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Topic Editors

School of Economics and Management, Nanchang University, Nanchang 330031, China
School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China

Carbon Neutrality and Energy Transition in the Digital Era

Abstract submission deadline
closed (1 June 2024)
Manuscript submission deadline
closed (9 November 2024)
Viewed by
16443

Topic Information

Dear Colleagues,

To cope with the challenges to sustainability brought on by global warming, countries around the world are actively cooperating and developing strategies to promote energy transition and reduce carbon emissions. The Paris Agreement defines the goal of achieving global carbon neutrality by 2065–2070 and also sets a clear path for international cooperation to pursue carbon neutrality. The pursuit of carbon neutrality means a shift from an energy system dominated by fossil fuels to renewables, and a shift from a carbon-intensive model of development to a low-carbon one. In addition, digital technology is increasingly embedded in the link between energy systems and economic and social development, and digital technology can help to promote the realization of the goal of energy system transformation and low-carbon development. The transition of the energy system brings the challenge of an unstable energy supply, while the low-carbon transition has the risks inherent to all transitions. The instability of new energy systems and the uncertainty of the low-carbon transition can be greatly reduced if digital technologies are used effectively. The pursuit of carbon neutrality in the digital age presents new opportunities, but it is also faced with the challenge of a surging energy demand. Hence, more research is needed on carbon neutrality and energy transformation in the digital age. This Topic will focus on economics, management science, geographic information, and energy science or related research, and examine the progress of global carbon neutrality and energy transition in the digital age through econometric empirical analysis, regional simulation, systems science, and energy engineering. The Topic will focus on the challenges of transforming energy systems and low-carbon development in the digital age and its digital solutions, supporting technologies, and management strategies. This topic welcomes innovative research into advancing carbon-neutral processes and developing low-carbon transition in the digital age, and will consider papers using methods such as data analysis, data science, predictive models, systems optimization, etc.; all methods or application challenges are welcome.

Dr. Huwei Wen
Dr. Lei Jiang
Topic Editors

Keywords

  • digital technology
  • carbon neutrality
  • energy transition
  • renewable energy
  • system analysis
  • low-carbon development
  • transformation risk
  • digital solutions

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Economies
economies
2.1 4.0 2013 21.7 Days CHF 1800
Energies
energies
3.0 6.2 2008 17.5 Days CHF 2600
Sustainability
sustainability
3.3 6.8 2009 20 Days CHF 2400

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Published Papers (11 papers)

