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25 pages, 2199 KiB  
Article
The Formation of New Quality Productivity of Agriculture Under the Perspectives of Digitalization and Innovation: A Dynamic Qualitative Comparative Analysis Based on the “Technology-Organization-Environment” Framework
by Wei Luo, Shanxiang Zuo, Shengfa Tang and Changgui Li
Sustainability 2025, 17(2), 597; https://doi.org/10.3390/su17020597 - 14 Jan 2025
Abstract
The formation and development of new quality productivity of agriculture can effectively promote agricultural sustainability and modernization. In order to explore the multiple paths of the formation of new quality productivity of agriculture, using the panel data of 30 provincial levels in China [...] Read more.
The formation and development of new quality productivity of agriculture can effectively promote agricultural sustainability and modernization. In order to explore the multiple paths of the formation of new quality productivity of agriculture, using the panel data of 30 provincial levels in China from 2012 to 2021, based on the “technology-organization-environment” framework and dynamic QCA method, this paper explores how seven factors such as agricultural technology innovation, digital infrastructure, innovation policy support, the formation of e-commerce industry, marketization level, green finance, and rural culture modernization interact to promote the formation of new quality productivity of agriculture. The findings reveal that none of the above seven factors can promote the formation of new quality productivity of agriculture, and agricultural technological innovation and digital infrastructure are becoming more and more important to the formation of new quality productivity of agriculture over time. The high new quality productivity of agriculture formation models can be categorized into four types: TOE empowers new business model development-driven, government–market–culture triple-driven, market-oriented efficient transformation of technological achievements-driven, and deep integration of agricultural technological innovation and emerging agricultural business models-driven. The configurational results exhibit significant regional effects, with diverse pathways for the formation of new quality productivity of agriculture across different provinces. Full article
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<p>Theoretical model.</p>
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<p>Trends in inter-group consistency of conditional variables.</p>
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<p>Scatter plot matrix for testing necessary conditions.</p>
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<p>Trends in inter-group consistency of configurations.</p>
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21 pages, 1838 KiB  
Article
Effect of Green Entrepreneurial Orientation and Absorptive Capacity on Green Innovation and Environmental Orientation Among Educated Gen Z’s in Europe
by Adam Figiel and Ayesha Badar
Sustainability 2025, 17(2), 593; https://doi.org/10.3390/su17020593 - 14 Jan 2025
Viewed by 158
Abstract
The study evaluates the interest of business-educated Gen Z in pursuing careers in various industries and their potential to accelerate Green Innovation (GI). It specifically focuses on Gen Z in Europe, who are business-educated and pursuing their career in different industry sectors, and [...] Read more.
The study evaluates the interest of business-educated Gen Z in pursuing careers in various industries and their potential to accelerate Green Innovation (GI). It specifically focuses on Gen Z in Europe, who are business-educated and pursuing their career in different industry sectors, and aiming to address climate change and sustainable practices. By adopting Green Entrepreneurial Orientation (GEO) and building Absorptive Capacity (AC), companies can significantly contribute to improving Environmental Orientation (EO) by appealing to Gen Z—their future employees and customers. The study aims to survey 280 business-educated Gen Z people in Europe. The findings of the study show that the relationship between absorptive capacity and environmental orientation is not always significant, and the impact can be negligible, specifically when the firms have a low commitment to environmental strategies and have a limited strategic emphasis on sustainable practices. The study aims to encourage innovation and sustainable growth among firms, opening the door to a more sustainable future and attracting goodwill from environmentally oriented Generation Z. The publication/article presents the results of the project financed from the subsidy granted to the Krakow University of Economics. Full article
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<p>Theoretical framework.</p>
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<p>Details of the statistical demographics of the data.</p>
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<p>Measurement model.</p>
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<p>Structural model.</p>
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28 pages, 3444 KiB  
Article
Facilitating or Hindering? The Impact of Low-Carbon Pilot Policies on Socio-Ecological Resilience in Resource-Based Cities
by Yanran Peng, Zhong Wang, Yunhui Zhang and Wei Wang
Land 2025, 14(1), 147; https://doi.org/10.3390/land14010147 - 13 Jan 2025
Viewed by 303
Abstract
Low-carbon pilot policies are essential for the green transformation of resource-based cities, helping them mitigate the “carbon curse” and the “resource curse” while promoting sustainable socio-ecological development. Focusing on a panel of 114 resource-based cities in China, spanning from 2003 to 2022, this [...] Read more.
