The role of behavioural factors and opportunity costs in farmers' participation in voluntary agri-environmental schemes: A systematic review

Agri-environmental schemes (AESs) are increasingly implemented to promote the adoption of environmentally friendly practices by farmers. We use a systematic review to explore the role of behavioural factors and opportunity costs in farmers' decisions to participate in AESs in Australia, Europe and North America. Behavioural factors influence how farmers value and perceive options, while opportunity costs relate to farmers' forgone utility when choosing to participate in schemes. We synthesise insights from 79 articles and over 700 factors explaining the participation in AESs. We find that a set of behavioural factors seem consistently connected to participation, including agricultural training, advice and having positive attitudes towards AESs. Moreover, several factors related to opportunity costs also have a rather consistent relationship with AES participation, including market conditions, implementation efforts, profitability, and management and contract flexibility. However, many relationships of behavioural factors and opportunity costs with AES participation are not as consistent and generalizable as sometimes portrayed and require context-specific interpretation. Those factors with mixed results can still provide insights into farmers' participation decisions as several of them are either ‘positively and insignificantly’ or ‘negatively and insignificantly’ related to participation, such as environmental attitude, trust and farm size. These results suggest that their relationship with AES participation depends on other factors or the setting, highlighting interactions and raising important new research questions. Overall, our results provide several entry points for both researchers and policy-makers, highlighting uncertainties in relationships between factors and participation that should be considered when designing policies.     

Modelling Farmers’ Participation in an Agri‐environmental Scheme using Panel Data: An Application to the Rural Environment Protection Scheme in Ireland

Previous studies that have attempted to model the participation decision of farmers in agri‐environmental schemes have used a static framework where it was not possible to examine changes in the participation decision of farmers over time. This is rectified in this paper by utilising an 11‐year panel that contains information on 300 farmers for each year. The structure of this dataset allows us to employ discrete time duration random effects panel data logit models to model the determinants of entering the Irish Rural Environment Protection Scheme (REPS). We introduce a dynamic element into a number of the models by using the random effects logit model estimator, with lagged dependent variables as additional explanatory variables. The results point to the fact that systems of farming that are more extensive and less environmentally degrading remain those most likely to participate in the REPS. In addition, the results highlight the fact that where no attempt is made to control for unobserved heterogeneity or path dependency the effects of the farm‐ and farmer‐specific characteristics may be overestimated.     

Spousal Effect and Timing of Retirement

The retirement decisions of individuals are strongly influenced by spousal retirement, financial incentives and institutional constraints such as access to early retirement benefits. In the European Union (EU), farm retirement is encouraged by early retirement provisions for farmers. As exit from farming determines the characteristics of structural change in agriculture, it is important to find out how spousal retirement and economic incentives affect the timing and type of retirement decisions among elderly farmers. This paper analyses the timing of early retirement decisions of farming couples using duration analysis and different exit channels. The empirical analysis is based on Finnish farm‐level panel data for the period 1993–1998. The results suggest that an expected pension particularly advances farm transfers. Farming couples are found to co‐ordinate their early retirement decisions. However, farmers are not found to co‐ordinate their early retirement according to spousal retirement under other pension schemes.     

PRODUCTION FUNCTION ANALYSIS AS A GUIDE TO POLICY IN LOW-INCOME FARM AREAS

This paper discusses many of the problems encountered in estimating production functions in a low-income farm area in Saskatchewan. It also ermines the difficulties of interpreting the estimated structural coefficients and their usefulness in policy formulation.
The econometric difficulties discussed in production function estimation are those of function selection and choice and rearmament of variables. Many of the comments are also relevant to other forms of quantitative research.
It is combed that: a great deal of arbitrariness is involved in selecting the appropriate production function model, statistical results often conflict with economic theory, it is impossible to interpret the results in a meaningful manner, and production function research is unable to. provide fruitful information for the type of policy decisions deemed desirable to change the economic structure of low-income farm areas.     

Interrelated labor decisions of farm couples: a censored response analysis of off‐farm work

Farm couples' labor market responses are partly the discrete choice of entering the off‐farm labor market and partly the continuous choice of off‐farm working hours, given entry. Such a setting is interesting when examining the increasing occurrence of multiple job‐holdings among farmers in Western economies. Most existing analyses of off‐farm labor supply only model the decisions of the farmer, not the joint decisions of the farm couple. This article presents a framework for handling such interrelated discrete/continuous choices, involving also farm production and household consumption. The derived two‐equation sub‐model for husband/wife's censored labor responses is estimated from a 10‐year Norwegian panel data for 342 farms. The results agree to some extent with earlier studies, but are more informative because of the longer panels—which allows a more extensive examination of latent heterogeneity and behavioral persistence—because it provides cross‐effects in the spouses' labor supplies. The results show some interesting differences between how the independent variables influence the labor supply of operator and spouse. This is most evident for the cross‐effects of education, children, and wage rate. Overall, the results strongly support applying a panel‐censoring model that accounts for latent heterogeneity in this context.     

