The Inefficiencies of Regionalised Milk Quota Trade

This paper estimates the inefficiencies associated with the regionalisation of the milk quota trade. An optimisation model is developed to estimate the economic value of quota. Quota values are aggregated to derive quota sale and purchase curves under two scenarios: first, where quotas can be traded nationally and second, where the trade of quota is regionally restricted. Quota trade is simulated and the consequent effects on supplier structure estimated. Through the derivation of sectoral cumulative cost curves it is possible to estimate the impact of regionalising quota trade on sector efficiency. The model is solved using National Farm Survey data from Ireland and the inefficiencies of regionalised quota trade in Ireland are estimated at €27 million. The paper concludes by discussing the implications of restricted quota trade, especially in the context of eventual quota removal.     

Do family farms really converge to a uniform size? The role of unobserved farm efficiency*

We analyse the growth of family farms in Israeli cooperative villages during a period of economic turmoil. We use instrumental variables to account for the endogeneity of initial farm size, and correct for selectivity as a result of farm survival. We also include a technical efficiency index, derived from the estimation of a stochastic frontier production model, as an explanatory variable. Our aim is to check whether ignoring efficiency could have been the reason for convergence results obtained elsewhere in the literature. We found that technical efficiency is an important determinant of farm growth, and that not controlling for technical efficiency could seriously bias the results. In particular, larger farms are found to grow faster over time, while without controlling for technical efficiency the farm growth process seemed to be independent of initial farm size. The increasing polarisation of farm sizes in Israel has ramifications for the inefficiencies induced by the historical quota system, for the political power of the farm sector and for the social stability of farm communities.     

Measuring progress in agricultural sustainability to support policy-making

The concept of sustainability is one of the forefront issues in discussions of the challenges facing global agriculture, given the mounting pressure to increase food production in both socially responsible and environmentally friendly ways. From the perspective of Irish agriculture, sustainable intensification is of particular relevance, given ambitious targets to increase milk production in the context of European Union (EU) milk quota removal in 2015. A series of farm-level sustainability indicators are developed here using the Teagasc National Farm Survey FADN (Farm Accountancy Data Network) data for Ireland from 2012. Three dimensions, reflecting the multifaceted nature of sustainability (environmental, economic and social) are considered. Given the environmental challenges inherent in the sustainable intensification of agriculture, it is encouraging to observe that the more intensive, top performing farms (in an economic sense) emit relatively less greenhouse gases when compared to their less intensive counterparts. Conversely, the better performing farms in economic terms tend to have a higher nitrogen surplus per hectare on average. This is consistent with their higher rates of production intensity, but poses a challenge in terms of sustainable intensification and expansion. That said this analysis demonstrates that the nitrogen use efficiency of milk production is positively correlated with economic performance, with more intensive farms producing relatively more milk per kilogram of nitrogen surplus. From the perspective of social sustainability, demographic traits also tend to be positively correlated with economic performance. Given a growing recognition of the need for interconnected policy in the area of sustainability, this research should help inform policy debates and provides a guide for the undertaking of similar assessments elsewhere.     

Farm size,relative efficiency and agrarian policy in Côte d'Ivoire: profit function analysis of rice farms

This paper examines the relative economic efficiency of small and large rice farms in Côte d'Ivoire using a profit function approach. No differences in the relative economic efficiency of small and large farms were found. This conclusion is robust under alternative model specifications. Agrarian reforms directed towards further concentration of landholding for large farms in Côte d'Ivoire cannot be justified based on economic efficiency. Results show that access to credit and use of modern rice varieties significantly increase profits. To improve technical efficiency of rice farms, an accelerated program to provide information, credit, improved seeds and other inputs is needed. When all the farms (i.e. large and small) are taken together, there is evidence of allocative inefficiency. Strategies are needed to remove such management related inefficiencies in rice production either through the development of a better market price information system or effective farmer-oriented technical training programs by rice extension workers.     

