TFP Bioeconomy Impact post Covid-19 on the agricultural economy.
<h4>Background</h4>This research was focused on measuring the TFP bioeconomy post-Covid-19 in six regions of the world.<h4>Methods</h4>The panel data was organized with FAO Statistics data. Linear programming with an enveloping data analysis (DEA) approach was used to measure...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0288885 |
| _version_ | 1797394651825569792 |
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| author | C A Zuniga-Gonzalez |
| author_facet | C A Zuniga-Gonzalez |
| author_sort | C A Zuniga-Gonzalez |
| collection | DOAJ |
| description | <h4>Background</h4>This research was focused on measuring the TFP bioeconomy post-Covid-19 in six regions of the world.<h4>Methods</h4>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.<h4>Results</h4>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%.<h4>Conclusion</h4>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. |
| first_indexed | 2024-03-09T00:22:52Z |
| format | Article |
| id | doaj.art-fc73f79bed48401f8f1a961b088eaea0 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-03-09T00:22:52Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-fc73f79bed48401f8f1a961b088eaea02023-12-12T05:33:53ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-011811e028888510.1371/journal.pone.0288885TFP Bioeconomy Impact post Covid-19 on the agricultural economy.C A Zuniga-Gonzalez<h4>Background</h4>This research was focused on measuring the TFP bioeconomy post-Covid-19 in six regions of the world.<h4>Methods</h4>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.<h4>Results</h4>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%.<h4>Conclusion</h4>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.https://doi.org/10.1371/journal.pone.0288885 |
| spellingShingle | C A Zuniga-Gonzalez TFP Bioeconomy Impact post Covid-19 on the agricultural economy. PLoS ONE |
| title | TFP Bioeconomy Impact post Covid-19 on the agricultural economy. |
| title_full | TFP Bioeconomy Impact post Covid-19 on the agricultural economy. |
| title_fullStr | TFP Bioeconomy Impact post Covid-19 on the agricultural economy. |
| title_full_unstemmed | TFP Bioeconomy Impact post Covid-19 on the agricultural economy. |
| title_short | TFP Bioeconomy Impact post Covid-19 on the agricultural economy. |
| title_sort | tfp bioeconomy impact post covid 19 on the agricultural economy |
| url | https://doi.org/10.1371/journal.pone.0288885 |
| work_keys_str_mv | AT cazunigagonzalez tfpbioeconomyimpactpostcovid19ontheagriculturaleconomy |