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Purpose: This paper investigates constraints to yield enhancing technology adoptions, highlighting credit using data pooled from the first three waves of the Ethiopian socio-economic surveys. Design/methodology/approach: Direct elicitation methodology is used to identify household's non-price credit rationing status. The panel selection model specified to examine causal effects of credit constraint on adoption variables allows us to tackle self-selection into adoptions and potential endogeneity of credit constraint while controlling for unobserved heterogeneity in both the selection and main equations. Findings: Results show that about 54% of sample households face credit rationing, predominantly demand-side risk rationing. There is a negative association between measures of credit constraint status and adoption variables. The effect is stronger when the demand-side credit rationing is accounted for and when within household variation in credit constraint status overtime is considered as opposed to across constrained and unconstrained households. Practical implications: Expanding physical access to institutional credit alone may not necessarily spur increased uptake of credit and instant investment by farm households. For a majority of them to take advantage of available credit and improved technology, interventions should also aim at minimizing downside risks. Originality/value: This paper incorporates the role of downside risk in influencing farmer's decisions to uptake credits and subsequently his/her adoption behaviors. The researcher approached the topic by state-of-the-art method which allows obtaining more reliable results and hence more specific contributions to research and practice. [ABSTRACT FROM AUTHOR]

Purpose: Financial inclusion and digital finance go side by side and help enhance agricultural activities; however, the magnitude of digital financial services varies across countries. In line with this argument, this study aims to examine whether financial inclusion enhances agricultural participation and decompose the significance of the difference in determinants of agricultural participation between financially included – not financially included households and digital finance – no digital finance households. Design/methodology/approach: This study uses Pakistan's household integrated economic survey 2018/19 to test hypotheses. The logit model is used to examine the effect of financial inclusion on agriculture participation. Moreover, this study employs a nonlinear Fairlie Oaxaca Blinder technique to investigate the difference in determinants of agricultural participation. Findings: This study reports that financial inclusion positively influences agricultural participation, meaning households may have access to financial services and participate in agricultural activities. The results suggest that the likelihood of participating in agriculture in households with mobiles and smartphones is higher. Moreover, household size, income, age, gender, education, urban, remittances from abroad, fertilizer, pesticides, wheat, cotton, sugarcane, fruits and vegetables are the significant determinants of agricultural participation. To distinguish the financially included – not financially included households' gap, this study employs a nonlinear Fairlie Oaxaca Blinder decomposition and finds that differences in fertilizer explain the substantial gap in agricultural participation. Likewise, this study tests the digital finance – no digital finance gap and finds that the difference in fertilizer is a significant contributor, describing a considerable gap in agricultural participation. Research limitations/implications: Empirically identified that various factors cause agricultural participation including financial inclusion and digital finance. Regarding the research limitation, this study only considers a developing country to analyze the findings. However, for future research, scholars may consider some other countries to compare the results and identify their differences. Practical implications: The accessibility of fertilizer can reduce the agricultural participation gap. However, increased income level, education and cotton and sugar production can also overcome the differences in agriculture participation between digital finance and no digital finance households. Originality/value: This is the first study to decompose the difference in determinants of agricultural participation between financially and not financially included households. [ABSTRACT FROM AUTHOR]

Purpose: Focusing on micro-level indicators, we investigate financial inclusion levels in rural China, examining its determinants and impact on household welfare. We construct a financial inclusion index of four essential financial services: savings, digital payments, credit and insurance. We identify factors influencing financial inclusion among Chinese rural households and assess the effects of financial inclusion on household welfare. Design/methodology/approach: With the entropy method, we use data from the 2019 China Household Finance Survey to assess financial inclusion levels in rural China. Determinants and their impact on welfare are analyzed through probit and ordinary least squares models, respectively. Propensity scoring matching is applied to address potential endogeneity. Findings: We reveal that rural households exhibit limited usage of formal financial services, with notable regional disparities. The eastern region enjoys the highest financial inclusion and the central region lags behind. Household characteristics such as family size, education level of the household head, income, employment status and financial literacy significantly influence financial inclusion. Financial inclusion positively impacts household welfare as indicated by household consumption expenditure. The use of different types of financial services is crucial with varying but significant effects on household welfare. Originality/value: This study offers valuable insights into China's rural financial inclusion progress, highlighting potential barriers and guiding government actions. [ABSTRACT FROM AUTHOR]

