Plot-level technical efficiency accounting for farm-level effects: Evidence from Chilean wine grape producers

This paper applies alternative panel data models to a cross-sectional dataset that contains observations at the plot level for a sample of wine-grape farms in Central Chile. The input–output data as well as key attributes of the production system are at the plot level, at which individualized management exists. However, plots belonging to a particular farm are also subject to overall centralized (farm-level) management. Thus, this data configuration offers the possibility of analyzing technical efficiency (TE) both across plots and across farms. A Generalized True Random Effects model, which permits the separate identification of farm-level and plot-level inefficiency while controlling for unobserved farm-level heterogeneity, shows that TE varies across farms but not among plots within the same farm. Geographical location also affects grape production and agro-climatic conditions influence production levels, with grape farms located on cooler zones producing significantly less than their counterparts in warmer zones, as expected. The analysis underscores the value of using recent methodologies typically applied to panel data when cross-sectional information is available for individual plots within a farm unit or in similar settings.     

Understanding the adoption of climate change adaptation strategies among smallholder farmers: Evidence from land reform beneficiaries in South Africa

Climatic change has a negative impact on people’s livelihoods, agriculture, freshwater supply and other natural resources that are important for human survival. Therefore, understanding how rural smallholder farmers perceive climate change, climate variability, and factors that influence their choices would facilitate a better understanding of how these farmers adapt to the negative impacts of climate change. A Zero-inflated double hurdle model was employed to estimate the factors influencing farmers’ adoption of adaptation strategies and intensity of adoption at the household level in South Africa. Different socioeconomic factors such as gender, age, and experience in crop farming, institutional factors like access to extension services, and access to climate change information significantly influenced the adoption of climate change adaptation strategies among beneficiaries of land reform in South Africa. Concerning intensity of adoption, age, educational level, farming experience, on-farm training, off-farm income, access to information through ICT and locational variables are the significant determinants of intensity of adaptation strategies. Thus, education attainment, non-farm employment, farming experience are significant incentives to enhance smallholder farmers' adaptive capacity through the adoption of many adaptation approaches. This study therefore concluded that farm-level policy efforts that aim to improve rural development should focus on farmers’ education, on-farm demonstration and non-farm employment opportunities that seek to engage the farmers, particularly during the off-cropping season. The income from non-farm employment can be plough-back into farm operations such as the adoption of soil and water conservation, use of improved planting varieties, insurance, among others to mitigate climate variability and subsequently increase productivity. Policies and investment strategies of the government should be geared towards supporting education, providing on-farm demonstration trainings, and disseminating information about climate change adaptation strategies, particularly for smallholder farmers in the country. Thus, the government, stakeholders, and donor agencies must provide capacity-building innovations around the agricultural extension system and education on climate change using information and communication technologies.     

Self‐reported Resilience of European Farms With and Without the CAP

Firms are able to survive only if they adapt appropriately in response to disturbances. The ability of a farm to continue after a disturbance is defined as resilience. To analyse the resilience of EU farms we explore exit and the number of adaptation strategies that farmers follow under two scenarios. The current CAP will be continued in the base scenario, while it will be abolished in scenario 2. The outcomes show that under both scenarios large, more specialised farms with young farm heads are most resilient, and small more diversified farms headed by old farmers are least resilient.     

Climate Change and the Economics of Farm Management in the Face of Land Degradation: Dryland Salinity in Western Australia

Projected changes in climate would affect not only the profitability of agriculture, but also the way it is managed, including the way issues of land conservation are managed. This study provides a detailed analysis of these effects for an extensive dryland farming system in south-west Australia. Using a whole-farm linear programming model, with discrete stochastic programming to represent climate risk, we explore the consequences of several climate scenarios. Climate change may reduce farm profitability in the study region by 50% or more compared to historical climate. Results suggest a decline in the area of crop on farms, due to greater probability of poor seasons and lower probability of very good seasons. The reduced profitability of farms would likely affect the capacity of farmers to adopt some practices that have been recommended to farmers to prevent land degradation through dryland salinization. In particular, establishment of perennial pastures (lucerne or alfalfa, Medicago sativa ), woody perennials ("oil mallees", Eucalyptus spp.), and salt-tolerant shrubs for grazing ("saltland pastures", Atriplex spp.) may become slightly more attractive in the long run (i.e., relative to other enterprises) but harder to adopt due to their high establishment costs in the context of lower disposable income.     

