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Relationships between agricultural energy and farming indicators

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  • Martinho, V.J.P.D.

Abstract

Cutting costs in farms is the main concern for several stakeholders, specifically for farmers. Reducing energy costs allows for, at the very least, two relevant outcomes, one concerning increases in the net farm income and the other relating to the environment and the promotion of more sustainable farming and rural development. In turn, the agricultural sector may itself be a relevant source of renewable and clean energies. Considering these motivations, this research/study has intended to explore the concept of agricultural energy, highlighting the main insights from literature, and to stress the relationships between this concept and relevant farming indicators. The findings obtained may provide interesting support for the several related stakeholders, namely, policymakers, farmers and researchers. To achieve these objectives, literature available on scientific platforms was explored and statistical relationships were established, through econometric approaches (allowing for spatial effects), between structural characteristics from farms in the European Union. The findings reveal that the several instruments within the Common Agricultural Policy (CAP) should further address the relationships between financial support and sustainability. For example, it could be interesting to index the direct payments from the 1st CAP Pillar with farm indicators that consider dimensions related with the efficiency and savings in costs. In the current context, it is possible to increase the output and area with energy cost growths of 0.423 and 0.375% points, respectively, and increase the total crops output/ha growth and the utilised agricultural area with energy costs/ha growth of 0.243 and −0.225% points, respectively.