Purpose: This study examined the impact of the Input Credit Scheme (ICS) by the Integrated Water Management and Agriculture Development (IWAD) on the productivity and food security of smallholder rice farmers in Ghana. Design/methodology/approach: Cross-sectional data from 250 rice farming households in the Mamprugu Moagduri district of the North East Region obtained from a multi-stage sampling technique were used for the study. Inverse Probability Weighted Regression Adjustment (IPWRA), Propensity Score Matching (PSM) and Kendall's coefficient of concordance were the methods of analysis employed. Findings: Empirical results show that education, rice farming experience, dependency ratio, FBO membership, farm size and farm age were the significant factors influencing participation in the input credit scheme (ICS). Also, participants had an average rice productivity of 1,476.83 kg/ha, whereas non-participants had 1,131.81 kg/ha implying that participants increased their productivity by about 30%. In addition, the study revealed that participant households increased their household dietary diversity (HDDS) by 0.45 points amounting to about 8% diversity in their diets. High-interest rates associated with credit received, the short periods of credit repayment and the high cost of inputs provided under the scheme were the most challenging constraints associated with partaking in the ICS. Practical implications: The available literature on agricultural interventions have predominantly emphasized input credit as a key factor for improving cropt productivity and food security of smallholders. This study provides compelling evidence that participation in ICSs can result in substantial benefits for agricultural development, as evidenced by increased productivity leading to improved food security. The significance of these findings is highlighted by the fact that, through participation in input credit schemes, smallholder rice farmers in many developing countries see substantial improvement in their capacity to access productive resources, thereby improving their productivity, while simultaneously reducing food insecurity. Social implications: Leveraging on the improved productivity of participants in the ICS, this study advocates that such input credit schemes should scale up to more food-insecure farming communities in Ghana. Originality/value: The study uses a doubly robust econometric approach to evaluate the impact of ICS on smallholder rice farmers' productivity and food security in Ghana, making it the first of its kind. The findings offer a solid basis for future research and provide guidance for policymakers looking to boost agricultural development in Ghana. [ABSTRACT FROM AUTHOR]

Purpose: Climate change is expected to cause larger and more frequent precipitation events in key agricultural regions of the United States, damaging crops and soils. Subsurface tile drainage is an important technology for mitigating the risks of a wetter climate in crop production. In this study, the authors examine how quickly farmers adapt to increased precipitation by investing in drainage technology. Design/methodology/approach: Using farm-level data from the 2018 Agricultural Resource Management Survey (ARMS) of soybean producers, the authors construct a drainage adoption timeline based on when the operator began farming their land and when tile drainage was installed, if at all. The authors examine both the initial investment decision and the speed with which drainage is installed by adopters. A Heckman-style Poisson regression is used to model the count nature of adoption speed (measured in years taken to install tile drainage) and to correct for potential sample-selection bias. Findings: The authors find that local precipitation is not a significant determinant of the drainage investment decision but may be highly influential in the timing of adoption among drainage users. Farms exposed to crop-damaging levels of precipitation install tile drainage faster than those with low to moderate levels of rainfall. Estimates of farm adaptation speeds are heterogeneous across farm and operator characteristics, most notably land tenure status. Originality/value: Understanding how US farmers adapt to extreme weather through technology adoption is key to predicting the long-term impacts of climate change on America's food system. This study extends the existing climate adaptation literature by focusing on the speed of adoption of an important and increasingly common climate-mitigating technology – subsurface tile drainage. [ABSTRACT FROM AUTHOR]