Gains and structural effects of exploiting scale-economies in Norwegian dairy production

In this paper, we present calculations of the economic gains in terms of reduced costs by exploiting scale‐economies in dairy production in Norway, and the effect this would have had on the number of farms. We also explore whether or not optimal scale and unexploited scale‐economies change over time due to scale‐augmenting technical change. The analysis is based on homothetic cost functions estimated by means of data for individual dairy farms for the period 1972–1996. For 1972, we find that, by full exploitation of scale‐economies, the costs could have been reduced by almost 40%, while the number of farms would have been reduced by more than 85%. The number of small farms has been substantially reduced in the period considered. This fact, combined with small scale‐augmenting technical change, implies that the gains and structural effects of exploiting scale‐economies have decreased over time. In 1996, costs could have been reduced by close to 30% by full exploitation of scale‐economies, while the number of farms would have been reduced by slightly more than 70%. Thus, both gains and structural effects are substantially less than in 1972. Nevertheless, the calculated gains for 1996 make almost 5 billion NOK. This corresponds almost exactly to the total public support to the dairy farms in 1996. The unexploited scale‐economies are largely due to the agricultural policy. Thus, a substantial share of the same can be considered as part of the‘price’ the Norwegian society has to pay for this policy. In addition, there are likely to be large hidden costs of this policy due in particular to the quota system and other direct production regulations. They imply that technical innovations and other efficiency‐improving investments requiring increased production to be profitable are not carried out. This is the more likely explanation for the extremely poor efficiency development in Norwegian dairy production in the period studied.     

The impact of capital transfer tax on agriculture a preliminary assessment

Abstract

This paper aims to measure and compare technical efficiencies in the England and Wales dairy sector from stochastic production functions in the immediate post‐quota period. Milk Marketing Board data for a stratified random sample of dairy farms for 1984/85, 1985/86 and 1986/87 are used. The results show that average levels of efficiency have initially fallen and then stabilized over this period. Moreover, there is a high degree of correlation between the rankings of the efficiency measures.     

Scale Economies,Technical Efficiency,and the Sources of Total Factor Productivity Growth of Quebec Dairy Farms

Canada's average cost for milk production is among the highest in the world. This paper focuses on specific potential causes by estimating economies of scale and technical efficiency for a panel of Quebec dairy farms that spans the 2001–10 period. Additionally, this paper investigates the sources of total factor productivity growth. The stochastic frontier analysis, based on an input‐distance function, is used to estimate returns to scale relationships across dairy farms. The results show that there is significant economies scale to be exploited and that cost of production could also be reduced by improving technical efficiency. Accordingly, the paper indicates that input‐mix effect is the main source of total factor productivity growth. The results have important implications for Canada's supply management policy, and more specifically for the trading of production quota between dairy farmers, as well as for the delivery of targeted extension services.     

Interprovincial Reallocation of Market Sharing Quota for Industrial Milk

This paper examines allocations of industrial milk quota across provinces in Canada under two hypothetical scenarios. The study focuses on the case where considerable reallocation of production occurs across farms and provinces due to changes in the distribution of quota holdings. The allocations are determined using linear programming (LP) analysis, where the objective of the optimization problem is to minimize the delivered cost of products such as cheese, butter, ice cream, and yogurt. The LP model seeks to meet provincial targets for domestic disappearance on a milk-equivalent basis in the short to medium term, where limits are imposed on the maximum achievable growth of production and processing capacity in any one I he conclusions are that reallocation of existing quota across farms and provinces has a potential to reduce considerably the costs of industrial milk production and the cost of transporting manufactured products.     

Price Ceilings on Milk Production Quota Values: Future or Folly?