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22 pages, 22673 KiB  
Article
The Design and Implementation of an Intelligent Carbon Data Management Platform for Digital Twin Industrial Parks
by Lingyu Wang, Hairui Wang, Yingchuan Li, Xingyun Yan, Min Wang, Meixing Guo, Mingzhu Fang, Yue Kong and Jie Hu
Energies 2024, 17(23), 5972; https://doi.org/10.3390/en17235972 - 27 Nov 2024
Viewed by 551
Abstract
In the face of increasing environmental challenges, carbon emissions from industrial parks have become a global focal point, particularly as electricity consumption serves as a major source of carbon emissions that requires effective management. Despite proactive efforts by governments and industry stakeholders to [...] Read more.
In the face of increasing environmental challenges, carbon emissions from industrial parks have become a global focal point, particularly as electricity consumption serves as a major source of carbon emissions that requires effective management. Despite proactive efforts by governments and industry stakeholders to transition industrial parks toward cleaner production methods, traditional energy management systems exhibit significant limitations in data collection, real-time monitoring, and intelligent analysis, making it difficult to meet the urgent demands for carbon reduction. To address these challenges, this study proposes a carbon data management approach for industrial parks based on digital twin technology and develops an intelligent system that integrates monitoring, environmental surveillance, energy management, and carbon emission monitoring. The system supports efficient energy-saving and carbon-reducing decision making by real-time collection of energy consumption data. By incorporating Building Information Modeling (BIM) and Internet of Things (IoT) technologies, the system facilitates the integration and visualization of multi-source data, significantly enhancing the transparency of carbon data. The results of the carbon reduction validation system demonstrate that the application of this platform and its associated facilities can significantly reduce carbon emissions in the park, providing robust support for the transition of industrial parks toward low-carbon and sustainable development. Full article
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<p>Digital twin system construction framework.</p>
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<p>The architecture and data flow among the system’s layers.</p>
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<p>The sensors of the data acquisition module.</p>
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<p>The overall architecture of the communication module and its interrelation.</p>
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<p>The construction process of the 3D digital twin model.</p>
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<p>The implementation method for data acquisition and chart mapping.</p>
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<p>The display effect of the mapped charts on the front-end page.</p>
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<p>The operational effect of the digital twin system.</p>
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<p>Operation interface of the park and equipment monitoring system.</p>
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<p>Operation interface of the park’s carbon data monitoring system.</p>
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<p>Operational interface of the photovoltaic monitoring system for the park.</p>
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<p>The operational interface of the intelligent lighting management system for Building 9.</p>
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<p>Design of intelligent carbon reduction process.</p>
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<p>Operational interface of the carbon reduction verification system for the park.</p>
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<p>Operational chart of parameters without automatic control strategy.</p>
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<p>The operational chart for enabling the automatic control strategy parameters.</p>
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20 pages, 1462 KiB  
Article
Research on the Mechanism of the Green Innovation of Enterprises Empowered by Digital Technology from the Perspective of Value Co-Creation
by Qiushi Bo, Hui Liu and Junwei Zheng
Sustainability 2024, 16(20), 9065; https://doi.org/10.3390/su16209065 - 19 Oct 2024
Viewed by 858
Abstract
To help enterprises utilize digital technologies to increase their green innovation awareness and behavior and further clarify the “black box” of this process, this study first develops a theoretical framework to explain the mechanism of the functional attributes of digital technology, stakeholder value [...] Read more.
To help enterprises utilize digital technologies to increase their green innovation awareness and behavior and further clarify the “black box” of this process, this study first develops a theoretical framework to explain the mechanism of the functional attributes of digital technology, stakeholder value co-creation, and enterprise green innovation. Data are subsequently gathered from 342 manufacturing enterprises, and the meditation and moderation hypotheses are empirically analyzed using hierarchical regression and the bootstrapping method. A robustness test is conducted via data grouping. The findings indicate that digital technology openness and affordance have a positive effect on green product innovation and process innovation through value co-creation between businesses and stakeholders. Additionally, digital technology self-growth positively moderates the indirect effect of digital technology affordance on the green innovation of enterprises through value co-creation. Full article
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<p>Enterprise green innovation value co-creation system based on digital technology.</p>
