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TFP Bioeconomy Impact post Covid-19 on the agricultural economy

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  • C A Zuniga-Gonzalez

Abstract

Background: This research was focused on measuring the TFP bioeconomy post-Covid-19 in six regions of the world. Methods: The panel data was organized with FAO Statistics data. Linear programming with an enveloping data analysis (DEA) approach was used to measure the Malmquist TFP indices to determine the inter-annual productivity and technical efficiency changes by region. Results: The results show that the effect of Covid-19 on the bioeconomy productivity during the period 2012–2021 on average decreased by 11.6%. This effect was explained by the decomposition of the productivity change into the changes in technical efficiency. The workers decreased their efficiency by 11.7%. In the Northern American region, it decreased by 21.6%, in the Southern European region by 10.1, and in Western Europe by 11.7%. Conclusion: The results show a downward trend that was affected in the year 2019 by Covid-19, however, it was possible to recover in the following year. One of the conclusions of these results is the effect of the immediate strategies that the governments of the region implemented. This effect was a little slower in the North American, Southeastern, and Eastern European regions. Finally, it is concluded that the measures implemented by the governments in the studied regions had an increasing effect in conditions of variable scale returns. In other words, the companies that remained on a constant scale decreased.

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  • C A Zuniga-Gonzalez, 2023. "TFP Bioeconomy Impact post Covid-19 on the agricultural economy," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-18, November.
    • Handle: RePEc:plo:pone00:0288885
    DOI: 10.1371/journal.pone.0288885
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    1. Singh, Pritpal & Singh, Gurdeep & Sodhi, G.P.S. & Sharma, Sandeep, 2021. "Energy optimization in wheat establishment following rice residue management with Happy Seeder technology for reduced carbon footprints in north-western India," Energy, Elsevier, vol. 230(C).
    2. Altig, Dave & Baker, Scott & Barrero, Jose Maria & Bloom, Nicholas & Bunn, Philip & Chen, Scarlet & Davis, Steven J. & Leather, Julia & Meyer, Brent & Mihaylov, Emil & Mizen, Paul & Parker, Nicholas &, 2020. "Economic uncertainty before and during the COVID-19 pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    3. Shuai Wang & Cunyi Yang & Zhenghui Li, 2022. "Green Total Factor Productivity Growth: Policy-Guided or Market-Driven?," IJERPH, MDPI, vol. 19(17), pages 1-19, August.
    4. Barua, Suborna, 2020. "Understanding Coronanomics: The economic implications of the coronavirus (COVID-19) pandemic," MPRA Paper 99693, University Library of Munich, Germany.
    5. Sanzidur Rahman & Asif Reza Anik & Jaba Rani Sarker, 2022. "Climate, Environment and Socio-Economic Drivers of Global Agricultural Productivity Growth," Land, MDPI, vol. 11(4), pages 1-17, April.
    6. Yang Liu & Yanlin Yang & Huihui Li & Kaiyang Zhong, 2022. "Digital Economy Development, Industrial Structure Upgrading and Green Total Factor Productivity: Empirical Evidence from China’s Cities," IJERPH, MDPI, vol. 19(4), pages 1-23, February.
    7. Grosskopf, Shawna & Moutray, Chad, 2001. "Evaluating performance in Chicago public high schools in the wake of decentralization," Economics of Education Review, Elsevier, vol. 20(1), pages 1-14, February.
    8. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    9. Tévécia Ronzon & Susanne Iost & George Philippidis, 2022. "Has the European Union entered a bioeconomy transition? Combining an output-based approach with a shift-share analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8195-8217, June.
    10. Xiaoli Hao & Xinhui Wang & Haitao Wu & Yu Hao, 2023. "Path to sustainable development: Does digital economy matter in manufacturing green total factor productivity?," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(1), pages 360-378, February.
    11. Miguel Alves Pereira & Rui Cunha Marques, 2021. "Technical and Scale Efficiency of the Brazilian Municipalities’ Water and Sanitation Services: A Two-Stage Data Envelopment Analysis," Sustainability, MDPI, vol. 14(1), pages 1-17, December.
    12. Habtamu Alem, 2021. "A Metafrontier Analysis on the Performance of Grain-Producing Regions in Norway," Economies, MDPI, vol. 9(1), pages 1-10, February.
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