4.7 Article

Green credit policy, credit allocation efficiency and upgrade of energy-intensive enterprises

Journal

ENERGY ECONOMICS
Volume 94, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.eneco.2021.105099

Keywords

Green credit policy; Upgrade of enterprises; Energy-intensive industries; China

Categories

Funding

  1. Jiangxi Humanities and Social Sciences Key Research Base Project of University [JD18016]
  2. Natural Science Foundation of Jiangxi Province of China [20202BAB201006]
  3. Jiangxi Humanities and Social Sciences Project of University [JJ20125]

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Using quasi-experimental method, this study investigates the impact of green credit policy on energy-intensive enterprises. The findings suggest that the Green Credit Guidelines in 2012 had a negative effect on R&D intensity and total factor productivity, while reducing bank credit and increasing trade credit. On the other hand, the Energy Efficiency Credit Guidelines in 2015 increased bank credit and fixed asset investment for enterprises.
Using the quasi-experimental method, this research investigates the impact of green credit policy on the upgrade of energy-intensive enterprises from the perspective of credit allocation efficiency. Through the panel data of listed companies in China, this study finds that the green credit policy under the Green Credit Guidelines in 2012 (GCG2012) has a significantly negative effect on the research and development (R&D) intensity and the total factor productivity (TFP) of treated firms. Empirical evidence also shows that the GCG2012 significantly reduces bank credit but increases trade credit. Consequently, the substitution hypothesis is established. Furthermore, GCG2012 has reduced the allocation efficiency of bank credit within energy-intensive industries. As an improved green credit policy to encourage enterprises to invest in energy efficiency, the Energy Efficiency Credit Guidelines in 2015 (EECG2015) increases both the bank credit and the fixed asset investment, whereas no increase in R&D intensity or TFP is found. These findings are enlightening for designing better green credit policies. (C) 2021 Elsevier B.V. All rights reserved.

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