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Growth target management drives China's economic expansion, leading to potential carbon emission externalities. This study examines the impact of economic growth target setting on carbon emission performance in 257 Chinese localities from 2004 to 2020. Using cluster standard error regression, 2SLS instrumental variable regression, and the spatial Durbin model, the results show that moderate growth targets improve urban carbon emission performance. Conversely, aggressive targets do not enhance regional carbon emission performance. Moderate growth targets foster innovation in green technology, while aggressive ones encourage investment in fixed assets and new city growth, impeding performance. Cities in the eastern and western regions, with larger populations and less reliance on natural resources, benefit more from effective economic development targets. The establishment of local targets negatively affects neighboring regions' carbon emissions performance, particularly at a spatial scale of 100 to 200 km. This paper contributes to understanding the environmental consequences of growth target setting and offers insights for balancing economic growth with carbon emission governance in emerging market countries., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Amidst resource loss and environmental protection constraints, achieving green development necessitates enhancing green total factor productivity (GTFP) as a means of promoting rational and efficient resource allocation, thereby balancing economic growth and environmental preservation. Meanwhile, literature on the subject matter of GTFP from a sustainability viewpoint is minimal. As a result, this study employs the panel dataset from 30 provinces of China spanning the period 2005 to 2020 and utilizes the method of moments quantile regression (MMQR) developed by Machado and Santos Silva (2019) to analyze the heterogeneous role of green innovation, environmental regulations, and fiscal expenditure on GTFP. Moreover, the controlling variable for this study includes renewable energy and economic growth. Furthermore, this study investigates the heterogeneous combined impact of green innovation and fiscal expenditure (GTE*FSE) on GTFP. The findings of the MMQR reveal that green innovation has a positive impact on GTFP, while fiscal expenditure, environmental regulations, and renewable energy consumption have a negative impact. GTE*FSE has a positive and significant effect on GTFP, indicating that FSE can reinforce and increase the positive impact of GTE on GTFP in the long run. The study also reveals that economic growth has a mixed effect on GTFP, depending on the quantiles. Furthermore, environmental regulation has a significant and negative impact on GTFP, contradicting the Porter hypothesis. Likewise, the robustness of the findings is confirmed by the results of the fully modified OLS (FMOLS) and dynamic OLS (DOLS) estimations, which indicate a similar impact of the determinants on GTFP as observed in the MMQR analysis. This reinforces the validity of the findings and suggests that the observed relationships are robust to different estimation techniques. Furthermore, the findings of the Dumitrescu and Hurlin (D-H) panel causality test reveal significant bidirectional causality between renewable energy consumption and GTFP and fiscal expenditure and GTFP. Policy-makers need to channel a large chuck of their fiscal spending into green innovation so as to boost sustainability., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The Belt and Road Initiative (BRI), spearheaded by China, is anticipated to bolster trade, investment, and economic growth among participating countries to advance the United Nations' Sustainable Development Goal 7 through international trade. Within this context, renewable energy has emerged as a promising avenue to address environmental degradation and foster sustainable development. However, the impact of BRI's trade volume on renewable energy development and adoption in these nations remains unresolved. To address this, our study examines the influence of trade openness, foreign direct investment, economic growth, and oil prices on renewable energy consumption in 94 BRI countries with varying income levels from 2000 to 2019. Employing panel data analysis, including fixed effects (FE), random effects (RE), and the system generalised method of moments (GMM), we present findings across income groups: i) Trade openness exhibits a positive effect on renewable energy consumption in high-income and upper-middle-income countries; ii) In contrast, it diminishes renewable energy consumption in lower-middle-income countries; iii) Trade openness demonstrates insignificant effects on renewable energy consumption in low-income countries; iv) On the panel level, trade openness significantly and positively impacts renewable energy consumption. Our research underscores the significance of trade openness as a crucial instrument for advancing renewable energy development in high-income BRI countries, thereby fostering environmental sustainability. Policy interventions targeting renewable energy hold promise for enhancing environmental quality in low-income countries., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Since the end of the twentieth century, the world has observed a considerable upsurge in carbon emissions as several countries have surfaced as industrial centers and production monsters worldwide. The present study contributes to the existing literature examining the effects of carbon-based emissions, industrial value added, trade openness, transport services, railway lines, and globalization index on per capita GDP growth in China. The study covers a period of 40 years, from 1982 to 2021, introducing the impact of railway transport on GDP growth in contemporary environmental empirics. A vector error correction model (VECM) was applied to achieve the study's envisaged objectives. The findings of this study reveal that carbon emissions are responsible for the reduction of per capita GDP growth in China. On the contrary, industrial value added, transport services, railway lines, and globalization index positively support the per capita GDP growth-dependent variable. The study proposes that pragmatic policies are needed to control pollution resulting from carbon emissions. The eventual effect of maintaining greenhouse gases is expected to assist in achieving sustainable growth of per capita GDP leading to the accomplishment of sustainable development goals in the economy., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Under the sustainability strategy, a company's ability to enhance its financing capacity through improvements in environmental, social, and governance (ESG) performance is crucial for fostering high-quality development. This study empirically examines the impact of corporate ESG performance on commercial credit financing (CCF) using data from China's A-share listed companies between 2009 and 2021. The findings of the panel regression analysis revealed a significant positive correlation between a company's ESG performance and CCF. Further analysis of the influencing mechanisms indicates that a company's ESG performance can increase its likelihood of obtaining CCF by reducing environmental, social, and governance risks. Specifically, we found that ESG performance facilitates access to CCF by promoting green innovation, enhancing social reputation, and mitigating operational risk. This study expands and enriches the theory of informal financing of enterprises while incorporating the more comprehensive assessment criteria for sustainable development., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

