Measuring productivity differentials – An application to milk production in Nordic countries

The aim of this paper is to analyse the regional productivity differentials on dairy farms in Denmark, Finland and Sweden. Several methods have been suggested for analysing productivity differentials in agriculture between groups of farms or countries. Hayami [5] and Hayami and Ruttan [7] suggested the meta-production function approach. This idea has been further developed by Lau and Yotopoulos [9] and Fulginity and Perrin [13]. Battese and Rao [2] suggested the meta-frontier analysis for these comparisons. One of the advantages of meta-frontiers with respect to metaproduction functions is that they are able to separate technological differences from the differences in technical efficiency. Battese et al. [5] and O’Donnell et al. [16] have extended this idea and developed both parametric and nonparametric approaches. In this paper, we extend the metafrontier analysis to the concave nonparametric least squares estimation of the production function suggested by Kuosmanen [18,19]. In addition, we compare the results with the approach where the estimation of meta-frontier can be avoided. The reference can also be the maximum output providing technology that is the one that yields the maximum estimated output, given inputs [21]. In this case the estimation can be based either on average or frontier production functions. The farm level data is obtained from the EU’s Farm Accountancy Data Network data set for Denmark, Finland and Sweden. They cover 954 dairy farms in 2003. The results suggest that different method provide slightly different results but in all approaches productivity differentials are considerable in favour of Danish farms. In addition, the Danish technology is not only dominating at the mean but also at most of the data points.productivity, technical efficiency, meta-frontier, Productivity Analysis,

EFFICIENCY IN AGRICULTURAL PRODUCTION OF BIODIVERSITY: ORGANIC VS. CONVENTIONAL PRACTICES

Promotion of environmental sustainable farming practices is an important policy goal for the whole agricultural sector. However, when the efficiency of production is measured in practice, enhancement of environmental quality such as biodiversity and other environmental amenities does not seem to be recognized as a positive output produced by agriculture. Here, we include crop diversity index as an indicator of environmental output in a comparison of efficiency of conventional and organic crop farms. Non-parametric technical efficiency scores are estimated applying data envelopment analysis on a sample of Finnish crop farms for 1994 – 2002. The results show that in a pooled data set conventional crop farms are more technically efficient than organic farms when only crop output is considered. When taking crop diversity into account the difference between production techniques vanishes. In separate comparisons of conventional and organic farms, the average efficiencies of the two groups do not differ statistically significantly. Thus, the assumptions on the technology and reference sets are crucial with respect to the results of the comparison. This has important implications for policy evaluations when alternative farming technologies are compared.crop diversity, Shannon index, DDEA, technical efficiency, Environmental Economics and Policy, Farm Management, Research Methods/ Statistical Methods,

Learning in Organic Farming An Application on Finnish Dairy Farms

Organic farming technology may be relatively unknown to farmers at the time when they switch from conventional into organic farming. Therefore, experience gained over time and learning by doing may be important determinants in the efficiency of organic farming. It may also take time to reach the optimal nutrient stock of soil and optimal nutrient supply for arable crops under organic farming. Thus, efficiency of organic farming can either grow or decrease over time depending on the nature of the technology and the learning process. This paper estimates technical efficiency of organic farming and its development over time. We control for possible selection bias and regional heterogeneity when estimating a stochastic frontier distance functions for a sample of conventional and organic dairy farms in Finland. The results suggest that organic dairy farms are less technically efficient than conventional farms. Technical efficiency at first diminishes when the conversion towards organic production starts. After 6 years from the switch, technical efficiency starts to increase again. The estimates signal that the length of the conversion and learning process of organic farming is in average 6-7 years.technical efficiency, technical change, output distance function, SFA, Research and Development/Tech Change/Emerging Technologies, C23, D24, D83, O30, Q12,

A comparison of strategies for working capital management of listed food companies from Northern Europe

