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1. Trends and convergence in the consumption of livestock products §


Appendix 1. - Results from estimating growth equations (equation in box 12 Bovine hides in India)

§ Alicia Rambaldi provided helpful comments on this chapter but she is not responsible for any errors.
The purpose of this chapter is to present information on trends in the consumption of livestock products in the countries of the Asia-Pacific region using data from the Food and Agriculture Organization of the United Nations (FAO). After outlining developments in the consumption of different livestock products, the issue of convergence in the consumption of livestock products across countries will be examined. This is done by relating the growth rates in consumption of different livestock products in a number of countries to the level of consumption of these livestock products in those same countries at the start of the period for which the growth rates were calculated. The results from this should help analysts in their thinking about the possible future path of livestock product consumption in the countries of the Asia-Pacific region. Fish are not explicitly included in this chapter, although their importance in the Asia-Pacific region is acknowledged.

Grigg (1999) describes the average diet in Western Europe in the nineteenth century as one in which livestock products rarely provided more than 15 percent of total calorie intake. He explains that the French diet in the nineteenth century was similar to that in developing countries in the 1960s. The bottom half of the French population during the 1860s ate about 20 kg of meat each year, while the same group in England would have eaten barely 10 kg of meat (Smil 2000). Grigg (1999) goes on to outline how diets in Western Europe were transformed by a number of economic and technological changes. These were:

It is interesting to note that Grigg (1999) appears to place substantial weighting to factors on the supply side since two of the three sets of factors mentioned are supply shifters.

In the 1960s, diets have changed in the developing countries of the Asia-Pacific region for reasons that are broadly similar to those that shaped Western European diets a century earlier. Increased agricultural productivity, increased incomes (reflecting an increased opportunity cost of time) and changes in life style such as increased urbanization were taking place at the same time as changes were occurring in the consumption of livestock products. Furthermore, just as cultural and historical factors have been influential in shaping the diets of western Europeans (Simoons 1978), cultural, religious and historical factors have also been important influences on Asian diets. For example, the followers of Islam in countries such as Indonesia, Pakistan, Bangladesh and China do not consume pork, and the cow is regarded as sacred by India's Hindus, preventing the consumption of cow's flesh. Fish from certain sacred rivers in Bangladesh and from the klongs (canals) adjoining Thailand's Buddhist temples can not be eaten in those countries.[1] Kuntowijoyo (1991), cited in Mulyo (2000), explains that in Indonesia, the food that is consumed should be halal (allowed by religious teachings) as well as nutritious.

The data source

As noted already, the data presented in this chapter came from FAO. The data relate to supply per person and are derived from production in the country, net trade, change in stocks and waste. Data quality is a problem when examining agricultural markets in developing countries. Problems related to product quality as well as to the level of services embodied in the product makes analysing developed country markets also difficult. In a recent review of models from FAO, the United States Department of Agriculture and the International Food Policy Research Institute, McCalla and Revoredo (2001) pointed out that data problems are a "major cause of error" (p.25). There are a variety of reasons for the sometimes dubious quality of the data. Three of these will be mentioned here. First, the informal market for many agricultural commodities in developing countries is important. In India, for example, some commentators say 85 to 90 percent of the milk that is consumed is sold through informal channels. In Sri Lanka, the figure is said to be closer to 40 percent. Adulteration of milk is a major issue in Pakistan and this would create uncertainty as to the quantity of milk being consumed. A second reason is that livestock production by subsistence farmers is difficult to estimate. Village poultry and egg production, for example, is seldom recorded accurately and this would impact on estimates of food consumption by people living in villages. A third reason is that different agencies are usually involved in data collection and this makes quality control of the data problematic in at least some of the countries examined. (Box 2.3 in Chapter 2 describes the situation that has existed in China.) The data quality issue is an important qualification to the material that will be presented in this chapter.

Livestock as a source of protein

Animal protein based foods contain all of the essential amino acids needed to maintain the body. Recommended levels of protein consumption vary depending upon a range of factors including - but not limited to - age, body size and sex.[2] For example, some authorities say that for infants the recommended protein intake is 2 g per kg of bodyweight; for men and women, the recommended intake is 0.75 g per kg of body weight; while for pregnant women and lactating women protein needs are 6.75 g and 16.75 g per kg of bodyweight, respectively (Stanton 2001). According to Hussain (1992), protein intake should be 45.3 g per day. One third of this, Hussain (1992) contends, should come from livestock products. Smil (2000) is more cautious, and points out that finding a consensus on protein requirements is "an elusive task even after more than a century of relevant research" (p.228). Nonetheless, a consistent view of most writers is that livestock products can play a useful part in meeting protein requirements.

As well as being a source of protein of high biological value, livestock products provide micronutrients such as vitamin A and iron, both of which are important in preventing malnutrition. To meet average daily requirements for energy, iron and zinc, a child would need to eat 2 kg of corn and beans each day which is more than a child is physically able to do. The same amount is available in 60 g of meat (World Bank 2001). There are significant public health consequences associated with livestock consumption. Children who are malnourished are susceptible to viral, parasitic and bacterial infections (van der Zipf 1999); and toddlers whose diets include little animal protein do not perform as well on cognitive tests as children who do have animal protein in their diets (World Bank 2001). Too much protein can have undesirable health effects, interfering with calcium absorption, the functioning of the kidneys and leading to fat build-up. This tends to be a problem in the high-income countries of the west at the present time and it is emerging as a problem among certain groups in some of the developing countries.

There are differences between countries in the level of protein intake from livestock products as Table 1 shows. Protein consumption based upon livestock products was highest in 1999 in the four high-income countries (Australia, New Zealand, Japan and the Republic of Korea) and Mongolia. Protein from animal products was particularly high in Australia and New Zealand for all of the years shown in Table 1. Mongolia and Malaysia were the only countries among the developing country group where livestock based protein consumption was anything like the levels in the high income countries; for Malaysia this has only been the case since the mid-1990s. In the countries of South Asia, per person consumption of protein from livestock products was highest in 1999 in Pakistan at 22.2 g per person per day and lowest in Bangladesh at 5.9 g per person per day. In both of these countries, consumption of protein from livestock products has been relatively stable since the mid-1990s. Cambodia, Laos and Myanmar had the lowest levels of protein from livestock products, at less than 10 g per person per day in 1999. In all of these three countries, there is evidence that consumption has recently been increasing. The importance of livestock products as a source of protein has increased dramatically in Malaysia; since the mid-1970s, protein from livestock has almost doubled. Of the other countries in South-east Asia, Thailand and the Philippines had broadly similar levels of protein intake from livestock products although for Thailand the increase over the last decade has been more marked. Indonesia and Viet Nam are clearly on a lower level in terms of protein intake from livestock products but consumption in both countries has been increasing (Table 1).

Table 1 Protein consumption per person per day in grams derived from animal products

Country

1961

1965

1970

1975

1980

1985

1990

1995

1999

High-income countries










Australia

68.2

70.9

70.2

78.0

69.8

70.8

72.8

68.5

66.1

New Zealand

60.5

61.3

65.7

72.5

65.0

68.0

64.0

64.2

59.8

Japan

23.4

28.3

36.1

40.3

44.8

49.2

53.0

54.9

51.7

Korea, Rep. of

5.3

6.5

7.1

13.1

15.6

19.9

27.6

34.2

36.2

East Asia

China

3.5

5.7

5.4

6.4

7.4

10.2

14.2

23.6

28.9

Mongolia

61.2

56.1

53.6

54.4

50.2

43.4

47.9

46.9

50.5

South Asia

India

6.2

5.9

5.8

6.3

6.7

8.5

9.0

10.0

10.3

Nepal

7.6

7.7

7.8

8.4

8.6

9.2

9.1

8.8

9.1

Pakistan

13.8

14.1

13.9

13.9

14.4

15.3

17.8

20.7

22.2

Sri Lanka

8.8

9.4

9.3

7.7

9.9

10.0

9.8

11.8

13.0

Bangladesh

5.2

6.1

6.2

5.4

4.7

5.2

4.8

5.4

5.9

South-east Asia

Cambodia

4.2

5.7

7.4

7.1

3.3

7.5

8.7

8.6

8.2

Laos

5.2

6.4

7

5.3

6.6

6.4

6.6

8.8

8.9

Myanmar

8.3

8.1

7.6

7.6

8.4

9.4

8.2

8.5

9.4

Thailand

11.7

13.8

17.3

15.9

15.3

17.7

18.5

25.0

23.7

Malaysia

14.1

14.9

16.7

21.6

25.2

29.6

34.4

44.3

42.8

Viet Nam

8.9

10.0

9.7

7.9

7.3

9.0

9.6

13.5

14.6

Philippines

15.1

16.9

20.0

21.4

21.3

19.4

23.8

24.1

24.5

Indonesia

4.7

4.8

5.4

5.6

7.2

8.4

9.4

11.6

11.5


Source: calculated from FAO data

The importance of the different livestock products as a source of protein varies across countries. Turning first to bovine meat, the FAO statistics indicated that in five of the countries listed in Table 1, the importance of bovine meat as a source of protein was higher in 1999 than in 1961. The relative contribution of bovine meat in Japan and the Republic of Korea more than doubled, while it also increased dramatically in China albeit from very low levels in 1961. The other countries where the relative importance of bovine meat increased were Nepal and Laos. For the other countries, the role of bovine meat as a contributor to protein from livestock either stayed roughly the same (for example, Viet Nam, Australia and Malaysia) or declined (Sri Lanka, Bangladesh and Thailand). It is apparent from the data in Table 2 that there is a great deal of variability across countries. Further, it seems that between 1961 and 1999 there has been no statistically significant change in the variability of the contribution made to protein by bovine meat.[3] There is a strong correlation between the contribution made by bovine meat to protein intake for the years shown in Table 2. This implies that countries where the contribution of bovine meat was high in one year were also countries where the contribution was high in other years. However, the strength of this correlation decreased over time. The correlation between the contribution made by bovine meat to protein consumption in 1961 and 1965 was 0.94, while the correlation between its contribution in 1961 and 1999 was 0.68[4]. This indicates that the changes taking place in the diets of the different countries in the region were not uniform.

