Impact of CAP Subsidies on Technical Efficiency of Crop Farms in Germany,the Netherlands and Sweden

This paper analyses the impacts of CAP reforms, particularly subsidies on technical efficiency of crop farms. An output distance function is employed and estimated together with an inefficiency effects model to capture the effects of CAP subsidies and farmer characteristics on farm efficiency. The model is applied to FADN data (period 1995–2004) of crop farms in Germany, the Netherlands and Sweden. The study shows that the 10‐year average technical efficiency is 64% in Germany, 76% in the Netherlands and 71% in Sweden. The average annual changes in technical efficiency are 0.1%, 0.4% and 2.3%, respectively. The share of crop subsidies in total subsidies has a negative impact on technical efficiency in Germany but a positive impact in Sweden, although insignificant in the Netherlands. The share of total subsidies in total farm revenues has negative impacts on technical efficiency in all three countries, consistent with income and insurance effects. Positive (negative) change in technical efficiency is mainly attributable to farm size (degree of specialisation) in Germany, and degree of specialisation (degree of subsidy dependence) in the Netherlands and Sweden.     

Input Substitution,Productivity Performance and Farm Size

This paper develops a theoretical model to examine the relationship between the input elasticity of (technical) substitution and both farm total factor productivity and size. In the presence of ongoing technical change and its factor bias, the ‘income effect’ arising from farms' cost minimising behaviour enables them to increase productivity by saving inputs or, through the dual equivalent, enlarging farm size. As such, farms with higher elasticities of substitution tend to grow larger and become more productive, which provides a new mechanism through which farm heterogeneity in productivity growth can be examined. Empirical evidence from Australian broadacre agriculture supports this theory and points to important policy implications.     

The Distributional Impact of Direct Payments on Irish Farm Incomes

The objective of this paper is to analyse the distributional effects of the different income components of Irish farm income with a Gini comparison method and by disaggregating the overall Gini coefficient of income inequality by income source. Using individual farm data for 1992 and 1996, the impact on farm income distribution of the MacSharry CAP reform is assessed. In addition, the change in the Gini coefficient between these years is decomposed into the changes in the within‐source distribution of each income stream and the share of each income stream. The favourable movement in the Gini coefficient is found to be due to the introduction of direct payments, which target less well‐off farmers. Market income remains the single largest influence on deciding the income ranking of a farm while contributing less to total income than before.     

Effect of changes in population density and crop productivity on farm households in Malawi

This study examines the ex‐ante farm‐household effects of changes in family size, yield potential, and yield gaps using a farm‐household simulation model that reflects the economic and biophysical conditions of central Malawi. Disparities between growth in human population and crop yields present challenges for farm‐household crop production and income in sub‐Saharan Africa. We focus on the effect of growth in yield potential and a more efficient use of livestock manure as approaches to improving crop production and incomes in the face of looming population pressures. Our results suggest that, even without considering climate change, expected changes in population density and crop prices in 2050 mean that per person crop production and income may fall by 21% compared to 2013 values if yield potential and yield gaps remain constant. However, per person crop production and income could increase in 2050 by 8% compared to 2013 values if (1) growth rates of yield potential rise for maize by 1.13% each year and for legumes rise by at least 0.4% each year, and (2) farmers use livestock manure more efficiently. Our foresight approach to considering crop production at the farm‐household scale supplements macro‐scale analyses of the production dimension of food security.     

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.     

Nonfarm employment,agricultural intensification,and productivity change: empirical findings from Uganda

This article uses panel data from the Living Standards Measurement Study‐Integrated Surveys on Agriculture for Uganda to assess the farm‐level effects of nonfarm employment on agricultural intensification and productivity change. A sample selection model is used to account for both unobserved heterogeneity and potential simultaneity between agricultural production and nonfarm income. Results show that nonfarm employment can have differential impacts on farm technology intensity and productivity. Nonfarm income is found to have a positive impact on farm hired labor and improved seed intensity; a negative effect on on‐farm family labor use; and no significant impact on fertilizer, soil water management, and joint use of farm technologies. The econometric evidence also indicates that agricultural productivity declines as nonfarm income increases. Taken together, our findings reveal important trade‐offs between nonfarm employment and income and farm productivity growth under smallholder agriculture. The results indicated that targeted policies are required to reduce these potential trade‐offs between nonfarm employment and agricultural intensification and productivity change.     

The Impact of Direct Income Transfers of CAP on Greek Olive Farms’ Performance: Using a Non‐Monotonic Inefficiency Effects Model

We analyse the impacts of direct income transfers on the technical efficiency of Greek olive farms. We use a production frontier function and a non‐monotonic inefficiency effects model, which incorporates the influences of exogenous variables (subsidies, farm characteristics, etc.) on technical efficiency. The model is applied to 1995–2004 FADN data. The results show that direct transfers of the CAP had a negative and monotonic effect on technical efficiency, whereas the degree of specialisation had a non‐monotonic effect on technical efficiency.     

Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America

This study examines the extent to which technical efficiency (TE) is related to activities promoted by two natural resource management programmes recently completed in Central America. Data for a total of 639 farms operating in the hillsides of El Salvador and Honduras are used to estimate a household‐level input‐oriented stochastic distance frontier simultaneously with a TE effects model. The main finding of this study is that improvements in TE are financially beneficial to farm households while also contributing to environmental sustainability. The results also reveal a positive association between productivity and output diversification, and a positive relationship between TE and off‐farm income, human capital and agricultural extension.     

Off‐farm Employment and Input Intensification among Smallholder Maize Farmers in Kenya

We derive input demand functions for fertiliser and hybrid seed, testing for the combined and separate effects of income from non‐farm sources and agricultural wage labour among smallholder maize farmers in Kenya. More income from off‐farm sources, and specifically non‐farm sources, competes with maize intensification, particularly in more productive areas where use rates are higher. In less productive areas, where households rely more on off‐farm income and input use in maize is extremely low, agricultural wage labour reduces the likelihood that fertiliser is applied, but when used, has a positive effect on quantities purchased of both seed and fertiliser.     

SIMULATED MARKETS,FARM STRUCTURE,AND AGRICULTURAL POLICIES*

In this investigation estimated relationships of resource markets for United States agriculture are used in a simulation model to study resource demand and farm income under three conditions: (a) those actually prevailing, including the historic mix of agricultural policies, (b) with technical change in agriculture only half the rate realized, and (c) with a free market. The results indicate that compared with “actual” conditions the environment of slow technical change would have modest effects in slowing the demand for farm machinery and the migration of labor from agriculture. It also would result in greater net farm income in the 1960's. A free market would be accompanied by increased investment in farm machinery and a greater exodus of family and hired labor from agriculture. It also would result in a smaller farm building investment and a considerable reduction of farm income. Since economic conditions are so similar in both countries, the implications of these findings are related to Canadian agriculture on the assumption the same model would show the same outcomes for Canada. Dans cette étude, des rapports estimés des marchés des ressources pour ?agriculture des Etats-Uns sont employés dans un modéle de simulation afin ?étudier la demande des ressources et le revenu agricol net sous trois conditions: (a) celle qui régne réellement, incluant le mélange historique de politiques agricoles; (b) celle qui ne montre le changement technique de ?agriculture qti à la moitié du train realise; et (c) celle qui profite ?un marché libre. Les résultats indiquent que ?enrironnement du changement technique modéré, quand il est compareé avec les conditions réelles, produirait des effets modestes en diminuant la demande pour des machines agricoles et en ralentissant ?exode de la main-?oeuvre de ?agriculture. En outre, cet environment aurait pour résultat un revenu agricole net plus fort dans les années de 1060 à 1970. Vne marché libre serait accompangne de placements augmentés dans les machines agricoles et ?un plus grand exode de la main ?oeuvre familiale et salariée de ?agriculture. Aussi, ceci aboutirait à un investissement moindre dans la construction rurale et à une réduction considérable du revenu agricole. Puisque les conditions économiques des deux pays sont si ressemblantes, les implications de ces conclusions sont rattachées à?agriculture cana-dienne en supposant que le même modéle montrerait les mêmes résultats pour le Canada.     

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

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

Public Policy in the 21st Century: Is Prairie Agriculture Becoming Like Any Other Industry? Does it Matter?

The question addressed in this paper is whether Prairie agriculture has become "like any other industry". The implication is that a positive response would lead to the conclusion that it should therefore be treated "like any other industry" rather than being accorded the special status that it has enjoyed for more than a century
We show that, as net farm incomes have declined over the past 35 years, Prairie farmers have responded by seeking other (non-farm) sources of income. At the time of the 1996 census, net farm income accounted for only 31 percent of farm family income (down from 75 percent in 1967). By 1999, the contribution of net farm income was even lower than in 1996
In spite of the dwindling contribution of net farm income to farm family income, average farm family income in Saskatchewan has exceeded average provincial household income for all but two years between 1971 and 1998, Under these circumstances, it is necessary to ask why it is in the public interest to subsidize an activity which, in recent good times, produced 31 percent of the income of a subset of the population whose household incomes were 10–15 percent above the provincial average
Based on income levels, it is probably no longer necessary to accord farm families special status in the public policy arena. However, other policy considerations (immobility of resources, the role of agriculture in the rural economy, environmental considerations, food safety and security, for example) remain, differentiating agriculture from other industries     

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.     