Low-carbon pilot policies are essential for the green transformation of resource-based cities, helping them mitigate the “carbon curse” and the “resource curse” while promoting sustainable socio-ecological development. Focusing on a panel of 114 resource-based cities in China, spanning from 2003 to 2022, this study employs a range of methodologies, including kernel density estimation, the Difference-in-Differences Model, Spatial Difference-in-Differences, Mediation Analysis, K-means Clustering, and Dual Machine Learning to assess the consequences of low-carbon pilot policies on socio-ecological resilience. The findings indicate that the socio-ecological resilience of the study area has generally improved, though there is noticeable polarization. Low-carbon pilot policies significantly enhance the resilience of resource-based cities by 0.4%, and they exhibit a positive spatial spillover effect of 1.1%. However, the long-term effects of the policies on economic resilience were not significant, and the policies did not have a direct impact on the social resilience of the pilot cities; however, they did promote social resilience in neighboring regions. Finally, the effectiveness of low-carbon pilots varies, with more pronounced benefits in declining and mature resource cities, particularly in those with medium ecological and economic resilience, and low social resilience. Green finance, industrial transformation, and carbon emission efficiency are identified as key strategies for improving socio-ecological resilience. The above findings provide insights for policymakers seeking to foster inclusive, resilient, and sustainable urban development in China. Full article
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<p>Study area pilot.</p>
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<p>Kernel density of spatial differentiation of the socio-ecological resilience of resource-based cities, 2003–2022. (<b>a</b>) Socio-ecological resilience kernel density; (<b>b</b>) Economic resilience kernel density; (<b>c</b>) Social resilience kernel density; (<b>d</b>) Ecological resilience kernel density.</p>
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<p>Parallel trend test results. The solid line represents the estimated dynamic policy effects over time, with the vertical dashed lines indicating the 99% confidence interval. The horizontal line (zero line) serves as the baseline to assess whether the policy effect differs significantly from zero, while the vertical dashed line on the x-axis marks the policy implementation time, establishing the baseline for the test.</p>
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<p>Placebo test results. The placebo test results are shown as follows: The solid line represents the kernel density estimation of the variable, reflecting the distribution of the estimated values. The dashed line marks the reference significance level (baseline at <span class="html-italic">p</span>-value = 0.10), while the blue dots represent the <span class="html-italic">p</span>-values for each estimated value, illustrating how significance levels change with the estimated values.</p>
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<p>Variable differences before and after propensity score matching. This figure is used to assess whether the PSM effectively balances the distribution of covariates between the treatment and control groups. If the matched points are closer to zero, it indicates that the PSM has effectively improved the balance of covariates. The matched points in the figure are closer to zero, indicating a good matching effect.</p>
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<p>Local Moran’s Index. Using the plotting module in Stata, local Moran’s scatter plots of socio-ecological resilience for resource-based cities in 2003, 2009, 2015, and 2022 were drawn, to examine whether the results are concentrated along a straight line. (<b>a</b>) Localized Moran’s Index, 2003; (<b>b</b>) Localized Moran’s Index 2009; (<b>c</b>) Localized Moran’s Index 2015; (<b>d</b>) Localized Moran’s Index in 2022.</p>
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<p>Distribution of socio-ecological resilience values for two different types of cities. (<b>a</b>) Socio-ecological resilience of HHM; (<b>b</b>) Socio-ecological resilience of MML.</p>
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<p>Policy implications for socio-ecological resilience in different types of pilot cities. Using double machine learning in Python, the impact coefficients of low-carbon policies are assessed. The plotting module is used to generate a chart of policy impact coefficients, with the vertical axis representing the impact coefficients, *, **, and *** correspond to significance levels of 10%, 5%, and 1%, respectively. (<b>a</b>) Impact of <span class="html-italic">LCCP</span> on the <span class="html-italic">SESR</span> of MML-cities; (<b>b</b>) Impact of <span class="html-italic">LCCP</span> on the <span class="html-italic">SESR</span> of HHM-cities.</p>
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29 pages, 1124 KiB  
Article
Evaluating the Progress of the EU Countries Towards Implementation of the European Green Deal: A Multiple Criteria Approach
by Giovanni Ottomano Palmisano, Lucia Rocchi, Lorenzo Negri and Lea Piscitelli
Land 2025, 14(1), 141; https://doi.org/10.3390/land14010141 - 11 Jan 2025
Viewed by 273
Abstract
The European Green Deal (EGD) is a package of policy initiatives launched by the European Commission in December 2019, which aims to set the European Union (EU) on the path to a green transition with the final goal of achieving climate neutrality by [...] Read more.
