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.     

The impact of farm credit in Pakistan

Both informal and formal loans matter in agriculture. However, formal lenders provide many more production loans than informal lenders, often at a cost (mostly loan default cost) higher than what they can recover. For example, the Agricultural Development Bank of Pakistan (ADBP), providing about 90% of formal loans in rural areas, incurs high loan default costs. Yet, like other governments, the Government of Pakistan supports the formal scheme on the grounds that lending to agriculture is a high risk activity because of covariate risk. Hence, such policies are often based on a market failure argument. As farm credit schemes are subsidised, policy makers must know if these schemes are worth supporting. Using a recent large household survey data from rural Pakistan (Rural Financial Market Studies or RFMS), we have attempted to estimate the effectiveness of the ADBP as a credit delivery institution. A two‐stage method that takes the endogeneity of borrowing into account is used to estimate credit impact. Results reveal that ADBP contributes to household welfare and that its impact is higher for smallholders than for large holders. Nevertheless, large holders receive the bulk of ADBP finance. The ADBP is, thus, not a cost‐effective institution in delivering rural finance. Its cost‐effectiveness can be improved by reducing its loan default cost and partially by targeting smallholders in agriculture where credit yields better results.     

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).     

The effect of nonfarm income on investment in Bulgarian family farming

This article documents a relationship between nonfarm income (primarily earnings and pensions) and agricultural investment in Bulgaria, specifically, expenditures on working capital (variable inputs such as feed, seed, and herbicides) and investment in livestock. Among those with positive spending on farm inputs, the estimated elasticity of these expenditures with respect to nonfarm income is 0.14. Nonfarm income also has an effect on the number of households that purchase farm animals, with an estimated elasticity of 0.35. The use of nonfarm income for farm investment is consistent with the presence of credit constraints, as is the fact that less than one percent of farmers report outstanding debts for agricultural purposes. Yet many farm households take out large unsecured loans for other purposes, primarily to cover consumption expenditures, implying that credit is available, but that farmers prefer not to use borrowed funds to finance agricultural investment. This would suggest that increases in the availability of agricultural credit may have little effect on farm outcomes, whereas increases in nondebt-financed sources of liquidity, such as subsidies or transfers, may better stimulate investment.     

The role of agricultural entrepreneurship in Dutch agriculture of today

It is thought that agricultural entrepreneurs have an important role to play in Dutch agriculture. They are currently being confronted with drastic changes and it is open to question whether or not they are willing and able to deal with such changes. A telephone survey was carried out in order to find an answer to this question. The data presented here are based on the answers from 752 farmers. The questions to be answered were: (1) Which strategies do agricultural entrepreneurs choose to keep up with business demands? (2) Which personal characteristics are related to these choices and to successful agricultural entrepreneurship in general? (3) Do agricultural entrepreneurs in the Netherlands meet the demands of “real” entrepreneurship according to economic theories? Agricultural entrepreneurship was conceptualized into the strategic orientations, social orientation, growth orientation, and financial conservatism. The data showed that five different types of farmers could be distinguished on the basis of their preferences for different strategic orientations. Social farmers had especially high scores for social orientation, traditional growers for growth orientation, prudent farmers for financial conservatism, new growers for both social orientation and growth orientation, and indecisive farmers for all strategic orientations. The latter group was eliminated from the data because farmers in this group had the highest scores for almost all items of the questionnaire, whether or not these concerned positive or negative aspects of entrepreneurship. Moreover, they gave contradictory answers to comparable questions. Based on future expectations and family income, it was concluded that social farmers and new growers were more successful than other farmers. According to economic theories, they also seemed to meet the “demands” of “real” entrepreneurship better than other farmers because they can be called “movers of the market,”“innovators,” and/or “discoverers of profit opportunities.” New growers and social farmers were also distinguishable from the other groups of farmers by their personal characteristics. In general, it could be concluded that positive personal characteristics (self‐criticism, leadership, creativity, perseverance, and initiative) affected agricultural entrepreneurship positively, and negative personal characteristics (love of ease and passivity) affected it negatively.     

Economic efficiency in farm households: trends, explanatory factors, and estimation methods

Factors explaining differences in economic efficiency between farms are of major interest to owners, managers, and other stakeholders as they strive to improve earnings and improve the chances of firm survival. This study is undertaken to improve our understanding of interfarm differences in, and opportunities to improve, farm household efficiency in utilizing their land, labor, and capital resources to achieve household objectives. The technical, allocative, and scale efficiencies of farm households are estimated using a nonparametric, output-based data envelopment analysis (DEA) of a panel data set from 1993 to 2006. Single and double bootstrapping procedures are used to estimate technical efficiency. Initial technical efficiency assuming variable returns to scale (TEV) is estimated to be 0.83. Using single bootstrapping, the average bias-corrected TEV estimate is 0.70; using double bootstrapping, the TEV estimate is 0.72. Allocative efficiency is estimated to be 0.81. Scale efficiency is estimated to be 0.93. The only factor that is consistently associated with higher technical efficiency across analysis methods and years is larger farm size (as measured by the log of farm income). The significance of other factors changes with analysis methods.     