Since the inception of supply management in Canada during the 1970s, milk production quota has been used to regulate output and participation in the dairy industry. In recent years, milk quota values have increased dramatically, almost tripling in value since the mid 1980s. This led to the Dairy Farmers of Ontario intervening on the milk production quota exchange on two occasions: first, in November 2006 with a progressive transfer assessment and then in July 2009, replacing the former policy with a firm price ceiling—fixing the unit price of quota at $25,000. These policies represent a significant redistribution of economic benefits from milk producers selling their quota to those remaining in the industry. The objective of this study is to first explore the reasons for the increase in production quota values; and second, to assess the welfare and distributional effects of each of the two quota policy schemes. Our results suggest that the increase in quota values were driven by basic economic factors and that the efficiency losses from intervention in the quota exchange are nontrivial. We conclude by suggesting there are several alternative policy options that could minimize efficiency losses while moderating the escalation in quota values. Depuis la mise en place du système de gestion de l’offre au Canada dans les années 1970, les quotas laitiers sont utilisés pour régulariser la production et la participation dans l’industrie laitière. Au cours des dernières années, la valeur des quotas laitiers a fait un bond considérable et a pratiquement triplé depuis le milieu des années 1980. Cette situation a amené la Dairy Farmers of Ontario à intervenir à deux reprises dans le système d’échange de quotas laitiers : en novembre 2006, en imposant l’établissement d’un transfert progressif et en juillet 2009, en remplaçant la politique précédente par l’établissement d’un prix plafond ferme fixéà 25 000 $. Ces politiques permettent une importante redistribution des avantages économiques lorsque des producteurs de lait vendent leurs quotas à des producteurs qui demeurent dans le secteur. La présente étude visait d’abord à examiner les raisons qui sous‐tendent l’augmentation de la valeur des quotas de production et ensuite àévaluer le bien‐être et les effets distributifs de chaque plan de quotas. Les résultats de notre étude autorisent à penser que l’augmentation de la valeur des quotas a été motivée par des facteurs économiques fondamentaux et que les pertes d’efficacité découlant de l’intervention dans les échanges de quotas n’étaient pas sans importance. En conclusion, nous estimons qu’il existe plusieurs politiques de rechange qui pourraient minimiser les pertes d’efficacité tout en modérant l’escalade de la valeur des quotas.     

Impacts of Norwegian Milk Quotas on Output Growth: A Modified Distance Function Approach

Quota regulations that prevent output expansion of farms and reallocation of output between farms can cause lower growth in output and productivity. The aim of this study was to explain the output growth rate of Norwegian dairy farms since 1976, and to decompose it into output, input, socioeconomic and technical change components. Instead of using the standard distance function approach for multi‐output technologies, we use a growth rate formulation, which automatically removes the farm‐specific effects. This formulation also helps to impose non‐negativity constraints on marginal products of inputs (input elasticities), which are often violated for many observations, especially when flexible functional forms are used. The farm‐level panel data cover three periods: before the quota scheme was introduced (1976–1982); the period with the most output‐restricting quota scheme (1983–1996); and the period with a more flexible quota scheme (from 1997 onwards). Results show that the milk quota regulations had a significant constraining effect on output growth, in particular on milk output in the period 1983–1996. Furthermore, the output mix has shifted towards meat production for the average farm. What emerges from this study is that output growth and technical change are negatively influenced by policy aims where productive performance has not been the primary objective, and that there is scope for increased farm growth if the quota regime is liberalised.     

‘Good’ farm management employment: Emerging values in the contemporary Irish dairy sector

The number of Irish dairy farms with herds greater than 100 cows has increased from 4.5 % in 2005 to 23 % in 2016. The abolition of the dairy quota in 2015 has led to predictions that this trend will continue and that an additional 6000 people will be required to work on dairy farms by 2025. Ownership of farms is esteemed, with farm employment perceived as a poor second option, so it is necessary to identify possible routes towards creating 'good' farm employment relationships. This paper explores the social, cultural and economic values of employers and employees in the context of early experiences of farm employment in post-quota Ireland. Using narrative analysis, this study found that employees gained esteem and pride from acquiring managerial responsibilities and receiving recognition for their abilities and accomplishments from their employers. Greater social recognition of employ’ abilities by peer groups and in networks (social capital) cemented ‘good employee’ status. Employers, in a context of unprecedented dairy production expansion, emphasised the need for and demonstrated changing of power structures to open up the farm to new forms of influence. However, employers’ reflexivity in support of employment relationships was undermined overall by what the management literature calls a weak ‘rewards system’ for employees. Without the supportive scaffolding of a formalised rewards system, relational gestures of responsibility-devolution and employ’ appreciation of employees may be insufficient to sustain quality farm management employment in the long term. Inevitably, this diminishes the attractiveness of farm employment, limiting the drawing of talent not only into farm employment but into associated capacity-building programmes.     