Table 2 Bovine meat's percentage share of protein from the consumption of livestock products

Country

1961

1965

1970

1975

1980

1985

1990

1995

1999

High-income countries

Australia

23.0

27.9

24.6

34.6

28.9

26.0

24.6

22.8

24.4

New Zealand

25.3

28.1

25.1

26.3

26.3

19.0

19.5

19.5

18.6

Japan

2.6

2.8

3.0

3.5

4.2

4.7

6.2

8.0

7.5

Korea

5.7

7.7

5.6

6.9

5.8

8.0

8.0

10.2

11.6

East Asia

China

<0.01

1.8

1.9

1.6

1.4

2.0

2.1

4.7

5.2

Mongolia

27.6

22.6

24.3

23.0

24.3

22.8

20.5

22.6

24.4

South Asia

India

12.9

13.6

13.8

12.7

13.4

10.6

11.1

10.0

9.7

Nepal

18.4

19.5

19.2

21.4

24.4

28.3

27.5

27.3

26.4

Pakistan

12.3

12.1

12.2

11.5

11.1

11.1

11.8

11.1

9.9

Sri Lanka

13.6

14.9

12.9

15.6

8.1

8.0

6.1

5.9

4.6

Bangladesh

19.2

14.8

14.5

14.8

12.8

11.5

12.5

9.3

8.5

South-east Asia

Cambodia

23.8

17.5

21.6

15.5

24.2

17.3

18.4

20.9

20.7

Laos

17.3

15.6

18.6

15.1

15.2

20.3

21.2

23.9

28.1

Myanmar

12.0

13.6

14.5

13.2

13.1

11.7

12.2

10.6

9.6

Thailand

21.4

17.4

13.3

15.1

13.7

13.0

11.4

8.8

6.3

Malaysia

5.0

4.7

3.0

2.3

3.2

3.7

4.1

4.5

4.9

Viet Nam

6.7

7.0

7.2

7.6

8.2

8.9

8.3

5.9

5.5

Philippines

6.6

6.5

4.5

6.1

5.2

3.1

3.8

5.0

6.5

Indonesia

12.8

12.5

11.1

12.5

8.3

7.1

6.4

6.0

7.0


Source: calculated from FAO data

Poultry meat faces no major cultural, religious or social prejudices, unlike other meats[5]. This feature plus the high feed conversion efficiency of poultry - in particular chicken - means that poultry has played, and will continue to play, an important part in meeting future food needs. The average contribution of poultry meat to protein consumption for the countries under study increased from 4.2 percent in 1961 to 9.9 percent in 1999 (Table 3). It is obvious that the increases were across the board although it is also clear from the information in the table that in some countries (for example Viet Nam and China), there was substantial variability between years. The coefficient of variation calculated using the data for all countries in 1999 was 68 - less than the 86 calculated using the data for 1961. However, the variability in the contribution made by poultry meat to protein consumption as measured by the variance was not statistically different in 1961 from 1999[6]. As was the case for bovine meat, the correlation between the percentage contribution made by poultry meat to protein intake from livestock was positive, indicating that a high contribution by poultry meat in one year was associated with a high contribution in other years. The correlation between the contribution made by poultry meat in 1961 and in later years showed the same pattern as for bovine meat in that it fell over the years[7].

Table 3 Poultry meat's percentage share of protein from the consumption of livestock products

Country

1961

1965

1970

1975

1980

1985

1990

1995

1999

High-income countries

Australia

2.5

3.1

4.8

5.9

10.5

10.9

11.7

13.3

15.9

New Zealand

1.7

2.1

2.9

4.3

5.5

7.6

9.4

13.7

15.6

Japan

2.1

2.8

4.4

5.5

7.6

8.1

8.5

9.1

9.9

Korea, Rep. of

3.8

3.1

7.0

4.6

5.1

5.5

7.6

9.4

9.1

East Asia

China

8.6

5.3

7.4

6.3

6.8

5.9

7.0

9.7

10.7

Mongolia

0.2

0.2

<0.01

<0.01

0.2

<0.01

<0.01

<0.01

<0.01

South Asia

India

<0.01

<0.01

<0.01

<0.01

1.5

1.2

1.1

2.0

1.9

Nepal

1.3

1.3

1.3

1.2

1.2

1.1

2.2

2.3

2.2

Pakistan

0.7

0.7

0.7

0.7

1.4

2.6

2.8

3.9

3.6

Sri Lanka

2.3

3.2

4.3

5.2

4.0

4.0

5.1

8.5

8.5

Bangladesh

1.9

3.3

4.8

3.7

4.3

3.8

4.2

5.6

5.1

South-east Asia

Cambodia

4.8

7.0

5.4

5.6

9.1

6.7

5.7

5.8

7.3

Laos

13.5

15.6

15.7

9.4

6.1

7.8

9.1

8.0

7.9

Myanmar

3.6

3.7

7.9

6.6

7.1

9.6

7.3

9.4

12.8

Thailand

10.3

10.1

12.1

15.1

15.7

15.8

17.3

19.2

19.8

Malaysia

7.8

10.7

13.2

13.9

12.7

16.9

19.8

25.1

28.3

Viet Nam

6.7

6.0

5.2

6.3

11.0

8.9

8.3

5.2

8.9

Philippines

4.6

5.3

4.5

5.1

7.5

6.2

5.5

8.3

10.2

Indonesia

4.3

4.2

3.7

3.6

5.6

7.1

9.6

12.9

9.6


Source: calculated from FAO data

Pigmeat is the most important source of animal protein in China and Viet Nam. In both countries, pigmeat provided over 30 percent of the protein intake sourced from livestock. Chinese pigmeat production has not kept pace with the growth in the output of other meats in China and this is reflected in the decline in relative importance of pigmeat in Chinese diets (Longworth, Brown and Waldron 2001). In the high-income group of countries, pigmeat's relative importance increased. This was most noticeable in the Republic of Korea where its percentage share of livestock based protein increased from negligible levels in the mid-1980s to just over 16 percent by 1999. In Australia and New Zealand, pigmeat consumption has been bolstered by its image among consumers, concerned about the health problems said to be associated with the consumption of red meat, as "the other white meat". Consumption of pigmeat in India and elsewhere through South Asia plays only a minor part in contributing to protein intake, reflecting religion (Bangladesh and Pakistan) and cultural factors (India, Sri Lanka and Nepal). The high apparent consumption of pigmeat in Indonesia is a puzzle given that Indonesia is primarily a Muslim country. The fact that several million Indonesians are of Chinese extraction - these people would be expected to have a strong preference for pork - along with the presence of other minorities whose religion does not prevent them consuming pork, goes part of the way to explaining the high level of pigmeat consumption. In Thailand and Malaysia, the percentage share of animal protein from pigmeat has been declining, reflecting the increased importance to consumers in both countries of poultry. The part played by pigmeat in the Philippines, Myanmar and Laos has been changeable, although for the Philippines at least it seems the relative importance of pigmeat as a source of animal protein has been increasing over the last ten years (Table 4).

Table 4 Pigmeat's percentage share of protein from the consumption of livestock products

Country

1961

1965

1970

1975

1980

1985

1990

1995

1999

High-income countries

Australia

3.7

3.8

4.7

4.0

5.3

5.6

6.2

6.9

7.1

New Zealand

5.5

5.5

4.6

3.6

4.5

5.4

5.2

5.9

7.7

Japan

2.6

3.9

5.3

6.7

8.0

7.7

8.1

8.4

8.9

Korea

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

13.0

15.2

16.3

East Asia

China

20.0

38.6

40.7

39.1

48.6

47.1

43.0

34.3

33.9

Mongolia

0.2

0.4

0.2

0.2

0.4

0.9

2.3

0.2

0.2

South Asia

India

1.6

1.7

1.7

1.6

1.5

1.2

2.2

2.0

1.9

Nepal

1.3

1.3

1.3

1.2

1.2

1.1

2.2

2.3

2.2

Pakistan

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

Sri Lanka

<0.01

<0.01

<0.01

<0.01

1.0

<0.01

<0.01

<0.01

<0.01

Bangladesh

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

South-east Asia

Cambodia

11.9

21.1

23.0

14.1

6.1

24.0

21.8

25.6

29.3

Laos

23.1

26.6

18.6

22.6

24.2

20.3

24.2

21.6

21.3

Myanmar

4.8

4.9

10.5

7.9

8.3

7.4

4.9

5.9

6.4

Thailand

12.0

10.9

10.4

8.2

11.8

13.0

10.3

10.0

8.9

Malaysia

14.2

12.8

12.0

13.0

11.9

10.1

11.6

9.9

8.2

Viet Nam

24.7

22.0

19.6

20.3

23.3

32.2

34.4

31.1

35.6

Philippines

14.6

16.6

15.5

10.7

12.2

11.3

14.3

14.9

16.7

Indonesia

6.4

6.3

5.6

7.1

5.6

8.3

9.6

7.8

9.6


Source: calculated from FAO data

The average contribution that milk, in the form of drinking milk or milk based products, makes to protein intake from livestock products declined from 13.4 percent in 1961 to 12 percent in 1999 for the countries being studied[8]. The variability across countries was not different in a statistical sense in 1999 from the variability across countries in 1961[9]. It is clear that for the countries of South Asia, milk plays a much more important role in nutrition than in any of the other regions. In India, for example, milk has provided over 40 percent of the protein intake from livestock products, while in Nepal and Pakistan, milk's contribution was over 30 percent for each of the years shown in Table 5. Milk is an important source of calcium, and it would be difficult for a child to meet its calcium requirements relying only on a cereal-based diet (World Bank 2001). Smil (2000) points out that mammalian milk production is an inherently efficient energy conversion process. Feed/milk ratios for the most efficient dairy cows is less than 0.6, which means that between 55 and 67 percent of gross energy in the feed can end up as food energy in milk. He also points out that lactose intolerance (or lactase deficiency) affects people in the Asia-Pacific region. This has not been an insurmountable problem as the data in Table 5 suggest. The frequent consumption of small quantities of milk, rather than the consumption of a large amount at one time, and consumption of fermented dairy products causes few if any problems in populations characterised by lactose intolerance (Smil 2000).

