Chen Yufeng, Liu Kelong, Ni Liangfu, Chen Mingxin
College of Business Administration, Capital University of Economics and Business, Beijing 100070, China; School of Economics, Zhejiang Gongshang University, Hangzhou 310018, China.
College of Business Administration, Capital University of Economics and Business, Beijing 100070, China.
Sci Total Environ. 2023 Sep 20;892:164581. doi: 10.1016/j.scitotenv.2023.164581. Epub 2023 Jun 5.
Carbon lock-in is a major obstacle to transforming carbon-based energy systems toward carbon peaking and neutralization, affecting the green economy. However, its impacts and paths on green development are unclear, and it is difficult to represent carbon lock-in using a single indicator. This study measures five types of carbon lock-ins and their comprehensive effect using the entropy index of 22 indirect indicators in 31 Chinese provinces during 1995-2021. Moreover, green economic efficiencies are measured using a fuzzy slacks-based model considering undesirable outputs. The panel Tobit models are used to test the impacts of carbon lock-ins on green economic efficiencies and their decompositions. Our results show that provincial carbon lock-ins in China range from 0.20 to 0.80, with notable type and regional differences. Overall carbon lock-in levels are similar, but the severity of different carbon lock-in types varies, with social behavior being the most serious. However, the overall trend of carbon lock-ins is declining. Low pure green economic efficiencies, rather than scale efficiencies, contribute to China's worrisome green economic efficiencies, but they are decreasing and accompanied by regional gaps. Carbon lock-in hinders green development, but a specific analysis is needed for different carbon lock-in types and development phases. It is biased to assume that all carbon lock-ins hinder sustainable development, as some are even necessary. The impacts of carbon lock-in on green economic efficiency depend more on its effect on technology than on scale change. Implementing various measures to unlock carbon and maintaining reasonable levels of carbon lock-in can promote high-quality development. This paper may promote the development of new unlocking CLI measures and sustainable development policies.
碳锁定是碳基能源系统向碳达峰和碳中和转型的主要障碍,影响绿色经济。然而,其对绿色发展的影响和路径尚不清楚,且难以用单一指标来表征碳锁定。本研究利用1995 - 2021年中国31个省份22个间接指标的熵指数测度了五种类型的碳锁定及其综合效应。此外,采用考虑非期望产出的基于模糊松弛的模型测度绿色经济效率。运用面板Tobit模型检验碳锁定对绿色经济效率及其分解的影响。我们的结果表明,中国省级碳锁定范围在0.20至0.80之间,存在显著的类型和区域差异。总体碳锁定水平相近,但不同碳锁定类型的严重程度各异,其中社会行为方面最为严重。然而,碳锁定的总体趋势呈下降态势。较低的纯绿色经济效率而非规模效率导致了中国令人担忧的绿色经济效率,但它们正在下降且存在区域差距。碳锁定阻碍绿色发展,但对于不同的碳锁定类型和发展阶段需要进行具体分析。认为所有碳锁定都阻碍可持续发展是有偏差的,因为有些碳锁定甚至是必要的。碳锁定对绿色经济效率的影响更多地取决于其对技术的影响而非规模变化。实施各种解锁碳的措施并维持合理水平的碳锁定能够促进高质量发展。本文可能会推动新的碳锁定解锁措施和可持续发展政策的发展。