The influence of smart city policy on urban green energy efficiency -- A quasi-natural experiment based on 196 cities

Wu, Mingran; Guo, Mengfei; Xu, Jingrong

doi:10.1016/j.jclepro.2024.141818

Cited by 1 publication

(1 citation statement)

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“…The advancement in industrial technology results in a lowered utilization of fixed assets and reduced investment in staff, thereby reducing capital expenditure. This improvement also enhances the efficiency of CO 2 emissions while sustaining current production [48]. The government, serving as the steward and enforcer of environmental legislation, has committed considerable resources to combat environmental pollution.…”

Section: Second Stage Analysis: Sfa Regression Evaluationmentioning

confidence: 99%

Provincial Coal Flow Efficiency of China Quantified by Three-Stage Data-Envelopment Analysis

Jiang,

Jin,

et al. 2024

Sustainability

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The exploration of regional variations in coal flow efficiency (CFE) in China and the collaborative strategies for emission reduction are vital for accelerating the progress of ecological civilization within the coal industry and achieving an optimal allocation of coal resources. To unveil the evolutionary traits of actual CFE and its decomposition, this study employs a current technology based on a combined super-efficient measure (SBM), global SBM, the stochastic frontier approach (SFA), and the global Malmquist–Luenberger index (GML) model on panel data from 2010 to 2021 across 30 provinces in China. The research conclusions are as follows. First, significant efficiency gaps are observed among provinces, showcasing superior performance in the north and east regions. Moreover, the impact of environmental factors and random disruptions on individual slack variables varies, resulting in a decrease of 0.18 and 0.43 in the CFE of source-area and sink-area when these factors are not taken into account. Thirdly, a clear distinction emerges between the technical efficiency change index (EC) and the best-practice gap change index (BPC). Lastly, the CFE displays regional disparities marked by an upward trajectory and fluctuating patterns resembling a “W” shape.

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Section: Second Stage Analysis: Sfa Regression Evaluationmentioning

confidence: 99%