Purpose: Promoted for its inclusivity, agricultural value chain (AVC) financing leverages social capital and mechanisms such as off-take agreements and forward contracts to reduce borrowing and lending costs and risks for both farmers and lending institutions. AVC financing has been defined as the flow of financial products and services to and among the various actors within the AVC to address constraints of production and distribution and fulfill the needs of those involved in the chain by reducing risk and improving efficiency. This paper investigates how farmers' involvement in AVC affects their access to credit. Design/methodology/approach: The authors collected primary data from 400 crop farmers in northern Ghana through a semi-structured questionnaire and analyzed the data, using the multinomial endogenous switching regression model. Findings: Joint participation in AVC increased the amount of formal and informal credit received by 64 and 78%, respectively, compared to nonparticipation. Similarly, participation in AVC horizontal linkage and AVC vertical linkage increased the amount of formal and informal credit received by 40 and 47% and 46 and 74%, respectively, compared to nonparticipation. Irrigation farming, extension visits, knowledge of AVC in the community, access to a storage facility and trust in contract farming significantly influenced farmers' participation in AVC. Originality/value: The authors' work offers valuable insights into how different dimensions of value chain participation can impact smallholder farmers' access to credit. This work also underscores the importance of considering both formal and informal credit sources when analyzing the outcomes of value chain participation. The findings could enable formal financial providers to identify, liaise and/or resource informal financial players such as value chain actors to supply both formal and informal credit to farmers in AVCs. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this article is to analyze the factors that drive gender income differences among farmers in Cambodia with a focus on the role of formal credit. Design/methodology/approach: To decompose the gender income gap, this article employs the Blinder–Oaxaca decomposition technique, while a two-stage least square (2SLS) regression is also employed to check the causal effect of formal credit usage on earnings. Findings: Results show a positive effect of formal credit on farmers' earnings and the gender gap in formal credit usage is not found. Despite that, formal credit still contributes to the gender earnings gap with a higher return to credit usage for male farmers. This can be due to the difference in the level of education, financial literacy and other dimensions in favor of men, allowing them to use credit more effectively than women. Research limitations/implications: The findings underline the importance of boosting general and financial education among female farmers in Cambodia. Meanwhile, the expansion of access to financial services for women must be accompanied by policies addressing gender gaps in other economic and social dimensions, so that women are able to reap the potential benefit of using those financial services. Originality/value: Lack of research focuses on the link between the gender gap in the use of financial services and the gender income gap. The significant gender gap in returns to formal credit usage found in this study demonstrates that the benefits of gender equity in access to and usage of financial services also depend on the effects of other indicators that policymakers must be aware of. [ABSTRACT FROM AUTHOR]

Purpose: Agriculture in Ghana is dominated by smallholder farmers in rural areas. Majority of these farmers are resource-poor and faced with serious challenges in accessing formal financial services towards farming needs attributed to the stringent requirements. To bridge this gap, village savings and loan associations (VSLA) have been promoted in rural areas as an alternative to meeting the credit needs of smallholder farmers. Credit plays a vital role in input acquisition among farmers for improved agricultural value productivity. This study assesses the contribution of VSLA to agricultural value productivity in the Northern Region of Ghana. Design/methodology/approach: The methodology is a primary cross-sectional data collected with the help of a semi-structured questionnaire. This study, therefore, applied a propensity score matching (PSM) to assess the effects of VSLA on agricultural value productivity. Findings: Results from the PSM revealed that extension contact, contract farming, television set ownership, participating in "Planting for Food and Jobs" and nature of roads, including receiving VSLA information from members' increases participation decision of farmers in VSLA. Conversely, age of a farmer, household size, distance to output market and farmers in the Sagnarigu Municipality have negatively influenced VSLA participation. The propensity score matching estimates showed that members of VSLA obtained 38.2% higher agricultural value productivity than non-members. Originality/value: Village savings and loans associations can be promoted among smallholder farmers as an effective alternative to formal financial service for inclusive development. [ABSTRACT FROM AUTHOR]

Purpose: This study is conducted to evaluate the impact of rural credit on farm household income and food security. Design/methodology/approach: A multistage random sampling procedure is implemented to select 180 (82 credit user and 98 non-credit user) households from Kurfa Chele district, eastern Ethiopia. The Propensity Score Matching technique is used to estimate the impact of credit utilization on the welfare indicators. Findings: The results of the econometric model estimation show that participation in the rural credit program was positively influenced by a household's educational status, family size, voluntary saving and participation in training related to credit and saving. On the contrary, livestock holding and extension advice were found to negatively affect participation. Furthermore, participation in rural credit program is found to increase annual income by 59% and calorie intake by 21%. These are significant results implying that participation in the rural credit and saving program improved household welfare in the study area. Originality/value: This study is important because it shows the welfare impact of making credit program available to potential users in the study area. Moreover, for effectiveness of the credit program it is necessary to target households with relatively larger family size and those with relatively better education (to induce change among the wider farming community). It is also essential to focus on the saving behavior of the program beneficiaries and enhancing the management system by ensuring that sufficient development agents are in place. [ABSTRACT FROM AUTHOR]