CAP MTR versus environmentally targeted agricultural policy in marginal arable areas: impact analysis combining simulation and survey data

On June 2003 the final version of the Common Agricultural Policy Mid‐Term Review (CAP MTR) was published. The driving forces of this policy change include inter alia the compliance with World Trade Organization (WTO) negotiations' requirements, improvement of social support for agricultural policy, adjustment to budget constraints and adaptation of agricultural practices to environmental requirements. This article reviews how this policy performs in marginal areas regarding one of those objectives: the provision of environmental outputs related to agricultural activity. As an alternative to this reform, a policy based on agri‐environmental measures designed to maximize environmental outputs, is proposed. Both options are evaluated from a cost‐effectiveness point of view. Data from a farm survey and a positive mathematical programming model for a cereal steppes agro‐system in Spain are combined in order to simulate the effects of this reform and our alternative instrument on several environmental indicators. Results show that in marginal areas, where land abandonment is a clear threat, more environmental output can be achieved for the same cost, while maintaining, if not increasing, the levels of achievement for the other goals.     

Productivity,credit, risk,and the demand for weather index insurance in smallholder agriculture in Ethiopia

The article explores the relationship between fertilizer use and the demand for weather index insurance (WII) among smallholder farmers in Ethiopia. We examine whether fertilizer use is profitable under current smallholder production conditions, whether risk‐related factors affect fertilizer use, and we estimate the returns to inputs in the agricultural production function in the absence of insurance. We then study how these primitives of agricultural production functions relate to insurance demand. The study compares a survey‐based estimate of willingness to pay with actual uptake for the weather insurance, finding the stated and actual demand to be almost completely uncorrelated. While those with high marginal returns to inputs say they would purchase insurance, only those with low marginal returns actually do, consistent with the stated purpose of the product as input insurance. Insurance demand proves to be highly responsive to the existence and amount of randomly allocated insurance vouchers.     

The productivity of agricultural credit in India

This study examines the nature of the relationship between formal agricultural credit and agricultural Gross Domestic Product (GDP) in India, specifically the role of the former in supporting agricultural growth, using state level panel data covering the period 1995–1996 to 2011–2012. The study uses a mediation analysis framework to map the pathways through which institutional credit relates to agricultural GDP relying on a control function approach to tackle the problem of endogeneity. The findings from the analysis suggest that over this period, all the inputs are highly responsive to an increase in institutional credit to agriculture. A 10% increase in credit flow in nominal terms leads to an increase by 1.7% in fertilizers (N, P, K) consumption in physical quantities, 5.1% increase in the tonnes of pesticides, 10.8% increase in tractor purchases. Overall, it seems quite clear that input use is sensitive to credit flow, whereas GDP of agriculture is not. Credit seems therefore to be an enabling input, but one whose effectiveness is undermined by low technical efficiency and productivity.     

Risk aversion in agricultural water management investments in Northern Ghana: experimental evidence

Sub‐Saharan Africa (SSA) is one of the regions in the world most affected by food price volatility and production variability. Poor small‐scale farmers in this region are particularly vulnerable to this variability. As a result, households may be reluctant to adopt new agricultural water management (AWM) technologies when they involve more risk than what they mitigate. Despite risk's role in AWM investments, there have been few attempts to estimate the magnitude and nature of risk aversion in relation to this type of farm decisions. To partially close this gap, this article uses an experimental approach applied to 137 households in Northern Ghana. We find that more than 70% of households are moderately or slightly risk averse. This contrasts with other studies in SSA, where most household decision‐makers exhibit severe to extreme risk aversion. We also find that households that stand to lose as well as gain something from participation in games are less risk averse than households playing gains‐only games. This result suggests that most farmers’ current wealth put them at risk of falling into a poverty trap. Thus, the losses from the riskiest investments on AWM technologies may fall more heavily on the poor, suggesting that additional efforts be given to the creation of viable insurance mechanisms.     

Temporal and spatial modelling of tropical deforestation: a survival analysis linking satellite and household survey data

We estimate a spatially explicit model of the forest clearance process among smallholder farmers in an agricultural frontier of southern Mexico. Our analysis takes as its point of departure a simple utility‐maximising model that suggests many possible determinants of deforestation in an economic environment characterised by missing or thin markets. Hypotheses from the model are tested on a data set that combines a time series of satellite imagery with data collected from a survey of farm households whose agricultural plots were geo‐referenced using a global positioning system (GPS). We implement a survival analysis to identify the effect of household level explanatory variables on the probability of deforestation. This approach allows us to introduce a measure of the time until clearance as a covariate, thereby affording a control for the effect of potentially important explanatory variables that vary through time but are not directly observable. In addition to identifying several variables relevant for policy analysis, including household demographics, proximity to roads, and government provision of agricultural support, model results suggest that the deforestation process is characterised by non‐linear duration dependence, with the probability of forest clearance first decreasing and then increasing with the passage of time.     