Determinants of non-farm labour participation rates among farmers in Australia

In recent decades, non-farm employment has become prevalent and an important source of income for Australian farm families. However, models identifying the relative significance of the socioeconomic variables influencing non-farm employment participation rates have never been estimated in Australia. In this paper, a bivariate probit model of non-farm employment participation rates was estimated, using information from the Australian Bureau of Agricultural Resource Economics (ABARE) 1994–1995 surveys. It was found that the participation decision of the farm operator and spouse is likely to be jointly determined, that non-farm employment participation increased at a declining rate with age among farmers and that university education enhances the participation rates particularly among spouses. Participation rates were also higher among spouses with lower other income and with no dependent children.     

Two-Step Econometric Estimation of Farm Characteristics Affecting Marketing Contract Decisions

We examine how farm characteristics affect marketing contract decisions. We relax the restrictive assumptions of Tobit, Poisson, and multinomial logit models and consider the quantity, frequency, and contract type decisions conditional on, rather than jointly with, the contract adoption decision. In contrast to earlier studies on marketing contract decisions, we estimate a two-step econometric model using Agricultural Resource Management Study data and find that farm characteristics affecting decisions to adopt marketing contracts differ from those affecting decisions regarding quantity, frequency, and contract type.     

The effect of decoupling on marginal agricultural systems: Implications for farm incomes,land use and upland ecology

In many parts of Europe, decades of production subsidies led to the steady intensification of agriculture in marginal areas. The recent decoupling of subsidies from production decisions means that the future of farming in these areas is uncertain. For example, in the uplands of the United Kingdom, an area important both for biodiversity conservation and ecosystem service provision, hill farmers steadily increased stocking densities in response to headage payments but must now reconfigure farm businesses to account for the shift to the Single Farm Payment scheme. We examined hill farming in the Peak District National Park as a case study into the future of marginal agriculture after decoupling. We surveyed 44 farm businesses and from this identified six representative farm types based on enterprise mix and land holdings. We developed linear programming models of production decisions for each farm type to examine the impacts of policy changes, comparing the effects of decoupling with and without agri-environment and hill farm support, and evaluating the effects of removal of the Single Farm Payment. The main effects of decoupling are to reduce stocking rates, and to change the mix of livestock activities. Agri-environmental schemes mediate the income losses from decoupling, and farmers are predicted to maximise take up of new Environmental Stewardship programmes, which have both positive and negative feedback effects on livestock numbers. Finally, removal of the Single Farm Payment leads to negative net farm incomes, and some land abandonment. These changes have important implications for ongoing debates about how ecological service flows can be maintained from upland areas, and how marginal upland farming communities can be sustained.     

Farm households and nonfarm activities in Ethiopia: does clustering influence entry and exit?

This article examines how clustering affects the entry and exit decisions of farm households into and from nonfarm enterprises in rural Ethiopia. We find that the existence of clusters of microenterprises in the same district increases the likelihood of a rural household to start a nonfarm enterprise. Similarly, clustering of big manufacturing firms in the same zone is found to increase the likelihood of farm households to start a nonfarm enterprise. Nonfarm enterprises operating in clusters are also found to have a lower probability of exit than those operating outside of clusters. The study further investigates the impact of entry and exit into and from nonfarm enterprises on farm household's well‐being using as indicators total household income, the food security status of a household, and the household's ability to raise enough money in case of emergency. Using propensity score matching to account for selection bias, we find that entry into nonfarm enterprises significantly increases household's income and food security status. Exit from nonfarm enterprises, on the other hand, is found to significantly reduce household's income.     

Investigating the incidental benefits of Environmental Stewardship schemes in England

The direct benefits of Environmental Stewardship (ES) schemes are well documented in the academic policy literature and include an increase in the stock and quality of field boundaries and associated wildlife; adaptation to climate change; landscape enhancement; improvements in farm soil and water quality and protection of the historic and natural environment. It is argued that the incidental benefits of ES schemes, which capture those benefits to the wider economy and society beyond the scheme's original remit, are as yet poorly understood and insufficiently recognised in current policy evaluation criteria. This paper describes research which has systematically addressed this evidence gap through the application of sub-regional economic models to capture the direct, indirect and induced effects of a variety of ES schemes beyond the farm gate. Findings reveal the sub-regional income and employment effects of such schemes to be significant, in particular for those schemes rewarding higher standards of environmental management. The implications of the findings for ES policy, its evaluation and rural development are discussed.     