Purpose: The study presents and evaluates a proposition that there is market information bundled with the mobile money (m-money) system. Also, that such information is disseminated to farmers in the process of their normal financial transactions and business interactions. This market information is important to mitigate the price uncertainty of farm products. Design/methodology/approach: The empirical analysis is conducted with a two-stage econometric procedure. First, a probit model is used to estimate the likelihood of m-money take-up by farm entrepreneurs. Second, the ordinary least squares model is used to regress the farming price uncertainty index on the m-money take-up, which is quantified with a set of predicted values from the probit model in the first stage. The data used in econometric estimation come from Kenya's FinAccess Household Survey published in 2016. Findings: The results of this paper show a negative effect of m-money service take-up on the price uncertainty index. A one unit increase in the m-money system is associated with a 12% reduction in the price uncertainty index. The authors interpret this as saying that access to the m-money system by farm business has a beneficial spillover effect on product risk mitigation, ceteris paribus. Research limitations/implications: The implication of this research is that policy initiatives which support farm entrepreneurs to access the m-money system should be encouraged not only for their financial inclusion advantage but also for their positive externality on product risk amelioration for rural farm businesses. Originality/value: The paper introduces an idea that the m-money system is bundled with relevant information for mitigating price risk to the benefit of rural farm businesses. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to identify the correlates of crop insurance adoption and estimate the impact on debt and farm income. Design/methodology/approach: The authors used nationally representative data from National Sample Survey Office (NSSO), which consisted of 35,200 farming households. Logit and propensity score matching (PSM) (nearest neighbor, caliper and kernel matching) techniques were used. Findings: With only around 5% of households insuring their crops and 87% of them not receiving claims, crop insurance in India has failed. Logit model estimates of correlates of adoption indicated that households with larger family size, lower social group, less education, lower standard of living and poor were more likely to be left out of the ambit of crop insurance. Further, propensity score estimates suggested that households with access to crop insurance had significantly lesser outstanding debt with positive effect on input costs and crop income. The authors' results were in contrast to the risk balancing theory. Practical implications: Results of our work encourage us to rethink and restructure the crop insurance policy design in India. With credit and insurance markets interlinked by design and as the risk balancing in the farm business found absent, policies to strengthen both the markets are the need of the hour. To encourage more farmers to take up crop insurance, revenue-based indemnity calculation could be tried in India. Originality/value: Impact estimates from three different algorithms of matching were compared and tested for robustness. Consistent average treatment effect on treated (ATT) was considered for interpretation and policy implications. Since the data are from a nationally representative survey, results are believed to be of extreme value to policy makers and insurance providers as it can be generalized. [ABSTRACT FROM AUTHOR]

Purpose: This study examines the relationship between economic fluctuations and financial distress in the US agricultural sector, which is associated with a large degree of financial instability. Design/methodology/approach: The authors developed a parsimonious model of economic fluctuations in the US agricultural sector. The authors used statistical filter methods to identify the co-movement in cyclical fluctuations in real, cumulative growth rates in farm real estate values, farm sector debt and leverage. Findings: The proposed model closely approximated the financial evolution of the US agricultural sector between 1960 and 2018. In addition, the authors proved that the proposed model is an early warning indicator of farm loan delinquencies and farm bankruptcies. Originality/value: This study exploits recent advances in economic theory and empirical macroeconomic modeling to develop a model that is a robust predictor of financial distress in the agricultural sector. Further, the authors demonstrate that the policy interventions following the 1980s farm financial crisis demonstrate the likely long-run economic response to the policies enacted following the 2008 financial crisis. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to determine the impact of microcredit on smallholder poultry production and its subsequent role on domestic protein and food supply. Design/methodology/approach: Cross-sectional farm-level data from 61 farmers with at least two years of microcredit access and 39 farmers without microcredit access in the Dormaa Municipality of Ghana collected in 2016 via semi-structured questionnaire were used. Using the propensity score matching, PSM, and data envelopment analyses approaches, the authors analysed the propensity of farmers' taking microcredit and its effect on beneficiaries' technical efficiency, productivity, profitability and domestic production of chicken and eggs, farm performance. The authors addressed selection biases with the PSM and answered the research question of whether farmers with microcredit access perform better than non-microcredit farmers. Findings: Farmers with high years of education, farming experience, technology and machinery as well as micro-savings and female farmers are more likely to take microcredit whereas large farm size reduces farmers' propensity to take microcredit. Furthermore, farms with microcredit access were more technically efficient, productive and profitable than they would have been in the absence of microcredit. Practical implications: The paper can be useful to policymakers and microcredit institutions since it provides evidence of microeconomic impacts of microcredit on agricultural production and the determinants of farmers' participation in microcredit. Originality/value: The study helps to understand how access to credit can improve smallholders' technology adoption, production efficiency and productivity and output thereby enhancing domestic food supply. [ABSTRACT FROM AUTHOR]

