Regional determinants of low carbon transition in Russian companies: the impact of human capital and digitalization on corporate carbon management practices

Q3 Economics, Econometrics and Finance REconomy Pub Date : 2022-01-01 DOI:10.15826/recon.2022.8.1.007
I. Chernenko, N. Kelchevskaya, I. Pelymskaya
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引用次数: 1

Abstract

Objective. The purpose of this article is to identify the regional determinants of the low carbon transition in Russian companies. These determinants are related to human capital and digital technologies development in local economic ecosystems. Methods. The study relies on linear regression methods and examines the impact of education, wages, the use of the broadband Internet, cloud technologies and ERP (Enterprise Resource Planning) systems in Russian regions on companies’ motivation to manage their carbon dioxide emissions. Results. The results show that human capital has an ambiguous effect on the behavior of companies that support the low carbon transition. On the contrary, the digitalization of regions is significantly and positively associated with the implementation of environmental and energy management practices in Russian companies, especially among service companies. Conclusion. Low carbon transition is becoming an essential component of the national development strategy, as climate resilience issues directly affect the economic performance of production systems. The study considers two types of factors that influence the implementation of management practices for the low-carbon transition: these are human capital and the digitalization of regions.
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俄罗斯企业低碳转型的区域决定因素:人力资本和数字化对企业碳管理实践的影响
目标。本文的目的是确定俄罗斯公司低碳转型的区域决定因素。这些决定因素与当地经济生态系统中的人力资本和数字技术发展有关。方法。该研究采用线性回归方法,考察了俄罗斯地区的教育、工资、宽带互联网的使用、云技术和ERP(企业资源规划)系统对企业管理二氧化碳排放动机的影响。结果。研究结果表明,人力资本对支持低碳转型的企业行为的影响是模糊的。相反,各地区的数字化与俄罗斯企业(尤其是服务企业)实施环境和能源管理实践有着显著的正相关关系。结论。低碳转型正成为国家发展战略的重要组成部分,因为气候适应能力问题直接影响到生产系统的经济绩效。该研究考虑了影响低碳转型管理实践实施的两类因素:人力资本和区域数字化。
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来源期刊
REconomy
REconomy Economics, Econometrics and Finance-General Economics, Econometrics and Finance
CiteScore
1.60
自引率
0.00%
发文量
8
审稿时长
14 weeks
期刊最新文献
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