As a typical practice of regional innovation policy, national innovation demonstration zones (NIIDZ) plays an important role in empowering green technology innovation. Analyzing the internal logic between NIIDZ and green technology innovation is of great practical significance to enhance China's independent innovation capability and accelerate the ecological civilization construction. Based on the panel data of 280 cities from 2005 to 2020, we use the difference-in-difference model (DID) to evaluate the policy effect of NIIDZ on green technology innovation from the dual perspective of quality and quantity. The results show that NIIDZ effectively contributes to the quantity of green technology innovation (GTI) and the quality of green technology innovation (GTQ), especially GTI. The conclusion is still valid after robustness tests like PSM-DID and eliminating the pilot interference of innovative cities. The test of the intermediary mechanism shows that regional innovation policy can not only directly drive GTI and GTQ but also indirectly promote them through accelerating talent gather, driving industrial clusters, and increasing government financial support. Spatial heterogeneity analysis indicates that the effectiveness of regional innovation policy demonstrates a decreasing trend from east to west, and this positive effect is more significant in cities with a higher level of financial development. Our results provide important policy insights for the Chinese government to further stimulate the effectiveness of green innovation in the NIIDZ, accelerate the construction of an innovative country, and achieve high-quality green economic development., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The pursuit of a green transformation agenda in China is an important aspect of achieving sustainable development. The role played by green financial development efficiency (GFDE) in this pursuit cannot be overlooked. This paper explored the impact of GFDE on China's green transformation agenda and its contributions toward sustainable development. The study adopts a systematic approach to examine the relationship between GFDE and green transformation, utilizing relevant data and literature. The study aligns with previous research in the field that highlights the importance of green finance in reducing carbon emissions and promoting sustainable development in China. It also adds to the existing literature by specifically focusing on the role of green financial development efficiency in the pursuit of a green transformation agenda in China. The study found a significant improvement in GFDE over the period of 2010 to 2020 in promoting green transformation in China. Both systems generalized method of moments and fixed-effect models revealed that trade openness, foreign investments, technological innovation, and government budget positively influenced GFDE while energy consumption and economic policy uncertainty had a significant adverse effect on GFDE. The results of this study inform policymakers and stakeholders of the importance of green finance in promoting sustainable development. The study intimated that the financial sector should provide support for green technologies and businesses by offering range of green products such as green bonds, funds, and loans., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

As an important policy instrument to achieve greenhouse gas emission reduction, carbon emissions trading has also promoted the green transformation of enterprises while achieving carbon reduction targets. This study uses the implementation of the Chinese carbon emissions trading pilot policy (CETPP) as a quasi-natural experiment and analyzes the impacts of the CETPP on the green transformation of enterprises with the difference-in-differences (DID) method based on a sample of 297 listed Chinese A-share high-energy-consuming enterprises. The result findings show that CETPP can significantly promote the green transformation of enterprises. The heterogeneity analysis also reveals that CETPP has differential effects on enterprises belonging to different industries, which is caused by the fact that enterprises in different industries differ significantly in their green transformation paths and modes. Moreover, CETPP has a significant facilitating effect on the green transformation of non-state-owned enterprises compared to state-owned enterprises. Finally, marketization and enterprise social responsibility are two major mechanisms for the CETPP to promote the green transformation of enterprises. Our findings reveal that policymakers should further deepen the dynamic management of carbon emission allowances and guide enterprises to actively undertake social responsibility, thus leveraging the market regulation mechanism to promote the green transformation of enterprises., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This paper investigates the role of export quality in climate action goal of the sustainable development goals in emerging Asian countries. For this purpose, the empirical model that observes the impact of real GDP, energy use and export quality index on carbon emissions is constructed and is analyzed by ARDL bounds testing approach for the period from 1970 to 2014. We also include the square of real GDP as independent variable to observe the existence of environmental Kuznets curve (EKC) hypothesis which implies the parabolic relationship between economic growth and environmental degradation. The findings show that increase in export quality leads to a fall in CO 2 emissions for China and India. In contrast, the effect of increasing export quality increases CO 2 emissions in Thailand and the Philippines. Lastly, our asymmetric causality results show that the positive shocks of export quality causes positive shocks of CO 2 emissions in Thailand and Indonesia. Furthermore, we found that positive export quality shocks cause negative CO 2 emissions shocks in India while negative export quality shocks cause positive CO 2 emissions shocks in China. We also confirm the inverted U-shaped EKC hypothesis in China and Thailand., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The study aims to analyze the impacts of capital misallocation and technological innovation on green development efficiency in China by using the panel data from 2000 to 2018. We employ the Super-SBM model to evaluate green development efficiency and use the system generalized method of moments (GMM) for empirical estimation. The results suggest that capital misallocation has a significant inhibitory effect on green development efficiency. Moreover, capital misallocation restrains technological innovation, which plays an important role in improving green development efficiency. Further research on the effect of regional heterogeneity indicates that the negative impact of capital misallocation on green development efficiency is more significant in the central and western regions, while the effect is not significant in the eastern region. Our findings provide useful policy implications for improving green development efficiency in China., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The study investigated "Building Ecological Civilization: the Importance of Promoting Green Investments by Chinese Companies" to examine the complex connections between the factors affecting Chinese businesses' ecological performance (EP). An autoregressive distributed lag (ARDL) model is used in the study to analyze the impact of green investments (GI), the policy environment (PE), government support (GS), public awareness and perception (PAP), and technological capability (TC) on companies' earnings per share (EPS). The results show a strong correlation between GI and EP, indicating that businesses' growing use of green initiatives is essential for raising environmental sustainability. The study also shows that PE, TC, and EP have an inverse relationship, indicating the need for more supportive governmental policies and regulations and the effective adoption and implementation of green technologies. The interaction of GS and PAP significantly reduces the ecological impact of green investments, highlighting the significance of citizen involvement and the role of government in advancing ecological civilization. The findings also demonstrated that green investments, policy environments, public perception, and technology influence the ecological performance of businesses. They also demonstrate statistical robustness with low p-values. This information is essential for developing policies that support an ecological civilization, which is necessary for China and globally in light of the current climate crisis., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The study on the "Technology Innovations in Supply Chains: Unlocking Sustainability and SDG Advancement," offers a thorough examination of the intricate connections between technological innovation, supply chain management, sustainability development, and the advancement of the Sustainable Development Goals (SDGs) in various Chinese cities. The study explores how developments in artificial intelligence (A.I.), the Internet of Things (IoT), and big data have changed supply chain practices and their consequent effects on environmental and sustainability results. It does this by utilizing a