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可再生能源技术创新的碳减排效应:来自中国城市层面的非线性研究。

Carbon emission reduction effect of renewable energy technology innovation: a nonlinear investigation from China's city level.

机构信息

School of Economics, Xihua University, Chengdu, 610039, China.

出版信息

Environ Sci Pollut Res Int. 2023 Sep;30(43):98314-98337. doi: 10.1007/s11356-023-29245-7. Epub 2023 Aug 22.

Abstract

There has always been controversy over how renewable energy technologies can play a role in reducing carbon emissions. Based on the energy patent data and the economic data of 244 prefecture-level cities from 2007 to 2017 in China, we explore the carbon reduction effect of renewable energy technology and its mechanism from the perspective of energy production, conservation, and management. The two-way fixed effect, instrumental variable, spatial Durbin, and mediation effect models are employed to explore empirical results. We found that (1) the impact of renewable energy technologies on carbon emissions is nonlinear, with an inverted U shape. However, this inverted U-shaped relationship only exists locally in cities and there are uncertainties in adjacent cities, which indicates that cross-regional cooperation in renewable energy technology needs to be improved. (2) The mechanism analysis shows that industrial agglomeration and energy consumption scale are the channels that renewable energy technologies affect carbon emissions. Thus, the implicit carbon emissions generated by industrial agglomeration and the failure to green upgrade energy consumption are the main reasons for the inverted U-shaped relationship. (3) The carbon reduction effect of renewable energy technologies of conservation type takes effect first, and renewable energy technologies of production type do not reduce carbon emissions in non-eastern cities, which means that non-eastern cities are likely to become pollution havens. This study provides evidence for renewable energy technologies to achieve efficient carbon emission reduction and cross-regional technical cooperation.

摘要

一直以来,关于可再生能源技术如何在减少碳排放方面发挥作用存在争议。基于中国 2007 年至 2017 年 244 个地级市的能源专利数据和经济数据,我们从能源生产、节约和管理的角度探讨了可再生能源技术的碳减排效应及其机制。采用双向固定效应、工具变量、空间杜宾和中介效应模型来探索实证结果。我们发现:(1)可再生能源技术对碳排放的影响是非线性的,呈倒 U 型。然而,这种倒 U 型关系仅在城市内部存在局部性,相邻城市存在不确定性,这表明可再生能源技术的跨区域合作需要加强。(2)机制分析表明,产业集聚和能源消费规模是可再生能源技术影响碳排放的渠道。因此,产业集聚产生的隐含碳排放和能源消费绿色升级的失败是倒 U 型关系的主要原因。(3)节约型可再生能源技术的碳减排效应首先显现,而生产型可再生能源技术在非东部城市并不能减少碳排放,这意味着非东部城市可能成为污染避难所。本研究为可再生能源技术实现高效碳减排和跨区域技术合作提供了证据。

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