Regional Big Data Application Capability and Firm Green Technology Innovation

Guixiang Cao, Xintong Fang (), Ying Chen and Jinghuai She
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Guixiang Cao: College of Business Administration, Capital University of Economics and Business, Beijing 100070, China
Xintong Fang: School of Accounting, Capital University of Economics and Business, Beijing 100070, China
Ying Chen: Business School, University of Sydney, Sydney, NSW 2006, Australia
Jinghuai She: College of Business Administration, Capital University of Economics and Business, Beijing 100070, China

Sustainability, 2023, vol. 15, issue 17, 1-29

Abstract: This study aims to investigate the impact of regional big data application capability (RBDAC) on the green technology innovation (GTI) of manufacturing firms. Based on the data from Shanghai and Shenzhen A-share listed manufacturing firms in China from 2010 to 2020, the difference-in-differences method is used for the analysis. The results show that RBDAC can significantly improve the GTI in manufacturing firms. Further research shows that government subsidy and analyst coverage have strengthened the positive effect of RBDAC on GTI. Extensive analysis validates the heterogeneity of RBDAC in influencing the GTI based on financial constraints, tax administration strengths, regions, property rights, and top management team. The economic outcome test shows that RBDAC also improves firms’ environmental, social, and governance performance. Our findings contribute to the literature on big data application capability and GTI, as well as provide practical enlightenment for manufacturing firms to engage in digital and green practices.

Keywords: big data; government subsidy; analyst coverage; GTI (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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