substantial dataset spanning a decade. The findings showed that different patterns of technological adoption and their impacts might be seen in the assessed cities. While it is clear that technology innovation is essential for improving supply chain effectiveness and encouraging sustainability, not all regions see the same advantages. Variations in supply chain complexity, city size, technology advancement, and environmental legislation are all blamed for these discrepancies. The report also offers detailed knowledge of the connection between the development of modern supply chains and the advancement of the SDGs. Even though many cities showed high relationships, others showed less alignment, pointing to the importance of additional economic, sociopolitical, and environmental factors. The report concludes by highlighting the potential of technology to advance sustainability and the SDGs while emphasizing the necessity for a deliberate and context-specific approach to technology integration. Additionally, it emphasizes how crucial supportive regulations are in maximizing the advantages. These findings significantly impact business executives, educators, and legislators who want to use technology to advance sustainability and the SDGs., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

To contribute to the research on the role of financial activities in corporate development, this study addresses the critical issue of short-term debt financing for long-term investment (SDFLI) and its impact on the sustainable development of carbon-intensive enterprises in China. By analyzing panel data from the A-share listed carbon-intensive enterprises in China spanning from 2010 to 2021, this study aims to shed light on the significance of this phenomenon and its implications. The empirical findings reveal the existence of a maturity mismatch between investment and financing in carbon-intensive enterprises, which exerts a significant negative impact on total factor productivity (TFP) and poses challenges to their sustainable development. Furthermore, the adverse effects of maturity mismatches vary across different types of enterprises based on factors such as ownership, industry characteristics, financing constraints, and internal controls. The results of the mediation effect model demonstrate that maturity mismatch hampers the sustainable development of carbon-intensive enterprises by reducing investment efficiency and increasing agency costs. Additionally, the moderating role of innovation in carbon-intensive enterprises between maturity mismatch and sustainable development is also examined. This research provides insights to establish policies for facilitating sustainable development in carbon-intensive enterprises., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The relationship between digital finance and regional green innovation has been partially confirmed, yet the role of environmental regulation in it remains unexplored. Therefore, this paper examines the impact of digital finance on regional green innovation and tests the moderating role of environmental regulation using Chinese city-level data from 2011 to 2019 as a research sample. The results show that digital finance can significantly promote regional green innovation by alleviating regional financing constraints and increasing regional R&D investment. Besides, digital finance has apparent regional difference effects (the contribution of digital finance to regional green innovation is greater in eastern China than in western China, and the development of digital finance in neighbouring regions has a negative transmission effect on local green innovation). Finally, environmental regulation positively moderates the relationship between digital finance and regional green innovation. This paper explores the relationship between digital finance and regional green innovation from the perspective of environmental regulation, providing empirical evidence to promote regional green innovation., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Sustainable development can be mainly achieved by promoting the green transformation and development of the world economy and by improving the efficiency of regional green development, which often receive extensive attention from the academia. This paper uses a spatial econometric model to estimate the impact of manufacturing agglomeration on green development efficiency based on the panel data of China's Yangtze River Economic Belt (YREB). The results show an overall large gap of green development efficiency between regions in the Yangtze River Economic Zone, mostly due to the extremely uneven development of green development efficiency in the upper reaches. Opposite to the middle and lower reaches, manufacturing agglomeration in the upper reaches of the YREB improves green development efficiency. Manufacturing agglomeration is conducive to the improvement of green development efficiency in adjacent areas. Nonetheless, it may hinder green development efficiency by inhibiting green technological innovation. This paper provides empirical evidence and policy implications for applying manufacturing agglomeration to promote green development efficiency in accordance with local conditions., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Environmental regulation (ER) and industrial agglomeration (IA) are important factors that affect green development efficiency (GDE). However, there is a lack of studies on their relation in the context of the marine economy. This paper integrates ER, IA, and marine GDE (MGDE) into a unified analytical framework and uses balanced panel data from China's 11 coastal provinces during 2008-2019 to quantify the linear, nonlinear, and spatial spillover effects between the three using the spatial Durbin model (SDM) and threshold effect model. The results show that ER has a negative impact on local and surrounding MGDE through the direct and spatial spillover effects. IA has a positive impact on local and surrounding MGDE through direct and spatial spillover effects. The synergistic impact of ER and IA can significantly boost local and surrounding MGDE. When ER surpasses a certain threshold, it amplifies the positive impact of IA on MGDE. These findings offer theoretical and practical references for the Chinese government to formulate marine environmental governance and industrial development policies., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Under the scenario of the complex external environment and internal structural changes in agricultural development, exploring the synergistic relationship between agricultural green efficiency (AGE) and agricultural economic resilience (AER) can offer a new path for fostering sustainable regional agricultural development. This paper fills the research gap in the interaction between efficiency and resilience in agriculture. We explore the synergistic mechanism of the two based on the perspective of sustainable development, providing a reference for constructing a synergistic theoretical system of AGE and AER. Moreover, we apply the Haken model to the field of the agricultural economy and scientifically evaluate the level of AGE and AER synergy in Northeast China from 2010 to 2020. Finally, we analyze the influencing factors of AGE and AER synergy in Northeast China from three dimensions: economic, social, and natural. The results show that AER is dominant in the AGE-AER synergistic system. The synergy level of AGE and AER in Northeast China is mainly in the higher and advanced synergy stages, with obvious spatio-temporal differences and insufficient inter-regional radiation effects. Social factors are the main factors of spatial differentiation of AGE and AER synergy., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Based on the data of listed renewable energy enterprises in China from 2009 to 2020, I study the impact of fintech on the sustainable development of renewable energy enterprises. The results show that fintech promotes the sustainable development of renewable energy enterprises. The mechanism tests show that fintech promotes the sustainable development of renewable energy enterprises by improving investment efficiency. The cross-sectional results show that the implementation of green credit policies and the improvement of information disclosure quality promote the positive impact of fintech on the sustainable development of renewable energy enterprises. This study enriches the literature in the field of fintech and renewable energy enterprises and provides