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<p>Empirical research framework.</p>
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<p>(<b>a</b>) Moderating relationship between digital technology openness and enterprise green innovation, (<b>b</b>) moderating relationship between digital technology affordance and enterprise green innovation, and (<b>c</b>) moderating relationship between value co-creation and enterprise green innovation. Note: M refers to the mean, SD refers to the Standard Deviation, M − 1SD means one standard deviation below the mean, M + 1SD means one standard deviation above the mean.</p>
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<p>Full structural model with path coefficients (analyzed results). Note: The coefficients of H1, H2, H5, H6, and H7 are the result of hierarchical regression; the coefficients of H3, H4, and H9 are obtained by converting the coefficients of the bootstrap test results according to a certain conversion method. *** denotes <span class="html-italic">p</span> &lt; 0.001, ** denotes <span class="html-italic">p &lt;</span> 0.01, and * denotes <span class="html-italic">p</span> &lt; 0.05.</p>
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15 pages, 428 KiB  
Article
How Does the Spatial Structure of Innovation Agglomeration Affect Energy Efficiency? From the Role of Industrial Structure Upgrading
by Kaiqu Liu and Guofeng Wang
Energies 2024, 17(16), 3977; https://doi.org/10.3390/en17163977 - 11 Aug 2024
Viewed by 1081
Abstract
This paper employs the instrumental variable method and the intermediary model to explore the influence of monocentric and polycentric spatial structures of innovation agglomeration on energy efficiency. This paper uses data from 2010 to 2021 in China, and also panel data regression models [...] Read more.
This paper employs the instrumental variable method and the intermediary model to explore the influence of monocentric and polycentric spatial structures of innovation agglomeration on energy efficiency. This paper uses data from 2010 to 2021 in China, and also panel data regression models were used. The findings indicate that the monocentric spatial structure of provincial system innovation agglomeration is primarily concentrated in northeastern and western regions of China, whereas the polycentric spatial structure is mainly distributed in eastern coastal areas. A monocentric spatial structure inhibits the enhancement of energy efficiency, but there is an environmental paradox of excessive resource agglomeration. In contrast, a polycentric spatial structure and its strengthening tendency facilitate the improvement of energy efficiency. A monocentric spatial structure has an inhibitory impact on the improvement of energy efficiency in the three sectors of agriculture, industry, and construction, while a polycentric spatial structure aids it. A monocentric spatial structure further hinders the improvement of energy efficiency by impeding the upgrading of the industrial structure, while the upgrading of the industrial structure driven by the polycentric spatial structure plays a role in enhancing energy efficiency. The policy recommendations of this paper are intended to help coordinate the pace of innovation development between cities, adjust the spatial structure of innovation agglomeration between regions, and promote the upgrading of the comprehensive industrial structure, thereby improving overall energy efficiency. Full article
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<p>Theoretical framework diagram.</p>
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22 pages, 865 KiB  
Article
The Impact and Mechanism behind the Effect of a Digital Economy on Industrial Carbon Emission Reduction
by Gang Zhou, Jiaxin Gao, Yao Xu, Yi Zhang and Hao Kong
Sustainability 2024, 16(13), 5705; https://doi.org/10.3390/su16135705 - 3 Jul 2024
Cited by 1 | Viewed by 1403
Abstract
Digital technologies hold significant potential for addressing environmental issues, such as air pollution and rising global temperatures. China is focusing on accelerating the dual transformation of industrial greening and digitization to accomplish the UN’s 2030 Agenda for Sustainable Development and sustainable economic growth. [...] Read more.
Digital technologies hold significant potential for addressing environmental issues, such as air pollution and rising global temperatures. China is focusing on accelerating the dual transformation of industrial greening and digitization to accomplish the UN’s 2030 Agenda for Sustainable Development and sustainable economic growth. By combining a two-way fixed effect model, a mediated effect model, and a panel threshold model, this research endeavors to explore the effect that the expansion of the digital economy has on the level of carbon emission intensity that is produced by industry. The research yielded the following primary conclusions. (1) The digital economy effectively reduces the industrial carbon intensity via three distinct mechanisms: enhancements to the technological and innovative capacities of China, improvements in energy efficiency, and enhancements to the country’s overall industrial structure. (2) Regions where industrialization and digitization are highly integrated and developing, as well as the early pilot regions of the Comprehensive Big Data Pilot Zones, are particularly susceptible to this inhibitory effect. This research offers a theoretical backing for advancements in the digital economy; the achievement of energy-saving and carbon-reducing sustainable development objectives; and the establishment of green, ecologically friendly, and recycling development strategies. Full article
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<p>Mechanisms of the digital economy affecting industrial carbon emissions.</p>
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<p>Time-series diagram of the digital economy and carbon emission intensity.</p>
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23 pages, 2081 KiB  
Article
