Toward low carbon development through digital economy: A new perspective of factor market distortion

IF 12.9 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-08-23 DOI:10.1016/j.techfore.2024.123685
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Abstract

The development and application of digital technology has brought profound influences on our economic development. It is therefore urgent to measure such impact on low carbon development. This study aims to measure the impact of digital economy development among Chinese provinces by using an intermediary effects model and conducting heterogeneity analysis. The results show that digital economy can facilitate low carbon development in China by alleviating capital and labor market distortions. Industrial digitization has the greatest impact, while digital industrialization has the smallest impact. Moreover, from a region perspective, digital economy is more effective to promote low carbon development in those eastern regions, while it is critical to improve the digital economy development environment in those central and western regions. Finally, several policy recommendations are raised by considering the Chinese realities.

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通过数字经济实现低碳发展:要素市场扭曲的新视角
数字技术的发展和应用对我们的经济发展产生了深远的影响。因此,衡量数字技术对低碳发展的影响迫在眉睫。本研究旨在通过中介效应模型和异质性分析,测度数字经济发展对中国各省的影响。结果表明,数字经济可以缓解资本和劳动力市场的扭曲,从而促进中国的低碳发展。其中,工业数字化影响最大,数字产业化影响最小。此外,从地区角度看,数字经济对东部地区低碳发展的促进作用更大,而对中西部地区而言,改善数字经济发展环境至关重要。最后,结合中国的实际情况,提出了若干政策建议。
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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