The European Green Deal (EGD) is a package of policy initiatives launched by the European Commission in December 2019, which aims to set the European Union (EU) on the path to a green transition with the final goal of achieving climate neutrality by 2050. The package includes interlinked initiatives covering the climate, the environment, energy, transport, industry, agriculture, and sustainable finance. It is thus evident that holistic and scientifically sound decision support systems are crucial to help EU policymakers and stakeholders in monitoring the progress of countries towards the implementation of the EGD. Indeed, the multidimensionality of this policy initiative lends itself well to its integration into a Multiple Criteria Decision Aiding (MCDA) approach to the identification of priorities for action. Therefore, this research aims to evaluate the progress of the EU countries towards the implementation of the European Green Deal, using MCDA. The PROMETHEE II method was applied to the data for EU countries, using 26 key indicators collected from the Eurostat database and organized into three thematic clusters. The results enabled us to calculate overall scores measuring the degree of implementation of the EGD by the EU countries, and their profiles with respect to the key indicators and thematic clusters. By analyzing these profiles, strengths and weaknesses were identified. Thus, the fundamental novelty of this research consists of the first concrete application of a holistic and ‘ready-to-use’ decision-making tool that can be adopted by EU policymakers and stakeholders to draw up a roadmap towards climate neutrality. Full article
(This article belongs to the Section Land Environmental and Policy Impact Assessment)
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<p>The range of values and median of the overall and cluster scores (net outranking flow, φ).</p>
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<p>Joint analysis of the thematic cluster scores (CI, PH, GJ) and the overall score (net outranking flow, φ). (<b>A</b>) EU countries with positive values of the overall score, (<b>B</b>) those with negative values. In both figures, the <span class="html-italic">x</span>-axis reports the PH score, the <span class="html-italic">y</span>-axis reports the CI score, and the colors of the bubbles represent the GJ score. The overall score is represented by the dimensions of the bubbles.</p>
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39 pages, 7444 KiB  
Article
Environmental Management and Decarbonization Nexus: A Pathway to the Energy Sector’s Sustainable Futures
by Abdel-Mohsen O. Mohamed, Dina Mohamed, Adham Fayad and Moza T. Al Nahyan
World 2025, 6(1), 13; https://doi.org/10.3390/world6010013 - 9 Jan 2025
Viewed by 291
Abstract
This paper examines the complex interplay between environmental management (EM) and decarbonization, highlighting how these domains can be seamlessly integrated to create a comprehensive framework for sustainable futures in the energy sector. The framework emphasizes the adoption of green technologies, energy efficiency measures, [...] Read more.
This paper examines the complex interplay between environmental management (EM) and decarbonization, highlighting how these domains can be seamlessly integrated to create a comprehensive framework for sustainable futures in the energy sector. The framework emphasizes the adoption of green technologies, energy efficiency measures, and innovative carbon capture, utilization, and storage (CCUS) technologies and infrastructures. Central to this approach are circular economy principles, low-greenhouse gas (GHG) emissions production processes, and CCUS strategies. A conceptual model of the EM–decarbonization nexus, comprising six enablers, was developed and illustrated with practical examples from various countries and regions worldwide. The findings reveal significant progress in advancing EM and decarbonization efforts. However, additional support from governments and the private sector is imperative in areas such as research and development, equitable transfer of renewable energy technologies, infrastructure for energy transitions, energy storage systems, green financing mechanisms, public education and community outreach, public–private partnerships, international cooperation, active engagement in global organizations, and the deployment of digital solutions. By addressing these areas, a sustainable future for the energy sector can be realized. Full article
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<p>Carbon dioxide emissions (i.e., total in Gt, and per capita, t/capita) in various countries and regions from different worldwide locations, 2023.</p>
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<p>Conceptual design of the EM and decarbonization nexus.</p>
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<p>Interaction between EM and decarbonation.</p>
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<p>EM decarbonation nexus.</p>
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<p>Key pathways from the central nexus toward sustainable futures.</p>
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<p>Energy demand in various countries and regions from different worldwide locations, 2023.</p>
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<p>GHG emissions from the energy sector.</p>
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<p>Global energy mix and consumption in selected sectors. (<b>a</b>) Supply of global energy mix. (<b>b</b>) Source of energy consumption in selected sectors in 2023.</p>
