Financing constraints change of China's green industries

Adequate funding is a crucial factor for the sustainable development of green industries. However, most green firms have suffered from financing constraints due to the negative externalities and information asymmetry of green finance. This study analyzes the driving factors of financing constraints...

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Main Authors: Xiaoqian Liu, Chang'an Wang, Xingmin Zhang, Lei Gao, Jianing Zhu
Format: Article
Language:English
Published: AIMS Press 2022-11-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.20221144?viewType=HTML
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author Xiaoqian Liu
Chang'an Wang
Xingmin Zhang
Lei Gao
Jianing Zhu
author_facet Xiaoqian Liu
Chang'an Wang
Xingmin Zhang
Lei Gao
Jianing Zhu
author_sort Xiaoqian Liu
collection DOAJ
description Adequate funding is a crucial factor for the sustainable development of green industries. However, most green firms have suffered from financing constraints due to the negative externalities and information asymmetry of green finance. This study analyzes the driving factors of financing constraints index (FCI) of green industries from 2010 to 2019 using shift-share analysis. At the regional level, this study decomposes the change in FCI into three factors: national FCI change effect (NC), regional FCI change effect (RC), and regional FCI structure effect (RS). At the industry level, the study decomposes the change in FCI of green sub-industries into three factors: total industries FCI change effect (TIC), green industries FCI structure effect (GIS), and green sub-industries FCI structure effect (GSIS). The results show that the financing constraints on Chinese listed companies are getting stronger with each passing year. In particular, the financing constraints on green industries start to become larger than those of non-green industries after 2015. The decomposition results show that NC for each province is positive and relatively similar from 2010 to 2019. Nearly half of the provinces have positive RC values and there are more provinces with positive RS effects than those with negative RS effects. Most provinces are dominated by NC and RS effects. From the three green sub-industries, we observe that the TIC of all three sub-industries is positive, and GIS is positive in most years, while GSIS presents different characteristics. This study provides policy implications for alleviating financing constraints in green industries.
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spelling doaj.art-4911650418814bed9c4ce713370455d02023-01-12T01:45:46ZengAIMS PressAIMS Mathematics2473-69882022-11-01712208732089010.3934/math.20221144Financing constraints change of China's green industriesXiaoqian Liu0Chang'an Wang1Xingmin Zhang2Lei Gao3Jianing Zhu41. Research Institute of Economics and Management, Southwestern University of Finance and Economics, Chengdu 611130, China2. School of Economics, Southwestern University of Finance and Economics, Chengdu 611130, China3. West Institute for Economic Research, Southwestern University of Finance and Economics, Chengdu 611130, China4. School of Accounting, Shanxi University of Finance and Economics, Taiyuan 030006, China5. Paul Merage School of Business, University of California, Irvine, CA 92697, USAAdequate funding is a crucial factor for the sustainable development of green industries. However, most green firms have suffered from financing constraints due to the negative externalities and information asymmetry of green finance. This study analyzes the driving factors of financing constraints index (FCI) of green industries from 2010 to 2019 using shift-share analysis. At the regional level, this study decomposes the change in FCI into three factors: national FCI change effect (NC), regional FCI change effect (RC), and regional FCI structure effect (RS). At the industry level, the study decomposes the change in FCI of green sub-industries into three factors: total industries FCI change effect (TIC), green industries FCI structure effect (GIS), and green sub-industries FCI structure effect (GSIS). The results show that the financing constraints on Chinese listed companies are getting stronger with each passing year. In particular, the financing constraints on green industries start to become larger than those of non-green industries after 2015. The decomposition results show that NC for each province is positive and relatively similar from 2010 to 2019. Nearly half of the provinces have positive RC values and there are more provinces with positive RS effects than those with negative RS effects. Most provinces are dominated by NC and RS effects. From the three green sub-industries, we observe that the TIC of all three sub-industries is positive, and GIS is positive in most years, while GSIS presents different characteristics. This study provides policy implications for alleviating financing constraints in green industries.https://www.aimspress.com/article/doi/10.3934/math.20221144?viewType=HTMLfinancing constraintsgreen industriesgreen sub-industriesshift-share analysisregional analysisdriving factors
spellingShingle Xiaoqian Liu
Chang'an Wang
Xingmin Zhang
Lei Gao
Jianing Zhu
Financing constraints change of China's green industries
AIMS Mathematics
financing constraints
green industries
green sub-industries
shift-share analysis
regional analysis
driving factors
title Financing constraints change of China's green industries
title_full Financing constraints change of China's green industries
title_fullStr Financing constraints change of China's green industries
title_full_unstemmed Financing constraints change of China's green industries
title_short Financing constraints change of China's green industries
title_sort financing constraints change of china s green industries
topic financing constraints
green industries
green sub-industries
shift-share analysis
regional analysis
driving factors
url https://www.aimspress.com/article/doi/10.3934/math.20221144?viewType=HTML
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