Table 5 Milk's percentage share of protein from the consumption of livestock products

Country

1961

1965

1970

1975

1980

1985

1990

1995

1999

High-income countries

Australia

21.0

20.2

19.8

16.7

15.6

16.7

16.6

18.5

14.1

New Zealand

16.7

12.6

22.4

22.9

20.3

25.6

22.3

8.3

9.9

Japan

6.4

8.1

8.3

7.9

8.0

7.5

8.1

7.7

7.4

Korea

<0.01

<0.01

<0.01

0.8

3.2

4.0

4.0

2.9

4.7

East Asia

China

5.7

3.5

3.7

3.1

2.7

2.9

3.5

2.5

2.4

Mongolia

10.6

16.0

16.0

14.2

13.3

13.4

13.4

18.6

21.6

South Asia

India

43.5

39.0

41.4

39.7

41.8

51.8

46.7

46.0

44.7

Nepal

48.7

46.8

46.2

45.2

39.5

34.8

33.0

33.0

33.0

Pakistan

39.1

38.3

39.6

38.1

34.7

34.0

33.7

32.4

40.1

Sri Lanka

17.0

22.3

19.4

20.8

24.2

23.0

23.5

22.0

23.8

Bangladesh

<0.01

<0.01

1.6

1.9

2.1

<0.01

<0.01

<0.01

<0.01

South-east Asia

Cambodia

9.5

7.0

5.4

2.8

6.1

2.7

1.1

2.3

2.4

Laos

3.8

1.6

1.4

<0.01

<0.01

<0.01

1.5

2.3

2.2

Myanmar

7.2

8.6

5.3

6.6

7.1

8.5

8.5

9.4

8.5

Thailand

3.4

2.9

1.2

0.6

0.7

1.7

2.2

3.2

4.2

Malaysia

11.3

8.7

5.4

5.1

11.5

6.8

4.1

3.6

3.7

Viet Nam

2.2

2.0

1.0

1.3

1.4

1.1

1.0

0.7

0.7

Philippines

4.0

2.4

3.0

1.4

1.9

1.5

2.9

1.7

1.6

Indonesia

4.3

4.2

3.7

3.6

2.8

2.4

3.2

2.6

2.6


Source: calculated from FAO data

Returning again to the data in Table 5, it was found that the correlation between the contribution made by milk to protein consumption in 1961 with the contribution it made in 1999 was almost the same as for 1961 and 1965 at around 0.90[10]. This indicates that for the years studied - spanning almost four decades - there has been a fair degree of stability in the relative importance of milk as a source of protein across countries.

Eggs are a key source of protein throughout the Asia-Pacific region. For the very poor people, particularly those living in rural areas, eggs usually from village flocks may be the only significant source of animal protein in their diets. Hence it would be expected that as income levels increase, the importance of eggs relative to other sources of animal protein would decrease. Data were not available for this study to verify this so we cannot be definite about this point. For China, Malaysia, Thailand and Japan, eggs represented 10 percent or more of the animal based protein consumed by the average person. Since 1990, the relative importance of eggs in the diet of the average Malaysian and the average Thai has declined. In Japan and in China, the importance of eggs has remained relatively constant over this period. On the other hand, in Australia and New Zealand, both high-income countries, the relative importance of eggs as a source of protein declined markedly since the 1970s.

Table 6 Egg's percentage share of protein from the consumption of livestock products

Country

1961

1965

1970

1975

1980

1985

1990

1995

1999

High-income countries

Australia

5.0

4.9

5.1

4.6

4.9

4.2

4.0

2.6

2.7

New Zealand

8.4

8.2

8.1

6.9

7.1

5.6

5.6

4.5

5.9

Japan

12.0

14.5

14.4

12.2

11.6

10.8

11.1

11.3

11.6

Korea, Rep of

7.5

10.8

16.9

10.7

12.8

11.1

9.4

8.5

8.0

East Asia

China

17.1

10.5

11.1

10.9

10.8

14.7

14.1

16.9

17.0

Mongolia

<0.01

0.2

0.2

0.2

0.4

0.5

0.6

<0.01

<0.01

South Asia

India

1.6

1.7

1.7

3.2

3.0

4.7

4.4

4.0

3.9

Nepal

2.6

2.6

3.8

3.6

3.5

2.2

3.3

3.4

3.3

Pakistan

<0.01

<0.01

<0.01

1.4

2.8

2.6

2.8

2.9

2.7

Sri Lanka

3.4

4.3

4.3

3.9

6.1

6.0

8.2

5.9

5.4

Bangladesh

1.9

3.3

3.2

3.7

4.3

3.8

4.2

3.7

6.8

South-east Asia

Cambodia

4.8

3.5

4.1

4.2

9.1

4.0

3.4

3.5

1.2

Laos

1.9

1.6

2.9

5.7

4.5

4.7

3.0

2.3

4.5

Myanmar

2.4

2.5

2.6

2.6

3.6

12.8

9.8

9.4

8.5

Thailand

24.8

20.3

15.0

15.1

15.0

13.6

17.8

12.0

12.7

Malaysia

5.0

9.4

12.0

11.6

11.5

10.8

12.2

9.9

10.0

Viet Nam

5.6

5.0

4.1

3.8

4.1

3.3

4.2

3.7

4.1

Philippines

5.3

4.7

5.0

6.5

7.5

6.7

7.6

7.5

9.8

Indonesia

2.1

2.1

3.7

3.6

5.6

7.1

7.4

7.8

5.2


Source: calculated from FAO data

The variability in the role played by eggs as a protein source across countries appears to becoming less pronounced. This is indicated by the finding that there was a statistically significant difference in the variance of the contribution made by eggs to animal protein intake in 1999 and in 1961. The coefficient of variation was also less (66 in 1999 compared with 105 in 1961), suggesting again that the importance of eggs as an animal protein source was becoming more similar across countries over time.

Mutton and goat meat is important as a source of animal protein in Mongolia and also in New Zealand. It also plays a role to some degree in Australia, Pakistan, Bangladesh and Nepal. However, for the countries of South-east Asia, FAO statistics indicate that mutton and goat meat is of very minor importance. It is interesting to note nonetheless that aid programmes have been put in place to increase the production of mutton and goat meat. (One of these programmes is described in Box 14 in Chapter 4 of this report). The contribution of mutton and goat meat to the animal protein component of diets in Laos, Thailand and Viet Nam for most years included in this analysis was less than a tenth of a percent on average. FAO statistics indicate that the importance of mutton and goat meat is declining. The average contribution of these meats to the animal protein component of the diet in the countries shown in Table 7 fell from 5.8 percent in 1961 to 4.6 percent in 1999. Variability across countries in the proportion of animal protein coming from mutton and goat meat was not significantly different in a statistical sense between 1961 and 1999 (Table 7).

Table 7 The percentage share of mutton and goat meat in protein from the consumption of livestock products

Country

1961

1965

1970

1975

1980

1985

1990

1995

1999

High-income countries

Australia

22.6

18.2

17.9

11.3

9.7

11.2

10.6

8.9

8.2

New Zealand

23.3

22.2

20.5

17.4

16.3

13.4

15.9

18.5

16.1

Japan

0.4

0.7

1.1

1.0

0.4

0.4

0.4

0.2

0.2

Korea, Rep. of

<0.01

<0.01

<0.01

0.8

<0.01

0.5

0.4

0.3

0.3

East Asia

China

2.9

1.8

1.9

1.6

2.7

2.0

2.8

2.1

2.8

Mongolia

34.5

33.5

38.4

39.3

39.8

40.3

40.5

33.7

31.7

South Asia

India

4.8

6.8

5.2

3.2

4.5

3.5

3.3

3.0

2.9

Nepal

7.9

10.4

9.0

8.3

9.3

7.6

7.7

9.1

7.7

Pakistan

5.8

6.4

7.2

8.6

9.7

10.5

10.1

11.1

6.8

Sri Lanka

1.1

1.1

1.1

1.3

1.0

1.0

<0.01

0.8

<0.01

Bangladesh

3.8

3.3

3.2

3.7

2.1

3.8

6.3

7.4

6.8

South-east Asia

Cambodia

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

Laos

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

Myanmar

<0.01

1.2

<0.01

<0.01

<0.01

1.1

1.2

1.2

1.1

Thailand

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

Malaysia

1.4

0.7

0.6

0.5

0.8

0.3

0.6

0.5

0.5

Viet Nam

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

Philippines

<0.01

<0.01

0.5

0.5

0.5

1.0

0.8

0.8

0.8

Indonesia

2.1

2.1

1.9

3.6

1.4

2.4

2.1

1.7

1.7


Source: calculated from FAO data

Livestock as a source of calories and fat

Food availability is sometimes measured in terms of calories per person. At the global level, food availability per person increased from 2 300 kcal per day in the early 1960s to over 2 700 kcal per day in the 1990s. In East Asia, kilocalories per day averaged 1 750 in 1961-63 and in South Asia 2 030. By the early 1990s, availability had grown to 2 670 kcal in East Asia and 2 300 in South Asia. Some of the changes were dramatic: in China for example, per person food supplies in 1961 to 1963 averaged 1 659 kcal, while by the early 1990s, availability had increased to 2 713 kcal. Calorie supplies are projected by FAO to be 3 030 kcal per person in East Asia for 2010 and 2 450 kcal for South Asia. Livestock products are expected by most analysts to continue to have a major part in achieving these increases.

Of the developing countries shown in Table 8 and Table 9, the one that came closest to Australia and New Zealand in terms of calories and fat in the diet derived from livestock products is Mongolia. The calorie intake from livestock products of the average Mongolian in 1991 was 876.9 kcal per day compared with 960.9 kcal per day in Australia and 1 112.2 kcal per day in New Zealand. Rapid growth has been occurring in China - the 1999 level of 567.4 kcal per day was over 10 times the level in 1961. In the other countries, the 1999 level was usually only two to three times the 1961 level at most.