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<p>Percentage contribution of clean energy technologies to decarbonation in 2023.</p>
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<p>Estimated energy investment, 2024.</p>
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<p>GHG emissions from various transportation systems.</p>
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<p>Status of the carbon capture, utilization, and storage (CCUS) facilities and distribution.</p>
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<p>Relationship between the circular economy and decarbonization, supported by EM.</p>
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<p>Policy instruments and investment used to support the ultra-high-voltage (UHV) electricity transmission technology in China from 2014 to 2021. (<b>a</b>) UHV policy support areas. (<b>b</b>) Total issued policies and investments.</p>
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<p>Policy instruments used to support PV technology and production in China from 2014 to 2021. (<b>a</b>) PV policy support areas. (<b>b</b>) PV production.</p>
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<p>Government spending on energy research and development by region.</p>
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<p>Annual energy sector investment by sector, 2024.</p>
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<p>Annual energy sector investment in 2023 by various countries and regions.</p>
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<p>Characteristics of energy sector financing, 2023.</p>
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<p>Worldwide renewable energy manufacturing investments, 2020–2024.</p>
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<p>Energy employment by technology, 2023.</p>
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<p>Estimated manufacturing costs of clean energy technologies in different countries. (<b>a</b>) Costs for solar, wind, and electrolyzers. (<b>b</b>) Cost for batteries.</p>
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<p>Import status of oil and gas, 2023.</p>
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29 pages, 3876 KiB  
Article
The Power of Collaboration: How Does Green Innovation Network Affect Urban Green Total Factor Productivity?
by Hongrui Jiao, Hongbing Deng and Shengmei Hu
Sustainability 2025, 17(2), 433; https://doi.org/10.3390/su17020433 - 8 Jan 2025
Viewed by 397
Abstract
Global climate change has necessitated a transition to sustainable development, prompting nations to prioritize green total factor productivity (GTFP) as a key indicator of economic and environmental efficiency. This study examines the role of the green innovation network (GIN) in enhancing urban GTFP [...] Read more.
Global climate change has necessitated a transition to sustainable development, prompting nations to prioritize green total factor productivity (GTFP) as a key indicator of economic and environmental efficiency. This study examines the role of the green innovation network (GIN) in enhancing urban GTFP within China’s Yangtze River Delta (YRD)—a region pivotal to national economic growth and ecological sustainability. Using data from 41 cities spanning 2011 to 2020, we constructed the GIN based on inter-city green cooperative patents and analyzed the network positions of cities using a social network analysis (SNA). Urban GTFP was assessed through the Super-SBM model, and two-way fixed-effects panel models, along with a threshold effect model, were applied to evaluate the impacts of GIN on GTFP. The findings reveal that stronger network positions within the GIN significantly enhance urban GTFP, with green finance further amplifying this effect. These results provide actionable insights for policymakers in developing countries, highlighting the importance of integrated innovation strategies and enhanced green financial systems to promote sustainable urban development. Full article
(This article belongs to the Topic Green Technology Innovation and Economic Growth)
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<p>Proportion of wastewater, sulfur dioxide, and dust emissions in the YRD region relative to national totals.</p>
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<p>Growth of green cooperative patents and their proportion in the YRD region.</p>
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<p>Research framework.</p>
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<p>Theoretical framework.</p>
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<p>Flow chart of the construction of GIN.</p>
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<p>Evolution of GIN and GTFP in YRD region.</p>
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<p>LR function graph of the panel threshold effect.</p>
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21 pages, 812 KiB  
Article
Fintech and Corporate ESG Performance: An Empirical Analysis Based on the NEV Industry
by Xinhao Huang, Di Li and Meng Sun
Sustainability 2025, 17(2), 434; https://doi.org/10.3390/su17020434 - 8 Jan 2025
Viewed by 407
Abstract
With the strategic background of accelerating the transformation of the low-carbon economy in China, how to better help the new energy automobile industry realize green and high-quality development under the goal of “dual-carbon” with the strengthening of science and technology has become one [...] Read more.
