Sending Farmers Back to School: The Impact of Farmer Field Schools in Indonesia

This paper evaluates the impact of farmer field schools, an intensive participatory training program emphasizing integrated pest management. The evaluation focuses on whether program participation has improved yields and reduced pesticide use among graduates and their neighbors who may have gained knowledge from graduates through informal communications. The study utilizes panel data covering 1991–99 in Indonesia. The analysis, employing a modified "difference-in-differences" model, indicates that the program did not have significant impacts on the performance of graduates and their neighbors. Several plausible explanations for this outcome are discussed, and recommendations for improvements are suggested.     

Sense and sustainability revisited: the limits of total factor productivity measures of sustainable agricultural systems

Many economists have advocated and applied total social factor productivity (TSFP) (i.e., total factor productivity estimated with both market and non‐market inputs and externalities, and with all factors valued at social prices) as a single all‐embracing measure of agricultural sustainability. This paper reviews the conceptual and practical issues in measuring TSFP and shows that no one measure alone will be theoretically or empirically robust as an indicator of sustainability. TSFP is a conceptually flawed measure since inclusion of non‐market inputs and outputs and social price‐based valuation, in most cases, violates the theoretical basis underlying those estimates. Trends in TSFP also have limited value in diagnosing the nature of sustainability problems, unless changes in productivity are related to underlying changes in technology, human and physical infrastructure, and indicators of resource quality. More attention needs to be given to defining key indicators of agro‐ecosystem health and relating these measures to trends in productivity. This analysis must be sufficiently disaggregated and for a long enough time period to allow for spatial and temporal variability inherent in agricultural production. Secondary data at the district level on both conventional inputs and outputs and resource quality have recently allowed more quantitative estimates of sustainability and its causes. With limited data, yield growth decomposition analysis can often be used to provide valuable insights into sustainability problems. Meanwhile, there is a need to invest in long‐term experimental and panel surveys of farmers and their fields for key production systems in order to provide long‐term data that will allow full productivity accounting, using more formal statistical procedures. Regardless of the approach selected, the findings of this paper strongly suggest a need for economists, agronomists and soil scientists to collaborate in integrating approaches in order to provide more robust and informative measures of sustainability.     

The ‘alien invasion’ in South Africa: Illegal immigrants in Durban

Although South Africa's emerging non‐racial democracy has been internationally acclaimed, global integration has also brought its problems. One of these is the greater number of illegal immigrants entering the country. This article examines the problem of illegal immigration by focusing on an intensive case study in the locality of Durban. It attempts to identify reasons for illegal immigrants coming to South Africa, ascertain their country of origin, investigate the consequences of their stay in the Republic, identify problems associated with immigrants, and assess policy options to reduce the influx of aliens. The study reveals that the majority of illegal immigrants come to South Africa in search of better economic opportunities. However, they are accused of taking away the jobs of locals, lowering wages and spreading diseases. Although official government policy towards illegals is embodied in the Aliens Control Act (1991), there is a need to understand the problem within its regional and historical context.     

Nonfarm diversification,poverty, economic mobility,and income inequality: a case study in village India

This article assembles data at the all‐India level and for the village of Palanpur, Uttar Pradesh, to document the growing importance, and influence, of the nonfarm sector in the rural economy between the early 1980s and late 2000s. The suggestion from the combined National Sample Survey and Palanpur data is of a slow process of nonfarm diversification, whose distributional incidence, on the margin, is increasingly pro‐poor. The village‐level analysis documents that the nonfarm sector is not only increasing incomes and reducing poverty, but appears as well to be breaking down long‐standing barriers to mobility among the poorest segments of rural society. Efforts by the government of India to accelerate the process of diversification could thus yield significant returns in terms of declining poverty and increased income mobility. The evidence from Palanpur also shows, however, that at the village‐level a significant increase in income inequality has accompanied diversification away from the farm. A growing literature argues that such a rise in inequality could affect the fabric of village society, the way in which village institutions function and evolve, and the scope for collective action at the village level. Failure to keep such inequalities in check could thus undermine the pro‐poor impacts from the process of structural transformation currently underway in rural India.     