Table 8 Kilocalories per person per day derived from animal products

Country

1961

1965

1970

1975

1980

1985

1990

1995

1999

High-income countries

Australia

1253.6

1232.0

1223.3

1193.6

1052.5

1071.2

1116.8

1031.6

960.9

New Zealand

1209.0

1273.0

1312.6

1397.4

1308.1

1332.6

1270.8

1112.2

1048.4

Japan

238.5

316.3

418.7

460.6

517.8

559.0

593.4

606.7

574.2

Korea, Rep. of

46.2

62.7

91.4

155.9

176.4

227.7

323.5

411.5

438.5

East Asia

China

55.4

115.6

111.4

132.9

172.0

232.4

307.0

465.0

567.4

Mongolia

1050.2

991.8

998.9

1 021.90

943.5

832

915.1

834.0

876.9

South Asia

India

113.4

103.9

100.6

109.3

117.6

154.8

163.7

181.2

191.8

Nepal

146.9

146.9

150.1

159.4

158.6

160.1

160.9

154.4

160.2

Pakistan

272

276.6

273.6

271.5

273.6

288.1

335.5

389.5

429.2

Sri Lanka

100.9

113.4

107.3

89.0

116.1

117.9

113.6

139.9

150.3

Bangladesh

61.5

67.9

68.3

61.1

56.0

60.0

59.8

62.0

66.5

South-east Asia

Cambodia

58.4

88.4

119.6

90.6

42.2

119.8

131.1

144.8

148.2

Laos

86.5

108.4

102.7

79.6

104.6

96.7

109.4

139.9

139.8

Myanmar

92.3

97.8

96.3

93.6

105.1

119.5

95.4

101.8

116.8

Thailand

170.6

184.1

211.7

188.4

199.5

235.0

240.1

309.7

286.4

Malaysia

251.4

265.1

295.3

346.8

406.3

431.1

490.1

614.7

562.8

Viet Nam

138.6

146.1

135.9

112.3

112.7

160.7

173.7

236.8

272.1

Philippines

196.2

222.0

256.4

238.0

253.0

213.2

296.7

311.4

345.1

Indonesia

50.2

51.2

55.2

57.8

73.8

93.4

108.6

128.6

132.1


Source: calculated from FAO data

The situation with regard to livestock products as a source of fats was similar to that with regard to livestock as a source of kilocalories. Australia and New Zealand consumers obtained 66.2 and 83.4 g of fat per day on average, respectively, from livestock products. For consumers in both countries, there has been a substantial decline since the 1960s, reflecting concerns about the effects on health of a high level of animal products in the diet (Smith and Riethmuller 2000). In Nepal and Bangladesh, the increase in fat per person from livestock products was only slight and average consumption remained at low levels, while for Mongolia there was a decline from 83.2 g per person per day in 1961 to 65.9 g per person per day in 1999. For the other countries in Table 9, the movement has been in the opposite direction, with 1999 consumption of fat from livestock often substantially higher than in the 1960s. For the average person living in China, intake of fat from animal products increased more than tenfold between 1961 and 1999 from just over 4 g per day to over 48 g per day. This is well above the average consumption of fats from animal products in Japan and in the Republic of Korea. It is also the highest percentage increase for any of the countries shown in Table 9. The expansion of western style fast food restaurants in the Asia-Pacific region has attracted some criticism. In Thailand, for example, critics have pointed the finger at fast food restaurants for contributing to obesity problems among the children of the middle and upper income earners living in urban areas (see for example Malisuwan 1997 and Paengnoy 2001).

Table 9 Fat per person per day in grams derived from animal products

Country

1961

1965

1970

1975

1980

1985

1990

1995

1999

High-income countries

Australia

95.2

91.3

90.9

84.2

73.8

74.8

78.2

70.7

66.2

New Zealand

98.1

105.9

105.0

109.8

106.0

104.8

102.1

89.6

83.4

Japan

13.4

19.2

25.9

28.6

32.2

34.6

36.2

36.8

35.0

Korea, Rep. of

2.5

3.6

6.5

10.3

10.8

14.0

20.7

27.1

28.7

East Asia

China

4.3

9.9

9.6

11.5

15.3

20.5

26.8

39.5

48.2

Mongolia

83.2

77.5

79.6

81.9

76.1

67.5

73.1

64.3

65.9

South Asia

India

7.6

7.0

6.7

7.3

7.8

10.5

11.0

12.2

12.9

Nepal

10.2

10.2

10.5

11.1

11.1

11.0

11.3

10.8

11.2

Pakistan

18.6

18.9

18.8

18.6

18.6

19.7

23.1

27.0

29.3

Sri Lanka

5.6

6.4

6.0

4.9

6.5

6.6

6.3

8.1

8.2

Bangladesh

3.7

3.9

3.9

3.6

3.4

3.3

3.4

3.6

3.8

South-east Asia

Cambodia

3.9

6.5

9.3

6.5

2.7

9.6

10.2

11.5

12.2

Laos

6.7

8.7

7.8

6.3

8.2

7.7

8.8

10.8

10.8

Myanmar

5.1

5.6

6.5

6.4

7.1

8.1

6.1

6.6

7.7

Thailand

11.9

12.4

14.2

12.7

14.2

16.8

16.8

20.8

19.0

Viet Nam

11.0

11.2

10.0

8.4

8.9

13.3

14.5

19.2

22.9

Philippines

13.4

15.6

17.8

15.3

16.6

13.4

20.3

21.7

25.5

Indonesia

3.2

3.3

3.3

3.6

4.4

6.0

7.3

8.3

8.6


Source: calculated from FAO data

The information thus far presented has discussed the contribution of the various livestock products to protein, carbohydrates and calorie intake. The next part of this chapter will briefly outline the annual consumption of different livestock products to complete the picture on livestock product consumption. The country coverage is slightly expanded to include Brunei Darussalam and the Democratic Republic of Korea (Korea, DPR).

The consumption of livestock products

People living in Australia, New Zealand and Mongolia had by far the highest average consumption of bovine meats. In Australia, consumption was 42.4 kg per person in 1999, much the same level of consumption as in 1961. Australian consumption peaked at over 70 kg per person in the mid-1970s when Japan, a major export market for Australian beef, closed that market to imports to protect elements of the Japanese industry. Much of this beef went onto the Australian market, driving down prices and increasing the quantity consumed. Since then, per person consumption in Australian has fallen. New Zealand consumption has tended to follow the same path as Australia's albeit at a lower level. Per person consumption in Mongolia started off at about the same level as that in Australia and New Zealand, but by1999 it had fallen to just over 32 kg per person. In the two most populated countries in the Asia-Pacific region - India and China - consumption of bovine meats increased, but by substantially different amounts. China's per person consumption in 1999 (4 kg) was 400 times consumption in 1961 (0.1 kg). In India, the increase over the same period was much more modest - from 2.3 kg per person in 1961 to 2.7 kg per person in 1999. In South-east Asia, consumption increased between 1961 and 1999 in all countries, with the exception of Thailand where per person consumption declined (Table 10).

Table 10 Per person consumption of bovine meat, kg per year

Country

1961

1965

1970

1975

1980

1985

1990

1995

1999

High-income countries

Australia

41.2

52.0

45.4

71.0

53.1

48.3

47.1

42.2

42.4

New Zealand

44.0

49.8

47.6

54.7

49.1

37.2

36.1

38.9

32.0

Japan

1.5

2.1

2.9

3.5

4.9

6.1

8.4

10.3

9.9

Korea, Rep. of

0.8

1.4

1.2

2.4

2.5

4.1

5.8

10.0

11.4

East Asia

China

0.1

0.2

0.2

0.3

0.3

0.4

0.9

2.9

4.0

Mongolia

44.6

33.4

34.1

33.0

32.1

26.2

26.0

31.8

32.4

Korea, DPR

1.7

1.6

1.5

1.6

1.8

2.0

1.8

1.1

0.9

South Asia

Bangladesh

2.3

2.2

2.2

1.9

1.4

1.4

1.3

1.2

1.3

India

2.3

2.3

2.3

2.3

2.4

2.5

2.8

2.7

2.7

Nepal

4.0

4.2

4.3

5.2

6.2

7.8

7.5

7.3

7.4

Pakistan

4.8

4.7

4.7

4.6

4.7

4.9

6.1

6.4

6.4

Sri Lanka

3.0

3.4

3.0

2.8

2.0

2.1

1.5

1.6

1.5

South-east Asia

Brunei Darussalam

8.1

9.1

9.0

8.5

12.1

14.9

16.6

12.9

17.9

Cambodia

2.5

2.5

4.0

2.8

2.1

3.3

4.0

4.5

4.3

Indonesia

1.6

1.6

1.7

1.9

1.7

1.7

1.7

2.1

2.0

Laos

2.7

2.9

4.0

2.1

3.1

3.9

4.1

5.8

7.3

Malaysia

2.2

2.1

1.7

1.7

2.3

3.0

3.6

5.4

5.2

Myanmar

2.7

3.0

2.9

2.8

2.9

3.0

2.6

2.6

2.6

Philippines

2.4

2.8

2.3

3.2

2.8

1.6

2.3

3.4

4.2

Thailand

7.2

7.0

6.7

6.7

6.0

6.4

5.8

5.5

3.9

Viet Nam

1.9

2.0

2.1

1.9

1.9

2.4

2.5

2.4

2.3


Source: FAO

Table 11 shows per person consumption of pigmeat in China in 1999 was 32 kg. This was more than 10 kg ahead of the average consumption in the Republic of Korea, the country with the second highest average consumption of pigmeat in 1999. Per person pigmeat consumption in South Asia was low: the average Indian and Nepalese, for example, consumed 0.6 kg and 0.5 kg in 1999, respectively. Nonetheless, this was higher than the consumption figure in Sri Lanka of only 0.1 kg per person in 1999. Consumption in all of the high-income countries increased, with the largest percentage increase occurring in the Republic of Korea. Throughout the countries of South-east Asia, consumption per person also increased. Viet Nam and the Philippines had the highest average consumption in 1999 - 17.0 and 13.5 kg per person, respectively. Both countries had similar level of consumption to one another in 1961.

Table 11 Per person consumption of pigmeat, kg per year

Country

1961

1965

1970

1975

1980

1985

1990

1995

1999

High-income countries

Australia

10.30

10.80

13.40

12.50

14.80

16.30

18.40

19.40

19.30

New Zealand

15.10

15.30

13.30

11.30

11.60

14.90

13.80

16.10

19.20

Japan

2.10

4.00

7.10

10.30

13.40

14.10

15.20

17.40

17.30

Korea, Rep. of

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

12.50

18.00

20.70

East Asia

China

2.30

7.30

7.10

8.30

11.80

16.00

20.20

26.70

32.30

Mongolia

0.30

0.50

0.20

0.40

0.60

1.20

3.60

0.20

0.40

Korea, DPR

4.20

4.30

5.90

7.80

9.60

10.50

11.40

5.40

6.10

South Asia

India

0.30

0.30

0.30

0.30

0.40

0.50

0.50

0.50

0.60

Nepal

0.30

0.30

0.40

0.40

0.40

0.40

0.50

0.50

0.60

Sri Lanka

0.10

0.10

0.10

0.10

0.20

0.10

0.10

0.10

0.10

South-east Asia

Brunei Darussalam

4.80

5.40

3.70

3.50

4.40

6.00

4.30

11.00

8.10

Cambodia

1.70

3.80

5.60

3.40

0.80

6.00

6.30

7.20

8.00

Indonesia

1.00

1.10

1.10

1.00

1.20

2.20

3.00

2.90

3.60

Laos

4.00

5.50

4.40

4.00

5.20

4.40

5.30

6.10

6.10

Malaysia

6.70

6.30

6.60

9.30

9.90

9.90

13.20

14.50

11.70

Myanmar

1.10

1.40

2.30

2.00

2.30

2.20

1.40

1.60

2.10

Philippines

7.40

9.20

10.10

7.70

8.60

7.30

11.20

11.80

13.50

Thailand

4.70

4.80

5.80

4.30

5.80

7.50

6.10

8.30

6.80

Viet Nam

7.20

7.20

6.30

5.10

5.50

9.40

10.80

13.70

17.00


Source: FAO

Poultry meat consumption rose in all countries between 1961 and 1999, except for the Democratic People's Republic of Korea (Korea, DPR) and Mongolia. In both of these countries, consumption was low in 1961 at 1.4 kg per person in Korea, DPR and 0.2 kg per person in Mongolia. Per person consumption in Malaysia and Brunei Darussalam has been broadly similar to that in Australia and New Zealand. In these latter two high-income countries, the growth in the consumption of poultry has been particularly dramatic. As noted elsewhere in this report, this reflects demand side factors (concerns by consumers about the negative health effects said to be associated with red meat) and supply side factors (falling real poultry prices due to technical developments in production and processing). Average consumption in Indonesia in 1999 was double that for 1980 when it was 1.2 kg per person. Indonesia's growth in poultry consumption has been curtailed by the decline in economic condition in Indonesia since the financial crisis of the late 1990s. In fact, the data indicate that Indonesia's per person consumption in 1999 was lower than per person consumption in 1995. It is probable that the decline was primarily due to production being cut by the large poultry producers in response to higher feed prices caused by the fall in value of the Indonesian Rupiah. These producers are heavily reliant on imported feed grains. Obviously, demand would also have been lowered by the decline in Indonesian incomes that occurred as a result of the crisis. It is interesting to note that in the other countries of the region most harmed by the crisis - Malaysia, the Philippines, Thailand and the Republic of Korea - average consumption of poultry meat did not decline over the period 1995 to 1999.