With the strategic background of accelerating the transformation of the low-carbon economy in China, how to better help the new energy automobile industry realize green and high-quality development under the goal of “dual-carbon” with the strengthening of science and technology has become one of the most important issues nowadays, and it is of great significance to explore the relationship between financial technology (fintech) and the environmental, social, and governance (ESG) performance of the new energy automobile (NEV) industry. Using panel data from NEV companies listed on the Shanghai and Shenzhen A-share markets between 2011 and 2022, this study applies text mining techniques to construct a fintech index and analyze the transmission mechanisms through which fintech influences ESG performance. The findings show that fintech directly improves ESG outcomes for NEV companies, a result that remains robust across a series of validation tests. The analysis reveals that fintech reduces financing constraints and enhances corporate environmental information disclosure, which in turn drives better ESG performance. Furthermore, the impact of fintech is particularly pronounced in state-owned enterprises, large-scale firms, and technologically advanced NEV companies, as evidenced by heterogeneity analysis. This study provides empirical insights into fintech’s role in advancing sustainable development in the NEV sector, offering guidance for policymakers and industry stakeholders aiming to align technological progress with environmental and social governance objectives. Full article
(This article belongs to the Special Issue Low Carbon Energy and Sustainability—2nd Edition)
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<p>Heterogeneity regression results visualization.</p>
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20 pages, 1144 KiB  
Article
Research on the Role of Digital Finance in Urban Green Innovation
by Li Diao, Xinpeng Zhao, Wenlong Xie and Jiahao Liu
Reg. Sci. Environ. Econ. 2025, 2(1), 3; https://doi.org/10.3390/rsee2010003 - 8 Jan 2025
Viewed by 295
Abstract
Promoting green innovation is an important way to implement the dual carbon strategy and build an innovative country. Based on the panel data of 250 cities in China from 2011 to 2018, this paper constructs a two-way fixed-effect model, an intermediary effect model [...] Read more.
Promoting green innovation is an important way to implement the dual carbon strategy and build an innovative country. Based on the panel data of 250 cities in China from 2011 to 2018, this paper constructs a two-way fixed-effect model, an intermediary effect model and a spatial Durbin model, and empirically studies the impact and mechanism of digital finance on urban green innovation. The results show that digital finance can improve the ability of urban green innovation, and its enabling effect mainly comes from improving the financial service model and improving the digital level. However, the role of digital finance in improving the efficiency of green innovation is not significant. Digital finance can promote urban green innovation by promoting the development of the Internet and alleviating the distortion of labor factors. A good environment for innovation will enhance the role of digital finance in promoting green innovation. Through further analysis, the spatial spillover effect of digital finance on green innovation at this stage is dominated by the siphon effect while the “trickle-down” effect is blocked. Full article
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<p>Theoretical hypothesis diagram.</p>
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<p>Theoretical model and conclusion diagram.</p>
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21 pages, 666 KiB  
Article
Digital Inclusive Finance and Carbon Emission Efficiency: Evidence from China’s Economic Zones
by Wei Jia, Zhihao Wang and Lei Liu
Sustainability 2025, 17(2), 409; https://doi.org/10.3390/su17020409 - 8 Jan 2025
Viewed by 401
Abstract
In the current tide of technological revolution and industrial transformation, digitalization and greening have surfaced as two prominent trends, serving as the inherent requisites and impelling forces of new productive forces. Augmenting carbon emission efficiency is a crucial pathway for attaining green development. [...] Read more.
In the current tide of technological revolution and industrial transformation, digitalization and greening have surfaced as two prominent trends, serving as the inherent requisites and impelling forces of new productive forces. Augmenting carbon emission efficiency is a crucial pathway for attaining green development. Digital inclusive finance, as an innovative financial paradigm, is a significant determinant influencing carbon emission efficiency and the progression of green development. By harnessing panel data from 108 cities within the Yangtze River Economic Belt spanning from 2011 to 2021, this study deploys the super-efficiency SBM model to gauge carbon emission efficiency. Additionally, it employs fixed effects and mediating mechanism models to empirically scrutinize the impact of digital inclusive finance on carbon emission efficiency within urban agglomerations in the Yangtze River Economic Belt. The study further probes its spatial effects through a spatial Durbin model. The research findings disclose that digital inclusive finance can substantially augment carbon emission efficiency in regional cities along the Yangtze River Economic Belt, manifesting notable regional correlations. This enhancement is accomplished by propelling industrial structure upgrades and augmenting scientific and technological capabilities. To enhance carbon emission efficiency in the Yangtze River Economic Belt, efforts should be centered around advancing digital inclusive finance, expediting industrial structural transformation, and fortifying scientific and technological development. Full article
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<p>Mediation mechanism flowchart. Note: ***, **, and * represent significance levels of 1%, 5%, and 10%, respectively. Source: Compiled and calculated by the authors.</p>
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<p>Local Moran scatter plot: (<b>A</b>) 2011; (<b>B</b>) 2021. Source: Compiled and calculated by the authors.</p>
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27 pages, 4197 KiB  
Article
Towards New Strategies for Investing: Insights on Sustainable Exchange-Traded Funds (ETFs)
by Nini Johana Marín-Rodríguez, Juan David González-Ruíz and Sergio Botero
World 2025, 6(1), 8; https://doi.org/10.3390/world6010008 - 6 Jan 2025
Viewed by 565
Abstract
As investors increasingly incorporate environmental, social, and governance (ESG) factors into their decision-making, sustainable Exchange-Traded Funds (ETFs) have gained prominence in both investment portfolios and financial research. This study aims to provide a comprehensive analysis of the Sustainable ETF research landscape by utilizing [...] Read more.