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.     

Profitability and Efficiency of High Nature Value Marginal Farming in England

The UK Brexit vote triggered a new wave of policy developments for a future outside the EU. In this context, we analyse the business performance of English hill and upland farms, characterised by marginal economic conditions but also high nature value (HNV). The analysis aims to help identify farm-level management and policy options for greater economic, environmental and social sustainability. Business performance is measured as technical efficiency and the occurrence and persistence of abnormal profits, estimated through stochastic frontier analysis and static and dynamic panel-data methods. The results help indicate rationales for recent trends including farm enlargement, farm family diversification, and agri-environment scheme entry. The single farm payment is found to be negatively associated with farm technical efficiency while agri-environmental subsidies were positively associated to short-term farm profitability. Farm adaptation and resilience during a period of likely turbulence in external circumstances is discussed in light of these findings, as well as potential parallels with marginal HNV areas across Europe.     

Determinants of climate change adaptation strategies and its impact on the net farm income of rice farmers in south-west Nigeria

A multivariate probit (MVP) model was used to analyse the determinants of strategies adopted for adapting to climate change in a sample of smallholder rice farmers in south-west Nigeria. An efficient endogenous switching regression model (ESRM) was used to estimate the impact of climate change adaptation strategy on the net income of rice farmers. The MVP results show that the socio-economic factors, the institutional factors, and locational variables of some households statistically influenced the choice of climate change adaptation strategies employed. Complementarities among all the adaptation strategies used by the farmers were revealed by the positive pair-wise correlation matrix of the MVP model. The study also indicated that farmers affected by prolonged drought and incidences of flood were more likely to adopt adaptation strategies on their farmlands. The ESRM treatment effect indicated that the average net income per rice farm of those who adopted the strategies was significantly higher than that of those who did not. Thus, the government, stakeholders, and donor agencies must provide capacity-building innovations related to agricultural extension systems and climate change education through information and communication technologies. This investment in education is essential for development and would encourage farmers to adopt appropriate climate change adaptation strategies.     

Patterns in Technical Efficiency and Technical Change at the Farm‐level in England and Wales, 1982–2002

English and Welsh farm‐level survey data are employed to estimate stochastic frontier production functions for eight different farm types (cereal, dairy, sheep, beef, poultry, pigs, general cropping and mixed) for the period 1982 to 2002. Differences in the relative efficiency of farms are explored by the simultaneous estimation of a model of technical inefficiency effects. The analysis shows that, generally, farms of all types are relatively efficient with a large proportion of farms operating close to the production frontier. However, whilst the frontier farms of all types are becoming more efficient through time because of technical change, it is also the case that the efficiency of the average farm for most farm types is increasing at a slower rate. In addition, annual mean levels of efficiency for most farm types have declined between 1982 and 2002. The factors that consistently appear to have a statistically significant effect on differences in efficiency between farms are: farm or herd size, farm debt ratios, farmer age, levels of specialisation and ownership status.     

Traditional farm expansion versus joint venture remote partnerships

Traditionally, farms expand by buying out a neighbour. But might remote partnerships be a better way of expanding a farm business given projected climate change and price volatility? This question is addressed using farm business financial modelling. Representative farms at 27 locations in Western Australia are constructed to enable comparison of the value of buying out a neighbour versus expansion using geographically distant joint venture (JV) partners. The farm models consider economies of size, bulk purchase price discounts, the variability and correlation of returns associated with farm expansion, and impacts of climate change. Random selection of a remote partner generates little improvement in wealth; on average only 2.3 and 1.6 per cent, respectively, under current and projected future climate across all locations. However, there is large variation in wealth appreciation opportunities for each location and between locations. Preferred partnerships are a function of each farm's characteristics. Locations highly preferred as JV partners under current climate are similarly preferred partners under projected future climate. The main sources of additional wealth come from economies of size advantages, risk‐spreading benefits of combining geographically separated farms and bulk discounts. Farmers seeking business expansion will often benefit greatly from careful selection of a remote partner.     