Purpose: The centrality of agricultural sector to the economy, particularly in developing countries, has drawn the attention of researchers to critically examine different factors determining the performance of the sector. Given that massive investment is required to ensure maximum productivity in the sector, one of the factors identified is the issue of financing. However, financing agricultural sector in a poor institutional environment can be depressing. In the light of this, the purpose of this paper is to examine the nexus between financial development and agricultural performance in Nigeria with a view to investigating the role of institutions. Design/methodology/approach: The study employed annual data spanning the period from 1981 to 2016. Three indicators of financial development and five institutional variables were used. Besides, for robust analysis, the study also computed an aggregate measure of financial development and institutions using principal component method. Autoregressive distributed lag method of estimation was used to examine the short-run and long-run effects of financial development on agricultural performance in Nigeria. Findings: The findings showed that financial development has a positive impact on agricultural performance in Nigeria. However, this positive impact is being undermined by institutional variables. Originality/value: To the best of the authors' knowledge, this is the only study that examines the mediating role of institutional factors such as the rule of law, control of corruption, etc., in the financial development–agricultural performance nexus in Nigeria. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to analyze the impact of microcredit on per capita income of farm households in Cameroon. It discusses short- and long-term implications of access to microcredit on income poverty. Design/methodology/approach: The authors interviewed rural households with agriculture being either their first or second income-creating activity. All sampled households are clients of a Cameroonian village bank. The authors used a balanced panel with a treatment and a control group, the latter not having had a village bank microcredit yet. The results were reaffirmed using bootstrapping. Findings: This paper argues that microcredit has had a significant positive impact on per capita income in the short run, but the long-term effect was negative, albeit not significant. In the long run, absolute income poverty had further decreased in the treatment group, however, not as much as in the control group. Because the treatment group had been shifting back to the informal financial sector and had diverted part of the microcredit for consumption, this may have led to lower marginal income effects. Productivity of credit financed inputs by the treatment group remained constant, which also explains why the treatment group fell back over time. Research limitations/implications: The balanced panel data set was relatively small due to attrition over time. This was accounted for using bootstrapping. Nevertheless, research results must be interpreted with care. Furthermore, the discussion is not exhaustive. Practical implications: Despite tremendous methodological advancements regarding the impact analysis of microcredit on income poverty, findings remain controversial and inconsistent. Frequently, fungibility is a confounding issue. Microcredit policy ought to consider more long-term effects. Originality/value: There is much discourse amongst development economists about the impact of microcredit on poverty. Research based on panel data may clarify some of the controversial issues. This research paper uses a rather unique panel data set from Cameroonian farm households that are clients of a private sector village bank. The issue of sample size limitation is dealt with using bootstrapping. The authors base the empirical analysis on a comprehensive and theoretically founded economic farm household model. [ABSTRACT FROM AUTHOR]

Purpose The purpose of this paper is to examine if credit rationing persists even in the era of financial liberalization, the extent to which individual, firm and loan characteristics influence the rationing behavior of commercial banks and whether the agricultural sector is discriminated against in the commercial bank credit market.Design/methodology/approach The study employed a probit model with marginal effects and a generalized Blinder-Oaxaca decomposition estimation on a randomly selected data of 1,239 entrepreneurs from eight commercial banks’ credit records about their individual, firm and loan characteristics.Findings The study revealed that credit rationing persists and that applying for a relatively longer payment period, providing collateral and guarantor, being illiterate, being relatively older and being in the agricultural sector increases the likelihood of being credit rationed, while having some relationship with the bank, having non-mandatory savings and applying from a bank with relatively high interest rates reduce the likelihood of being credit rationed. The study also revealed a credit gap of 17.77 percent and a positive discrimination against borrowers in the agricultural sector as the gap was largely being influenced by unexplained factors.Research limitations/implications The research was intended to cover a large number of commercial banks in Ghana. However, most of the banks were unwilling to provide such information about their borrowers; hence, the research was limited to only eight commercial banks who provided the author with the information needed for the study.Practical implications The study concludes that policies that enhance human capital, women, and older access to credit and agricultural-oriented financial services and others, will go a long way to reduce rationing and increase access to credit, especially to the agricultural sector.Social implications The research proposes the use of group lending as a form of collateral and monitoring to ease risks and default, and hence supports sustainable funding to increase access and outreach.Originality/value The paper looks at the comprehensive way about the various factors determining credit rationing in that it considers not only the individual, economic/firm and loan characteristics but also the extent to which discrimination toward the agricultural sector exists in the commercial banks credit market. [ABSTRACT FROM AUTHOR]

