Efficient Use of Energy Resources on French Farms: An Analysis through Technical Efficiency

Ghali, Mohamed; Latruffe, Laure; Daniel, Karine

doi:10.3390/en9080601

Cited by 15 publications

(10 citation statements)

References 34 publications

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“…Their interpretation is meaningful both for stakeholders and policy makers in order to take final decisions, while from analyst's perspective, it can be signified which slacks have major or minor importance. Assessment of French diary sector according to their energy use, has resulted in a positive relation between subsidies and energy use slacks, meaning that larger farms have higher amounts of exploited energy, than the smaller ones proportionally [22]. This is an applicable example of slacks contribution in energy use minimization on the farm level, but also indicates potential policy reformation for French livestock sector.…”

Section: Energymentioning

confidence: 88%

Ranking EU Agricultural Sectors under the Prism of Alternative Widths on Window DEA

2021

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Providing food security while preserving natural resources and reducing the use of production factors (land, labor, and capital), is a critical challenge for EU agricultural sectors in the 21st century. Sustainable Development goals adoption has increased the need for eliminating Greenhouse gas emissions across all EU sectors, while production should remain stable or even increase. For this purpose, Window Data Envelopment Analysis (DEA) has been selected as a benchmarking technique, in order to assess input use efficiency of agricultural sectors of EU countries for the 2005–2019 period. Moreover, three-year projections (until 2022) have been calculated in order to acquire future efficiency scores. Emphasis has been given on the selection of alternative window widths, examining their influence on calculating efficiency scores for both projected and actual dataset. From a methodological point of view, this paper aims to highlight the assumption of zero technological change within Window DEA frames and present their differences. At the same time, results indicate that Estonia (1.000), the Netherlands (0.999) and Slovenia (0.999) are the most efficient countries in terms of input use efficiency, while Finland, UK, and Hungary (0.670, 0.755 and 0.771) score the least. Countries of central Europe (Hungary, Czech Rep., Croatia, Slovakia, and Austria) should redesign their agricultural strategies, so as to achieve the nine objectives of the upcoming CAP (2021–2027).

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Section: Energymentioning

confidence: 88%

Ranking EU Agricultural Sectors under the Prism of Alternative Widths on Window DEA

2021

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“…In research and policymaking, technical development and modern technologies used in agriculture should not be overlooked One of the methods of assessing effectiveness is Data Envelopment Analysis (DEA). Using this method, Ghali et al [63] assessed the efficiency of the use of energy resources in French farms. Results show that disentangling energy resources from the rest of intermediate consumption highlights energy use excess, which is masked when considering intermediate consumption as a whole.…”

Section: Discussionmentioning

confidence: 99%

Economic and Energy Efficiency of Farms in Poland

et al. 2021

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Climate change and negative environmental effects are results of a simplified understanding of management processes, i.e., assuming economic effects as the basis for development, without taking into account external costs. Economically efficient facilities are not always environmentally efficient. Due to the existing conflict of economic and environmental goals, it seems necessary to look for measures that would include both economic and environmental elements in their structure. The above doubts were the main reasons for undertaking this research. One of the important sectors of the economy accepted for research, where energy is an essential factor of production, is agriculture. Agricultural production is very diversified both in terms of inputs and final products. Depending on the production direction, the processes of conversion of energy accumulated in inputs into energy accumulated in commodity products have different natures and relationships. Taking into account the importance of agriculture in the national economy and the current environmental needs of the world, the types of farms generating energy surplus and those in which the surplus is the least cost-consuming were indicated. The research used the economic and energy efficiency index, which makes it possible to jointly assess technical and economic efficiency. Assuming the need to produce food with low energy consumption and a positive energy balance, it is reasonable to develop a support system for those farms showing the highest economic and energy efficiency indicators.

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“…Moreover, Tian et al [52] used a slacks-based DEA model in order to incorporate undesirable agricultural emissions in the efficiency evaluation of rice farmers of China. The slacks of energy inputs have been also assessed by [53] within the technical efficiency measurement of French farms. Finally, Vlontzos et al [35] used Window DEA to assess the longitudinal technical efficiency of EU countries taking into consideration their GHG emissions.…”

Section: Dea Applications On Agricultural Sectormentioning

confidence: 99%

Testing for Environmental Kuznets Curve in the EU Agricultural Sector through an Eco-(in)Efficiency Index

2017

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Studies on agricultural production practices advance within international literature and new methods are proposed in order to assess the agricultural sustainability, either at farm or macro level. The present paper builds on these advancements and develops a synthetic Eco-(in)efficiency index by employing a directional distance function-data envelopment analysis (DEA) model. This index is used in order to assess the sustainability of the EU agricultural sector for the period 1999-2012 on a country level. Furthermore, Eco-(in)efficiency, together with the energy use and greenhouse gas (GHG) emissions are regressed on the gross domestic product (GDP) of EU countries, in order to check for any environmental Kuznets curve relationship existence. Results signify that efficiency improvements are possible, both towards output development and GHG emissions reduction. In addition, the potential of each country in adopting more sustainable production practices is not totally connected with its economic development, as Eco-(in)efficiency and GDP levels of EU countries seem to be linked with an N-Shaped curve.

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Efficient Use of Energy Resources on French Farms: An Analysis through Technical Efficiency

Cited by 15 publications

References 34 publications

Ranking EU Agricultural Sectors under the Prism of Alternative Widths on Window DEA

Ranking EU Agricultural Sectors under the Prism of Alternative Widths on Window DEA

Economic and Energy Efficiency of Farms in Poland

Testing for Environmental Kuznets Curve in the EU Agricultural Sector through an Eco-(in)Efficiency Index

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