Poverty decline, agricultural wages, and nonfarm employment in rural India: 1983–2004

We analyze five rounds of National Sample Survey data covering 1983, 1987/1988, 1993/1994, 1999/2000, and 2004/2005 to explore the relationship between rural diversification and poverty. Poverty in rural India has declined at a modest rate during this time period. We provide region-level estimates that illustrate considerable geographic heterogeneity in this progress. Poverty estimates correlate well with region-level NSS data on changes in agricultural wage rates. Agricultural labor remains the preserve of the uneducated and also to a large extent of the scheduled castes and scheduled tribes. We show that while agricultural labor grew as a share of total economic activity over the first four rounds, it had fallen back to the levels observed at the beginning of our survey period by 2004. This all-India trajectory also masks widely varying trends across states. During this period, the rural nonfarm sector has grown modestly, mainly between the last two survey rounds. Regular nonfarm employment remains largely associated with education levels and social status that are rare among the poor. However, casual labor and self-employment in the nonfarm sector reveals greater involvement by disadvantaged groups in 2004 than in the preceding rounds. The implication of this for poverty is not immediately clear—the poor may be pushed into low-return casual nonfarm activities due to lack of opportunities in the agricultural sector rather than being pulled by high returns offered by the nonfarm sector. Econometric estimates reveal that expansion of the nonfarm sector is associated with falling poverty via two routes: a direct impact on poverty that is likely due to a pro-poor marginal incidence of nonfarm employment expansion; and an indirect impact attributable to the positive effect of nonfarm employment growth on agricultural wages. The analysis also confirms the important contribution to rural poverty reduction from agricultural productivity, availability of land, and consumption levels in proximate urban areas.     

Productivity Growth and Sustainability in Post-Green Revolution Agriculture: The Case of the Indian and Pakistan Punjabs

This article attempts to determine the long-term productivityand sustainability of irrigated agriculture in the Indian andPakistan Punjabs by measuring trends in total factor productivityfor production systems in both states since the advent of theGreen Revolution. These measurements over time and across systemshave resulted in three major findings. First, there were widespatial and temporal variations between the two Punjabs. Althoughoutput growth and crop yields were much higher in the IndianPunjab, productivity growth was higher by only a small margin.Moreover, the lowest growth in productivity took place duringthe initial Green Revolution period (as opposed to the laterintensification and post–Green Revolution periods) andin the wheat-rice system in both states. The time lag betweenadoption of Green Revolution technologies and realization ofproductivity gains is related to learning-induced efficiencygains, better utilization of capital investments over time,and problems with the standard methods of productivity measurementthat downwardly bias estimates, particularly during the GreenRevolution period. Second, input growth accounted for most ofthe output growth in both Punjabs during the period under study.Third, intensification, especially in the wheat-rice system,resulted in resource degradation in both Punjabs. Data fromPakistan show that resource degradation reduced overall productivitygrowth from technical change and from education and infrastructureinvestment by one-third. These findings imply the need for policiesthat promote agricultural productivity and sustainability throughpublic investments in education, roads, and research and extension;and that reduce resource degradation by decreasing or eliminatingsubsidies that encourage intensification of inputs.      

Economic and Welfare Impacts of Climate Change on Developing Countries

The impact of global climate change on developing countries is analyzed using CGE-multimarket models for three archetype economies representing the poor cereal importing nations of Africa, Asia, and Latin America. The objective is to compare the effects of climate change on the macroeconomic performance, sectoral resource allocation, and household welfare across continents. Simulations help identify those underlying structural features of economies which are the primary determinants of differential impacts; these are suggestive of policy instruments to countervail undesirable effects. Results show that all these countries will potentially suffer income and production losses. However, Africa, with its low substitution possibilities between imported and domestic foods, fares worst in terms of income losses and the drop in consumption of low income households. Countervailing policies to mitigate negative effects should focus on integration in the international market and the production of food crops in Africa, and on the production of export crops in Latin America and Asia.     

The Acquisition and Diffusion of Knowledge: The Case of Pest Management Training in Farmer Field Schools,Indonesia

Farmer Field Schools (FFS) are an intensive training approach introduced in the last decade in many developing countries to promote knowledge and uptake of ecologically sensible production approaches, and in particular, integrated pest management which minimises pesticide use. Because of the high training cost, the viability of the program depends crucially on the effectiveness of knowledge diffusion from trained farmers to other farmers. This paper uses panel data from Indonesia to assess the extent of diffusion of knowledge regarding integrated pest management from trained farmers to other farmers. The results confirm that better knowledge leads indeed to reduced pesticide use, and that trained farmers make a modest gain in knowledge. However, there is no significant diffusion of knowledge to other farmers who reside in the same villages as the trained farmers. These results imply that revision in the training procedures and curriculum need to be considered if the FFS approach is to become viable and effective.