Purpose – The purpose of this paper is to consider how the federal crop insurance (FCI) program influences farm debt use, one of the key financial decisions made by farm operators. Design/methodology/approach – Using data from the nationally representative Agricultural Resource Management Survey, the paper implements a propensity score matching model of the impact of FCI participation on various measures of farm business debt use. To account for the simultaneity of financial decisions, the paper further tests this relationship using a seemingly unrelated regression model. Findings – FCI participation is associated with an increase in use of short-term farm debt, but not long-term debt, consistent with risk balancing behavior and current trends in the farm sector. Research limitations/implications – In addition to risk balancing, the results are also consistent with credit constraints or lender preferences. The paper cannot fully establish causality between crop insurance participation and short-term debt levels. Future research should address these limitations. Practical implications – Agricultural lending standards are generally conservative and the farm sector as a whole currently has historically low leverage, which implies that an increase in debt use may not be a threat to the financial health of the farm sector. Social implications – The results indicate that the reduction in total risk facing the farm sector is significantly less than the decline in risk provided by FCI, which is an important consideration for policymakers. Originality/value – This is the first paper to use an econometric model to analyze the relationship between FCI and farm debt use decisions. This paper can inform future research on the FCI program and farm financial decisions. [ABSTRACT FROM AUTHOR]

Purpose – In this paper, the authors set out to establish if there is a link between finance and economic growth in rural areas. The purpose of this paper is to evaluate the relation between credit by major lenders in rural areas – commercial banks and Farm Credit System (FCS) institutions – and economic growth for the period 1991-2010. Design/methodology/approach – The motivation for this work comes from empirical studies showing a link between economic development and financial system development as well as from work which highlights the positive role of long-term finance provided by banks. The authors use two alternative panel data sets and fixed effects models to estimate the causal effect of credit supply (with lagged explanatory variables) on agricultural GDP growth per rural resident. Findings – The authors find a positive association between agricultural lending and agricultural GDP growth per rural resident with additional billion in loans (about a third of the actual average) associated with 7-10 percent higher state growth rate with this association stronger during the 1990s. Regional data confirm these results. The results point to a positive link between credit and economic growth in rural areas during that period, attributable to the lending by FCS institutions and by commercial banks. Research limitations/implications – Data availability limits the scope of this paper. The authors use state level balance sheet data available for the 1991-2003 period and annual data for 2003-2010 period. An additional regional data set is constructed for 1991-2010 with more aggregated data for the ten USDA agricultural production regions. The small number of panels limits the ability to use more sophisticated econometric models and the choice of dependent variables that captures economic growth. Practical implications – By provides evidence that agricultural finance and in particular lending contribute significantly to the growth of US agriculture, this paper contributes to the policy debate on weather support for agricultural finance initiatives is justified. Originality/value – The authors are not aware of another study that has linked agricultural lending by commercial banks and FCS institutions to growth in rural areas in the USA. [ABSTRACT FROM AUTHOR]

Purpose – The purpose of this research is to develop a composite agribusiness stock index and then compare the returns and volatility to other broad-based market indices. The paper then evaluates the diversification potential of agribusiness stocks in the context of an investment portfolio. Design/methodology/approach – This agribusiness index (AGB Index) is market-capitalization weighted. Only firms traded on the NYSE, AMEX, or NASDAQ and meeting ERS SIC classification for industries related to agriculture are included in the index. The paper then uses standard financial metrics to measure the historical risk, return, and correlation. Findings – Until recent years, the AGB Index has historically exhibited lower returns than the market indices. The AGB Index has also exhibited lower risk and correlation with treasury securities than broad market indices. Practical implications – In recent years, portfolio managers and large investors have invested considerably in asset classes like farmland for stable returns, an inflation hedge, and diversification tool. This agribusiness index may further this trend and lead to the development of an alternative Exchange Traded Fund (ETF). This product would make investment in agriculture possible for virtually all investors. Originality/value – Despite increasing popularity, very little research exists on the performance of agricultural stocks in an investment portfolio. This study develops a large-cap agribusiness stock price index to help fill this void in the literature. [ABSTRACT FROM AUTHOR]