Did the Federal Crop Insurance Reform Act Alter Farm Enterprise Diversification?

We estimate how much United States farms changed enterprise diversification in response to a marked increase in crop insurance coverage brought about by the 1994 Federal Crop Insurance Reform Act, which substantially increased insurance subsidies. The analysis exploits farm‐level panel census data to compare farm‐specific changes in enterprise diversification over time. By examining diversification decisions of the same farms over time, we control for time‐invariant unobserved individual heterogeneity. We then use pooled cross‐sectional data from the United States Department of Agriculture (USDA) Agricultural Resource Management Survey to estimate the relationship between farm diversification and average returns. We find that the insurance subsidies caused a modest increase in enterprise specialisation and production efficiency. Estimated efficiency gains are far less than the subsidies.     

SAMPLING FRAMES FOR FARM SURVEYS IN THE U.K.: SOME ALTERNATIVES

The lack of a suitable sampling frame can be a major problem facing those who wish to gather information from farm surveys but who do not have access to comprehensive lists of agricultural holdings. This paper considers two alternatives. The feasibility and sampling efficiency of using the natural clusters of farms contained within parishes is first examined using information gained from a survey of farms in the Vale of the White Horse District of Oxfordshire. The same survey also provides an opportunity to evaluate the suitability of ‘Yellow Pages’ Telephone Directories as a sampling frame for farm surveys. It is concluded that surveys based on such a frame will provide estimates of the values of population parameters sufficiently accurate for most purposes.     

Assessing the Impact of the ‘Decoupling’ Reform of the Common Agricultural Policy on Irish Farmers’ Off‐farm Labour Market Participation Decisions

This paper assesses the impact of the ‘decoupling’ reform of the Common Agricultural Policy on the labour allocation decisions of Irish farmers. The agricultural household decision‐making model provides the conceptual and theoretical framework to examine the interaction between government subsidies and farmers’ time allocation decisions. The relationship postulated is that ‘decoupling’ of agricultural support from production would probably result in a decline in the return to farm labour but it would also lead to an increase in household wealth. The effect of these factors on how farmers allocate their time is tested empirically using labour participation and labour supply models. The models developed are sufficiently general for application elsewhere. The main findings for the Irish situation are that the decoupling of direct payments is likely to increase the probability of farmers participating in the off‐farm employment market and that the amount of time allocated to off‐farm work will increase.     

Factors affecting farm growth intentions of family farms in mountain regions: Empirical evidence for Central Switzerland

Family farms in mountain regions are undergoing a progressive structural change and an ongoing shift in the allocation of production factors land, capital and labor. In Switzerland, various policy measures influence the re-allocation of these production factors. To understand the effectiveness of these schemes and to assess future farm structural change, it is useful to analyze the underlying drivers which support and hinder the emergence of individual farm growth strategies. We study the family farms’ growth intentions using a logistic regression model based on a combination of census and survey data on family characteristics from two mountain case study regions in Central Switzerland. Factors supporting farm growth intentions are the relative change in farm size in recent years, farm related sunk costs, farm diversification and farm size. We found no support for the hypothesis that farm growth intention is also influenced by the perceived personal situation represented by indicators for the perceived workload, psychological stress and financial problems. In addition, off-farm labor did not prevent farmers from stating growth intentions. Our empirical findings suggest that (i) the most important factors which support farm growth intentions correspond with factors driving observed patterns of structural change; (ii) limited availability of family labor may result in a new critical threshold for farm growth strategies; (iii) aims and non-pecuniary preferences of farmers will impede a rapid structural change in the near future.     

Effect of off‐farm income on smallholder commercialization: panel evidence from rural households in Ethiopia

This article investigates how off‐farm income affects crop output market participation decisions and marketed surplus of smallholder farmers in Ethiopia. A double‐hurdle model is estimated using three waves of panel data from the Ethiopian Rural Household Survey. Unobserved heterogeneity is controlled for using a correlated random effect procedure and potential endogeneity of explanatory variables using a control function approach. The results show that off‐farm income has no significant influence on household crop output market participation. However, conditional on market participation, additional off‐farm earnings negatively affect the marketed surplus. This indicates that farmers use off‐farm earnings for consumption rather than for investment in agricultural production. Policy measures that promote rural investment may help increase returns to labor for land‐poor households participating in off‐farm work in the process of agricultural commercialization.     