Can Low-Carbon City Pilot Policy Promote Regional Green High-Quality Development?
by Chao Zeng, Shanying Jiang and Fengxiu Zhou
Sustainability 2024, 16(13), 5520; https://doi.org/10.3390/su16135520 - 28 Jun 2024
Cited by 2 | Viewed by 1369
Abstract
Studying the implementation benefits of low-carbon city pilot policies in fostering green, high-quality development is critical for China’s carbon peaking and neutrality targets. This research examines the effect of urban low-carbon governance on green, high-quality development using a multi-temporal DID model and panel [...] Read more.
Studying the implementation benefits of low-carbon city pilot policies in fostering green, high-quality development is critical for China’s carbon peaking and neutrality targets. This research examines the effect of urban low-carbon governance on green, high-quality development using a multi-temporal DID model and panel data from 281 prefecture-level cities in China from 2007 to 2020. The findings are as follows: (1) low-carbon city pilot policy can considerably enhance green high-quality development in pilot cities; (2) mechanism tests reveal that fintech and urban innovation moderate the role of power support and wisdom empowerment in the successful promotion of low-carbon cities to achieve green high-quality development in pilot areas; (3) the policy effect becomes more significant as fintech and urban innovation cross the threshold value; (4) heterogeneity analysis shows that low-carbon city pilot policy is more conducive to green high-quality development in eastern regions, financially developed cities, and non-resource-based cities. The conclusions drawn from this paper offer valuable guidance for China’s adoption of appropriate environmental policy designs aimed at attaining high-quality green development. Full article
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<p>Results of parallel trend test.</p>
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<p>Placebo test.</p>
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<p>Kernel density plot of propensity score values.</p>
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<p>The moderating effect of fintech and urban innovation.</p>
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<p>Single threshold estimate LR diagram.</p>
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23 pages, 1327 KiB  
Article
Can the Synergy of Digitalization and Servitization Boost Carbon-Related Manufacturing Productivity? Evidence from China’s Provincial Panel Data
by Gang Li, Yanan Chen and Yan Cheng
Sustainability 2024, 16(7), 2655; https://doi.org/10.3390/su16072655 - 24 Mar 2024
Cited by 1 | Viewed by 962
Abstract
With the goal of carbon peaking and neutrality, carbon productivity has become a means of sustainability in manufacturing, and the impact of the synergy of digitalization and servitization (DSS) on carbon productivity (CP) deserves in-depth study. Based on data with respect to manufacturing [...] Read more.
With the goal of carbon peaking and neutrality, carbon productivity has become a means of sustainability in manufacturing, and the impact of the synergy of digitalization and servitization (DSS) on carbon productivity (CP) deserves in-depth study. Based on data with respect to manufacturing in 30 provinces in China from 2013 to 2020, a coupled coordination degree model is used to calculate the degree of manufacturing coordination. A regression effect model is used to explore the intrinsic mechanism of the impact of DSS on CP. The main results show the following: (1) The DSS in manufacturing positively contributes to enhancing CP, and there are non-linear features in both. (2) Technological innovation can contribute to the impact of DSS on CP, as does industry structure, and there is a mediating effect between the two. (3) When economic growth is used as the threshold, DSS and CP reflect a positive “U” relationship. Based on the above findings, policy recommendations are made to promote the sustainable development of manufacturing. Full article
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<p>Manufacturing DSS degree of 30 provinces in China, 2013–2020.</p>
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<p>Average level of DSS in manufacturing, 2013–2020.</p>
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<p>Single threshold estimates and 95% confidence intervals for DSS.</p>
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<p>Dual threshold estimates and 95% confidence intervals for economic growth.</p>
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21 pages, 2622 KiB  
Article
Examination of Green Productivity in China’s Mining Industry: An In-Depth Exploration of the Role and Impact of Digital Economy
by Chuandi Fang, Yue Yuan, Jiahao Chen, Da Gao and Jing Peng
Sustainability 2024, 16(1), 463; https://doi.org/10.3390/su16010463 - 4 Jan 2024
Cited by 3 | Viewed by 2288
Abstract
Faced with the challenges of increasing demand and expanding emissions, China’s mining industry is at a crucial stage of sustainable development. In the context of the new technological revolution and industrial transformation, researching how the digital economy can promote the growth of green [...] Read more.
Faced with the challenges of increasing demand and expanding emissions, China’s mining industry is at a crucial stage of sustainable development. In the context of the new technological revolution and industrial transformation, researching how the digital economy can promote the growth of green total factor productivity (GTFP) in China’s mining industry, particularly against the backdrop of technological diversity, is vital for achieving sustainable development and carbon neutrality goals. This study utilizes the meta-frontier Malmquist–Luenberger (MML) index to analyze the dynamics of GTFP in China’s mining industry under technological heterogeneity. It thoroughly examines the direct and indirect impacts of the digital economy (DE) on GTFP and delves into the underlying mechanisms of these effects using the spatial Durbin model. The empirical results reveal a significant positive relationship between DE and GTFP, particularly pronounced in the areas of technical efficiency and technological catch-up. Notably, this study identifies the mediating role of industrial structural upgrading in linking DE and GTFP. Additionally, the observed spatial spillover effect of DE on local mining GTFP suggests that the influence of DE extends beyond the immediate regions within the mining sector. Based on these findings, the study presents policy recommendations, emphasizing the need to integrate cutting-edge digital technologies in mining to enhance environmental sustainability. Full article