The research presents the application of fuzzy logic for synthetic evaluation of strategies for working capital management of twelve food companies from Northern Europe in 2005-2015. A set of financial ratios formed an aggregated indicator reflecting the complexity of relationships between the level and structure of current assets and liabilities of a firm. Based on the proposed indicator, four types of strategies for working capital management were identified and characterized in terms of risk and return preferences. Only a few companies from the sample demonstrated a direct orientation on liquidity or value within their strategies for working capital management. To retain flexibility in short-term financial management, most firms applied moderate policies for current assets and liabilities that helped them in maintaining liquidity and reducing the cost of financing. The integrity of the proposed method for the synthetic evaluation of working capital management makes it a convenient managerial tool suitable for use in firms operating in a turbulent business environment.Peer reviewe

Access to Microfinance: Does it Matter for Profit Efficiency Among Small Scale Rice Farmers in Bangladesh?

This paper measures profit efficiency and examines the effect of access to microfinance on the performance of rice firms in Bangladesh. An extended Cobb-Douglas stochastic frontier profit function was used to assess profit efficiency and profit loss of rice farmers in Bangladesh in a survey data of 360 farms throughout the 2008-2009 growing seasons. Model diagnostics reveal that serious selection bias exists that justifies the uses of sample selection model in stochastic frontier models. After effectively correcting for selectivity bias, the mean profit efficiency of the microfinance borrowers and non-borrowers were estimated at 68% and 52% respectively, thereby suggesting that a considerable share of profits were lost due to profit inefficiencies in rice production. The results from the inefficiency effect model show that households’ age, extension visits, off-farm income, region and the farm size are the significant determinants of inefficiency. Some indicative policy recommendations based on these findings have been suggested.Stochastic frontier function, Profit efficiency, Selection bias, Bangladesh, Microfinance, Agricultural Finance, Crop Production/Industries,

Consistent Aggregation of Generalized Sustainable Values from the Firm Level to Sectoral, Regional or Industry Levels

Peer reviewe

Dynamic stochastic analysis of the farm subsidy-efficiency link : evidence from France

The existing literature on the subsidy-efficiency nexus is almost exclusively based on static modelling and thus ignores the inter-temporal nature of production decisions. The present paper contributes to this literature by developing a dynamic stochastic frontier model, which is then estimated using a sample of French farms over the period 1992-2011. For comparison purposes, the static counterpart of the dynamic model is also estimated. The results indicate that, in the dynamic case as well as in the static one, public subsidies are negatively associated with farm technical efficiency. Nevertheless, these linkages are found to be weak, and they are much weaker when dynamic aspects are taken into account.Peer reviewe

Opportunity Costs of Providing Crop Diversity in Organic and Conventional Farming: Would Targeted Environmental Policies Make Economic Sense?

Targeted environmental policies for farmlands may improve the cost-efficiency of conservation programs if one can identify the farms that produce public goods, or environmental outputs, with the least cost. We derive shadow values of producing crop diversity on conventional and organic crop farms to examine their opportunity costs of conservation. Non-parametric distance functions are estimated by applying data envelopment analysis to a sample of Finnish crop farms for the period 1994 – 2002. Our results show that there is variation in the shadow values between farms and the technologies adopted. The extent of cost heterogeneity and farms’ potential for specialization in the production of environmental outputs determine whether voluntary programs such as auctions for conservation payments are economically reasonable

Opportunity Costs of Providing Crop Diversity in Organic and Conventional Farming

Targeted environmental policies for farmlands may improve the cost-efficiency of conservation programs if one can identify those farms that produce public goods with the least cost. We derive shadow values of producing crop diversity for a sample of Finnish conventional and organic crop farms in the period 1994-2002 in order to examine their opportunity costs of conservation. Our results of Data Envelopment Analysis show that there is variation in the shadow values between farms and between the technologies adopted. The degree of cost heterogeneity and farms’ potential for specialization in the production of environmental outputs determine whether voluntary programs such as auctions for conservation payments are economically reasonable