The effect of total factor productivity of forestry industry on CO2 emissions: a spatial econometric analysis of China

Abstract Forestry plays an essential role in reducing CO2 emissions and promoting green and sustainable development. This paper estimates the CO2 emissions of 30 provinces in China from 2008 to 2017, and uses Global DEA-Malmquist to measure the total factor productivity of the forestry industry and...

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Autores principales:	Shen Zhong, Hongli Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5203297b3577401c897841a05a7e2bbb
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spelling	oai:doaj.org-article:5203297b3577401c897841a05a7e2bbb2021-12-02T16:15:06ZThe effect of total factor productivity of forestry industry on CO2 emissions: a spatial econometric analysis of China10.1038/s41598-021-93770-z2045-2322https://doaj.org/article/5203297b3577401c897841a05a7e2bbb2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93770-zhttps://doaj.org/toc/2045-2322Abstract Forestry plays an essential role in reducing CO2 emissions and promoting green and sustainable development. This paper estimates the CO2 emissions of 30 provinces in China from 2008 to 2017, and uses Global DEA-Malmquist to measure the total factor productivity of the forestry industry and its decomposition index. On this basis, by constructing a spatial econometric model, this paper aims to empirically study the impact of forestry industry's total factor productivity and its decomposition index on CO2 emissions, and further analyze its direct, indirect and total effects. The study finds that the impact of forestry industry's total factor productivity on CO2 emissions shows an "inverted U-shaped" curve and the inflection point is 0.9395. The spatial spillover effect of CO2 emissions is significantly negative. The increase of CO2 emissions in adjacent areas will provide a "negative case" for the region, so that the region can better address its own energy conservation and emission reduction goals. TFP of forestry industry also has positive spatial spillover effect. However, considering the particularity of forestry industry, this effect is not very significant. For other factors, such as foreign direct investment, urbanization level, industrial structure and technology market turnover will also significantly affect regional CO2 emissions.Shen ZhongHongli WangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-21 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Shen Zhong Hongli Wang The effect of total factor productivity of forestry industry on CO2 emissions: a spatial econometric analysis of China
description	Abstract Forestry plays an essential role in reducing CO2 emissions and promoting green and sustainable development. This paper estimates the CO2 emissions of 30 provinces in China from 2008 to 2017, and uses Global DEA-Malmquist to measure the total factor productivity of the forestry industry and its decomposition index. On this basis, by constructing a spatial econometric model, this paper aims to empirically study the impact of forestry industry's total factor productivity and its decomposition index on CO2 emissions, and further analyze its direct, indirect and total effects. The study finds that the impact of forestry industry's total factor productivity on CO2 emissions shows an "inverted U-shaped" curve and the inflection point is 0.9395. The spatial spillover effect of CO2 emissions is significantly negative. The increase of CO2 emissions in adjacent areas will provide a "negative case" for the region, so that the region can better address its own energy conservation and emission reduction goals. TFP of forestry industry also has positive spatial spillover effect. However, considering the particularity of forestry industry, this effect is not very significant. For other factors, such as foreign direct investment, urbanization level, industrial structure and technology market turnover will also significantly affect regional CO2 emissions.
format	article
author	Shen Zhong Hongli Wang
author_facet	Shen Zhong Hongli Wang
author_sort	Shen Zhong
title	The effect of total factor productivity of forestry industry on CO2 emissions: a spatial econometric analysis of China
title_short	The effect of total factor productivity of forestry industry on CO2 emissions: a spatial econometric analysis of China
title_full	The effect of total factor productivity of forestry industry on CO2 emissions: a spatial econometric analysis of China
title_fullStr	The effect of total factor productivity of forestry industry on CO2 emissions: a spatial econometric analysis of China
title_full_unstemmed	The effect of total factor productivity of forestry industry on CO2 emissions: a spatial econometric analysis of China
title_sort	effect of total factor productivity of forestry industry on co2 emissions: a spatial econometric analysis of china
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/5203297b3577401c897841a05a7e2bbb
work_keys_str_mv	AT shenzhong theeffectoftotalfactorproductivityofforestryindustryonco2emissionsaspatialeconometricanalysisofchina AT hongliwang theeffectoftotalfactorproductivityofforestryindustryonco2emissionsaspatialeconometricanalysisofchina AT shenzhong effectoftotalfactorproductivityofforestryindustryonco2emissionsaspatialeconometricanalysisofchina AT hongliwang effectoftotalfactorproductivityofforestryindustryonco2emissionsaspatialeconometricanalysisofchina
_version_	1718384289856356352

The effect of total factor productivity of forestry industry on CO2 emissions: a spatial econometric analysis of China

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