Path mechanism and spatial spillover effect of green technology innovation on agricultural CO2 emission intensity: A case study in Jiangsu Province, China
Green technology innovation (GTI) is one of the most important factors influencing agricultural carbon emission intensity (ACEI). Various studies have explored the impact of GTI on ACEI, but the path mechanism has not been fully explained. This study incorporates GTI and ACEI into the constant elast...
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Elsevier
2023-12-01
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X2301289X |
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author | Jing Rong Jun Hong Quan Guo Zhou Fang Shikun Chen |
author_facet | Jing Rong Jun Hong Quan Guo Zhou Fang Shikun Chen |
author_sort | Jing Rong |
collection | DOAJ |
description | Green technology innovation (GTI) is one of the most important factors influencing agricultural carbon emission intensity (ACEI). Various studies have explored the impact of GTI on ACEI, but the path mechanism has not been fully explained. This study incorporates GTI and ACEI into the constant elasticity of substitution (CES) production function and constructs a theoretical model to analyse their direct impact mechanisms. Drawing on the substitution effect theory and the Marshall–Arrow–Romer (MAR) externalities theory, this study introduces two regulatory mechanisms: optimization of energy structure and agricultural industry agglomeration (AIG). Additionally, it explores the pathway mechanisms under the influence of spatial spillover effects based on Tobler’s first law of geography. Then, taking Jiangsu Province in China as a case study, empirical tests are conducted using LSDVC and dynamic spatial SAR models. The results are as follows. (1) GTI effectively inhibits ACEI directly, and has significantly positive spatial spillover effects on ACEI reduction in the short and long terms. (2) Energy structure optimization positively regulates the effect of GTI on ACEI reduction, and energy structure optimization in nearby cities may help GTI restrain ACEI in the local city in the short term. (3) AIG has a positive regulating effect on GTI reducing ACEI, and the moderating effect of AIG has positive spillover effects in the short term. (4) When both regulatory pathways are employed simultaneously, the moderating effect of AIG in local or neighbouring areas is expected to become ineffective. These findings are useful for solving the problem of ACEI reduction by managing the transfer and distribution of GTI between different regions, considering spatial spillover and moderating effects. |
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spelling | doaj.art-dc9f479fad1f4bba9600b3f988ca22412023-12-03T05:39:57ZengElsevierEcological Indicators1470-160X2023-12-01157111147Path mechanism and spatial spillover effect of green technology innovation on agricultural CO2 emission intensity: A case study in Jiangsu Province, ChinaJing Rong0Jun Hong1Quan Guo2Zhou Fang3Shikun Chen4School of Economics and Management, Suzhou Polytechnic Institute of Agriculture, Suzhou 215000, China; Correspondence author: Q.G. and J.R, School of Economics and Management, Suzhou Polytechnic Institute of Agriculture, No.279 Xiyuan Road, Gusu District, Suzhou, China.School of Economics and Management, Suzhou Polytechnic Institute of Agriculture, Suzhou 215000, ChinaSchool of Economics and Management, Suzhou Polytechnic Institute of Agriculture, Suzhou 215000, China; Correspondence author: Q.G. and J.R, School of Economics and Management, Suzhou Polytechnic Institute of Agriculture, No.279 Xiyuan Road, Gusu District, Suzhou, China.Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun 666303, ChinaSchool of Economics, Tianjin University of Finance and Economics, Tianjin 300222, ChinaGreen technology innovation (GTI) is one of the most important factors influencing agricultural carbon emission intensity (ACEI). Various studies have explored the impact of GTI on ACEI, but the path mechanism has not been fully explained. This study incorporates GTI and ACEI into the constant elasticity of substitution (CES) production function and constructs a theoretical model to analyse their direct impact mechanisms. Drawing on the substitution effect theory and the Marshall–Arrow–Romer (MAR) externalities theory, this study introduces two regulatory mechanisms: optimization of energy structure and agricultural industry agglomeration (AIG). Additionally, it explores the pathway mechanisms under the influence of spatial spillover effects based on Tobler’s first law of geography. Then, taking Jiangsu Province in China as a case study, empirical tests are conducted using LSDVC and dynamic spatial SAR models. The results are as follows. (1) GTI effectively inhibits ACEI directly, and has significantly positive spatial spillover effects on ACEI reduction in the short and long terms. (2) Energy structure optimization positively regulates the effect of GTI on ACEI reduction, and energy structure optimization in nearby cities may help GTI restrain ACEI in the local city in the short term. (3) AIG has a positive regulating effect on GTI reducing ACEI, and the moderating effect of AIG has positive spillover effects in the short term. (4) When both regulatory pathways are employed simultaneously, the moderating effect of AIG in local or neighbouring areas is expected to become ineffective. These findings are useful for solving the problem of ACEI reduction by managing the transfer and distribution of GTI between different regions, considering spatial spillover and moderating effects.http://www.sciencedirect.com/science/article/pii/S1470160X2301289XGreen technology innovationAgricultural carbon emission intensitydynamic SAR modelLSDVCSpatial spillover effectModerating effect |
spellingShingle | Jing Rong Jun Hong Quan Guo Zhou Fang Shikun Chen Path mechanism and spatial spillover effect of green technology innovation on agricultural CO2 emission intensity: A case study in Jiangsu Province, China Ecological Indicators Green technology innovation Agricultural carbon emission intensity dynamic SAR model LSDVC Spatial spillover effect Moderating effect |
title | Path mechanism and spatial spillover effect of green technology innovation on agricultural CO2 emission intensity: A case study in Jiangsu Province, China |
title_full | Path mechanism and spatial spillover effect of green technology innovation on agricultural CO2 emission intensity: A case study in Jiangsu Province, China |
title_fullStr | Path mechanism and spatial spillover effect of green technology innovation on agricultural CO2 emission intensity: A case study in Jiangsu Province, China |
title_full_unstemmed | Path mechanism and spatial spillover effect of green technology innovation on agricultural CO2 emission intensity: A case study in Jiangsu Province, China |
title_short | Path mechanism and spatial spillover effect of green technology innovation on agricultural CO2 emission intensity: A case study in Jiangsu Province, China |
title_sort | path mechanism and spatial spillover effect of green technology innovation on agricultural co2 emission intensity a case study in jiangsu province china |
topic | Green technology innovation Agricultural carbon emission intensity dynamic SAR model LSDVC Spatial spillover effect Moderating effect |
url | http://www.sciencedirect.com/science/article/pii/S1470160X2301289X |
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