empirical evidence and policy enlightenment for fintech to promote sustainable development in renewable energy enterprises., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Building livable rural regions is a key objective of China's rural revitalization, and fostering coordinated and sustainable regional development in China necessitates investigating the geographical and temporal distribution and influencing variables of livability in China's rural areas. This paper compares the concept and connotation of rural livability based on regional economic development theory and sustainable development theory, integrates China's rural revitalization strategy, proposes an index system for evaluating rural livability in China, and conducts an empirical analysis of livable rural areas. Firstly, the level of rural livability development is measured by the entropy method; secondly, the aggregation effect of provinces is demonstrated by using the Moran I index, and finally, the spatial Durbin model is used to explore the influencing factors of rural livability and its spatial spillover effects. Findings of our study reveal that the results of the entropy method indicate that the livability of rural China is in a growing development trend in all provinces, but the livability shows some regional disparities. The Moran index reveals that there are obvious spatial autocorrelations in the livability of Chinese rural areas, and the most typical features are the "high" and "low" clusters. The spatial Durbin model suggests that the influences on the development of rural livability are diverse. Besides, other variables such as environmental pollution and per capita housing area show a negative association with rural livability, and investment in fixed assets, cultural atmosphere and medical health show a positive relationship with rural livability. Based on the study findings, it is proposed that in the rural revitalization strategy process, the formulation of monitoring system should be strengthened and intensify the promotion of coordinated inter-regional development., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Capital providers have placed increasing importance on risks associated with transitioning to a low-carbon economy. This study investigates the causal link between energy regulation and cost of debt financing by exploiting regional variations in stringency of the dual control system of total energy consumption and energy intensity (dual controls) to construct a continuous difference-in-difference model. We use a sample of A-share listed firms in 2010-2020 and find that tighter energy regulation leads to higher cost of debt financing. We find that the underlying mechanism is risk premium brought by compliance cost and uncertainties. Further analysis indicates that the impact of dual controls is mainly driven by non-state-owned firms. Lastly, capital providers did not differentiate the interest rates they charge companies based on their level of green transition., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Climate change exacerbates uncertainties in water resource management, water supply, and treatment that are energy intensive and then exert great pressure on climate change mitigation; hence, interrelated and contradictory characteristics within the water-climate change (WC) nexus system are needed to be studied. The nexus thinking and coordination of WC would impact many realistic practices and assist in sustainable socioeconomic development since traditional single-target policies have sometimes been out of function. Hence, the ability to direct water production and use as well as climate change mitigation has become a hotspot recently. Furthermore, we find that there has been no complete research on reviewing the impacts of the WC nexus in different areas on the Sustainable Development Goals (SDGs). Hence, this paper builds a core nexus of WC and then analyzes those effects on social and environmental aspects in many areas, including sewage treatment, energy transition, waste treatment, land management, and ocean management. This paper discusses how WC interlinkages are utilized to realize SDGs in those areas. Moreover, uncertainties derived from exogenous hydrology, climate change, and anthropogenic endogenous systems for realistic problems appeal to gradually increasing concern. Finally, implications offer valuable guidelines for integrated management of water and carbon emissions, as well as sustainable socioeconomic development in the future., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The green output bias of technological progress is the key factor driving the green transformation of mariculture. This study considers whether environmental regulation can promote the green output bias. Utilizing data envelopment analysis (DEA), we decomposed the green output biased technological progress index (OBTC) and constructed the index to measure the output bias between output value and pollutant emissions. The results show spatial and temporal differences in the green output bias, with different bias values for three major Chinese coastal regions during the study period. As the bias value mainly fluctuates around the zero value, the degree of green output bias must be enhanced. Considering the heterogeneity of environmental regulation, we empirically study the relation that exists between environmental regulation and green output bias. Our findings indicate a U-shaped relation between two categories of environmental regulation and the green output bias. Green technology partially intermediates the mechanisms by which these environmental regulations influence green output bias. Our results have implications for policymakers and other stakeholders for strengthening environmental regulation, promoting green technological innovation, and the scientific planning of the species and scale of mariculture to promote sustainable development., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Using the provincial panel data of China during 2012-2019, the present study employed spatial Durbin error model to explore the spatial effect of the digital economy on energy intensity. The results show that both digital economy and energy intensity have spatial autocorrelation, showing the distribution characteristics of spatial aggregation. The digital economy has a significant negative influence on energy intensity. The result shows a significant spatial spillover effect of digital economy on energy intensity, and the development of the digital economy in neighboring regions reduces energy intensity in the central region. Additionally, industrial structure, urbanization, energy price, and foreign direct investment have a heterogenous impact on energy intensity. Thus, it is crucial to give importance to the development of the energy intensity, plan the spatial layout of the digital industry as a whole, drive the coordinated growth of the regional digital economy, quicken the upgrading of industrial structure, promote urbanization, perfect the energy price formation mechanism, raise the entry threshold for foreign direct investment, to effectively reduce the energy intensity, and facilitate the smooth realization of the "double carbon" goal., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

China is a rising power of the twenty-first century with its brilliant economic performance as a result of the transition to the free market economy model. However, China's economic development process has caused high environmental costs. For the past decade, China has been the leading country responsible for global carbon dioxide emissions (CO 2 ). Therefore, determining the dynamics that have a reducing effect on CO 2 emissions in China is very important for the development of sustainable environmental policies. This paper aims to examine the impacts of the institutional structure on environmental sustainability in China. To this end, the study follows the method of cointegration with multiple breaks that produce robust econometric results and consider structural changes. According to the results, (i) the validity of an N-shaped EKC relationship is supported between economic growth and environmental pollution. (ii) Industrialization and trade have an increasing impact on environmental pollution. (iii) Political rights and civil liberties have a reducing effect on environmental pollution. Consequently, this study implies that political rights and civil liberties can make an important contribution to achieving sustainability goals in China.

