The purpose of this study is to analyze the economic effects of land reform policies in Tajikistan on the country’s agricultural sector and rural households. There is a conspicuous lack of evidence-based policy dialogue with the government on the effectiveness of land and agricultural policies in Tajikistan. Though the majority of rural inhabitants live in poverty and many are food insecure, a scientifically proper evaluation of the effects of land and farm policy reforms has yet to be done. The present study is an attempt to fill this void by offering a description of land reform and an analysis of its economic consequences in Tajikistan.
This paper analyses food security status in planned and unplanned settlements using Dodoma municipality in Tanzania as case study. Data for the study were collected from a total of 97 households through interviews using structured questionnaire. Both purposive and simple random sampling procedures were used as criteria for sample selection. Ordinary Least Regression Model was used to ascertain social and economic factors significantly influencing food security among households living in planned and unplanned settlements. Estimation was carried out using LIMDEP soft ware. The findings of the study revealed that households living in unplanned settlement are food insecure compared to their counterparts living in planned settlements. The authors concludes that this were partly due to the fact that food availability, food accessibility and nutritional aspects were relatively better in planned settlement than their counterparts in unplanned settlement; and that the situation was partly due to low purchasing power, lack of employment and lack of credits. They finally recommend that there should be improvement of purchasing power; provision of credits; provision of food assistance to vulnerable households; and promotion of diversification of economic activities.
By C. Peter Timmer, FAO, 1997. The main premise of this essay is that an early escape from hunger is not primarily the result of private decisions in response to free-market forces. Improved food security stems directly from a set of government policies that integrate the food economy into a development strategy that seeks rapid economic growth with improved income distribution. With such policies, countries in East and Southeast Asia offer evidence that poor countries can escape from hunger in two decades or less, that is, in the space of a single generation.
By Glantz, Betsill and Crandall, Environmental and Societal Impacts Group (ESIG). Information about El Niño-Southern Oscillation (ENSO) events potentially has much to offer in alleviating the impact of drought and improving food security in drought-prone countries. Advanced warning of ENSO and "teleconnected" drought could allow for flexible agricultural production practices, strategic management of grain and water reserves, minimal budgetary impacts, and effective management of donor relief. This study reviews the actual as well as potential use of ENSO information during the 1991-92 drought in Southern Africa. Using the case-scenario method, this study assesses the use of ENSO information during the drought situation and then considers how the national, regional and international responses to the drought might have been different had ENSO information been widely available to decision makers in March 1991. A set of possible responses is identified based on information obtained from open-ended questionnaires and interviews that, in theory, could have been taken with earlier information. Political, social, and economic constraints to the actual use of this information are also identified, which enables us to distinguish between the theoretical and actual value of ENSO information in this particular drought situation. In the final chapter, we note that many lessons were learned from the 1991/92 drought in Southern Africa which have enhanced the potential utility of ENSO information for food security in the region. Nevertheless, potential users still face obstacles in their ability to use ENSO information in decision making. These include questions about the reliability of forecasts, delays in the timing of forecasts, a lack of understanding of what the forecasts mean, as well as concerns about the utility of regional-scale forecasts for local level decision making.