School of Economics, Nanjing Audit University, Nanjing, 211815, China.
Environ Sci Pollut Res Int. 2023 Jan;30(3):7522-7542. doi: 10.1007/s11356-022-22592-x. Epub 2022 Aug 30.
By investigating the threshold effect on carbon emission from the perspective of digital transformation, this paper collects the panel data of 29 world's major exporting countries from 2000 to 2019 to explore the impact of energy consumption on CO discharge by constructing a multi-variate threshold model. We further decompose digital transition into several indicators of digital infrastructure development, digital trade competitiveness, and digital technology exploitation. The key findings demonstrate that energy consumption exert a significant threshold effect on carbon emissions. When per capita energy usage is selected as the core explanatory variable, digital infrastructure and digital technology exploitation display significant single threshold effect. Likewise, when the proportion of renewable energy consumption is considered the key independent variable, digital trade competitiveness and digital technology exploitation also present significant single threshold impact. Overall, the deeper the digital transformation, the weaker the promotion effect of per capita energy consumption on carbon emissions, and the stronger the influence of the proportion of renewable energy on CO abatement. Robustness test confirms that the conclusions of this study are stable and consistent. Policymakers ought to better utilize the opportunities that digital transition offer for energy conservation and carbon neutrality realization. The specific policy implications include the following: (1) raise the scale of the application of renewable energy in digital infrastructure, (2) ameliorate the assessment system for the utilization of renewable energy in the digital industry, (3) elevate the incentive mechanism for boosting the adoption of clean energy during digitalization, (4) steadily advance the digital transition and refinement of industrial structure, and (5) high-income developed economies should help low- and middle-income developing countries accelerate the development of low-carbon economy.
本文从数字转型的角度考察了碳排放的门槛效应,利用 2000-2019 年世界 29 个主要出口国的面板数据,构建了一个多变量门槛模型,探讨了能源消费对 CO 排放的影响。我们进一步将数字转型分解为数字基础设施发展、数字贸易竞争力和数字技术开发几个指标。研究结果表明,能源消费对碳排放存在显著的门槛效应。当人均能源使用量作为核心解释变量时,数字基础设施和数字技术开发显示出显著的单门槛效应。同样,当可再生能源消费比例作为关键自变量时,数字贸易竞争力和数字技术开发也呈现出显著的单门槛影响。总的来说,数字转型程度越深,人均能源消费对碳排放的促进作用越弱,可再生能源比例对 CO 减排的影响越强。稳健性检验证实了本研究结论的稳定性和一致性。决策者应该更好地利用数字转型带来的机遇,实现节能减排和碳中和。具体的政策含义包括:(1)提高数字基础设施中可再生能源的应用规模;(2)完善数字产业可再生能源利用评价体系;(3)提高清洁能源在数字化过程中的应用激励机制;(4)稳步推进数字转型和产业结构精细化;(5)高收入发达经济体应帮助中低收入发展中国家加快发展低碳经济。