Economic versus environmental improvement potentials of Danish pig farms

This article demonstrates how economic and environmental improvement potentials of Danish pig farms can be estimated using Data envelopment analysis (DEA). To avoid some of the problems associated with the definition of undesirable outputs, environmental variables are included as nutrients applied with manure and nutrients removed with the crops. These environmental variables are combined with a series of economic variables, including the costs of fertilizer. Furthermore, subvector efficiency and a two‐step analysis are used in order to consider economic and environmental (technical) efficiency separately. The empirical results show considerable improvement potentials, especially on the environmental variables. Sensitivity studies validate that these results are robust to possible uncertainties in the measurement of the environmental variables.     

Quota prices as indicators of comparative advantage in supply‐managed industries

The Canadian dairy, egg, broiler, and turkey industries operate under supply management, a policy regime that sets product prices and allocates production among provinces and ultimately among farms through quotas. The Canadian Farm Products Agencies Act requires that comparative advantage be used to guide the allocation of new quota when increases in consumer demand necessitate increased production. This requirement, however, has not been met in practice. We develop a proposal by Meilke to use quota prices as measures of comparative advantage. We evaluate the quota price approach and other proposed methods, from a Hayekian and Coasean market process perspective. We conclude that quota prices offer an economically justifiable indicator of provincial comparative advantage. We develop an individual‐level general equilibrium model of quota exchange to illustrate the informational content of quota prices as indicators of comparative advantage. We also discuss potential practical challenges of using quota prices as indicators of comparative advantage.     

Analysis of the technical efficiency of state rubber farms in Vietnam

This study entails an analysis of the technical efficiency of natural rubber production by state farms in Vietnam. A time-varying stochastic frontier production function model for unbalanced data is estimated for 33 farms. Individual farm technical efficiencies are reported and discussed. One of the main results concerns the bimodal distribution of technical efficiency indices. A few farms operate near the production frontier while the bulk operate well away from the frontier. Some implications are drawn from the results as a guide to future policy research work in the rubber industry in light of recent moves by the Vietnamese government towards economic reform.     

The trade-offs between economic efficiency and job creation in olive grove smallholdings

Cooperation among farmers is an effective alternative to reduce production costs in smallholdings of traditional olive groves and increase their low profitability. However, an increase in efficiency reduces working hours and the labour required for the management of farms. This fact can lead to negative effects in rural areas, especially considering the importance of the social aspect of the crop. Therefore, to contribute to the global discussion on the transition towards more sustainable farming, it is important to know, ex ante, what level of employment is generated by olive groves and what could be lost under more competitive and efficient scenarios. The purpose of the work is to quantify the expected impact on employment by the implementation of cooperative management methods in order to generate true and accurate information that can be used in the design of future policies that aim to increase the economic profitability of small olive farms. The results make clear that this way of managing farms, by increasing the efficiency of agricultural work, has a significant negative impact on employment. However, this management formula does encourage the professionalisation of the sector by generating quality employment, in addition to contributing to the preservation of small farms and the socio-cultural and territorial benefits they generate.     

Technology and efficiency in a panel of Italian dairy farms: an SGM restricted cost function approach

This article employs a short‐term specification of the symmetric generalised McFadden (SGM) cost function capable of accommodating quasi‐fixed factors and variable returns. Temporary equilibrium and scale economies are investigated while maintaining the consistency of the estimated model with microeconomic theory and approximation properties. It also makes use of a two‐step procedure to estimate first the technology parameters and then time‐varying efficiency at farm level. No distributional assumptions are required on efficiency as we consider a fixed effect model. A balanced panel of Italian dairy farms during the years from 1980 to 1992 serves as the case study. The results suggest a rigid productive structure during the pre‐ and post‐quota period. Moreover, Italian milk producers are found to exhibit considerable excess capacity and rather low input technical efficiency.     

