Can women's self‐help groups improve access to information,decision‐making,and agricultural practices? The Indian case

Effective agricultural extension is key to improving productivity, increasing farmers’ access to information, and promoting more diverse sets of crops and improved methods of cultivation. In India, however, the coverage of agricultural extension workers and the relevance of extension advice is poor. We investigate whether a women's self‐help group (SHG) platform could be an effective way of improving access to information, women's empowerment in agriculture, agricultural practices, and production diversity. We use cross‐sectional data on close to 1,000 women from five states in India and employ nearest‐neighbor matching models to match SHG and non‐SHG women along a range of observed characteristics. We find that participation in an SHG increases women's access to information and their participation in some agricultural decisions, but has limited impact on agricultural practices or outcomes, possibly due to financial constraints, social norms, and women's domestic responsibilities. SHGs need to go beyond provision of information to changing the dynamics around women's participation in agriculture to effectively translate knowledge into practice.     

Modeling regime‐dependent agricultural commodity price volatilities

In stark contrast to financial markets, relatively little attention has been given to modeling agricultural commodity price volatility. In recent years, numerous methodologies with various strengths have been proposed for modeling price volatility in financial markets. We propose using a mixture of normals with unique GARCH processes in each component for modeling agricultural commodity prices. While a normal mixture model is quite flexible and allows for time varying skewness and kurtosis, its biggest strength is that each component can be viewed as a different market regime and thus estimated parameters are more readily interpreted. We apply the proposed model to ten different agricultural commodity weekly cash prices. Both in‐sample fit and out‐of‐sample forecasting tests confirm that the two‐state NM‐GARCH approach performs better than the traditional normal GARCH model. A significant and state‐dependent inverse leverage effect is detected only for pork in the regime where the price is expected to drop, indicating the volatility in this regime tends to increase more following a realized price rise than a realized price drop.     

Willingness to Pay for Insured Loans in Northern Ghana

Index insurance has been heralded as a potential solution to risk management problems faced by smallholder farmers in developing countries. Despite its potential, demand for standalone index insurance contracts has remained low in early field trials. We investigate the willingness to pay for drought index insurance‐backed loans in northern Ghana using contingent valuation. We find that index insurance lowers overall demand for agricultural loans. We also compare micro‐level index insurance, provided directly to farmers, with meso‐level insurance, provided to the credit agency and find that farmers appear to prefer micro‐level insurance. Finally, farmers are willing to pay to avoid basis risk.     

Is Bt Cotton a Pro‐Poor Technology? A Review and Critique of the Empirical Record

Policy makers, journalists and other commentators have hailed genetically modified (GM) crops as a ‘pro‐poor’ success in the developing world. Their confidence appears to be justified by the encouraging conclusions reached by academic studies on the performance and impacts of GM crops, which seem to provide convincing evidence of substantial benefits for smallholders in developing countries. However, a detailed, critical examination of studies on transgenic, insect‐resistant cotton in China, India and South Africa demonstrates that the technology's impacts have been evaluated and represented in selective and misleading ways. The performance and impacts of GM crops have in fact been highly variable, socio‐economically differentiated and contingent on a range of agronomic, socio‐economic and institutional factors. The shortcomings of the GM crop‐impacts literature have done a disservice to public and policy debates about GM crops in international development and impeded the development of sound, evidence‐based policy.     

The impact of index‐insured loans on credit market participation and risk‐taking

Index‐insured loans offer considerable advantages over standalone insurance policies for improving farmers’ access to agricultural credit. However, research on demand for such products and their impact on profitable investment decisions has been limited and conflicting. In this article, we investigate the impact of index insurance on demand for credit and investment decisions using a lab‐in‐the‐field experiment conducted in rural Tanzania. We find that index insurance increases demand for credit and high‐risk high‐return investments.     