Measuring the effect of farmland preservation on farm profitability

Purchase of development rights (PDR) programs have been created in 27 states to preserve farmland resources. These programs seek to advance several societal objectives, including the protection of farmland from development, retention of rural amenities, and promotion of the economic viability of farming. Using New Jersey farm-level data, this study evaluates whether participation in a state PDR program improves farm profitability. The propensity score matching method is used to correct for selection bias arising from the voluntary nature of these programs. No statistically significant profit differential is found between preserved and observationally equivalent unpreserved farms in our full sample of 4029 farms. When the analysis is replicated across different farm types, we find weak evidence that the profitability of preserved residential lifestyle/retirement farms is lower than that observed for their unpreserved equivalents. In contrast, we find that small farms (<$100,000 in annual sales) operated by individuals for whom farming is a principal occupation earn $414 to $436 more per acre in profit than their observationally equivalent unpreserved counterparts.     

On the nature and magnitude of cost economies in hog production

In this article, we assess the impact of farm size on production cost and evaluate the marginal costs and margins by considering that input prices may change with the scale of production. By using French hog farm data, we estimate a system of equations including a feed price function, input demand functions, and an output supply function based on a technology approximated by a combined generalized Leontief‐Quadratic form. Our results suggest that the marginal costs are over‐estimated when the adjustment of the feed unit prices to a change in farm size is not controlled for. More specifically, the cost economies for large farms (enjoying the highest profits) arise primarily from lower feed prices, with technological scale economies having little impact. In contrast, farms with no hired labor exhibit technological scale economies and reach higher price‐cost margins compared to larger farms.     

Adaptation May Reduce Climate Damage in Agriculture by Two Thirds

Although climate change may severely impact agriculture, farmers can mitigate it by adapting. Using US data, we estimate the amount of potential loss in agricultural profits, due to climate change, that can be reduced by agricultural adaptation. We consider two panel frameworks that differ only in their fixed effects specifications, where this difference allows us to estimate the climate change impact on agricultural profits with or without adaptation. Comparing these estimates, we find that adaptation has the potential to offset about two‐thirds of the end‐of‐century loss in agricultural profits potentially resulting from climate change. We also find that the warmest region in the US (i.e. in the south) has the most to gain from adaptation.     

The impact of integrated aquaculture–agriculture on small-scale farms in Southern Malawi

Sustainable agricultural intensification is an urgent challenge for Sub-Saharan Africa. One potential solution is to rely on local farmers' knowledge for improved management of diverse on-farm resources and integration among various farm enterprises. In this article, we analyze the farm-level impact of one recent example, namely the integrated aquaculture–agriculture (IAA) technologies that have been developed and disseminated in a participatory manner in Malawi. Based on a 2004 survey of 315 respondents (166 adopters and 149 nonadopters), we test the hypothesis that adoption of IAA is associated with improved farm productivity and more efficient use of resources. Estimating a technical inefficiency function shows that IAA farms were significantly more efficient compared to nonadopters. IAA farms also had higher total factor productivity, higher farm income per hectare, and higher returns to family labor.     

Farm-level efficiency and productivity measurement using panel data: wool production in south-west Victoria

In this article we explore some issues surrounding the use of farm-level efficiency and productivity estimates for benchmarking studies. Using an eight-year balanced panel of Victorian wool producers we analyse annual variation between estimates of farm-level technical efficiency derived using Data Envelopment Analysis and Malmquist estimates of Total Factor Productivity. We find that farms change their relative rank in terms of efficiency across years. Also, unlike aggregate studies of Total Factor Productivity, we find at best erratic and modest growth, a worrying result for this industry. However, caution is needed when interpreting these results, and for that matter, benchmarking analysis as currently practised when using frontier estimation techniques like Data Envelopment Analysis.     

Peer effects and the choice of adaptation strategies

This paper analyzes the impact of peer choices on the decision to adapt to climate change in rural Ethiopia. Two IVs are employed (peer-of-peer choices and peer-of-peer information sources) in order to tackle the issue of endogeneity. Through the use of a 3-year panel of farmers in the Nile Basin region, we find that peer choices positively affect the uptake of different adaptation strategies. A 10 percentage point increase in the share of peers using a specific strategy translates to an increase in the likelihood of adaptation between approximately 7% and 14%. This emphasizes the importance of social networks to achieve adaptation to climate change in sub-Saharan Africa.     