Table 12 Per person consumption of poultry meat, kg per year

Country

1961

1965

1970

1975

1980

1985

1990

1995

1999

High-income countries

Australia

4.8

6.3

9.8

13.3

21.0

22.0

24.3

26.2

30.2

New Zealand

2.8

3.7

5.3

8.8

10.2

15.0

17.3

25.1

26.9

Japan

1.4

2.1

4.7

6.7

10.0

11.8

13.5

14.7

14.8

Korea, Rep. Of

0.6

0.7

1.4

1.6

2.4

3.2

6.2

9.3

9.9

East Asia

China

1.0

1.1

1.1

1.3

1.6

1.8

3.2

7.0

9.7

Mongolia

0.2

0.3

0.2

0.1

0.2

0.2

0.1

0.0

0.1

Korea, DPR

1.4

1.4

1.4

1.7

1.9

2.0

2.4

1.0

1.1

South Asia

Bangladesh

0.4

0.6

0.9

0.6

0.6

0.6

0.7

0.8

0.8

India

0.2

0.1

0.1

0.1

0.2

0.2

0.4

0.5

0.6

Nepal

0.4

0.4

0.4

0.4

0.4

0.3

0.5

0.5

0.6

Pakistan

0.2

0.2

0.2

0.3

0.6

1.1

1.5

2.5

2.3

Sri Lanka

0.6

1.0

1.2

1.2

1.3

1.2

1.4

3.0

3.1

South-east Asia

Brunei Darussalam

4.5

6.7

10.0

16.3

21.9

22.3

27.6

31.3

28.4

Cambodia

0.7

0.9

1.2

1.2

0.9

1.6

1.7

1.7

2.0

Indonesia

0.6

0.5

0.5

0.7

1.2

1.9

2.8

4.4

3.4

Laos

2.0

2.9

3.4

1.4

1.3

1.6

1.7

2.2

2.1

Malaysia

3.5

4.9

6.9

9.3

10.1

15.5

20.7

33.7

36.5

Myanmar

0.9

1.1

1.8

1.6

2.0

3.0

2.0

2.6

3.7

Philippines

2.2

2.6

2.6

3.2

4.7

3.5

4.0

6.1

7.4

Thailand

3.3

4.1

5.8

7.0

7.1

8.3

9.4

13.7

13.9

Viet Nam

1.9

2.1

1.6

1.7

2.7

2.5

2.4

2.4

4.2


Source: FAO

Mongolia, Australia and New Zealand had the highest per person consumption of mutton and goat meat in 1999. Consumption per person in Mongolia was 46.1 kg, in New Zealand it was 28.6 kg and in Australia 16.2 kg. Pakistan, Nepal, Bangladesh and China were the only other countries where consumers on average ate more than 1 kg in any of the years 1961 to 1999 (Table 13). Consumption of mutton and goat meats was virtually insignificant in the South-east Asian region. Mutton and goat meat is most likely to be consumed in rural villages. Hence, there is the possibility that the consumption of mutton and goat meat is under reported in the official country statistics that form the basis of the FAO statistics.

Table 13 Per person consumption of mutton and goat meat, kg per year

Country

1961

1965

1970

1975

1980

1985

1990

1995

1999

High-income countries

Australia

46.1

38.6

37.8

26.3

20.3

23.7

23.1

18.3

16.2

New Zealand

42.2

40.7

40.3

37.6

31.6

27.3

30.4

35.5

28.6

Japan

0.3

0.6

1.1

1.2

0.7

0.6

0.5

0.4

0.2

Korea, Rep. of

0.0

0.0

0.0

0.2

0.1

0.2

0.2

0.3

0.2

East Asia

China

0.1

0.2

0.3

0.3

0.5

0.6

0.9

1.4

2.0

Mongolia

60.1

54.2

59.3

61.3

57.7

50.9

56.5

46.2

46.1

Korea, DPR

0.1

0.1

0.1

0.2

0.2

0.2

0.3

0.2

0.5

South Asia

Bangladesh

0.5

0.6

0.5

0.5

0.3

0.5

0.7

0.9

1.0

India

0.8

0.8

0.7

0.6

0.7

0.7

0.7

0.7

0.7

Nepal

1.5

1.7

1.7

1.8

1.8

1.7

1.8

1.7

1.7

Pakistan

2.1

2.3

2.3

2.9

3.4

3.8

4.4

5.5

3.6

Sri Lanka

0.3

0.3

0.2

0.2

0.2

0.2

0.1

0.2

0.1

South-east Asia

Brunei Darussalam

0.1

0.2

0.4

0.5

0.7

0.8

0.6

0.9

1.0

Indonesia

0.4

0.3

0.3

0.4

0.4

0.5

0.5

0.5

0.4

Laos

<0.01

<0.01

<0.01

<0.01

<0.01

0.1

0.1

0.1

0.1

Malaysia

0.4

0.4

0.4

0.3

0.5

0.4

0.4

0.6

0.6

Myanmar

0.1

0.1

0.1

0.1

0.1

0.2

0.2

0.2

0.2

Philippines

0.1

0.1

0.1

0.2

0.3

0.3

0.4

0.5

0.4

Thailand

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

Viet Nam

<0.01

<0.01

<0.01

<0.01

<0.01

0.1

<0.01

0.1

0.1


Source: FAO

Consumption of other meats - these include horse meat, rabbits, camels and microruminants such as guinea pigs - was extremely low in most of the countries shown in Table 14. Mongolia and New Zealand were the only countries where per person consumption was more than 1 kg in 1999. Microruminants require little in the way of inputs, and are raised most often in developing countries by women and children. They can be fed on kitchen scraps and kept in cages inside the home. For some low-income urban households in particular, they may be the only source of animal protein available to the household.

Table 14 Per person consumption of other meat, kg per year

Country

1961

1965

1970

1975

1980

1985

1990

1995

1999

High-income countries

Australia

1.4

0.9

0.5

0.5

0.5

1.0

0.8

0.8

0.8

New Zealand

0.4

0.8

0.3

0.5

0.7

0.4

1.0

2.5

3.2

Japan

2.2

2.4

1.7

1.4

1.0

0.8

0.4

0.3

0.2

Korea, Rep. Of

0.2

0.2

0.1

0.2

0.2

0.1

0.1

0.2

0.2

East Asia

China

0.1

0.1

0.1

0.1

0.1

0.2

0.2

0.6

0.6

Mongolia

39.6

35.5

25.3

27.7

23.3

20.5

19.1

12.5

16.9

Korea, DPR

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

South Asia

Bangladesh

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

India

0.1

0.1

0.1

0.1

0.1

0.2

0.1

0.1

0.1

Nepal

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

Pakistan

0.2

0.2

0.2

0.2

0.1

0.1

0.1

0.1

0.1

Sri Lanka

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

South-east Asia

Brunei Darussalam

<0.01

0.1

0.2

0.4

0.8

0.5

0.2

2.1

0.2

Cambodia

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

Indonesia

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

Laos

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

Malaysia

0.3

0.6

0.2

0.2

0.5

0.6

<0.01

<0.01

<0.01

Myanmar

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

<0.01

Philippines

0.2

0.2

0.2

0.2

0.2

0.2

0.2

0.2

0.2

Viet Nam

<0.01

0.1

0.1

0.1

0.1

0.1

0.2

0.2

0.2


Source: FAO

The consumption of milk in the form of drinking milk or dairy products is high in South Asia relative to consumption in China and in the countries of South-east Asia. In Pakistan, for example, each person consumed the equivalent of 87.2 kg of milk on average in 1999. This was approximately double the consumption in Japan. Consumption in India was 47.5 kg per person and 35.9 kg per person in Sri Lanka. Both of these 1999 average levels of consumption were well above the averages for 1961 for these two countries. Milk consumption in Australia was on a downtrend for the first 20 years covered in this study, but since 1980, consumption has been increasing. New Zealand's consumption appears to fluctuate and shows no clear pattern (Table 15). One final point in regard to milk is that school milk programmes have been used extensively throughout the Asia-Pacific region in recent years, and elsewhere through the developing countries. Those advocating these programmes believe that through these programmes milk consumption will increase in the future.

