Efficiency and total factor productivity in Ukrainian agriculture in transition

This article analyzes efficiency and total factor productivity (TFP) change of large agricultural enterprises during their transition to a market economy in Ukraine. Efficiency is calculated by Data Envelopment Analysis and productivity change is measured by the Malmquist Productivity Change Index in the period between 1990 and 1999. On average, TFP declined by 6% annually, dropping a total 42%. The main reason for the observed TFP decline is a decrease in technical efficiency, which is found to be remarkably significant. At the same time there is a high variation among individual enterprises: the distribution of efficiency scores widens, which indicates that the farms diverge with respect to their economic performance. A Tobit regression analysis is conducted in which efficiency scores are related to factors such as farm type, farm size, initial conditions, and legal form.     

The economic role of Russia's subsistence agriculture in the transition process

In this article, we analyze the role of subsistence‐oriented agriculture in Russia in the 1990s. We start out by discussing the diverging economic effects of the growth of subsistence agriculture in Russia since the transition process started. The quantitative analysis of this sector's role is carried out by means of an applied computable general equilibrium (CGE) model applying a 1994 social accounting matrix (SAM) as base year data. The novelty of the article is to disaggregate primary agricultural production not by products but by farm types, which enables us to distinguish their institutional and economic characteristics. The model also explicitly differentiates between marketed and subsistence consumption or formal and informal marketing activities of agricultural producers. We simulate two ex post and two ex ante experiments. The results of the first backward‐looking experiment highlight that Russia's subsistence agriculture was an important buffer against further agricultural output declines during transition and, hence, against food insecurity. A simulation, which looks into the effects of a devaluation of the Russian ruble, shows that the financial crisis should have increased the relative competitiveness particularly of large‐scale crop farms versus small‐scale farms. Two forward‐looking experiments indicate that efficiency enhancing institutional change would benefit both large‐scale and small‐scale farms. However, within small‐scale agriculture, a shift from subsistence to commercial agriculture would take place.     

Capital market imperfections in economic transition: empirical evidence from Ukrainian agriculture

This article investigates the link between financing and investment in Ukrainian agriculture during economic transition. The main contribution of the study is to provide empirical evidence for the coexistence of financial constraints and soft budget constraints (SBCs). This is of particular importance because credit constraints and SBCs have completely different economic effects. The lack of differentiation between these forms of capital market imperfections yields overlapping effects of financing on investment and may therefore cause a misinterpretation of econometric results. Our empirical analyses are based on an econometric estimation of the Euler investment equations for 529 large farms from three Ukrainian regions between 2001 and 2005. The results confirm that financial variables significantly influence farms' investment, providing empirical evidence of an imperfect capital market in Ukrainian agriculture. It turns out that credit constraints in the Ukrainian agricultural sector are more important than SBCs. We show that the estimated level of financial constraints for profitable farms with access to loans is higher if both types of capital market imperfections are appropriately distinguished.     

Erosion mitigation in the Waikato District,New Zealand: economic implications for agriculture

Soil erosion, in its various forms, is caused or aggravated by agricultural activities. Mitigation of surface erosion comprises the construction of shelterbelts, fencing, riparian buffering, and stock reduction. Mitigation of mass‐movement erosion, in turn, takes the form of spaced planting of trees to maintain a persistent, healthy, and complete ground cover. In this article, we assess the economic implications to agriculture of the adoption of mitigation alternatives for erosion control in the Waikato District, New Zealand. The Waikato District presents a spatial pattern of erosion that affects profitability of dairy, and sheep and beef enterprises. We use the Universal Soil Loss Equation and the New Zealand Empirical Erosion Model to estimate erosion figures that are then fed into an economic‐focused, nonlinear, partial equilibrium mathematical programming model of New Zealand land use. Different scenarios are constructed for surface and mass‐movement soil erosion targets ranging from 0% to 50% below baseline levels. We find that achieving surface erosion targets is more expensive than mass‐movement targets, and results in different responses in regional‐level costs, land use, enterprise net revenue, and adoption of mitigation alternatives.     