Agricultural Commodity Price Shocks and Their Effect on Growth in Sub‐Saharan Africa

Commodity price shocks are an important type of external shock and are often cited as a problem for economic growth in Sub‐Saharan Africa. We choose nine Sub‐Saharan African countries that are heavily dependent on a single agricultural commodity for a significant portion of their income. This paper quantifies the impact of agricultural commodity price shocks using a structural non‐linear dynamic model. The novel aspect of this study is that we determine whether the response of per capita GDP for the selected Sub‐Saharan African countries is different to unexpected increases in agricultural commodity prices as opposed to decreases in prices. We conclude that there is very little evidence that an unanticipated price increase (decrease) will lead to a significantly different response in per capita incomes.     

绿色金融视角下农业循环经济发展的政策支持研究——以河北省为例

[目的]循环经济模式已经成为当今农业经济增长的主要方式,在农业区域循环经济持续发展过程中充分发挥金融支持作用,优化制定农业循环经济协调发展的金融支持战略,有助于实现农业区域循环经济的可持续发展。[方法]采用问卷调查法对河北省农村地区的部分企业、农户和金融机构针对目前主要融资渠道、对绿色金融政策和产品的了解程度及绿色金融支持现状等方面进行分析研究。[结果]调查结果显示,被调查的农户和企业大部分均有融资需求,但目前河北省大部分农户和企业并不了解当地绿色金融相关政策和相关产品,其中37.5%农村企业目前主要的融资方式为银行贷款,而85%农户主要通过民间借贷和亲友间无偿借款的融资方式,农村地区金融机构提供的绿色金融产品以绿色信贷为主,绿色保险、绿色证券涉及较少,导致农村融资渠道受限。[结论]深化企业和农户对绿色金融政策和产品的认识和了解、完善绿色金融政策支持机制和法律法规体系,不断丰富绿色金融产品种类和融资渠道,能够为促进农村经济的可持续发展提供理论基础,对农业循环经济与生态环境的双赢、可持续发展起到重要作用。     

Can flexible agricultural microfinance loans limit the repayment risk of low diversified farmers?

Using a unique data set from a commercial microfinance institution in Madagascar, this article investigates the credit risk of microfinance loans with flexible repayment schedules for crop farmers. Flexible repayment schedules allow a redistribution of principal payments during periods with low agricultural returns to periods when agricultural returns are high through predefined grace periods. We apply propensity score matching to investigate how different numbers of grace periods reflecting different levels of production diversification affect the credit risk of crop farmers. In this attempt, three delinquency categories reflecting various levels of credit risk are assessed. Moreover, we consider the specifics of the regions where loans were disbursed. Our results reveal that loans with predefined grace periods show significantly higher delinquencies. This effect is significant over all three delinquency categories for loans disbursed to low diversified crop farmers. For the more diversified farmers, this effect is only significant for the lowest delinquency category. Hence, predefined grace periods might bridge periods with low agricultural returns but come at the cost of higher credit risk for the lender. The magnitude of these effects is, however, small.     

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.     

Pricing to market behaviour of India's high value agri‐food exporters: an empirical analysis of major destination markets

The pricing behaviour of India's high value agricultural and food exporters in their major destination markets is examined using a pricing‐to‐market (PTM) model for noncompetitive and exchange rate related pricing behaviour. The analysis was undertaken in a context where India is showing high commodity concentration in agricultural trade. The econometric analysis employed is panel corrected standard errors (PCSE) estimation technique. The results indicated evidence of a greater degree of imperfect competition either through price discrimination across destinations or through imperfect exchange rate pass‐through. The analysis of exchange rate effects showed that the local currency price stabilization by the Indian exporters were more prominent than the amplification of exchange rates. The analysis of the asymmetric effects of exchange rates on export prices showed that in most cases the depreciation of Indian rupee had a greater impact than the appreciation. Moreover the results showed that the exchange rate pass‐through is sensitive to the kind of exchange rate index utilised. In our analysis we found that the commodity specific exchange rate better predicts the pricing to market behaviour in most cases.