As investors increasingly incorporate environmental, social, and governance (ESG) factors into their decision-making, sustainable Exchange-Traded Funds (ETFs) have gained prominence in both investment portfolios and financial research. This study aims to provide a comprehensive analysis of the Sustainable ETF research landscape by utilizing scientometric and bibliometric methods with tools such as VOSviewer, Bibliometrix, and CiteSpace. Drawing from the Web of Science and Scopus databases, the study identifies key thematic areas, influential authors, and emerging trends. The findings highlight the conceptual evolution of Green ETFs, from early definitions focused on ESG-aligned investments to more complex instruments incorporating diversified screening criteria and advanced technologies like machine learning and artificial intelligence. Practical challenges such as regulatory inconsistencies, high implementation costs, and limited investor education are underscored as critical barriers to broader adoption. Future trends reveal the growing role of blockchain technology for ESG verification, crisis-specific ETF models, and the development of more inclusive screening strategies. Strategically, Green ETFs demonstrate resilience during market volatility and support sustainability-driven investment frameworks. The study provides valuable insights for investors, policymakers, and researchers, emphasizing Green ETFs’ role in driving sustainable finance and offering actionable guidance for optimizing ESG investment strategies. Full article
(This article belongs to the Special Issue The Role of Green Finance in Economic Development)
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<p>Literature search strategy. Note: the search query in the figure utilizes the asterisk (*) as a truncation symbol to broaden the search scope by including all possible word variations that share the same root. For instance, sustainab* retrieves terms such as “sustainable”, “sustainability”, and “sustainabilities”. Similarly, exchange-traded fund* encompasses "exchange-traded funds" and other variations. This approach ensures a comprehensive retrieval of relevant literature within the specified scope of ETFs (exchange-traded funds) and sustainability-related topics.</p>
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<p>Differences and similarities between bibliometrics and scientometrics. Source: authors’ own research based on [<a href="#B12-world-06-00008" class="html-bibr">12</a>,<a href="#B13-world-06-00008" class="html-bibr">13</a>].</p>
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<p>Scientific production output. Source: authors’ own research based on Bibliometrix tool with data sourced from Scopus and WoS datasets.</p>
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<p>Analysis of sources. (<b>a</b>) Most relevant sources and (<b>b</b>) Most local cited sources. Source: compiled from our research utilizing the Bibliometrix tool, with data sourced from Scopus and WoS datasets.</p>
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<p>Authors’ country analysis: (<b>a</b>) corresponding authors’ countries and (<b>b</b>) most cited countries. Source: compiled from our research utilizing the Bibliometrix tool, with data sourced from Scopus and WoS datasets.</p>
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<p>The top 10 institutions with studies in Sustainable ETFs. (<b>a</b>) Most relevant affiliations and (<b>b</b>) Affiliations network. Source: compiled from our research utilizing the Bibliometrix and VOSviewer tools, with data sourced from Scopus and WoS datasets.</p>
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<p>Historiographic map. Source: compiled from our research utilizing the Bibliometrix tool, Scopus, and WoS datasets.</p>
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<p>The most frequent keywords and Keywords Plus identified in the study of Sustainable ETFs. Source: compiled from our research utilizing the VOSviewer tool and the Scopus and WoS datasets.</p>
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<p>Keywords clustering and principal authors by cluster. Source: compiled from our research utilizing the CiteSpace tool, as well as Scopus and WoS datasets.</p>
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<p>Thematic map. Source: Compiled from our research utilizing the Bibliometrix tool, as well as Scopus and WoS datasets.</p>
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24 pages, 1266 KiB  
Article
Will Green Credit Affect the Cash Flow of Heavily Polluting Enterprises?
by Yi Sun, Yiwen Zhu, Cong Li and Kaihua Wang
Sustainability 2025, 17(1), 311; https://doi.org/10.3390/su17010311 - 3 Jan 2025
Viewed by 452
Abstract
As environmental pollution intensifies, China has begun to implement green credit policies to reduce credit allocation to highly polluting enterprises. This research examines the influence of green credit on the cash flow of heavily polluting enterprises, based on the implementation of the “Green [...] Read more.