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<p>Digital economy size and its share of GDP in various countries, 2021. Data source: China Academy of Information and Communications Technology, 2022 [<a href="#B4-sustainability-16-00463" class="html-bibr">4</a>].</p>
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<p>Mechanism analysis of digital economy on mining GTFP.</p>
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<p>Geographic trends of the digital economy in 2021.</p>
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<p>Geographic trends of GTFP in China’s mining industry for the year 2021.</p>
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<p>Average of mining GTFP (2008–2021).</p>
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<p>Scatter plot of local Moran’s I in 2015 and 2021.</p>
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20 pages, 590 KiB  
Article
Can Digital Finance Contribute to Agricultural Carbon Reduction? Evidence from China
by Yangjie Liao and Xiaokun Zhou
Sustainability 2023, 15(22), 15824; https://doi.org/10.3390/su152215824 - 10 Nov 2023
Cited by 3 | Viewed by 1420
Abstract
The existing research covers digital finance’s carbon reduction impacts in industrial and urban settings, however, leaving a gap in understanding its effects in agriculture. This study addresses this gap by examining the relationship and mechanism between digital finance and agricultural carbon reduction. Two [...] Read more.
The existing research covers digital finance’s carbon reduction impacts in industrial and urban settings, however, leaving a gap in understanding its effects in agriculture. This study addresses this gap by examining the relationship and mechanism between digital finance and agricultural carbon reduction. Two hypotheses are proposed to guide the study: (1) The development of digital finance could reduce agricultural carbon emissions; (2) The development of digital finance could significantly promote agricultural green innovation, empowering agricultural carbon emission reduction. By employing panel data spanning 31 provinces from 2011 to 2020, we empirically investigate the relationship between digital finance development and a reduction in agricultural carbon emissions. The results indicate that digital financial development significantly reduces agricultural carbon emissions. Mechanism analysis further elucidates the pivotal role of digital finance in facilitating agricultural green innovation, resulting in a decline in agricultural carbon emissions. Additionally, heterogeneity analysis reveals that the impact of digital finance on agricultural carbon emission reduction is particularly pronounced in regions with higher income levels and greater educational attainment. The study offers empirical evidence on the nexus between digital finance and agricultural carbon emissions, from a developing country perspective. It could provide innovative ideas and experiences from China for global agricultural low-carbon development practices. Full article
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<p>Agricultural carbon emissions and ACE growth rate in China during 2011−2020.</p>
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<p>Agricultural carbon emission and carbon intensity of 31 provinces in China in 2020.</p>
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20 pages, 2222 KiB  
Article
Study on Regional Differences of Carbon Emission Efficiency: Evidence from Chinese Construction Industry
by Senchang Hu, Shaoyi Li, Xiangxin Meng, Yingzheng Peng and Wenzhe Tang
Energies 2023, 16(19), 6882; https://doi.org/10.3390/en16196882 - 29 Sep 2023
Cited by 2 | Viewed by 1094
Abstract
The escalating issue of global climate change necessitates urgent measures to reduce carbon emissions globally. Within this context, the construction industry emerges as a critical sector to address given its high energy consumption, substantial CO2 emissions, and low utilization rate. Therefore, it [...] Read more.
The escalating issue of global climate change necessitates urgent measures to reduce carbon emissions globally. Within this context, the construction industry emerges as a critical sector to address given its high energy consumption, substantial CO2 emissions, and low utilization rate. Therefore, it is pivotal to foster energy conservation and reduce emissions in this sector. To this end, this paper delineates two primary objectives: (1) identifying optimal research methodologies and index parameters for evaluating carbon emission efficiency in the construction industry, and (2) assessing the variance in carbon emission efficiency at disparate stages and regions. Leveraging the Malmquist index, we scrutinize the carbon emission data from 30 Chinese provinces spanning from 2010 to 2019. Our findings indicate a geographical dichotomy in China’s construction industry’s carbon emission efficiency—lower in the west and higher in the east. Additionally, this study delves into the distinguishing features of emission efficiency alterations across regions, the main influencing factors, and avenues for enhancement. Subsequently, it proposes policy recommendations tailored to the unique attributes of various regions and the overarching framework. Full article
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<p>Changes in carbon emission efficiency in different regions of China.</p>