Determinants of farm diversification in the Netherlands

Farm diversification has been prominently supported by agricultural policy makers aiming to support rural development. To increase the understanding of determinants influencing diversification and hence to increase the efficiency of policies aiming to support farm diversification this paper presents the results of an analysis of diversification determinants. The research investigates Dutch farms diversification strategies using Farm Structural Survey (FSS) data of 2011 including 70,392 farms. The study uses a binary logit model to determine the characteristics influencing the diversification decision in general. Furthermore, an in-depth analysis for six diversification strategies was conducted. Additionally the study categorised the specific diversification activities in order to estimate a multinomial probit model, analysing three choice categories simultaneously. This enables us to compare determinants of farm diversification in general with determinants of specific activities. The analysis includes socio- demographic, economic and geophysical farm characteristics assumed to influence the diversification decision. Even though diversification is largely influenced by similar determinants, we find differences that are most pronounced for the adoption of nature conservation strategies. Consequently, it is important for policy makers to target policies at specific diversification activities in order to increase efficiency.     

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.     

Cost Efficiency for Alberta and Ontario Dairy Farms: An Interregional Comparison

In this study, two non-homothetic translog stochastic meta-frontier cost functions—with and without local concavity imposed—are estimated using a nonlinear maximum likelihood estimation procedure to compare the cost efficiency of Alberta and Ontario dairy farms for the period 1984–96. The resulting cost efficiency estimates are not very sensitive to whether or not curvature is imposed. In contrast, the properties of the cost and input demand functions (e.g., elasticities) are sensitive to imposition of local concavity during estimation. The implication is that if an inappropriate model that does not satisfy the properties required by the economic theory is used, the estimated input demand functions may not be reliable. Average cost efficiency for the pooled sample, with local concavity imposed, is approximately 89%. This suggests some potential for improved performance in the sector. The results also suggest that Ontario dairy farms may be more cost efficient than Alberta dairy farms, but the statistical evidence is inconclusive.     

Environmental efficiency and the impact of regulation in dryland organic vine production

Organic agriculture figures prominently in the policies adopted by the EU to improve the environmental impact of agriculture. It may also potentially provide other benefits such as high-quality, health-enhancing food products and advancements in rural development. Recent years have brought new research to assess the environmental and economic implications of organic conversion. Economic efficiency comparisons between organic and conventional farms have been extended to include environmental performance. The inclusion of this variable in efficiency analysis may be useful when assessing the potential impact of suggestions to improve environmental regulations and policies. This paper applies the environmental efficiency model to the analysis of different technologies and calculates productivity and efficiency with and without environmental impacts. In the empirical part of the paper Data Envelopment Analysis (DEA) and bootstrap techniques are applied to detect and measure differences between organic and conventional agriculture aggregate efficiency and productivity in a sample of vineyard farms operating in semiarid, non-irrigated conditions in Navarre (Spain), taking farms’ nitrogen surplus and pesticide toxicity indicators to consideration. The results for these particular agronomic conditions suggest that organic agriculture is more environmentally efficient than conventional agriculture in dryland farming, in that it achieves a more favorable production to environmental impact ratio. Nevertheless, conversion to organic production methods for extensive vine cultivation under arid conditions does not guarantee substantial environmental gains, since the organic farms in our sample do not display inferior levels of pollution emissions per unit input as extensive conventional production. The overall environmental efficiency of organic farming is largely attributable to the fact that organic farms come closer to the frontier of their own technology. We find no significant technological differences in environmental productivity, however. In terms of policy implications, these findings suggest that the tightening of specific environmental restrictions in organic standards should involve consideration of technological differences in environmental productivity between organic and other alternative technologies. If organic technology is less productive, more restrictive regulation could undermine the economic viability of farms, and thus undermine the other benefits of organic farming. The results also indicate that, at the local level, it could be convenient to address part of organic subsidies to further improvements in the control of pollution from fertilizers and pesticides.