Spatial dimensions of precision agriculture: a spatial econometric analysis of millet yield on Sahelian coversands

The identification of local soil variability caused by within‐field differences of macronutrients and ecological features is of paramount importance for the effectiveness of precision agriculture. We present several spatial statistical and econometric techniques to capture local differences in soil variation, ecological characteristics, and yield more effectively than the analytical techniques traditionally used in agronomy. The application of these techniques is illustrated in a case study dealing with precision agriculture in the West African Sahel. The production of millet on acid sandy soils constitutes a typical example of low soil fertility areas exhibiting small absolute but large relative differences in crop production conditions over short distances.     

The impact of decoupled subsidies on productivity in agriculture: a cross‐country analysis using microdata

The decoupling of direct payments from production introduced in the reform of the Common Agricultural Policy is expected to make production decisions more market‐oriented and farmers more productive. However, ex‐post analyses of the productivity of farms have yet to uncover any evidence of a positive impact of the decoupling policy on farm productivity. Using Irish, Danish, and Dutch farm‐level data, we identify whether the decoupling policy has contributed to productivity growth in agriculture and farm product adjustment behavior. We find some evidence that the decoupling policy had significant positive effects on farm productivity and behavioral changes related to farm specialization.     

Technical efficiency and farm size: a conditional analysis

The relationship between technical efficiency and size might be affected by farm heterogeneity. We analyse this relationship conditional on a set of control variables. These control variables are chosen using a production model where technical efficiency is introduced as a parameter. As a result, technical efficiency affects both the input demand and the output supply of a profit maximising producer. The empirical application explores these issues using panel data of dairy farms in Spain.     

Evaluating the impact of agricultural extension on farms' performance in Crete: a nonneutral stochastic frontier approach

This article attempts to integrate the production‐ and the efficiency‐based approaches for evaluating the impact of extension on farms' performance. For this purpose the nonneutral production frontier model is used, and the empirical analysis refers to a sample of farms from Crete, Greece. The empirical results support the proposed formulation instead of either the production‐ or the efficiency‐based formulations as extension was found to have a statistically significant effect on closing both the technology and management gaps. Public and private extension services were found to be competitive in the production function and complementary in the technical inefficiency effect function. In addition, farms using both public and private extension services achieved a higher degree of technical efficiency than those using either public or private extension services, and farms with no extension services were found to be the least efficient.     

Determinants of farmers' preference for alternative animal health service providers in Kenya: a proportional hazard application

One hundred and eighty farmers in the semiarid Makueni district, Kenya, were surveyed using a structured questionnaire. The objective was to assess factors that influence farmers' preference for alternative veterinary service providers following the liberalization of veterinary services. A proportional hazard model was fitted to the data because of its ability to accommodate simultaneously the attributes of both the chooser and the choice. Of the three service providers considered in the study, community‐based animal health workers were the most preferred followed by veterinary surgeons and animal health assistants. Farmers' age and education level were inversely but significantly related to the probability of choosing any of the three service providers. Distance to the preferred service provider was the main choice‐specific attribute with a significant impact on the choice probability. A high preference for community‐based animal health workers was noted suggesting the possibility of poorly trained animal health workers dominating the veterinary services market in remote areas of Kenya. Efforts geared toward the legalization of community‐based animal health workers in Kenya and elsewhere in the developing countries should first address the constraints that hinder the penetration of professional veterinary service providers in remote areas.     

The impacts of information on returns from farming: evidence from a nationally representative farm survey in India

Using a nationally representative sample of farm households from India, this paper examines the impact of use of information on net farm incomes. Employing methodologies that mitigate potential biases in the estimation of the impact, the empirical results show that farmers who use information realize over 12% higher net returns per hectare. The paper also establishes a pecking order in access to information. Small farmers and those at the bottom of social hierarchy (based on caste) have access to fewer information sources, and they depend more on informal social networks and input dealers for their information needs. The larger farmers and those from upper caste rely relatively more on sources such as radio, television and newspaper.     

Environmental impacts of technological change in Bangladesh agriculture: farmers' perceptions, determinants, and effects on resource allocation decisions

This article measures the impact of modern technology adoption in raising farmers' environmental awareness and the impact of farmers' environmental awareness on resource use by utilizing survey data from 21 villages in three agro‐ecological regions of Bangladesh. The econometric analysis is based on the application of the Tobit model explaining farmers' environmental awareness in the first stage and a profit function examining environmental awareness and resource use relationships in the second stage. Results reveal that the “level” and “duration” of involvement with modern technology raises farmers' environmental awareness, and that farmers' environmental awareness reduces resource use including chemicals. Farmers, who are aware of the adverse environmental impacts of modern agricultural technology, use lower amounts of all inputs in order to avoid further environmental damage. Therefore, efforts to raise farmers' environmental awareness are expected to enhance intangible benefits accruing from a relatively less chemical‐intensive environment.