Analysing Farm‐specific Payments for Norway using the Agrispace Model

Norway maintains a complex system of activity or type specific coupled payments which account for a large share of farm income. Most of the payment rates are negatively related to farm size and are higher in remote areas compared to central regions. We present and use a newly developed recursive‐dynamic multi‐commodity model (Agrispace) with CES production functions depicting regional farm clusters derived from the full farm population. Using this model, we simulate impacts of current and alternative subsidy policies on production, prices, input use, income and farm structural change. Mapping cluster results to each farm along with behavioural rules allows estimation of individual profits and farm exits. Our results indicate that, in the short run, the current policy regime seems to support the policy objective of maintaining a variety of farms in all parts of Norway. In the long run, farm structural change is less affected by a policy reform that leaves total support levels unchanged.     

Does participation in the conservation reserve program impact the economic well‐being of farm households?

This study uses U.S. farm household survey data to examine how participation in the Conservation Reserve Program (CRP) affects farm household economic well-being. Further, the study also examines the effects of CRP participation on farm household consumption, income, and imputed savings. In contrast to previous studies that assume the relationships are homogenous across the population, quantile regression is used to investigate the association between CRP participation across the entire distribution of farm household consumption and income. Empirical findings suggest that the effect of CRP participation on household economic well-being differs across the income and consumption distribution. For households in the lower percentiles of the distribution, the CRP participation is associated with an increase in household consumption, but a decrease in farm household income and savings. In contrast, farm households at the median and higher income and consumption quantiles, participation in CRP is associated with lower levels of household consumption and income, but with higher levels of savings.     

Technology choice and efficiency on Australian dairy farms*

Deregulation of the Australian dairy industry, specifically the removal of price subsidies to ‘market milk’, as well as ongoing drought in many dairy regions, has placed considerable pressure on farm cash income and a search for ways in which dairy farms can be made to operate more efficiently. Using traditional farm survey data and a unique biannual data set on farm technology use, this paper estimates a stochastic production frontier and technical efficiency model for dairy farms in New South Wales and Victoria, determining the relative importance of each input in dairy production, the effects of key technology variables on farm efficiency, and overall farm profiles based on the efficiency rankings of dairy producers. Results show that production exhibits constant returns to scale and although feed concentration and the number of cows milked at peak season matter, the key determinants of differences in dairy farm efficiency are the type of dairy shed used and the proportion of irrigated farm area. Overall farm profiles indicate that those in the ‘high efficiency group’ largely employ either rotary or swing‐over dairy shed technology and have almost three times the proportional amount of land under irrigation.     

China’s Agricultural Policy Transition: Impacts of Recent Reforms and Future Scenarios

This article reviews recent developments in China’s agricultural domestic support policy, especially the transition from taxing farmers and agriculture to providing direct subsidies to grain production and purchased inputs. A model‐based quantitative analysis on the effects of these policy changes is presented. Simulation results suggest that recent policy changes have achieved the declared policy goals of increasing grain production and boosting farm income. Much of the increase in grain production and farm income can be attributed to higher per unit return to arable land, land reallocation to grain production and extra agricultural employment triggered by the policy changes. Based on the assumption that China’s public assistance to agriculture and farmers will continue and rise, two hypothetical future scenarios are simulated. Using all the support permitted under WTO de minimis limits with existing instruments, China’s policy will increase grain production, change trade patterns seemingly contrary to China’s comparative advantage, increase rural employment and significantly increase farm income (by more than 12%). If, however, decoupled instruments are applied to raise China’s agricultural domestic support to the same level, China’s agricultural production and trade will remain unchanged, rural employment remain stable, but farm income will be increased by nearly 15%.     

Marginal Analysis of Income Mobility Effects by Income Source with an Application to the Agricultural Policy Mix

The Note makes novel use of a decomposition of the Shorrocks mobility index by income source to identify the impact on farm income mobility of a marginal change in each component of income. An empirical application shows that a revenue‐neutral change in the balance of agricultural protection between market‐based support and direct payments would not have reduced the variability of relative farm incomes in Scottish agriculture.     

Rural Population Growth, 1950–1990: The Roles of Human Capital, Industry Structure, and Government Policy

Human capital raises rural incomes, but this effect is swamped by higher returns to human capital in urban markets. This leads to "brain drain" from rural areas. Populations grow more rapidly in rural counties that have a diversified employment base. Farm population grows faster (or declines more slowly) in counties with relatively high farm income, and nonfarm populations grow faster in counties with relatively high nonfarm income. However, higher farm incomes lead to slower nonfarm population growth and vice versa. Rural county government services financed by local taxes or debt have neutral or negative effects on population growth.     

PORTUGAL ON THE BRINK OF EUROPE: THE CAP AND PORTUGUESE AGRICULTURE

Portuguese policy-makers assumed an active interest in agricultural sector development after the 1974 Revolution. However, the policy instruments used-output price supports, input subsidies, land market regulations, and agricultural credit programmes-have done little to facilitate technical or structural change in much of the sector. This pattern of development may have adverse medium-term impacts on agriculture, because for most commodities, accession to the CAP will substantially reduce farm profitability. If Portugal is to avoid sharp declines in income for a sector that is already relatively low in income terms, reform of factor market policies and investment in research and development are essential.