Table 15 Per person consumption of whole milk, kg per year

Country

1961

1965

1970

1975

1980

1985

1990

1995

1999

High-income countries

Australia

160.4

159.9

156.1

144.9

122.0

132.4

135.7

141.0

103.6

New Zealand

112.1

85.1

163.4

184.0

145.2

189.6

163.8

157.3

163.2

Japan

16.6

25.3

33.2

35.0

40.8

41.8

47.9

47.2

43.5

Korea, Rep. Of

0.3

0.4

0.5

1.3

5.7

9.4

11.1

9.5

16.8

East Asia

China

1.8

1.8

1.7

1.8

2.0

3.1

4.5

5.9

6.9

Mongolia

73.5

100.5

96.6

86.1

74.7

65.8

71.9

98.8

124.7

Korea, DPR

0.2

0.4

1.1

1.5

3.0

3.8

4.2

3.8

3.7

South Asia

Bangladesh

11.6

11.7

10.9

10.5

10.2

12.0

13.3

12.5

12.8

India

27.3

22.2

23.2

24.9

27.5

40.6

40.9

45.0

47.5

Nepal

36.7

35.5

36.0

37.4

33.3

31.5

29.6

28.6

30.4

Pakistan

53.1

53.0

53.8

51.7

48.8

50.9

58.3

65.6

87.2

Sri Lanka

16.8

22.8

20.7

18.2

26.6

25.0

25.9

29.0

35.9

South-east Asia

Brunei Darussalam

17.6

19.7

21.5

22.8

76.9

76.8

65.2

56.4

53.7

Cambodia

3.5

3.6

3.7

2.4

2.1

1.9

1.7

2.9

2.3

Indonesia

2.1

1.8

1.4

1.5

2.2

2.5

2.9

3.2

3.2

Laos

1.8

1.4

0.9

0.4

0.4

0.5

0.9

2.4

2.2

Malaysia

19.0

15.0

10.3

12.9

34.5

21.3

16.4

18.6

17.3

Myanmar

6.5

7.9

4.1

4.7

5.5

8.6

6.9

7.4

7.9

Philippines

6.6

4.9

6.7

3.1

3.9

3.0

6.9

4.4

4.4

Thailand

3.5

3.6

1.7

1.4

1.7

3.8

4.3

9.4

12.2

Viet Nam

1.8

2.2

1.0

0.6

0.9

0.9

0.9

0.9

0.9


Source: FAO

Table 16 provides details of the average consumption of eggs for the countries examined for 1961 to 1999. Malaysian consumption was the highest for those countries not classed as being high-income countries. Consumption in Brunei Darussalam was similar to that in the high-income countries, reflecting that country's high average income. As has been the case generally for the other livestock products, consumption in the developing countries was higher in 1999 than in 1961. For the high-income countries, consumption in 1999 was lower than in 1961 in Australia and in New Zealand while it was the reverse for Japan and the Republic of Korea. In some of the countries of the Asia-Pacific region, programmes have been introduced in an attempt to increase consumption. In Thailand, for example, a country where the average consumption was about 140 eggs per person per year in 2001, the industry has implemented a programme to allay consumer concerns about egg consumption lifting cholesterol levels. The programme has involved the use of posters, stickers and signs. Some of the promotion material has included claims that egg consumption retards the onset of Alzheimer's Disease (Anon 2002).

Table 16 Per person consumption of eggs, kg per year

Country

1961

1965

1970

1975

1980

1985

1990

1995

1999

High-income countries

Australia

11.7

12.0

12.3

12.3

11.6

10.2

9.8

6.2

6.7

New Zealand

17.4

16.9

18.1

17.0

15.8

13.1

12.4

9.9

10.9

Japan

9.0

12.9

16.4

15.7

16.4

16.9

18.8

19.7

20.0

Korea, Rep. of

1.4

2.1

3.7

4.6

6.4

7.1

8.4

9.1

9.2

East Asia

China

2.0

2.0

2.0

2.2

2.6

4.7

6.4

12.7

9.1

Mongolia

0.2

0.2

0.2

0.3

0.6

0.7

0.8

0.1

0.2

Korea, DPR

2.9

3.3

3.5

4.1

5.7

6.3

6.7

3.7

4.5

South Asia

Bangladesh

0.3

0.5

0.7

0.6

0.6

0.6

0.6

0.8

0.7

India

0.3

0.4

0.5

0.6

0.7

1.0

1.2

1.4

1.3

Nepal

0.8

0.8

0.9

1.0

0.9

0.8

1.0

0.9

0.9

Pakistan

0.1

0.1

0.2

0.5

1.0

1.5

1.8

1.9

1.8

Sri Lanka

0.9

1.3

1.4

1.1

1.9

2.0

2.5

2.4

2.5

South-east Asia

Brunei Darussalam

4.4

7.2

9.7

11.0

15.6

10.5

10.8

17.4

12.0

Cambodia

0.7

0.7

1.0

1.1

1.1

1.1

1.0

1.1

1.1

Indonesia

0.4

0.4

0.5

0.7

1.4

1.8

2.1

3.0

2.3

Laos

0.3

0.2

0.5

0.9

1.1

1.0

0.8

0.8

0.8

Malaysia

2.2

4.4

6.3

8.0

9.3

10.1

13.4

13.8

14.4

Myanmar

0.6

0.6

0.7

0.7

0.9

1.3

0.8

1.0

0.9

Philippines

2.5

2.6

3.0

4.3

5.1

4.2

5.7

5.8

5.5

Thailand

9.2

8.8

8.4

7.7

7.2

7.5

10.4

9.6

9.3

Viet Nam

1.5

1.6

1.4

1.0

0.9

1.1

1.2

1.7

1.4


Source: FAO

The material so far presented shows that substantial changes in the per person consumption of livestock products have occurred. The next section will examine whether these changes have resulted in the converging of the consumption of livestock products in the different countries.

Convergence in the consumption of livestock products

Attempting to arrive at forecasts of per person consumption of almost any food product is a complicated task since a raft of economic and non-economic factors drives consumption. The problem facing the analyst would be considerably simplified if there were a tendency for diets in different countries to become similar over time, or to show a tendency to converge. If convergence exists, countries where per person consumption was relatively high initially would be expected to show a slower rate of growth in per person consumption than countries where consumption was initially low, and vice versa. Figure 1 illustrates this.

Figure 1 Consumption convergence: an example

The figure on the left shows consumption over time for two countries, A and B. Country A has a low level of consumption at the start of the test period, while country B has a high level of consumption. Consumption in A grows more rapidly than in country B, and eventually at year t, consumption is the same in the two countries - in other words, there has been convergence. The figure on the right shows consumption growth and consumption in | the initial period for six countries. This is the pattern we would expect to find if there is consumption convergence. Fitting a regression line to the observations, with consumption growth as the dependent variable, would give a negative coefficient on initial consumption.

As a first step in investigating whether convergence exists, the rates of growth in the consumption of different livestock products were calculated for the period 1961 to 1999 and also for two sub-periods 1961 to 1980 and 1980 to 1999. The approach used to calculate these growth rates is outlined in Box 1. The growth rates calculated using this approach are in the appendix to this chapter.

Box 1 Methodology used to calculate growth in per person consumption of livestock products

Per person consumption in country i of commodity j in year t, (Cijt), is hypothesised to grow from consumption in the initial year (Cij0), according to (1.0):

Cijt = Cij0exp(cijt ×t) (1.0)

where cij is the growth rate in country i of commodity j and t is the year

Taking logarithms of both sides, (2.0) and (3.0) are obtained:
ln(Cijt) = ln(Cij0) + cijt t (2.0)

and for year (t - 1)

ln(Cijt-1) = ln(Cij0) + cijt(t - 1) (3.0)

Subtracting (3.0) from (2.0) gives (4.0):
cijt = ln(Cijt) - ln(Cijt-1) (4.0)

The relationship between the "average" growth for the years studied, cij, and the growth in period t, cijt is given by (4.1).

cijt = cij + ft (4.1)

where ft is an error term.

Equation (4.1) was estimated using the statistical package Microfit, part of the Microsoft suite of software, for each of the three periods 1961 to 1980, 1981 to 2000 and 1961 to 2000. The estimated value for cij was used as a point estimate of the growth rate of per person consumption in country i for commodity j providing that it was statistically different from zero. If the estimated value of cij was not statistically significant, consumption growth in that particular country i, for that particular commodity j, was viewed as being zero.


The procedure followed to test for convergence is described in Box 2. In brief, the test involved regressing the growth rates for a particular commodity for all of the countries against the initial level of consumption of that commodity in all of the countries. A statistically significant and negative coefficient on the variable representing consumption in the initial period indicates the hypothesis of no convergence in the consumption of livestock products cannot be accepted.

Box 2 Methodology used to test for consumption convergence

The model estimated was (5.0).

cij = h0j + h1jCij0 + h2jHi + qij (5.0)
where
cij is the rate of growth in the consumption in country i of commodity j over the test period
Cij0 is the consumption in country i of commodity j in the first year of the test period
Hi is a dummy variable with a value of 1 if country i is a high-income country and 0 if it is
not
h0j, h1j, and h2j are coefficients to be estimated
qij is an error term.

In model (5.0), the estimate of hh1j is the item of most interest. If the estimate is negative and statistically different from zero, this provides evidence that there is convergence in per the person consumption of commodity j.


The convergence hypothesis was tested using the data on bovine meat, poultry meat, pigmeat, wholemilk and eggs. Three periods 1961 to 1999, 1961 to 1980 and 1981 to 1999 were used to test for convergence in the consumption of poultry meat, pigmeat, wholemilk and eggs. For bovine meat, 1961 to 1999 was the sole period analysed because only five of the countries studied had statistically significant growth in consumption in the other two periods. Results from this analysis of convergence are shown in Table 17.

The expected negative sign was obtained on the variable initial consumption in the equations estimated for bovine meat, pigmeat, wholemilk and eggs for the period 1961 to 1999. This result supports the proposition that countries with a low initial level of consumption of bovine meat, pigmeat, wholemilk and eggs were likely to show faster growth in consumption in subsequent years than countries where the consumption of these products was high in 1961. Over time, there would therefore be a tendency for the consumption of livestock products to become more similar than they were in 1961. This seems not to be the case for poultry meat since the p-value on the estimated coefficient is high (0.61).