Suggested Citation

  • Martinho, V.J.P.D., 2020. "Relationships between agricultural energy and farming indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    • Handle: RePEc:eee:rensus:v:132:y:2020:i:c:s1364032120303877
    DOI: 10.1016/j.rser.2020.110096
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    as
    1. Wang, Xiuhong & Shen, Jianxiu & Zhang, Wei, 2014. "Emergy evaluation of agricultural sustainability of Northwest China before and after the grain-for-green policy," Energy Policy, Elsevier, vol. 67(C), pages 508-516.
    2. Hal W. Everett II, 1977. "Agricultural Energy Modeling: Discussion of Input-Output Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 59(5), pages 1079-1080.
    3. David E. Allen & Chialin Chang & Michael McAleer & Abhay K Singh, 2018. "A cointegration analysis of agricultural, energy and bio-fuel spot, and futures prices," Applied Economics, Taylor & Francis Journals, vol. 50(7), pages 804-823, February.
    4. Vlontzos, George & Niavis, Spyros & Manos, Basil, 2014. "A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 91-96.
    5. Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2013. "Liquidity commonality in commodities," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 11-20.
    6. Kraatz, Simone, 2012. "Energy intensity in livestock operations – Modeling of dairy farming systems in Germany," Agricultural Systems, Elsevier, vol. 110(C), pages 90-106.
    7. Mikkola, Hannu J. & Ahokas, Jukka, 2010. "Indirect energy input of agricultural machinery in bioenergy production," Renewable Energy, Elsevier, vol. 35(1), pages 23-28.
    8. A. P. Thirlwall, 2015. "Testing Kaldor’s Growth Laws across the Countries of Africa," Palgrave Studies in the History of Economic Thought, in: Essays on Keynesian and Kaldorian Economics, chapter 15, pages 339-351, Palgrave Macmillan.
    9. Breana Bennett & Mark Haggerty & Stephanie Welcomer & John Jemison, 2015. "Reliable Knowledge and Habits of the Mind: Factors Inhibiting and Facilitating Farmers’ Adaptations to Energy Constraints," Journal of Economic Issues, Taylor & Francis Journals, vol. 49(3), pages 669-690, July.
    10. Uri, Noel D., 1998. "Conservation tillage and the use of energy and other inputs in US agriculture," Energy Economics, Elsevier, vol. 20(4), pages 389-410, September.
    11. Jones, Donald W., 1991. "How urbanization affects energy-use in developing countries," Energy Policy, Elsevier, vol. 19(7), pages 621-630, September.
    12. Souhil Harchaoui & Petros Chatzimpiros, 2019. "Energy, Nitrogen, and Farm Surplus Transitions in Agriculture from Historical Data Modeling. France, 1882–2013," Journal of Industrial Ecology, Yale University, vol. 23(2), pages 412-425, April.
    13. Zaremba, Adam & Umar, Zaghum & Mikutowski, Mateusz, 2019. "Inflation hedging with commodities: A wavelet analysis of seven centuries worth of data," Economics Letters, Elsevier, vol. 181(C), pages 90-94.
    14. Schramski, J.R. & Jacobsen, K.L. & Smith, T.W. & Williams, M.A. & Thompson, T.M., 2013. "Energy as a potential systems-level indicator of sustainability in organic agriculture: Case study model of a diversified, organic vegetable production system," Ecological Modelling, Elsevier, vol. 267(C), pages 102-114.
    15. Josset, Laureline & Allaire, Maura & Hayek, Carolyn & Rising, James & Thomas, Chacko & Lall, Upmanu, 2019. "The U.S. water data gap: A survey of state-level water data platforms to inform the development of a national water portal," LSE Research Online Documents on Economics 100855, London School of Economics and Political Science, LSE Library.
    16. Berna Karali & Gabriel J. Power, 2013. "Short- and Long-Run Determinants of Commodity Price Volatility," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(3), pages 724-738.
    17. Souhil Harchaoui & Petros Chatzimpiros, 2018. "Can Agriculture Balance Its Energy Consumption and Continue to Produce Food? A Framework for Assessing Energy Neutrality Applied to French Agriculture," Sustainability, MDPI, vol. 10(12), pages 1-14, December.
    18. Mohamed, Mohamed A. & Tajik, Elham & Awwad, Emad Mahrous & El-Sherbeeny, Ahmed M. & Elmeligy, Mohammed A. & Ali, Ziad M., 2020. "A two-stage stochastic framework for effective management of multiple energy carriers," Energy, Elsevier, vol. 197(C).
    19. Fei, Rilong & Lin, Boqiang, 2017. "Estimates of energy demand and energy saving potential in China's agricultural sector," Energy, Elsevier, vol. 135(C), pages 865-875.
    20. Cao, Shuyan & Xie, Gaodi & Zhen, Lin, 2010. "Total embodied energy requirements and its decomposition in China's agricultural sector," Ecological Economics, Elsevier, vol. 69(7), pages 1396-1404, May.
    21. Chen, Jiandong & Cheng, Shulei & Song, Malin, 2018. "Changes in energy-related carbon dioxide emissions of the agricultural sector in China from 2005 to 2013," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 748-761.
    22. Kythreotou, Nicoletta & Tassou, Savvas A. & Florides, Georgios, 2011. "The contribution of direct energy use for livestock breeding to the greenhouse gases emissions of Cyprus," Energy, Elsevier, vol. 36(10), pages 6090-6097.
    23. Zhao, Rongqin & Liu, Ying & Tian, Mengmeng & Ding, Minglei & Cao, Lianhai & Zhang, Zhanping & Chuai, Xiaowei & Xiao, Liangang & Yao, Lunguang, 2018. "Impacts of water and land resources exploitation on agricultural carbon emissions: The water-land-energy-carbon nexus," Land Use Policy, Elsevier, vol. 72(C), pages 480-492.
    24. Fei, Rilong & Lin, Boqiang, 2016. "Energy efficiency and production technology heterogeneity in China's agricultural sector: A meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 25-34.
    25. Bojić, Sanja & Đatkov, Đorđe & Brcanov, Dejan & Georgijević, Milosav & Martinov, Milan, 2013. "Location allocation of solid biomass power plants: Case study of Vojvodina," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 769-775.
    26. Jabbar, Mohammad A., 1996. "Energy and the Evolution of Farming Systems: The Potential of Mixed Farming in the Moist Savannah of Sub-Saharan Africa," Research Reports 183010, International Livestock Research Institute.
    27. Heady, Earl O. & Dvoskin, Dan, 1977. "Agricultural Energy Modeling For Policy Purposes," 1977 AAEA-WAEA Joint Meeting, July 31-August 3, San Diego, California 283634, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    28. Wood, Richard & Lenzen, Manfred & Dey, Christopher & Lundie, Sven, 2006. "A comparative study of some environmental impacts of conventional and organic farming in Australia," Agricultural Systems, Elsevier, vol. 89(2-3), pages 324-348, September.
    29. Refsgaard, Karen & Halberg, Niels & Kristensen, Erik Steen, 1998. "Energy utilization in crop and dairy production in organic and conventional livestock production systems," Agricultural Systems, Elsevier, vol. 57(4), pages 599-630, August.
    30. Uri, Noel D., 1994. "The impact of measurement error in the data on estimates of the agricultural demand for electricity in the USA," Energy Economics, Elsevier, vol. 16(2), pages 121-131, April.
    31. Bakas, Dimitrios & Triantafyllou, Athanasios, 2019. "Volatility forecasting in commodity markets using macro uncertainty," Energy Economics, Elsevier, vol. 81(C), pages 79-94.
    32. Xiuhong Wang, 2016. "Changes in CO 2 Emissions Induced by Agricultural Inputs in China over 1991–2014," Sustainability, MDPI, vol. 8(5), pages 1-12, April.
    33. Widjaya, Elita R. & Chen, Guangnan & Bowtell, Les & Hills, Catherine, 2018. "Gasification of non-woody biomass: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 184-193.
    34. Earl O. Heady & Dan D. Dvoskin, 1977. "Agricultural Energy Modeling for Policy Purposes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 59(5), pages 1075-1078.
    35. Daniels, B.W. & Van Dril, A.W.N., 2007. "Save production: A bottom-up energy model for Dutch industry and agriculture," Energy Economics, Elsevier, vol. 29(4), pages 847-867, July.
    36. Qiu, Guo Yu & Zhang, Xiaonan & Yu, Xiaohui & Zou, Zhendong, 2018. "The increasing effects in energy and GHG emission caused by groundwater level declines in North China’s main food production plain," Agricultural Water Management, Elsevier, vol. 203(C), pages 138-150.
    37. Uri, Noel D., 1994. "Estimating the agricultural demand for electricity in the presence of measurement error in the data," Applied Energy, Elsevier, vol. 48(4), pages 363-384.
    38. Sebri, Maamar & Abid, Mehdi, 2012. "Energy use for economic growth: A trivariate analysis from Tunisian agriculture sector," Energy Policy, Elsevier, vol. 48(C), pages 711-716.
    39. Vernon R. Eidman, 1977. "Agricultural Energy Modeling: Discussion of Linear Programming Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 59(5), pages 1081-1082.
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    More about this item

    Keywords

    Bibliometric analysis; Literature review; Farm accountancy data network; Econometric approaches;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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