Based on the panel data of 30 Chinese provinces, the Cobb-Douglas production function and GML index were constructed to measure the degree of land price distortion and green development efficiency, respectively, in China, and the System Generalised Method of Moments model was employed to explore the relationship between land price distortion and green development efficiency, and a mediating effect model was further constructed to analyse the transmission mechanism. The results show that, first, land price in China is characterised by a negative distortion, but the degree of negative distortion tends to decrease after 2010. Second, land price distortion significantly inhibits the improvement of green development efficiency; this conclusion still holds after a series of robustness tests, and land price distortion significantly promotes the progress of green technology, while significantly inhibiting the improvement of green technology efficiency. Third, the results of the mediating effect show that the inhibiting effect of land price distortion on green development efficiency is mainly achieved through three channels: house price, industrial structure and infrastructure. Finally, policy recommendations for green sustainable development are put forward from the aspects of land supply structure adjustment and so on., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Inclusive green growth (IGG) offers an effective alternative to pursue sustainable development. The core of the IGG system lies in the coordination of inclusive, green, and growth subsystems. However, there is little quantitative assessment on IGG based on subsystem collaboration. This study proposes a holistic scheme of inclusive-green-growth nexus in Anhui province from 2009 to 2018 by using an integrated approach, namely, the entropy weight approach (EWA), coupling coordination degree model (CCDM), grey prediction model (GPM), and obstacle factor diagnostic model (OFDM). The results show that: (1) The proposed integrated approach could be viable to measure the synergistic interactions among internal IGG subsystems; (2) At the provincial level, a relatively high IGG performance but a low coupling coordination degree (CCD) of the IGG nexus are seen. Although the predicted value of CCD will show an upward trend, it will not be able to cross the start stage. The obstacle factors on the coordinated development of IGG can be divided into two stages: (3) At the prefectural level, the cities in which CCD is rising outnumber those it is falling. However, the CCD is also low, and the gap between cities is getting wider. The obstacles that affect the CCD of cities see a dynamic evolution trend from "inclusive obstacle type" to "inclusive and growth obstacle type" then to "green obstacle type" over the decade., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study investigates economic convergence and sustainable development in Africa. By introducing an aggregate production technology and directional distance function, it examines the productivity growth of 28 African economies from 1990 to 2019. The proposed approach considers all decision-making units (countries) as a whole, and the productivity gains are then estimated under a nonparametric framework. In the empirical analysis, the carbon emissions are included in the Luenberger productivity measurement, called green productivity. The results show that the annual average growth rate of green productivity is 1.51% in African, and different types of club convergence for green productivity indicator and its decomposition are observed during the sample period. The decomposition of the Luenberger indicator shows that green African growth is mainly driven by technological progress, not efficiency change. Furthermore, the overall inefficiency is decomposed into technical and structural effects. The latter measure the potential improvement in terms of resource reallocation. Structural inefficiency is larger than technical inefficiency, suggesting that African countries could improve their economic and environmental performances by optimizing input/output mixes., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

With China already committing to peak carbon dioxide emissions before 2030 and achieving carbon neutrality before 2060, green development is urgent. It is necessary to clarify the driving mechanism of green development to design the path of green development scientifically. From the internal perspective of the green development system, this paper divides the green development power into external power and internal power. The external power is the political pressure formed by the public's green demands. The internal power is the endogenous power of green development transformed by the political promotion willingness of local government leaders. The research shows that (1) the green demands from the public and the accompanying political pressure can form the driving force of green development. (2) The political promotion intention has not been transformed into the endogenous driving force to promote green development in the research period. (3) The external driving force of public appeal is closely related to economic development, income and consumption levels, and education. This paper enriches the research literatures on the driving mechanism of green development and provides theoretical and practical exploration for the driving path of green development., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Inclusive green growth (IGG), as a new way to attain sustainable development, aims to achieve comprehensive and coordinated economic, social, and environmental development. How to define IGG and explore its driving factors is key to realizing IGG. This study takes China as an example, using panel data from 30 provinces in Mainland China from 2009 to 2018 for research. The epsilon-based measure (EBM) model and Global Malmquist-Luenberger (GML) index are used to evaluate China's IGG, and a spatial panel regression model of the impact of urban land resource misallocation on IGG is established. The research found that (1) China's IGG level from 2009 to 2018 displayed an upward trend, and combined with exploratory spatial data analysis (ESDA), it was found that IGG has an obvious spatial correlation; (2) the regression model shows that the misallocation of land resources hinders the improvement of IGG in China; and (3) the decomposition of spatial spillover effects demonstrates that the misallocation of land resources has negative externalities, which will also have adverse effects on neighboring areas., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Improving environmental efficiency of thermal power plants is a crucial way to realize green and sustainable development. This paper investigates environmental efficiency of thermal power plants in China in 2011, 2013, and 2015 by conceptualizing a modified super-efficiency slacks-based measure with materials balance principle (MBP), which also eliminates the infeasibility in Malmquist-Luenberger index (MLI). An improved MLI is proposed based on the new efficiency measure. The results show that (1) the thermal power plants in most provinces have high environmental efficiency and productivity. (2) The improvement of productivity mainly originates from technical progress. This study provides a new perspective for environmental efficiency measurement on thermal power plants and advances related studies by (1) considering the first law of thermodynamics and introducing MBP in measuring environmental efficiency of thermal power plants and (2) defining a new MLI that captures the efficiency change and technical change in a super-efficiency framework. The thermal power plants in China can improve their environmental performance based on the results of current study., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