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<p>Distribution of carbon emission efficiency in various provinces in China.</p>
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<p>Malmquist Index of Carbon Emission Efficiency in China’s Construction Industry, 2010–2019. (<b>a</b>) Malmquist Index in 2010–2011. (<b>b</b>) Malmquist Index in 2012–2013. (<b>c</b>) Malmquist Index in 2014–2015. (<b>d</b>) Malmquist Index in 2016–2017. (<b>e</b>) Malmquist Index in 2018–2019.</p>
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<p>Malmquist index decomposition of carbon emission efficiency in various regions of China from 2010 to 2019.</p>
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19 pages, 2233 KiB  
Article
Can Fintech Lead to the Collaborative Reduction in Pollution Discharges and Carbon Emissions?
by Huwei Wen and Yutong Liu
Sustainability 2023, 15(15), 11627; https://doi.org/10.3390/su151511627 - 27 Jul 2023
Cited by 12 | Viewed by 1719
Abstract
Pollutants and greenhouse gases are major challenges to regional and global sustainability, respectively, and regulatory policies always target one of them. Using panel data, including those of fintech, economy, society, and environment for the prefecture-level cities in China, this study aimed to investigate [...] Read more.
Pollutants and greenhouse gases are major challenges to regional and global sustainability, respectively, and regulatory policies always target one of them. Using panel data, including those of fintech, economy, society, and environment for the prefecture-level cities in China, this study aimed to investigate the role of fintech in regional pollution control and carbon emission reduction. It was found that fintech not only significantly reduces pollutant and carbon dioxide emissions, but can also significantly promote the coordination between pollution control and carbon reduction. This study also adopted a pilot policy of integrating technology and finance for a differences-in-differences regression and identified the causal effects of fintech on the collaborative reduction in pollution and carbon emissions. In addition, innovation factors play a crucial role in the collaborative implementation process of pollution control and carbon reduction driven by fintech. Specifically, fiscal technology expenditure and regional innovation have significant moderating effects on pollution control and carbon reduction, while green innovation has a significant mediating effect. Our findings contribute to optimizing financial and regulatory policies, thereby enabling fintech to leverage the momentum of regional pollution control and carbon reduction. Full article
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<p>Correlation coefficients of key variables. Notes: The larger the circular bubble in the figure, the stronger the correlation coefficient, and different colors represent the classification of the correlation coefficient.</p>
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<p>Linear fitting the nexus of fintech and pollution and carbon emissions.</p>
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<p>Marginal effects of Fintech under the condition of Fiscal_Tech. Notes: The dashed line represents the confidence interval estimate at the 95% level. The shadow area represents the distribution of the variable.</p>
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<p>Marginal effects of Fintech under the condition of lnInnovation. Notes: The dashed line represents the confidence interval estimate at the 95% level. The shadow area represents the distribution of the variable.</p>
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18 pages, 1247 KiB  
Article
Renewable Energy: A Curse or Blessing—International Evidence
by Ruoxuan Li, Huwei Wen, Xinpeng Huang and Yaobin Liu
Sustainability 2023, 15(14), 11103; https://doi.org/10.3390/su151411103 - 17 Jul 2023
Cited by 6 | Viewed by 1529
Abstract
The development of renewable energy has effectively promoted the process of reaching global carbon neutrality. However, the academic community has not reached a consensus on whether the development of renewable energy will inhibit economic growth. The crux of the debate centers around whether [...] Read more.
The development of renewable energy has effectively promoted the process of reaching global carbon neutrality. However, the academic community has not reached a consensus on whether the development of renewable energy will inhibit economic growth. The crux of the debate centers around whether renewable energy paradigms ignore differences in the structure of factor endowments across countries. The panel data of 125 countries from 1990 to 2021 were used to perform group regression for countries with different factor endowment structures. The results show that the renewable energy curse of developed countries becomes stronger and weaker with economic development; the renewable energy curse in developing countries is growing with economic growth; and the economic development of countries with poor natural resources is more vulnerable to the negative impact of renewable energy development. The group regression results of different development stages of renewable energy show that the negative impact of renewable energy development on economic development is not significant in the early stage, but that it has significant impacts in the growth and maturity stage. The mechanism test found that the development of renewable energy affected changes in trade structure and inhibited economic growth. Full article
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<p>The impact of renewable energy development on economic development.</p>
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<p>Marginal effects of renewable energy development on countries with different economic development levels.</p>
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<p>Marginal effects of renewable energy development on countries with different natural resource abundance.</p>
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