The Impact of Digital Finance on Green Total Factor Energy Efficiency: Evidence at China’s City Level

Liu, Yang; Xiong, Ruochan; Lv, Shigong; Gao, Dao Li

doi:10.3390/en15155455

Cited by 33 publications

(12 citation statements)

References 68 publications

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“…The capital resource, the labor force, and energy consumption are included in the input. The desirable output is GDP , whereas the undesirable output includes

, smoke, and effluents [ 40 , 41 ]. Notably, we can solve Equation (5) using the linear programming solver on MATLAB2018a software.…”

Section: Models and Datamentioning

confidence: 99%

The Low-Carbon Policy and Urban Green Total Factor Energy Efficiency: Evidence from a Spatial Difference-in-Difference Method

Gao

Cao

Liu

2023

IJERPH

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In the post-epidemic background of the low-carbon economy and sustainable development, the low-carbon city pilot program (LCCP) is viewed as a practical method of improving energy efficiency. This study explores the spatial spillover effects of LCCP on green total factor energy efficiency (GTFEE) by developing a spatial difference-in-difference (SDID) model. Furthermore, we apply the mediating effects model to verify whether the rational allocation of resources is an influential channel for the spillover effect of LCCP policies. The results indicate that the LCCP policy has not only improved the local GTFEE by approximately 1.8%, but it also has a profound impact on the surrounding regions as well, which is about 76.5% that of the pilot cities. Additionally, the estimated results of the mediating effect model indicate that optimizing labor force and capital allocations are two essential channels through which the LCCP policy may contribute to improving regional cities’ GTFEE. Accordingly, the pilot cities should establish specific measures for rational resource allocation and promote the spatial spillover model of sustainable development.

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“…The capital resource, the labor force, and energy consumption are included in the input. The desirable output is GDP , whereas the undesirable output includes

, smoke, and effluents [ 40 , 41 ]. Notably, we can solve Equation (5) using the linear programming solver on MATLAB2018a software.…”

Section: Models and Datamentioning

confidence: 99%

The Low-Carbon Policy and Urban Green Total Factor Energy Efficiency: Evidence from a Spatial Difference-in-Difference Method

Gao

Cao

Liu

2023

IJERPH

Self Cite

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“…According to Taghizadeh-Hesary et al, (2022), environmental deterioration in the exporting nations may result from increased production to ful ll global demand. Managing the trash from end-of-life renewable technology can be di cult for exporting nations as well; if improperly managed, this garbage can have negative environmental effects (Liu et al 2022a).…”

Section: Green Energy Imports and Environmental Degradationmentioning

confidence: 99%

Green energy imports, FDI, Stock market capitalization, globalization and environmental degradation in China: Paving the Path to Sustainability in COP26 Agenda

2023

Preprint

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This paper explores the complex dynamics of green energy imports, foreign direct investment (FDI), stock market capitalization, globalization, and CO2 emissions in the context of environmental deterioration. We examine the short- and long-run effects of these factors on CO2 emissions using a Nonlinear Autoregressive Distributed Lag (NARDL) model. The findings show that positive and negative shocks have different impacts on CO2 emissions. Green energy imports and some features of globalization have the potential to significantly cut CO2 emissions in the short and long run. In addition, FDI and stock market capitalization show short-term increases in CO2 emissions. To improve environmental degradation under COP26, we suggest focused policy solutions such as supporting green investments, improving environmental legislation, encouraging sustainable financing, creating green trade agreements, and raising public awareness. Implementing these regulations can lead to more ecologically responsible and long-term economic prosperity.

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“…By tapping into the "structural dividend" and "technological dividend" in the green transformation of the economy, digital finance can overcome energy and environmental constraints [44] and promote the improvement of marine energy efficiency. On the one hand, digitalization promotes the overall improvement of energy utilization and production technologies and gradually promotes the intelligent transformation and integration of resource utilization and energy-saving technologies in marine industrial enterprises [45], reducing the energy consumption and carbon emissions of marine enterprises at source, which is a critical way to improve energy and environment efficiency [46]. On the other hand, the penetration of digital technology has comprehensively promoted the optimization and upgrading of industrial structures.…”

Section: Mechanisms Of Digital Finance To Marine Energy Carbon Emissi...mentioning

confidence: 99%

Has Digital Finance Made Marine Energy Carbon Emission More Efficient in Coastal Areas of China?

Liang

2023

Sustainability

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Energy is an essential material foundation for ensuring economic sustainability and national security. With the development of digitalization, the importance of digital finance in promoting the green and low-carbon transformation of the economy has emerged. The ocean is a national energy treasure house. In order to explore whether digital finance improves the carbon emission efficiency of marine energy, this paper selects panel data from 11 coastal areas from 2011 to 2019 in China and uses the panel fixed effect model, mediation, and moderation model to analyze the mechanism between them empirically. The results show that: (1) digital finance improves marine energy carbon emission efficiency, and the depth of use has the most obvious effect; (2) the incentive effect is heterogeneous due to different geographical locations, resource endowment degree, and digitalization degree; (3) the marine energy consumption structure plays a mediating effect, and marine industrial structure and technological innovation can enhance the impact of the digital finance on marine energy carbon emission efficiency. Therefore, optimizing the energy consumption structure and giving full play to the effect of digital finance in promoting the efficiency of marine energy carbon emission to help accelerate the low-carbon development of China’s economy and the realization of carbon emission reduction.

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The Impact of Digital Finance on Green Total Factor Energy Efficiency: Evidence at China’s City Level

Cited by 33 publications

References 68 publications

The Low-Carbon Policy and Urban Green Total Factor Energy Efficiency: Evidence from a Spatial Difference-in-Difference Method

The Low-Carbon Policy and Urban Green Total Factor Energy Efficiency: Evidence from a Spatial Difference-in-Difference Method

Green energy imports, FDI, Stock market capitalization, globalization and environmental degradation in China: Paving the Path to Sustainability in COP26 Agenda

Has Digital Finance Made Marine Energy Carbon Emission More Efficient in Coastal Areas of China?

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