Government Payments and Farm Business Survival

Using farm-level panel data from recent U.S. Agricultural Censuses, this study examines how direct government payments influence the survival of farm businesses, paying particular attention to the differential effect of payments across farm-size categories. A Cox proportional hazards model is used to estimate the effect of government payments on the instantaneous probability of a farm business failure, controlling for farm and operator characteristics. Results indicate that an increase in government payments has a small but statistically significant negative effect on the rate of business failure, and the magnitude of this effect increases with farm size.     

Broadacre farm productivity and profitability in south‐western Australia

This paper examines broadacre farm performance in south‐western Australia. This region has experienced pronounced climate variability and volatile commodity prices since the late 1990s. Relationships between productivity and profitability are explored using panel data from 47 farms in the study region. The data are analysed using nonparametric methods. By applying the Fare‐Primont index method, components of farm productivity and profitability are measured over the period 1998–2008. Growth in productivity is found to be the main contributor of profitability. Gains in efficiency and technical change are identified as jointly and similarly important in their contribution to total factor productivity for the farm sample in the region from 1998 to 2008. However, across environments, efficiency gains play an increasingly important role in influencing productivity as growing season rainfall increases. We conclude that R,D&E that delivers further improvement in technical efficiency and technical change is needed to support the profitability of farms across the study region.     

Farm-Level Modeling for Bigger Issues

The purpose of this paper is to discuss how farm-level modelers can best extend their research to address issues broader than just farm income. The paper describes how trade-off curves are a valuable tool for summarizing the missing information to policy makers on economic problems related to sustainability issues and agriculture. We outline steps an economic researcher could follow in developing an integrated farm-level model that successfully links changes in environmental quality with agricultural practices so that the relevant trade-offs for policy analysis can be quantified.     

The Role of the Common Agricultural Policy in Enhancing Farm Income: A Dynamic Panel Analysis Accounting for Farm Size in Italy

As a multi-objective policy, the EU Common Agricultural Policy continues to secure significant income support for farmers as one of the nine specific objectives. We estimate the income transfer efficiency of a broad set of pivotal policy measures, focusing on the effects of farm structure on income transfer efficiency. We use dynamic modelling, based on a micro-data panel of Italian farms for the period 2008–2014, allowing for endogeneity, simultaneity bias, and omitted variables. In line with previous studies and economic expectations, we find that decoupled direct payments provide the highest contribution to agricultural incomes, followed by agri-environmental payments and on-farm investment subsidies. Coupled payments have no significant impacts on farmers’ income. Generally, for all analysed Common Agricultural Policy measures, large farms benefit from greater transfer efficiency levels compared with medium and small farms. These differences among instruments and across farms suggest that policy-participation costs may play a pivotal role, together with the economic structure of farms, in determining the income transfer efficiency of CAP policies.     

How adjustments in land use patterns contribute to drought risk adaptation in a changing climate—A case study in China

In the context of climate change, adaptation to climatic extremes, such as drought, has attracted worldwide attention, yet many practical adaptation strategies need to be examined at the local level. Based on a case study of the village of Beidian, located in a drought-prone region in northern China, this study demonstrates that when faced with multiple pressures of regional climate change, drought risk and rural poverty, reasonable adjustments in land use patterns can serve as an effective adaptation strategy in the agricultural sector. We used household questionnaires, in-depth interviews with village managers, and land use surveys at the farming plot level to quantify the relationship between land use change and drought mitigation effects. Our findings indicate that in the past decade, the farming practices in Beidian have transformed from a complete reliance on the winter wheat–summer corn rotation to a new diversified mode of apple as the main crop and corn and coarse cereals as the subsidiary crops. The current farming mode is proven to possess a stronger adaptive capacity to drought due to its higher water-saving efficiency and economic benefit, which facilitates rural poverty reduction and socio-economic development. This study presents a feasible approach to address adaptation strategies at the local level, which provides policymakers with information on how to best support farm-level adaptation and to reduce farmers’ vulnerability to climatic extremes within the broader context of climate change.