Supply and demand estimates for feed grains in China

In the past two decades, the use of grain to feed livestock in China has increased rapidly. A number of studies have examined demand and supply of grain for animal feed in China. Forecasts have been made. Generally, these projections have turned out to be well wide of the actual supply and demand. Further, forecasts of supply and demand for feed grains for the same time periods have differed greatly. Accurate forecasts of variables affecting supply and demand benefit both producers and consumers. Past forecasts of supply and demand of feed grain for livestock production in China are reviewed and reasons for discrepancies between projections are explored. Ways to improve projections of demand for and supply of grain for livestock feed in China are identified.     

Does individualization help productivity of transition agriculture?

There are large differences across transition countries with respect to agricultural‐sector performance and corresponding scope of farm restructuring and shift to individual farming. In this article we analyze the impact of individualization on productivity growth within an augmented neoclassical growth model framework. This approach allows us to circumvent criticisms on the grounds of lack of theoretical and objective criteria for inclusion of explanatory variables. Furthermore, in the empirical analysis using a panel data covering 15 transition countries over the period 1990–2001 and applying a generalized method of moments with instrumental variable estimator we are able to control for the impact of various factors and the potential endogeneity of variables. Our estimation results are robust and support the view that the shift to individual farming, as well as the overall economic reforms, has positively contributed to the productivity growth in agriculture during the first decade of transition.     

China's agriculture: drivers of change and implications for China and the rest of world

The overall goal of this article is to identify major changes in China's agriculture/food economy and their implications for both China itself and, more importantly, to the rest of world. China has become one of the fastest‐growing economies in the world since late 1970s. GDP grew at about 10% annually in the past 30 years. China's experience shows the importance of both domestic and external policies in achieving sustainable growth. The results from this study provide significant policy implications to many countries that are currently China's major trade partners or those seeking greater economic and trade relations with China. The main conclusions on the implications of China's rapid economic growth are that China's growth will provide more opportunities than challenges to the rest of the world, on average. Overall, the rest of the world will gain from China's economic expansion though this general conclusion may not hold for some countries.     

Spillovers from high-value agriculture for exports on land use in developing countries: evidence from Madagascar

High-value agriculture for exports is increasingly important in developing countries. In a case study of contract farming for exports of vegetables from Madagascar, strong spillover effects of these trade opportunities on land use are found to exist. Using a matched plot sampling design, the productivity of rice—the main domestically consumed staple—is shown to be two-thirds higher on fields that were contracted during the off-season for the production of vegetables. This increase in yields is linked to an increase of soil fertility due to the application of fertilizer and compost, which farmers did not use prior to the contracts. Although agricultural output goes up significantly, labor productivity stays the same, suggesting that there is greater labor absorption on existing land and the diffusion of this type of technology at a larger scale throughout Madagascar would be expected to substantially decrease incentives to deforest by increasing wages and to boost productivity of existing lands relative to newly deforested ones.     

Empirical measurement of credit rationing in agriculture: a methodological survey

Empirical analysis of rural credit market failure has been of key scientific and political interest in recent years. The aim of this article is to give an overview of the various methods for measuring credit rationing that are employed in the literature. Furthermore, the methods are subjected to a comparative evaluation of their specific strengths or shortcomings. Six approaches are distinguished: measurement of loan transaction costs, analysis of qualitative information collected in interviews, analysis of quantitative information collected in interviews using the credit limit concept, analysis of spill‐over effects with regard to secondary credit sources, econometric household modeling, and the econometric analysis of dynamic investment decisions. An explicit comparison with a first‐best solution is impossible in the first three approaches, since they essentially rely on a subjective assessment of borrowers' access to credit, based on qualitative or quantitative indicators. The fifth and sixth approaches allow a rigorous interpretation in the framework of neoclassical equilibrium theory. The fourth approach takes an intermediate position, since spill‐over on segmented loan markets reveals a willingness to pay with regard to the supposedly less expensive but rationed primary source. The approaches are fairly data demanding in general, usually requiring specific data on loan transactions. Even so, most approaches are applicable to cross‐sectional household data. With the exception of the first, all methods surveyed might plausibly be used to empirically detect credit rationing.     

Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture

Stated choice models based on the random utility framework are becoming increasingly popular in the applied economics literature. The need to account for respondents' preference heterogeneity in such models has motivated researchers in agricultural, environmental, health, and transport economics to apply random parameter logit and latent class models. In most of the published literature these models incorporate heterogeneity in preferences through the systematic component of utility. An alternative approach is to investigate heterogeneity through the random component of utility, and covariance heterogeneity models are one means of doing this. In this article we compare these alternative ways of incorporating preference heterogeneity in stated choice models and evaluate the sensitivity of estimated welfare measures to which approach is selected. We find that a latent class approach fits our data best, but all the models perform well in terms of out-of-sample predictions. Finally, we discuss what criteria a researcher can use to decide which approach is most appropriate for a given data set.     

Rural nonfarm income and its impact on agriculture: evidence from Albania

Using data from the 2005 Albania Living Standards Measurement Study (ALSMS05) survey, this article analyzes the overall impact of household nonfarm income-generating activities (RIGA) on agricultural expenditures as well as technical efficiency of rural farm households. We also differentiate the impact for subsistence and commercial farmers, who are in the top 25% of the distribution of value of annual agricultural sales. Our results show that on the whole, Albanian rural households utilize their nonfarm earnings not to invest in time-saving, efficiency-increasing technologies, but to move out of crop production. We derive similar findings when we try to estimate the same relation separately for commercial and subsistence farmers. However, for commercial farmers, we find a positive impact of household nonfarm earnings on livestock expenditures.     

An examination of economic efficiency of Russian crop production in the reform period

This article examines economic efficiency (EE) of crop production of Russian corporate farms for 1993–1998. EE declined over the period, due to declines in both technical and allocative efficiency. Technical efficiency (TE) results indicate that output levels could have been maintained while reducing overall input use by an average of 29–31% in 1998, depending on the method used, while the allocative efficiency (AE) results show that costs could have been reduced about 30%. The EE scores show that Russian corporate farms could have increased efficiency by reducing the use of all inputs, particularly fertilizer and fuel. Russian agriculture inherited machinery‐intensive technology from the Soviet era, which may be inappropriate given the relative abundance of labor in the post‐reform environment. Investment constraints have prevented the replacement of old machinery‐intensive technology with smaller scale machines that allow for a more labor‐using technology.     

Stages and determinants of fertilizer use in semiarid African agriculture: the Niger experience

Fertilization is a stepwise decision in Niger. Survey data from a representative sample of 100 households were utilized with individual and joint estimation to evaluate the determinants of fertilizer use at its three different stages: manure alone and two different types of inorganic fertilizer application. The fertilizer price relative to the millet price was always a highly significant determinant of fertilizer adoption. Farmers' experience in seeing the results of fertilization in the field was a principal factor influencing the use of manure and of the micro‐fertilization. Other studies in semiarid regions have emphasized risk, liquidity, or fertilizer responsiveness under harsh conditions but the shift to the micro doses of inorganic fertilizer was statistically associated here with the demonstration trials and the price ratios (fertilizer/millet). A variable reflecting the millet price recovery approximately 6 months after harvest was the most important factor in the decision to raise further inorganic fertilizer use with side dressing. Policy implications were focused on the importance of demonstration trials and improvements in the economic conditions (millet–fertilizer price ratios).     