As environmental pollution intensifies, China has begun to implement green credit policies to reduce credit allocation to highly polluting enterprises. This research examines the influence of green credit on the cash flow of heavily polluting enterprises, based on the implementation of the “Green Credit Guidelines”. The policy creates a quasi-natural experimental setting by giving businesses access to an exogenous occurrence. Consequently, this paper uses data from 494 A-share listed companies in China over a fifteen-year period from 2007 to 2021 and employs a Difference-in-Differences (DID) model to assess the net effect of the policy, positing that green credit scheme will prevent highly polluting businesses from making money. The empirical findings show that the green credit policy significantly reduces the cash flow of businesses that emit a lot of pollutants, especially when it comes to operational cash flow. Heterogeneity analysis reveals that the cash flow of high-emission regions and non-state-owned heavily polluting enterprises is affected even more significantly. Previous research has often overlooked cash flow as a metric; however, cash flow is a critical indicator of an enterprise’s operational status. From this angle, this study adds to our knowledge of how green credit schemes affect highly polluting businesses. Additionally, it contributes to the ongoing discussion regarding the relationship between financial constraints and cash flow. China’s government ought to keep encouraging the creation of green credit regulations, enhance supervision of state-owned heavily polluting enterprises, and pay attention to low-emission regions by establishing dynamic regulatory indicators to promote ecological civilization construction and the transformation and upgrading of lagging industries. Full article
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<p>Testing the parallel trends assumption.</p>
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<p>Time trend of CFO.</p>
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<p>Time trend of CFI.</p>
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30 pages, 1146 KiB  
Article
Unlocking Green Innovation Potential Amidst Digital Transformation Challenges—The Evidence from ESG Transformation in China
by Yanfei Wu, Irina Ivashkovskaya, Galina Besstremyannaya and Chunfeng Liu
Sustainability 2025, 17(1), 309; https://doi.org/10.3390/su17010309 - 3 Jan 2025
Viewed by 630
Abstract
In the current economic landscape, businesses are challenged by the dual imperatives of digital transformation and sustainability goals. While digital transformation is often heralded as a catalyst for innovation, its potential negative effects on green innovation remain underexplored. This study fills in this [...] Read more.
In the current economic landscape, businesses are challenged by the dual imperatives of digital transformation and sustainability goals. While digital transformation is often heralded as a catalyst for innovation, its potential negative effects on green innovation remain underexplored. This study fills in this gap by analyzing 1443 listed companies on the Shanghai Stock Exchange main board between 2013 and 2022, focusing on the mechanisms by which digital transformation impacts green innovation and on the moderated role of environmental, social, and governance (ESG) performance. Our findings reveal that digital transformation hinders green innovation by increasing financing constraints. However, good ESG performance mitigates these negative impacts by alleviating financing constraints, thereby fostering green innovation. Our findings hold up against endogeneity tests by applying instrumental variable methods. Notably, the effect of digital transformation and ESG differs significantly between state-owned enterprises (SOEs) and non-state-owned enterprises (non-SOEs). While non-SOEs experience more pronounced challenges, ESG also demonstrates a stronger moderating role, unlike in SOEs, where institutional advantages offset some of these constraints. These findings enhance the understanding of dual transformation challenges, offering practical implications for aligning digital and green strategies in diverse organizational contexts. Full article
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<p>Research model.</p>
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<p>Keywords for digital transformation research model.</p>
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<p>Two-way linear interaction effects for DT.</p>
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12 pages, 223 KiB  
Perspective
Enhancing Circular Practices in Olive Oil Production: The Role of Green Finance
by Mariantonietta Intonti, Deborah Mola, Matteo De Leonardis and Giuseppe Starace
Sustainability 2025, 17(1), 294; https://doi.org/10.3390/su17010294 - 3 Jan 2025
Viewed by 528
Abstract
The production process of extra virgin olive oil, which is a strategic asset of the Italian agrifood sector, can be innovated in its impact on the environment, according to a dual approach: (a) with a view to a circular economy, acting on the [...] Read more.