More and more scholars have paid attention to the importance of coordinated development between ecological environmental protection and economy. Eco-city construction has been implemented in many countries in recent years; however, quantitative research on its economic impact has only started. This study establishes a theoretical model of the impact of eco-city construction on a firm's research and development (R&D) investment. The numerical simulation results show that eco-city construction promotes a firm's R&D investment and long-term earnings from two aspects: (1) macro policies increase a firm's exogenous uncertainty and (2) ecological capital enhances a firm's business conditions. The empirical study matches the microscopic data of 115 cities and 2612 listed firms in China from 2008 to 2017, and results show that eco-city construction has a significant positive impact on firm innovation input and output. Further research shows that this positive impact mainly comes from ecological environment and ecological economy, and there is regional heterogeneity. For the first time, this study affirms the positive role of eco-city construction from the perspective of firm innovation activities at the micro level. It provides strong evidence for the government to realise the sustainable development of firms by accelerating eco-city construction., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Cities, the main place of human settlements, are required to offer high-quality environments to citizens. To achieve this, it is essential to overcome several mega challenges of urbanization, population growth, economic development, environmental deterioration, and climate change. Urban infrastructure construction is capable of enhancing economic growth and promoting urban sustainability, while it will lead to many environmental problems if the infrastructure construction is not properly planned and designed. To address this challenge, this study aims to understand how to ensure the construction land expansion sustainably in rapidly urbanizing cities. In particular, this study analyzed the suitability of construction land expansion in Nanchang, a rapid urbanizing city in China, from 1995 to 2015. The results indicate that the urban expansion speed from 1995 to 2005 was faster than that from 2005 to 2015. The construction land in Nanchang was expanding towards "all directions" and sprawled towards surrounding districts and counties from the original core areas. Nevertheless, about 70% of the Nanchang area was allowable construction area (highly suitable expansion, relatively suitable expansion, and basically suitable expansion areas), indicating that the abundant reserved land resources for urban construction. This study also identified multiple suitability expansion paths of construction land, providing a scientific guidance for the land use planning of Nanchang city. Overall, this study provides a reference to the understanding of the construction land expansion for the achievement of United Nations sustainable development goals. It can also promote the understanding of spatial territory planning and practically enhance the capabilities of land use planning and design.

Improving carbon emissions performance in Chinese cities is a crucial way to promote China's sustainable development. Employing the super-efficiency SBM model, we first estimate the carbon emissions efficiency (CEE) of 262 Chinese cities from 2003 to 2016. Then we study and explain the club convergence of CEE combining Markov and spatial Markov models and Moran's I test method. The results show that CEE has improved, especially for the western and northeastern cities. The efficiency of the northwest cities is low, while those of the central and coastal cities are relatively high. Club convergence exists in China's urban CEE. Cities with high- and low-level efficiency have much higher convergence levels. There are significant spatial agglomeration and spillover effects in China's urban CEE, contributing to the club convergence. Our analysis suggests that "cross-border" cooperation and communication between cities in different clubs should be highly promoted. Cities in high-level efficiency clubs are encouraged to play its role in radiating the lower-level cities. And the Chinese government is encouraged to strengthen carbon emissions mitigation in low-level areas through combining the green "Belt and Road" construction with the establishment of a national carbon market.

China's new urbanization strategy serves as a key instrument for achieving sustainable development goals in urban areas. However, a consensus on how and whether new urbanization affects urban green total factor productivity (GTFP) has yet to be reached. This analysis targets 276 prefecture-level and above cities, using panel data from 2011 to 2019 to assess the impact of the new urbanization pilot policy (NUPP) on GTFP. The research findings demonstrate that implementing China's NUPP has significantly enhanced urban GTFP. Furthermore, the population-land-industry coupling coordination degree (PLICCD), as well as the industry-environment-economy coupling coordination degree (IEECCD), play crucial facilitating roles in the aforementioned enhancement effects. The results remain robust even after employing PSM-staggered difference-in-differences (DID) estimation and excluding other policy interferences. Furthermore, heterogeneity analysis, based on urban characteristics, reveals that the NUPP significantly enhances GTFP in resource-based, non-resource-based, industrial, non-intensive compactness, and non-expansionary urbanization cities. Finally, the paper offers three policy recommendations. First, new urbanization initiatives should be more actively promoted in China and other developing countries. Second, the construction of new urbanization plans should focus on the coordinated development of "population-land-industry" and "industry-environment-economy." Third, the government should implement new urbanization initiatives tailored to the specific characteristics of different cities. This study provides valuable insights for the general public, policymakers, and scholars to better understand the potential of coordinating the development of population, land, industry, the environment, and the economy to improve GTFP. Moreover, it offers a broad perspective for evaluating sustainable urban development., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Low carbon sustainable development (LCSD) has become an inevitable choice, for which China has put forward a "dual-carbon" policy. The purpose of this study is to capture the interaction between the environment and the economy in the context of this goal, thus evaluating LCSD level from a systematic perspective. This paper proposes a super slack based measurement (SBM) model with a non-equal weight structure to assess the LCSD level. Firstly, a maximum influence minimum redundancy (MIMR) index selection algorithm is designed to establish input and output index systems, which avoids redundancy indexes. Secondly, the objective function of the original super SBM employs an equal weight structure, which leads results inadequately reflect the research preferences. Therefore, the weights of indexes are introduced to form an improved super SBM. Finally, 40 cities along the Yangtze River Economic Belt (YREB) are selected for empirical analysis. Results show that (1) the LCSD level of YRBE decreases from downstream to upstream to midstream; (2) Jiangsu, Zhejiang, and Sichuan provinces have higher LCSD levels, while Hunan and Jiangxi provinces have lower levels; and (3) up to 2021, there are 32 effective cities and 8 ineffective cities. The research implies that balancing the economy-environment relationship is crucial for higher efficiency. The LCSD evaluation method not only reflects the coordination level between the economy and the environment, but also integrates the research preference into the results, providing decision support for the government to formulate carbon reduction policies and allocate resources., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Enhancing resource cities' resilience and advancing their sustainable development are imperatives, particularly in light of the "dual-carbon" agenda. Double-difference and spatial double-difference models are developed based on the panel data of 281 Chinese cities from 2005 to 2020 to investigate the effects of implementing the National Plan for the Sustainable Development of Resource-Based Cities on the level of ecological resilience in Chinese cities. This paper found that the National Sustainable Development Plan for Resource-Based Cities significantly improves the