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The Productivity-environment Nexus At The Farm Level. The Case Of Carbon Footprint Of Lombardy FADN Farms

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  • Baldoni, Edoardo
  • Coderoni, Silvia
  • Esposti, Roberto

Abstract

This paper aims to assess whether and to what extent the farm-level productivity performance (measured by Total Factor Productivity, TFP) affects the farm-level environmental performance. In particular, the attention focuses on GHG emissions expressed by the farm’s Carbon Footprint (CF). The relationship occurring between these two performance indicators is investigated on a panel of Lombardy farms observed from 2008 to 2013. Once the TFP and the CF have been measured using farm-level data, a dynamic panel model is specified and estimated (via GMM estimation). The dynamic specification allows to take the time dependence of TFP into account while a polynomial form and group-specific effects allow for a specific TFP-CF nexus across heterogeneous farms in terms of size and specialization. Results confirm that a TFP-CF nexus exists but it may significantly differ and also be conflicting across farm typologies.

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  • Baldoni, Edoardo & Coderoni, Silvia & Esposti, Roberto, 2017. "The Productivity-environment Nexus At The Farm Level. The Case Of Carbon Footprint Of Lombardy FADN Farms," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260895, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae17:260895
    DOI: 10.22004/ag.econ.260895
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    Cited by:

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    2. Christian Stetter & Philipp Mennig & Johannes Sauer, 2022. "Using Machine Learning to Identify Heterogeneous Impacts of Agri-Environment Schemes in the EU: A Case Study [The impact of agri-environmental schemes on farm performance in five EU member States: ," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(4), pages 723-759.
    3. Edoardo Baldoni & Roberto Esposti, 2018. "Agricultural Productivity in Space - An econometric assessment on Italian farm-level data," Working Papers 428, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Uehleke, Reinhard & Petrick, Martin & Hüttel, Silke, 2022. "Evaluations of agri-environmental schemes based on observational farm data: The importance of covariate selection," Land Use Policy, Elsevier, vol. 114(C).
    5. Xiaocang Xu & Xiuquan Huang & Jun Huang & Xin Gao & Linhong Chen, 2019. "Spatial-Temporal Characteristics of Agriculture Green Total Factor Productivity in China, 1998–2016: Based on More Sophisticated Calculations of Carbon Emissions," IJERPH, MDPI, vol. 16(20), pages 1-16, October.
    6. Yu Mao & Yonglin Li & Deyi Xu & Yaqi Wu & Jinhua Cheng, 2022. "Spatial-Temporal Evolution of Total Factor Productivity in Logistics Industry of the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    7. Maurizio Canavari & Silvia Coderoni, 2020. "Consumer stated preferences for dairy products with carbon footprint labels in Italy," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 8(1), pages 1-16, December.
    8. Piotr Gołasa & Marcin Wysokiński & Wioletta Bieńkowska-Gołasa & Piotr Gradziuk & Magdalena Golonko & Barbara Gradziuk & Agnieszka Siedlecka & Arkadiusz Gromada, 2021. "Sources of Greenhouse Gas Emissions in Agriculture, with Particular Emphasis on Emissions from Energy Used," Energies, MDPI, vol. 14(13), pages 1-20, June.
    9. Coderoni, Silvia & Esposti, Roberto, 2017. "CAP Payments And Agricultural GHG Emissions In Italy. A Farm-level Assessment," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260905, European Association of Agricultural Economists.
    10. Guido M. Bazzani & Giuliano Vitali & Concetta Cardillo & Maurizio Canavari, 2021. "Using FADN Data to Estimate CO 2 Abatement Costs from Italian Arable Crops," Sustainability, MDPI, vol. 13(9), pages 1-20, May.

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