Environmental technology and firm performance: The role of digital financial inclusion, information and communication technology, and education

IF 3.5 4区 社会学 Q2 ENVIRONMENTAL SCIENCES Natural Resources Forum Pub Date : 2024-08-08 DOI:10.1111/1477-8947.12545
Fei Pang, Ilhan Ozturk, Sidra Sohail
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Abstract

This research aims to determine how environmental technology (ET), digital financial inclusion (DFI), information and communication technology (ICT), and education affect a firm's performance in China from 1998 to 2020. We have employed the quantile autoregressive distributed lag model to estimate the variables' short‐ and long‐term relationship across various quantiles. In the context of non‐state‐owned enterprises (NSOE), the estimates of ET are positively significant in almost half of the quantiles in the long run, while in the short run, the estimates are insignificant. In the NSOE model, the DFI estimates are significant and positive at the highest quantiles only in the long run and almost at all quantiles in the short run. Likewise, the estimates of ET are positively significant in half quantiles in the long run and insignificant in the short run in terms of state‐owned enterprises (SOE). In the SOE model, the DFI estimates are significant and positive at the highest quantiles only in the long run and at medium and highest quantiles in the short run. ICT and educational development have a favorable impact on a firm's performance across all quantiles in the long run in SOE and NSOE models. However, in the short run, these variables have a favorable impact only at higher quantiles in SOE and NSOE. These findings imply that more ET, DFI, ICT, and education are crucial for improving the performance of state‐owned and non‐state‐owned firms.
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环境技术与企业绩效:数字金融包容性、信息和通信技术以及教育的作用
本研究旨在确定环境技术(ET)、数字普惠金融(DFI)、信息与通信技术(ICT)和教育如何影响 1998 年至 2020 年中国企业的绩效。我们采用了量级自回归分布滞后模型来估计变量在不同量级上的短期和长期关系。在非国有企业(NSOE)模型中,ET 的估计值在近一半的量级上长期正向显著,而在短期内估计值不显著。在非国有企业模型中,DFI 的估计值在长期内仅在最高的量级上显著为正,而在短期内几乎在所有量级上都显著为正。同样,就国有企业(SOE)而言,ET 的估计值在长期中的一半量级为正值,在短期内不显著。在国有企业模型中,DFI 估计值在长期内仅在最高量级显著为正,而在短期内则在中量级和最高量级显著为正。在国有企业和非国有企业模型中,信息与通信技术和教育发展对企业的长期绩效在所有量级上都有有利影响。然而,在短期内,这些变量只对国有企业和非国有企业的较高数量级产生有利影响。这些发现意味着,更多的对外贸易、发展筹资机构、信息和通信技术以及教育对于提高国有和非国有企业的绩效至关重要。
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来源期刊
Natural Resources Forum
Natural Resources Forum 环境科学-环境科学
CiteScore
6.10
自引率
0.00%
发文量
24
审稿时长
>36 weeks
期刊介绍: Natural Resources Forum, a United Nations Sustainable Development Journal, focuses on international, multidisciplinary issues related to sustainable development, with an emphasis on developing countries. The journal seeks to address gaps in current knowledge and stimulate policy discussions on the most critical issues associated with the sustainable development agenda, by promoting research that integrates the social, economic, and environmental dimensions of sustainable development. Contributions that inform the global policy debate through pragmatic lessons learned from experience at the local, national, and global levels are encouraged. The Journal considers articles written on all topics relevant to sustainable development. In addition, it dedicates series, issues and special sections to specific themes that are relevant to the current discussions of the United Nations Commission on Sustainable Development (CSD). Articles must be based on original research and must be relevant to policy-making. Criteria for selection of submitted articles include: 1) Relevance and importance of the topic discussed to sustainable development in general, both in terms of policy impacts and gaps in current knowledge being addressed by the article; 2) Treatment of the topic that incorporates social, economic and environmental aspects of sustainable development, rather than focusing purely on sectoral and/or technical aspects; 3) Articles must contain original applied material drawn from concrete projects, policy implementation, or literature reviews; purely theoretical papers are not entertained.
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