A System Comparison Approach to Distinguish Two Nonseparable and Nonnested Agricultural Household Models

This study distinguishes two nonseparable agricultural household models for a self-employed farm household. One assumes heterogeneity of farm and nonfarm labor and a competitive market for nonfarm labor. The other assumes homogeneity of the two types of labor and a restricted market for nonfarm labor. We compare demand systems that are derived from them, which have different dependent variables and different numbers of equations. We apply a Cox-type test to compare these complicated nonnested systems. Results show clearly that the former is better for Japanese rice-farming households. Comparison of price elasticities for those models verifies the importance of that test.     

The impact of soil conservation and output diversification on farm income in Central American hillside farming

This article analyzes the determinants of farm income among hillside farmers participating in natural resource management projects in El Salvador and Honduras. The farm income function was evaluated using a system of equations in which income is determined simultaneously by the farmer's decision to adopt soil conservation technologies and by the level of diversification (number of agricultural activities) on the farm. The database used comes from surveys administered to 678 beneficiaries of these projects during 2002. The econometric results suggest that all the variables related directly to land use (i.e., output diversification, soil conservation practices and structures, and the adoption of forestry systems) have a positive and statistically significant association with farm income. Also, farmers who own land enjoy higher farm incomes than those who do not. The results indicate that when investing in natural resource management projects, governments and multilateral development agencies should pay close attention to output diversification, land tenure, and human capital formation as effective instruments in increasing farm income.     

Location and uptake: integrated household and GIS analysis of technology adoption and land use, with application to smallholder dairy farms in Kenya

CIS‐derived measures of location and space have increasingly been used in models of land use and ecology. However, they have made few inroads into the literature on technology adoption in developing countries, which continues to rely mainly on survey‐derived information. Location, with all its dimensions of market access, demographics and agro‐climate, nevertheless remains key to understanding potential for technology use. The measures of location typically used in the adoption literature, such as locational dummy variables that proxy a range of locational factors, now appear relatively crude given the increased availability of more explicit GIs‐derived measures. This paper attempts to demonstrate the usefulness of integrating CIS‐measures into analysis of technology uptake, for better differentiating and understanding locational effects. A set of GIs‐derived measures of market access and agro‐climate are included in a standard household model of technology uptake, applied to smallholder dairy farms in Kenya, using a sample of 3330 geo‐referenced farm households. The three technologies examined are keeping of dairy cattle, planting of specialised fodder, and use of concentrate feed. Logit estimations are conducted that significantly differentiate effects of individual household characteristics from those related to location. The predicted values of the locational variables are then used to make spatial predictions of technology potential. Comparisons are made with estimations based only on survey data, which demonstrate that while overall explanatory power may not improve with CIS‐derived variables, the latter yield more practical interpretations, which is further demonstrated through predictions of technology uptake change with a shift in infrastructure policy. Although requiring large geo‐referenced data sets and high resolution GIS layers, the methodology demonstrates the potential to better unravel the multiple effects of location on farmer decisions on technology and land use.     

Adaptation and Climate Change Impacts: A Structural Ricardian Analysis of Farm Types in Germany

Based on farm census data, we explore the climate‐dependent incidence of six farm types and the climate‐induced impacts on land rental prices in Germany. We apply a structural Ricardian approach by modeling the dominant farm type at 9,684 communities as depending on temperature, precipitation and other geographic variables. Rents per farm type are then modeled as depending on climate and other conditioning variables. These results allow the projection of the consequences of climate change as changes in our climate variables. Our results indicate that permanent‐crop farms are more likely to dominate in higher temperatures, whereas forage or mixed farms dominate in areas of higher precipitation levels. Land rental prices display a concave response to increases in annual precipitation, and appear to increase linearly with rising annual temperature. Moderate‐warming simulation results for future decades benefit most farm types but seem to penalise forage farms. Rental prices are projected to increase, ceteris paribus, for all farm types.     

A supply‐side analysis of agritourism: Evidence from farm‐level agriculture census data in Taiwan

Due to consumers’ increased demand for leisure and farmers’ need for income diversification, researchers and policymakers have significant interest in topics related to agritourism. This study provides a supply‐side analysis on agritourism using Taiwan as a case study. Utilising a sample of 720,148 family farms from the 2010 agriculture census survey in Taiwan, we quantify the effects of engaging in the agritourism business on farm income, on farm succession, and on family members’ labour supply decisions between on‐farm and off‐farm work. An analytical framework that combines the doubly robustness regression model and semiparametric estimation is proposed to address the endogeneity bias. Results indicate that participation in agritourism increases farm income and family farm succession. Farms engaging in agritourism also have more family members working on the farm, and fewer family members working off‐farm, compared to farms not engaging in agritourism. Although agritourism enterprises are developed to meet consumers’ demand for leisure, our results show that they also improve the economic welfare of farm households.