Price dynamics in the Bangladesh rice market: implications for public intervention

In this paper, the price dynamics of a rice market are examined using dynamic programming techniques. The model is parameterised to the case of Bangladesh and thus represents the situation of a very poor country which has characteristically high price elasticity (due to income effects) and high storage and interest costs. The incentives for private sector storage and its impact on price stability are examined. Various options for public intervention in the storage sector are also explored, including price ceiling schemes and subsidisation of storage costs. Results show that interventions that remove private disincentives (such as storage subsidies) are much cheaper than direct intervention by government, but the impact on the probability distribution of prices is quite different. The effect of trade on the probability distribution of prices is also examined.     

Public infrastructure and productivity growth in Greek agriculture

Recent research has focused on the effect of public infrastructure on economic performance. In this paper, a model of Greek agriculture's technology and behaviour is constructed based on the dual cost function framework. The model provides a decomposition of productivity growth into the components technical change, returns to scale, and public infrastructure. The empirical estimates indicate that public infrastructure investment provides a significant return to agriculture and augments productivity growth. Over the period 1960–1995, the impact of public infrastructure on productivity growth in livestock and crop production is found to be positive, although it has been declining since the late 1970s. These results strongly suggest that a decline in public infrastructure investment can partly explain the observed decline in the productivity growth of Greek agriculture in the 1980s.     

Recent weather fluctuations and agricultural yields: implications for climate change

We summarize recent statistical analyses that link agricultural yields to weather fluctuations. Similar to other sectors, high temperatures play a crucial role in predicting outcomes. Climate change is predicted to significantly increase high temperatures and thereby reduce yields. How good are such models at predicting future outcomes? We show that a statistical model estimated using historic US data on corn and soybean yields from 1950 to 2011 is very capable of predicting aggregate US yields for the years 2012–2015, where 2012 was much hotter than normal and is expected to become the new normal under climate change. We conclude by discussing recent studies on the implication of predicted yield declines with a special focus on adaptation and commodity prices.     

The impact of marketing systems on soil sustainability of agriculture in developing countries: a method and an application

This article is concerned with soil‐sustainability problems of agriculture in developing countries, in particular with soil erosion. The aim of our study is to develop a comprehensive model that explains the adoption of sustainable agricultural practices with respect to soil conservation. Our approach includes the following special features: (a) the model is comprehensive in that it includes a large number of institutional, personal–social, economic, and physical explanatory variables; (b) particular attention is paid to the influence of marketing systems on the adoption of sustainable agricultural practices, which to our knowledge has been neglected in past research; (c) the concept of adopting sustainable agricultural practices (ASAP) is differentiated into a limited number of basic components of soil conservation; and (d) the model is estimated by Principal Component Regression, which enhances efficient estimation of the impact of many explanatory variables on ASAP. Our model is applied to Cabuyal hillside farming in Colombia. The application demonstrates the usefulness of the proposed model. ASAP is differentiated into three basic components: soil‐disturbance control, soil‐protection practices, and run‐off control. It appears that soil‐disturbance control is particularly influenced by farmers' characteristics, such as education and managerial variables. The second component, soil‐protection practices, appears to be strongly influenced not only by farmers' managerial variables but also by their relationship with their environment, in particular marketing institutions. The third soil‐conservation component, run‐off control, is influenced by the physical characteristics of the plot and by the available farm labor. Our empirical results demonstrate the usefulness of the proposed model in designing agricultural policies, because it can determine which variables are more likely to influence the adoption of a specific type of soil conservation.     

Options for African agriculture in an era of high food and energy prices

In a world of high food and energy prices, Africa has an imperative to do a better job feeding itself and ensuring that its people are food secure. At the same time, there is a new business opportunity to work with the private sector in developing the continent's potential to produce significantly more food, raw materials, and biofuels for regional and world markets. A challenge for African policy makers is to find the right balance between a food security and a business agenda, and to ensure that the business agenda engages with large numbers of small farms. Agricultural development requires many things, but the fundamentals for Africa are developing markets, increasing agricultural productivity, and managing volatility. This cannot happen at sufficient scale and speed without strong public sector leadership, enabling policies and investments, and well‐focused implementation strategies.