Purpose – For many farm families and operators across the OECD countries, off-farm income has become a major determinant of their well-being. The purpose of this paper is to investigate the potential role of off-farm employment as a risk management tool among farm operators. Design/methodology/approach – A two-part model is applied to a longitudinal farm-level data set for about 20,000 Canadian farms, from 2001 to 2006, in order to estimate the relationship between farm income risk and the decision to participate in the off-farm labor market and the level of off-farm employment income. Findings – The variability of farm market revenue is found to be positively related to the likelihood of off-farm work and the level of off-farm employment income, in particular for operators of relatively large farms. Hence, farm operators' production decisions appear to be conditioned on an income portfolio that includes a substantial amount of off-farm income for all sizes of farms. Social implications – These results reinforce the need to consider the portfolio effect induced by the integration of farm resources within the non-farm sector. This is particularly relevant to risk management farm policies that have typically considered decisions made in the agricultural sector in isolation. Originality/value – This paper uses a true farm-level panel data set to investigate the relationship between farm income risk and off-farm work. The size of the data set also allows the robustness of the results across farm typologies and size to be tested. This study contributes to the understanding of structural changes in the farm sector, and their potential implications for both rural and agricultural policies. [ABSTRACT FROM AUTHOR]

Purpose – The purpose of this paper is to investigate the relationships between regulatory changes, returns on equity and stock market valuations for Canadian food and non-food agribusinesses. Design/methodology/approach – Two empirical approaches are employed. First, an event study is used to evaluate the impact of official regulatory announcements on the stock market valuations of selected Canadian agribusinesses. Next, an approach introduced by Mishra et al. using the Du Pont expansion is applied to investigate the effect of regulations on firms' accounting profits. Data on Canadian food and non-food agribusinesses are collected from Bloomberg, Thompson One Banker and SEDAR. Findings – The event study demonstrates that official regulatory announcement dates do not correspond with abnormal stock market returns for Canadian firms, while the Du Pont model yields mixed evidence with respect to their accounting profits. Research limitations/implications – This paper only considers publicly traded companies. As a result, survivorship bias may exist. Future research should include privately held and cooperative firms. Social implications – Food regulations can influence firm profits and shareholder wealth, so understanding how government actions influence agribusiness is important when considering the total costs of current and future food policy. Originality/value – The interaction between policy and the financial performance of Canada's publicly traded agribusinesses is an under-researched area and no studies have examined Canadian data. The results of this study are valuable to both policy makers and researchers. [ABSTRACT FROM AUTHOR]

Purpose – The purpose of this paper is to examine the potential gains in hedge ratio calculation for agricultural commodities by incorporating market linkages and prices of related commodities into the hedge ratio estimation process. Design/methodology/approach – A vector autoregressive multivariate generalized autoregressive conditional heteroskedasticity (VAR-MGARCH) model is used to construct a time-varying correlation matrix for commodity prices across linked markets and across linked commodities. The MGARCH model is estimated using a two-step approach, which allows for a large system of related prices to be estimated. Findings – In-sample and out-of-sample portfolio variance comparison among no hedge, bivariate GARCH, and MGARCH models indicates that hedge ratios estimated using the MGARCH approach reduce agricultural producers' and commercial consumers' risks in futures market participation. Research limitations/implications – The application is limited to an examination of Montana wheat markets. Practical implications – Agricultural producers who use futures markets to reduce market risk will have a better method for determining hedging positions, because MGARCH estimated hedge ratios incorporate more information than hedge ratios estimated using existing practices. Social implications – Portfolio variance reduction is analogous to utility improvement for agricultural producers. More efficient hedging strategies can lead to better implementation of futures markets and increased social welfare. Originality/value – This research substantially extends current literature on agricultural hedge strategies by illustrating the advantages of using an hedge ratio estimation approach that incorporates important information about prices at linked markets and prices of other commodities. Providing evidence that market portfolio variance can be lowered using the multivariate estimation approach, the research offers commercial agricultural producers and consumers a practical tool for improving futures market strategies. [ABSTRACT FROM AUTHOR]