Table 17 Results from testing for convergence in the consumption of livestock products

Variable

1961-99

1961-80

1981-99


Estimated coefficient

p-value

Estimated coefficient

p-value

Estimated coefficient

p-value

Bovine meat

Constant

0.0098

0.14






1.52






Income dummy

0.0397

0.019






2.58






Initial consumption

-0.0009

0.05






-2.10






Poultry meat

Constant

0.0256

0.007

0.0103

0.31

0.0415

<0.001


3.08


1.05


5.16


Income dummy

0.0305

0.040

0.0521

0.002

0.0115

0.51


2.23


3.61


0.67


Initial consumption

0.0020

0.61

0.0076

0.10

-0.0010

0.28


0.51


1.75


-1.11


Pigmeat

Constant

0.0170

0.030

0.0273

0.020

0.0238

0.15


2.27


2.63


1.54


Income dummy

0.0294

0.087

0.0478

0.0478

-0.0115

0.71


1.84


2.17


-0.38


Initial consumption

-0.0024

0.15

-0.0046

0.0478

-0.0006

0.81


-1.58


-2.17


-0.24


Wholemilk

Constant

0.0147

0.025

0.0190

0.066

0.0148

0.07


2.44


1.957


1.88


Income dummy

0.0497

0.004

0.0802

0.003

-0.0048

0.81


3.31


3.30


-0.25


Initial consumption

-0.0004

0.007

-0.0007

0.010

-0.0001

0.52


-3.01


-2.86


-0.65


Eggs

Constant

0.0065

<0.001

0.0283

0.012

0.0087

0.48


4.30


2.80


0.73


Income dummy

0.0206

0.29

0.0418

0.173

-0.0097

0.76


1.09


1.42


-0.31


Initial consumption

-0.0035

0.044

-0.0043

0.11

-0.00002

0.99


-2.16


-1.67


-0.01



When the results for the two sub-periods are examined, it is apparent that the convergence hypothesis is less easy to support in the more recent period 1981 to 1999 than in the earlier period 1961 to 1980. In the earlier period, the expected negative sign was obtained for consumption in the initial year. The p-values were also small, indicating that the coefficients were statistically significant. The one exception to this was poultry meat. In the latest period - 1981 to 1999 - the coefficients on consumption in the initial period (1981) were negative as expected, but they were without exception not statistically different from zero. This suggests that in this latest period convergence was not occurring

A dummy variable was included in the model to test whether there was any difference in the rate of growth in consumption in the four high-income countries (Australia, New Zealand, Japan and the Republic of Korea) and the other countries. For the period 1961 to 1999, the dummy variable had a positive coefficient, indicating that once the effect of the low initial level of consumption is removed, growth in consumption in the high-income countries was greater than in the other countries. The coefficient was not significant for eggs, indicating no significant difference in the growth rates between the two sets of countries. In the period 1961 to 1980, the story was the same - growth in the consumption of livestock products was higher in the high-income countries than in the other countries. Again, it is important to note that this result only holds if the effect on consumption growth of the initial level of consumption is removed. In the more recent period, 1981 to 1999, the results were quite different. The coefficients on the dummy variable were negative except for poultry meat, and they were also not significant. This latter result indicates that there was no statistically significant difference in the rate of growth of consumption of the products between the two groups of countries over this period.

Concluding comments

The material presented in this chapter demonstrates the remarkable growth that has occurred in the consumption of livestock products in the Asia-Pacific region over the last three to four decades. A striking feature is the diversity in consumption displayed across countries. In China, pigmeat is the key livestock product, while in South Asia, it is milk. With the exception of Mongolia, the developing countries are a long way behind the high-income western economies of Australia and New Zealand in the consumption of most meats. It is possible the gap will narrow because of a fall in consumption in the high-income countries and an increase in consumption in the developing countries. For bovine meat, pigmeat, eggs and wholemilk, there is evidence that countries with low per person consumption in 1961 showed more rapid consumption growth in subsequent years than countries where per person consumption was high in 1961. If this result holds for the future, per person consumption of these products across countries will become increasingly similar. However, the cultural, religious and economic differences between the countries are so great that dietary differences are unlikely to ever completely disappear.

The information in this chapter is for the countries in aggregate. There are major differences between consumers of the same country. In China, for example, Cai et al. (1999) have pointed out consumers living in more economically advanced regions have higher beef consumption than consumers living in other parts of the country. They also explain that there are differences within China between various ethnic groups. These differences exist even if the consumers live in the same towns and cities. It is interesting to note that Cai et al. cite a 1998 article in the China Daily that reported meat consumption in Harbin, the capital of Heilongijang province in Northeastern China of 50.2 kg per person per year. A similar point was made for 1996 for Indonesia by Dobashi et al. (1999). They claim that more than 50 percent of Indonesia's broiler meat production was consumed in metro Jakarta. Bouis and Haddad (1990) found from their household surveys in the Philippines that expenditure shares on meat, eggs and fish differed, depending on the socioeconomic status of the farm household. This issue of differences within countries is of importance. It may be that the increases in average consumption of livestock products observed over recent years are severely "distorted" by high-income households in urban areas increasing their consumption by large amounts. These households may well be consuming livestock products at levels not dissimilar to the average levels in the high-income countries. Hence, more disaggregated analysis than that presented here - focussing, for example, on particular income groups within the countries examined - would be insightful.

References

Anon 2002. Campaign to sell merits of eating eggs: consumption set to rise 3.1% this year. Bangkok Post, 25 January.

Bouis, H. E. and L. J. Haddad. 1990. Agricultural Commercialization, Nutrition, and the Rural Poor. Boulder, Lynne Rienner Publishers.

Cai, H., J. W. Longworth and M. D. Barr. 1999. The mass market for beef and beef offal in Eastern China. Department of Primary Industries and Hunt and Hunt Lawyers, Brisbane.

Dobashi, I., J. Fallon, F. C. Eizmendi, M. Loureiro, K. Matchett, R. Parrish and B. Raquet. 1999. The Value Chain for Poultry. Pacific Basin Economic Council Working Committee on Food Products, March.

Grigg, D. 1999. The changing geography of food consumption in the second half of the twentieth century. The Geographical Journal, 65(3).

Hussain, M. 1992. Meat marketing and pricing in Bangladesh. Meat marketing and pricing in Asia and the Pacific region. Bangkok, FAO, 46-50.

Kuntowijoyo.1991. Bergesernya Pola Pangan Pokok di Madura: Sekitar Kesulitan Mempertahankan Konsumen Jagung (The shift of the staple food in Madura: the challenge to maintain corn consumers). Pangan, 2(9): 20-5.

Longworth, J. W., Brown, C. and Waldron, S. 2001. Beef in China: Agribusiness Opportunities and Challenges. Brisbane, University of Queensland Press.

Malisuwan, N. 1997. "Giant" Thai teens now dwarfing mom and dad. The Nation, Page, 3 September

McCalla, A. F. and C. L. Revoredo. 2001. Prospects for Global Security: A Critical Appraisal of Past Projections and Predictions. International Food Policy Research Institute (IFPRI), Washington DC.

Mulyo, J. H. 2000. A comparative study of meat consumption in two household types in Yogyakarta, Indonesia. Department of Economics. University of Queensland, Brisbane.

Paengnoy, A. 2001. Modern diets threatens affluent children's health. The Nation, 1 February.

Simoons, F. J.1978. Traditional use and avoidance of foods of animal origin: a cultural historical view. Bioscience, 28(3): 178-84.

Smil, V. 2000. Feeding the World: a Challenge for the Twenty-First Century. Cambridge, Mass. MIT Press.

Smith, D. and P. Riethmuller. 2000. Consumer attitudes to food security in Japan, the United States and Australia. British Food Journal, 102(11): 837-57.

Stanton, R. 2001. Healthy Cooking. Sydney, Murdoch Books.

van der Zipf, A. J.1999. Animal food production: the perspective of human consumption, production, trade and disease control. Livestock Production Science, 59: 199-206.

World Bank 2001. Livestock Development, the Environment, Poverty and Global Food Security: A strategy paper for the World Bank (Draft). Washington DC.

Appendix 1. - Results from estimating growth equations (equation in box 12 Bovine hides in India)


Bovine meat
Poultry
Pigmeat
Wholemilk
Eggs

Bovine meat

Country


1961-99

1961-80

1981-99

Estimated coefficient and t-statistic

p-value

Estimated coefficient and t-statistic

p-value

Estimated coefficient and t-statistic

p-value

Australia

0.0008


0.0381


-0.0118


New Zealand

-0.0084

0.46

0.0058

0.68

-0.0225

0.23


-0.73


0.43


-1.24


Japan

0.0497

0.002

0.0623

0.033

0.0370

0.004


3.40


2.30


3.25


Korea, Rep. of

0.0699

0.027

0.0600

0.292

0.0799

0.009


2.30


1.09


2.91


China

0.0971

<0.001

0.0578

0.0178

0.1363

<0.001


3.95


1.40


5.02


Mongolia

-0.0084

0.626

-0.0173

0.54

0.0005

0.98


-0.49


-0.63


0.02


Korea, DPR

-0.0167

0.186

0.0030

0.690

-0.0365

0.132


-1.35


0.41


-1.56


India

0.0042

0.14

0.0022

0.33

0.0062

0.25


1.50


1.00


1.19


Bangladesh

-0.0150

0.276

-0.0261

0.31

-0.0039

0.73


-1.11


-1.05


-0.35


Nepal

0.0162

0.002

0.0231

0.001

0.0093

0.24


3.35


4.10


1.21


Pakistan

0.0076

0.15

-0.0012

0.86

0.162

0.058


1.46


-0.18


2.03


Sri Lanka

-0.0182

0.096

-0.0213

0.144

-0.0151

0.37


-1.71


-1.53


-0.92


Brunei Darussalem

0.0209
0.60

0.55

0.0211
0.53

0.60

0.0206
0.36

0.73

Cambodia

0.0143

0.34

-0.0092

0.73

0.0377

0.003


0.97


-0.35


3.38


Indonesia

0.0059

0.53

0.0032

0.77

0.0086

0.59


0.63


0.30


0.55


Laos

0.0262

0.19

0.0073

0.83

0.0408

0.033


1.35


0.22


2.31


Malaysia

0.0226

0.20

0.0023

0.94

0.0429

0.028


1.30


0.08


2.39


Myanmar

-0.0009

0.85

0.0038

0.53

-0.0057

0.53


-0.19


0.64


-0.65


Philippines

0.0147

0.58

0.0081

0.87

0.0213

0.41


0.56


0.17


0.85


Thailand

-0.0161

0.028

-0.0096

0.18

-0.0227

0.083


-2.29


-1.40


-1.84


Viet Nam

0.0051

0.46

nc


0.0101

0.26


0.76




1.17



Note: The estimated coefficient can be multiplied by 100 to provide average growth rates in percentages.