ecological resilience level of Chinese cities, and the findings are robust. The impacts of implementing the Plan on the ecological resilience of cities of different growth types, regions, and resource types are heterogeneous. Further study finds a spatial spillover effect of implementing the Plan on the ecological resilience of cities, which can improve the ecological resilience level of neighboring cities through spillover effects while improving the ecological resilience level of cities in the region. Based on these new findings, this study provides some policy implications for better advancing sustainable urban development., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Virtual agglomeration of manufacturing has become a new driving force for improving the green total factor productivity of enterprises, which is of great significance in achieving the sustainable development of manufacturing enterprises and the construction of manufacturing power. This paper clarifies the connotation, model, and characteristics of manufacturing virtual agglomeration. Based on the five dimensions of virtual agglomeration platform, digitization of subjects, data center, virtual cooperation network, and logistics service, this paper constructs an index system for the manufacturing virtual agglomeration. Entropy weight method was used to measure the level of manufacturing virtual agglomeration from 2012 to 2021. Furthermore, this paper analyzes and tests the influence mechanism of manufacturing virtual agglomeration on the green total factor productivity of enterprises. This paper finds that manufacturing virtual agglomeration improves the green total factor productivity of enterprises, which shows a nonlinear relationship. The mechanism test results show that manufacturing virtual agglomeration improves the green total factor productivity of enterprises by accelerating green technology innovation, forming a scale economy, and reducing transaction costs. The heterogeneity analysis shows that the promotion effect of virtual agglomeration in manufacturing on the green total factor productivity of enterprises is affected by the property rights and scale of the enterprise., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Environmental regulation with spatial spillover effect is an important way to accelerate the transformation and upgrading of modern water resources structure, and then achieve sustainable development of China's water resources. How does environmental regulation affect the GWRE to alleviate or solve China's water shortage? In this paper, the GWRE is measured based on panel data from 31 provinces in China from 2000-2020, and the impact of high pressure (low suction) and heterogeneity on GWRE by environmental regulations is explored. The results revealed that the high pressure of environmental regulation significantly promoted the improvement of GWRE, but the improvement effect of low suction power was not significant. Similar conclusions are drawn under the tests of population size-economic distance and population size-technology distance. The high pressure of market-type and autonomous-type environmental regulation has a significant effect on GWRE, while the improvement effect of command-type environmental regulation is weak. The high pressure of environmental regulation in the eastern, central, western, and northeastern regions has a decreasing effect on GWRE. It is recommended to break the principle of GDP performance appraisal, establish and improve the "green performance" evaluation system, adopt regional differentiated environmental regulation policies, and establish a modern green water resources industrial structure system., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Under the impact of "double-carbon" target, transition finance has an important impact on green innovation of Chinese double-high enterprises. Using a sample of 4270 high-polluting and high-energy-consumption listed enterprises (referred to as double-high enterprises) in China from 2012 to 2021, this paper empirically examines the impact of transition finance on the green innovation of China's double-high enterprises by using a fixed-effects model. The study finds that transition finance can have a facilitating effect on green innovation in double-high enterprises. The intermediary mechanism test shows that transition finance can promote green innovation of double-high enterprises through alleviating financing constraints, increasing the level of green management, and enhancing the policy orientation effect. The heterogeneity test finds that transition finance promotes green innovation more significantly for the double-high enterprises that are state-owned, large-scale, and located in regions with high levels of intellectual property protection. Further research finds that the role of transition finance in promoting green innovation in double-high enterprises helps to promote the achievement of green development of double-high enterprises., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Based on the system theory and Pareto efficiency theory, this paper, based on the data of listed companies in China's A-share manufacturing industry in 2011-2022, explores the impact of market-driven green finance and government-guided green finance on the carbon emission intensity of manufacturing enterprises, and analyzes the intermediary role of debt financing cost. A negative "U" relationship exists in market-driven green finance/government-guided green finance and the carbon emission intensity of manufacturing enterprises. Further research shows that under the higher debt financing cost, market-driven green finance played a weaker carbon reduction effect. The heterogeneity analysis found that market-driven green finance can have a significant non-linear impact of "promoting growth first and weakening later" on the carbon emissions of energy-saving and environmental protection enterprises, large enterprises, and enterprises with high human capital levels. Government-guided green finance has a significant non-linear impact on non-energy-saving and environmental protection enterprises and small enterprises. This paper provides the theoretical basis and practical inspiration for the government to formulate relevant low-carbon development policies and promote the innovation of green financial tools in the financial market., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Carbon emissions have risen in line with China's economic expansion. The key to sustainable development is finding a way to strike a balance between economic expansion and environmental protection, so improving carbon emission efficiency is vital. This paper uses provincial data from 2010 to 2020 to account for total carbon emissions using the emission factor method and obtains carbon emission efficiency data on this basis. A dynamic spatial Durbin model is then used to empirically test the possible influencing factors. The results show that, firstly, the growth rate of total carbon emissions is generally in line with the growth rate of GDP, indicating that there is no 'decoupling' in the economic system. Second, regional carbon emissions and carbon emission efficiency are not necessarily related. Thirdly, there is a clear spatial effect on carbon emission efficiency. The eastern region has the highest carbon emission efficiency, the western region has the lowest, and the northeastern and central regions have little difference in carbon emission efficiency. Further spatial and temporal migration analysis reveals that five provinces have made the migration between 2010 and 2020. Fourthly, in the short term, the direct and indirect effects of the factors affecting carbon emission efficiency are insignificant, but in the long term, most of the factors have significant direct and indirect effects on carbon emission efficiency. Finally, based on the above research findings, this paper makes policy recommendations., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The construction of low-carbon cities is an essential component of sustainable urban development. However, there is a lack of a comprehensive low-carbon city design and evaluation system that incorporates "carbon sink accounting-remote sensing monitoring-numerical modelling-design and application" in