The impact of city commercial banks’ expansion on China’s regional energy efficiency

Pu, Zhengning; Yang, Mingyan

doi:10.1016/j.eap.2021.10.017

Cited by 16 publications

(5 citation statements)

References 41 publications

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“…The optimal input or output ratio of decision-making units relative to the production frontier can be obtained based on distance between the actual production points of all decision-making units and the optimal frontier. Through the DEA model, many scholars had conducted research on energy utilizing performance at the regional or provincial perspective [14,21,22]. Some other literatures analyzed energy efficiency at the industrial sector or enterprise level, such as Qi [23] and Khodadadipour et al [24]; a few scholars measured energy efficiency at the urban level [25,26].…”

Section: Measurement Of Energy Efficiencymentioning

confidence: 99%

The Influence of Energy Price Distortion on Region Energy Efficiency in China’s Energy-Intensive Industries from the Perspectives of Urban Heterogeneity

Wang

Liang

et al. 2021

Sustainability

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As typical representatives of China’s industrial sectors, energy intensive industries are the focus of energy conservation. This study constructs a trans-log production function and stochastic frontier analysis model to analyze the impact of energy price distortion on total factor energy efficiency in energy intensive industries on the city level. The results reveal that the phenomenon of energy price distortion existed in all cities from 2003 to 2019, with an average degree of −0.175; and the total factor energy efficiency in China’s energy intensive sectors showed an upward trend, with an average efficiency of 0.729. Further deep analysis of affecting mechanisms concluded that the price distortion showed a significant restraining effect on improving energy efficiency, while the improvement of urban agglomeration systems had an opposite effect. In addition, energy consumption structure, foreign trade, and infrastructure construction are positively correlated with energy efficiency. Therefore, promoting the market-oriented reform of China’s energy market is of great significance to improve city energy efficiency and build a resource-conserving society.

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Section: Measurement Of Energy Efficiencymentioning

confidence: 99%

The Influence of Energy Price Distortion on Region Energy Efficiency in China’s Energy-Intensive Industries from the Perspectives of Urban Heterogeneity

Wang

Liang

et al. 2021

Sustainability

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show abstract

“…Focusing on China’s sustainable development in the context of globalization, in order to reduce carbon emissions, the proposed goal of “carbon peaking and carbon neutrality” provides a deep soil for the development of ESG investment in China’s power grid enterprises. References [ 8 , 9 ] studied the impact of enterprise operations on energy efficiency and regional carbon neutrality. Reference [ 8 ] points out that the expansion of urban commercial banks improves energy efficiency by easing financing constraints, which is conducive to achieving regional carbon neutrality in China.…”

Section: Introductionmentioning

confidence: 99%

“…References [ 8 , 9 ] studied the impact of enterprise operations on energy efficiency and regional carbon neutrality. Reference [ 8 ] points out that the expansion of urban commercial banks improves energy efficiency by easing financing constraints, which is conducive to achieving regional carbon neutrality in China. Reference [ 9 ] studied the role of green technology innovation of listed companies in achieving carbon-neutral development of cities and pointed out that green technology progress of enterprises can effectively improve energy efficiency and promote carbon-neutral development.…”

Section: Introductionmentioning

confidence: 99%

ESG Investment Scale Allocation of China’s Power Grid Company Using System Dynamics Simulation Modeling

Bi-rong

Wang

2023

IJERPH

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In recent years, with the global recognition of the concept of sustainable development, the international market attaches great importance to the Environment, Society, and Governance (ESG) investment performance of enterprises. The “carbon peaking and carbon neutrality” goal puts forward requirements for Chinese enterprises to carry out ESG investment. As a large state-owned enterprise in China, power grid companies need to take the lead in ESG investment. Based on the System Dynamics (SD) theory, this paper establishes the simulation model of ESG-responsible investment of power grid companies, including the environmental investment sub-module, social investment sub-module, and governance investment sub-module. Taking a provincial Power Grid Company as an example, the numerical simulation of ESG investment of power grid companies is carried out. The actual input-output efficiency of ESG investment of power grid companies is reflected through the mapping relationship between key indicators and investment amount, and the ESG investment scale and investment weight of the Power Company in the coming years are predicted. Compared with the traditional static analysis method, this model can provide a theoretical basis for power grid companies to carry out ESG investment decisions.

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“…In addition, as the energy crisis always goes along with soaring energy prices, it can possibly become another reason to affect the positiveness between carbon regulatory policies and carbon efficiency (Pu & Yang, 2022). Intuitively, rising energy prices can lower the energy demand and improve carbon efficiency, which gives consumers hesitation before consuming energy (Wang et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Using random forest to find the discontinuity points for carbon efficiency during COVID-19

Qu,

Lim,

Yang

et al. 2023

Soft Comput

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As there is a constant trade-off between carbon dioxide emissions against economic growth for every government, carbon efficiency is a key indicator to guide sustainable development. However, the energy crisis and COVID-19 recovery could affect carbon efficiency. Therefore, this paper combines the fuzzy regression discontinuity and random forest algorithm to estimate the discontinuity of the energy crisis and COVID-19 recovery on carbon efficiency. The results show that there are two cutoffs between carbon efficiency and coal prices. The positive treatment effect at cutoff 1 proves that the "zero-tolerance" policies effectively promote carbon efficiency. Besides, the negative treatment effect at cutoff 2 proves that electricity rationing has not always improved carbon efficiency during the energy crisis.

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The impact of city commercial banks’ expansion on China’s regional energy efficiency

Cited by 16 publications

References 41 publications

The Influence of Energy Price Distortion on Region Energy Efficiency in China’s Energy-Intensive Industries from the Perspectives of Urban Heterogeneity

The Influence of Energy Price Distortion on Region Energy Efficiency in China’s Energy-Intensive Industries from the Perspectives of Urban Heterogeneity

ESG Investment Scale Allocation of China’s Power Grid Company Using System Dynamics Simulation Modeling

Using random forest to find the discontinuity points for carbon efficiency during COVID-19

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