Poultry

Country


1961-99

1961-80

1981-99

Estimated coefficient and t-statistic

p-value

Estimated coefficient and t-statistic

p-value

Estimated coefficient and t-statistic

p-value

Australia

0.0484

<0.001

0.0777

0.001

0.0191

0.10


3.94


3.88


1.72


New Zealand

0.0595

0.003

0.0680

0.039

0.0510

0.029


3.23


2.22


2.38


Japan

0.0621

<0.001

0.1035

<0.001

0.0206

0.004


6.28


7.89


3.32


Korea, Rep. of

0.0738

<0.001

0.0730

0.006

0.0746

0.011


4.25


3.15


2.82


China

0.0598

<0.001

0.0247

0.011

0.0948

<0.001


5.62


2.85


5.96


Mongolia

nc


nc


nc









Korea, DPR

-0.0063

0.696

0.0161

0.076

-0.0288

0.36


-0.39


1.88


-0.94


India

0.0289

0.34

nc


0.0578

0.05


0.97




2.07


Bangladesh

0.0182

0.41

0.0213

0.59

0.0151

0.49


0.82


0.55


0.70


Nepal

0.0107

0.54

nc


0.0213

0.43


0.63




0.81


Pakistan

0.0643

0.005

0.0578

0.05

0.0707

0.046


3.01


2.07


2.14


Sri Lanka

0.0432

0.038

0.0407

0.22

0.0457

0.085


2.16


1.27


1.92


Brunei Darussalem

0.0485
1.74

0.09

0.0833
2.07

0.05

0.0137
0.36

0.72

Cambodia

0.0276

0.09

0.0132

0.54

0.0420

0.097


1.73


0.63


1.75


Indonesia

0.0456

0.028

0.0365

0.179

0.0548

0.09


2.28


1.40


1.78


Laos

0.0013

0.95

-0.0227

0.45

0.0252

0.27


0.069


-0.765


1.13


Malaysia

0.0617

<0.001

0.0558

<0.001

0.0676

<0.001


7.35


5.78


4.87


Myanmar

0.0372

0.033

0.0420

0.04

0.0324

0.27


2.22


2.27


1.14


Philippines

0.0319

0.14

0.0400

0.21

0.0239

0.44


1.51


1.31


0.80


Thailand

0.0378

0.007

0.0403

0.04

0.0354

0.088


2.86


2.21


1.81


Viet Nam

0.0209

0.195

0.0185

0.27

0.0233

0.41


1.32


1.15


0.84


Pigmeat

Country


1961-99

1961-80

1981-99

Estimated coefficient and t-statistic

p-value

Estimated coefficient and t-statistic

p-value

Estimated coefficient and t-statistic

p-value

Australia

0.0165

0.07

0.0191

0.26

0.0140

0.06


1.87






New Zealand

0.0063

0.60

-0.0139

0.42

0.0265

0.11


0.53


-0.82


1.67


Japan

0.0555

0.002

0.0975

0.004

0.0134

0.24


3.29


3.34


1.22


Korea, Rep. of

nc


nc


nc









China

0.0695

<0.001

0.0861

0.019

0.053

<0.001


4.02


2.58


6.33


Mongolia

0.0076

0.91

0.0365

0.51

-0.0213

0.86


0.12


0.68


-0.19


Korea, DPR

0.0098

0.60

0.0435

0.001

-0.0239

0.49


0.54


3.85


-0.71


India

0.0182

0.23

0.0151

0.58

0.0213

0.165


1.21


0.57


1.45


Bangladesh

nc


nc


nc









Nepal

0.0182

0.153

0.0151

0.33

0.0213

0.31


1.46


1.00


1.05


Pakistan

nc


nc


nc









Sri Lanka

nc


nc


nc









Brunei Darussalem

0.0138
0.37

0.71

-0.0046
-0.14

0.89
0.43

0.0321
0.48

0.63

Cambodia

0.0408

0.34

-0.0397


0.1212

0.08


0.96


-0.81


1.85


Indonesia

0.337

0.06

0.0096

0.74

0.0578

0.008


1.94


0.34


2.97


Laos

0.0111

0.55

0.0138

0.67

0.0084

0.67


0.60


0.43


0.44


Malaysia

0.0147

0.28

0.0205

0.37

0.0088

0.58


1.09


0.92


0.57


Myanmar

0.0170

0.29

0.0388

0.086

-0.0048

0.83


1.08


1.81


-0.21


Philippines

0.0158

0.38

0.0079

0.71

0.0237

0.43


0.89


0.38


0.81


Thailand

0.0097

0.71

0.0111

0.78

0.0084

0.81


0.38


0.28


0.24


Viet Nam

0.0226

0.05

-0.0142

0.13

0.0594

0.002


2.05


-1.61


3.59


Wholemilk

Country


1961-99

1961-80

1981-99

Estimated coefficient and t-statistic

p-value

Estimated coefficient and t-statistic

p-value

Estimated coefficient and t-statistic

p-value

Australia

-0.0115

0.272

-0.0144

0.31

-0.0086

0.59


-1.11


-1.04


-0.55


New Zealand

-0.0151

0.63

0.0136

0.74

-0.0438

0.37


-0.48


0.34


-0.91


Japan

0.0254

0.001

0.473

<0.001

0.0037

0.62


3.79


5.11


0.51


Korea, Rep. of

0.1059

0.053

0.1550

0.11

0.0569

0.29


2.00


1.67


1.10


China

0.0354

<0.001

0.0055

0.61

0.0652

<0.001


4.06


0.52


6.52


Mongolia

0.0139

0.32

0.008

0.96

0.0269

0.25


1.01


0.0552


1.18


Korea, DPR

0.0768

<0.001

0.1425

<0.001

0.0110

0.35


4.43


5.71


0.97


Bangladesh

0.0026

0.78

-0.0068

0.65

0.0120

0.27


0.28


-0.46


1.13


India

0.0146

0.077

0.0004

0.98

0.0288

0.004


1.82


0.03


3.31


Nepal

-0.0050

0.19

-0.00512

0.15

-0.0048

0.48


-1.34


-1.50


-0.72


Pakistan

0.01305

0.26

-0.0044

0.025

0.0306

0.19


1.13


-2.44


1.36


Sri Lanka

0.0200

0.44

0.02419

0.485

0.0158

0.70


0.78


0.714


0.40


Brunei Darussalem

0.0294
0.84

0.41

-0.0189
-0.48

0.64

-0.0189
-0.48

0.64

Cambodia

-0.0110

0.60

-0.0269

0.42

0.0048

0.85


-0.54


-0.82


0.19


Indonesia

0.0111

0.42

0.0197

0.25

0.0197

0.25


0.82


1.19


1.19


Laos

0.0053

0.92

0.0897

0.24

0.0897

0.24


0.10


1.22


1.22


Malaysia

-0.0025

0.95

0.0314

0.54

-0.0363

0.48


-0.070


0.63


-0.72


Myanmar

0.0051

0.80

-0.0088

0.79

0.0191

0.45


0.25


-0.27


0.78


Philippines

-0.0107

0.83

-0.0277

0.63

0.0063

0.94


-0.21


-0.49


0.76


Thailand

0.0329

0.33

-0.0380

0.42

0.1037

0.03


0.98


-0.83


2.35


Viet Nam

-0.0182

0.64

-0.0365

0.64

nc



-0.48


-0.48




Eggs

Country


1961-99

1961-80

1981-99

Estimated coefficient and t-statistic

p-value

Estimated coefficient and t-statistic

p-value

Estimated coefficient and t-statistic

p-value

Australia

-0.0163

0.074

0.0005

0.96

-0.0321

0.04


-1.83


-0.05


-2.20


New Zealand

-0.0100

0.32

-0.0051

0.57

-0.0149

0.42


-1.00


-0.58


-0.82


Japan

0.0199

0.01

0.0316

0.03

0.0083

0.06


2.71


2.29


2.05


Korea, Rep. of

0.0500

<0.001

0.0800

<0.001

0.0191

0.06


3.58


3.28


2.01


China

0.0541

<0.001

0.0138

0.01

0.0943

<0.001


4.85


2.87


3.38


Mongolia

-0.0182

0.65

0.0578

0.23

-0.0943

0.132


-0.47


1.26


-1.58


Korea, DPR

0.0085

0.52

0.0079

<0.001

-0.0186

0.44


0.65


4.52


-0.79


India

0.0424

<0.001

0.0446

0.05

0.0401

0.003


3.57


2.12


3.48


Bangladesh

0.0342

0.12

0.0365

0.27

0.0319

0.28


1.62


1.14


1.12


Nepal

0.0059

0.65

0.0062

0.55

0.0056

0.82


0.46


0.61


0.23


Pakistan

0.0788

0.002

0.121

0.01

0.0365

0.05


3.37


2.90


2.09


Sri Lanka

0.0258

0.26

0.0393

0.37

0.0123

0.38


1.16


0.92


0.91


Brunei Darussalem

0.0306
1.20

0.24

0.0666
2.93

0.009

-0.0053
-0.12

0.91

Cambodia

0.0119

0.29

0.0238

0.20

nc



1.08


1.33




Indonesia

0.0424

0.039

0.0659

0.03

0.0188

0.52


2.14


2.43


0.66


Laos

0.0405

0.12

0.0684

0.16

0.0127

0.51


1.61


1.47


0.67


Malaysia

0.0481

<0.001

0.0759

<0.001

0.0204

0.09


5.02


5.97


1.79


Myanmar

0.0223

0.21

0.0213

0.32

0.0233

0.42


1.28


1.02


0.82


Philippines

0.0293

0.07

0.0375

0.18

0.0210

0.22


1.88


1.40


1.28


Thailand

0.0011

0.92

-0.0129

0.13

0.0151

0.49


0.10


-1.58


0.71


Viet Nam

0.0076

0.53

-0.0269

0.09

0.0420

0.013


0.63


-1.79


2.74



[1] This latter restriction would have almost no effect on food consumption in Thailand. When a birthday is being celebrated, the person who is celebrating the birthday often will release fish into the klong near to the temple. Obviously if someone else were to catch these fish, this would not be the socially acceptable thing to do.
[2] McCalla and Revoredo (2001) point out that the estimates made by FAO of food requirements in the early post-war period made what McCalla and Revoredo (2001) regard as the incorrect assumption that food requirements were the same for all people. This led, in their opinion, to a gloomy assessment of the percentage of the world's population that was undernourished.
[3] An F-test carried out to test the null hypothesis of equality of variances for the percentage share of bovine meat in 1961 and 1999. The null hypothesis could not be rejected, suggesting that there has been no change in variability.
[4] Other correlations were as follows: between 1961 and 1970, 0.95; between 1961 and 1975, 0.87; between 1961 and 1990, 0.80 and between 1961 and 1995, 0.74. The correlations were calculated using data for the 19 countries shown in Table 1.2.
[5] Menasveta (2000) makes the same comment about fish in South-east Asia.
[6] The F value calculated to test the null hypothesis that the variance was the same in 1961 as in 1999 was 0.29, clearly not in the rejection region for the null hypothesis.
[7] For example, the correlation between poultry's percentage share of protein from livestock in 1961 and percentage share in 1965 was 0.94 and between 1961 and 1999 it was 0.48.
[8] The term "milk" used in this chapter covers drinking milk and products made from milk.
[9] This was tested using an F test. The null hypothesis was that the variances in 1961 and 1999 were not different. The calculated value for F was 1.11 while the critical value was at the 5 percent level of significance was 2.21.
[10] The correlation between 1961 contribution and 1999 contribution was 0.92, while the correlation between 1961 and 1965 contributions was 0.98.

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