The production process of extra virgin olive oil, which is a strategic asset of the Italian agrifood sector, can be innovated in its impact on the environment, according to a dual approach: (a) with a view to a circular economy, acting on the waste it produces, either correctly disposing of it or effectively reusing it, and (b) with a view to emissions, reducing the carbon footprint that it generates, starting from the supply chain. This dual approach, clearly contributing to the circular economy paradigm and the achievement of a zero-emission economy, requires the sector to make significant investments in technological innovation. To this end, this study highlights the importance of the financial resources that can be obtained either through financial intermediaries, in particular banks, now able to provide green loans with a positive environmental impact, or through the financial markets and the use of securities issues, such as green bonds. Full article
24 pages, 827 KiB  
Article
Digital Financial Inclusion and Inclusive Green Growth: Evidence from China’s Green Growth Initiatives
by Ruixin Peng and Bing Zeng
Int. J. Financial Stud. 2025, 13(1), 2; https://doi.org/10.3390/ijfs13010002 - 31 Dec 2024
Viewed by 660
Abstract
The inclusive and environmentally sustainable transformation of economic growth is a crucial indicator for the high-quality development of urban areas. In this perspective, this paper explores the connection between digital inclusive finance and inclusive green growth in 270 Chinese cities from 2011 to [...] Read more.
The inclusive and environmentally sustainable transformation of economic growth is a crucial indicator for the high-quality development of urban areas. In this perspective, this paper explores the connection between digital inclusive finance and inclusive green growth in 270 Chinese cities from 2011 to 2021. The study used a panel dataset, individual fixed-effects models, and multiple mediation models to analyze the results. The study findings reveal that digital inclusive finance effectively stimulates regional inclusive green growth and enhances positive transmission mainly by improving green technology innovation, increasing entrepreneurship levels, and promoting industrial structure upgrading, of which environmental-friendly technology innovation channels constitute the main contributor. The effects of regions, administrative hierarchy of cities, financial marketization, policy support, and environmental regulation are analyzed in heterogeneity analysis. To ensure the robustness of baseline results, this study utilized two-stage least squares (2-SLS) and difference in difference (DID) approaches. Moreover, this study offers valuable insights into the environmental implications of digital financial inclusion in emerging economies. Full article
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<p>The theoretical framework of digital inclusive finance on inclusive green growth.</p>
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<p>The Descriptive statistics of the study’s variables.</p>
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21 pages, 1121 KiB  
Article
The Impact of High-Tech Enterprise Certification on Green Innovation: Evidence from Listed Companies in China
by Zhiqiang Liang, Yao Shen, Kunyu Yang and Jinsong Kuang
Sustainability 2025, 17(1), 147; https://doi.org/10.3390/su17010147 - 28 Dec 2024
Viewed by 611
Abstract
Against the backdrop of global efforts towards carbon peak and carbon neutrality, enhancing the level of green innovation in enterprises represents a significant challenge faced by governments worldwide. The practice of establishing a certification system for high-tech enterprises and leveraging this certification to [...] Read more.
Against the backdrop of global efforts towards carbon peak and carbon neutrality, enhancing the level of green innovation in enterprises represents a significant challenge faced by governments worldwide. The practice of establishing a certification system for high-tech enterprises and leveraging this certification to influence corporate behavior has been shown to be an effective approach. This paper constructs an analytical framework based on incentive effects, signaling effects, and external pressure, employing the negative binomial regression method to evaluate the impact of high-tech enterprise certification on green innovation using data from listed companies in China from 2006 to 2023. The research findings indicate that, generally speaking, this certification primarily promotes green innovation through increased government subsidies, alleviation of financing constraints, and enhanced market attention. Further analysis reveals that its impact is particularly pronounced on state-owned enterprises, enterprises in central regions, and labor-intensive enterprises. Based on these research outcomes, this paper recommends that the government should further strengthen the construction of the certification system to enhance its credibility and authority; place greater emphasis on green-oriented fiscal subsidy policies; promote the development of green finance to alleviate financing constraints for enterprises; and refine the external supervision mechanisms of the capital market to provide robust support for enterprise green innovation. This study deepens the understanding of the relationship between government institutional construction and green innovation and provides empirical evidence for transforming the economic development model. Full article
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<p>Analytical framework.</p>
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<p>Propensity Score Method.</p>
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<p>Placebo test.</p>
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