an all-around linkage, multi-scale coupling, and localized effects. This paper utilizes the Citespace tool to evaluate low-carbon city design applications by analyzing literature in the Web of Science (WOS) core collection database. The results reveal that low-carbon cities undergo four stages: "measurement-implementation-regulation - management." The research themes are divided into three core clustering evolutionary pathways: "extension of carbon sink functions," "spatialisation of carbon sink systems," and "full-cycle, full-dimensional decarbonisation." Applications include "Utility studies of multi-scale carbon sink assessments," "Correlation analysis of carbon sink influencing factors," "Predictive characterisation of multiple planning scenarios," and "Spatial planning applications of urban sink enhancement." Future low-carbon city construction should incorporate intelligent algorithm technology in real-time to provide a strong design basis for multi-scale urban spatial design with the features of "high-precision accounting, full-cycle assessment and low-energy concept.", (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Innovation in green technology is an efficient approach to reducing carbon emissions and achieving energy conservation, which is essential for fostering sustainable and green economic development. Even though the development of eco-friendly technologies is accelerating, the grasp of how political ties affect firms' adoption of green technologies remains hazy. This paper examines the effect of a firm's total political embeddedness (government ownership and political connections) along with the influencing mechanisms by employing a panel fixed effect regression approach on a dataset of Chinese A-share enterprises operating in pollution-intensive industries spanning 2012 to 2021. The findings offer conclusive evidence that political embeddedness encourages the enterprises' development of green technologies and boosts their output of innovation. In addition, mechanism analysis reveals that companies' political embedding influences their green innovation behavior through environmental disclosure. Moreover, board gender diversity and company growth rate are found to reinforce the impact of political embeddedness on green innovation. Besides expanding the current research on green innovation and corporate political involvement, the findings also provide important policy recommendations for the sustainable development of companies in emerging markets., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Innovative human capital (IHC) can boost the economic growth of nations. However, in recent years, economies have become more attuned to sustainable development. In this context, it is important to assess the potential impact of IHC on green growth. Against this background, this study empirically examines the role of IHC on regional green growth in China, considering the spatial spillover effect and focusing on the quantity and quality of human capital and its direct and indirect effects on green growth. To this end, this paper adopts the spatial Durbin model, constructs an indicator system to evaluate green growth, and establishes a calculation formula for the quantity and quality of IHC. The empirical analysis provided some important findings. First, IHC and green growth have strong spatial correlation characteristics. Second, the quantity of IHC has a significant positive impact on regional green growth; however, the quality of IHC does not promote regional green growth. Third, the quantity and quality of IHC indirectly improve the level of regional green growth through technological progress. Finally, the role of IHC and its spatial spillover effect in improving the regional green growth level are most obvious in the central and western regions of China. Therefore, promoting green growth requires enhancing the accumulation of IHC and narrowing the gap between eastern and western China in the accumulation of IHC., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Solving the crash risk problem of corporate stock price caused by information asymmetry can mitigate the negative externality of its carbon emission to become green, low-carbon, and high-quality development. Green finance generally profoundly impacts micro-corporate economics and macro-financial systems but remains a giant puzzle of whether they can effectively resolve the crash risk. This paper examined the impact of green financial development on the stock price crash risk using the sample data of non-financial listed companies in Shanghai and Shenzhen A stock market in China from 2009 to 2020. We found that green financial development significantly inhibits the stock price crash risk; this is more obvious in listed companies with a high level of asymmetric information. And companies in high-level regions of green financial development attracted more attention from institutional investors and analysts. As a result, they disclosed more information about their operational status, thus reducing the crash risk of corporate stock price from the torrential public pressure of lousy environmental details. Therefore, this study will help continuously discuss the costs, benefits, and value promotion of green finance for synergy between corporate performance and environmental performance to improve ESG capabilities., (© 2023. The Author(s).)

Accurately assessing the susceptibility of debris flow disasters is of great significance for reducing the cost of disaster prevention and mitigation, as well as disaster losses. Machine learning (ML) models have been widely used in the susceptibility assessment of debris flow disasters. However, these models often have randomness in the selection of non-disaster data, which can lead to redundant information and poor applicability and accuracy of susceptibility evaluation results. To address this issue, this paper focuses on debris flow disasters in Yongji County, Jilin Province, China; optimizes the sampling method of non-disaster datasets in machine learning susceptibility assessment; and proposes a susceptibility prediction model that couples information value (IV) with artificial neural network (ANN) and logistic regression (LR) models. A debris flow disaster susceptibility distribution map with higher accuracy was drawn based on this model. The model's performance is evaluated using the area under the receiver operating characteristic curve (AUC), information gain ratio (IGR), and typical disaster point verification methods. The results show that the rainfall and topography were found to be decisive factors in the occurrence of debris flow disasters, and the IV-ANN model established in this study had the highest accuracy (AUC = 0.968). Compared to traditional machine learning models, the coupling model produced an increase in economic benefit of about 25% while reducing the average disaster prevention and control investment cost by about 8%. Based on model's susceptibility map, this paper proposes practical disaster prevention and control suggestions that promote sustainable development in the region, such as establishing monitoring systems and information platforms to aid disaster management., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

As global climate change aggravates, reducing energy consumption and environmental pollution is essential to sustainable economic development. This paper measures the energy-environmental efficiency of 284 prefecture-level cities in China using a non-radial directional distance function (NDDF) and data envelopment analysis (DEA), and evaluates the impact of the establishment of national new zones on energy-environmental efficiency using the multi-period difference-in-difference model (DID). The results are: first, establishing national new zones improves the energy-environmental efficiency of the prefecture-level cities in which they are located by 13%-25%, and the mechanisms include enhancing the green technical efficiency and scale efficiency. Second, national new zones have both negative and positive spatial spillover effects. Third, in terms of heterogeneity, the impact of establishing national new zones on energy-environmental efficiency increases with larger quantile of the latter; national new zones with the one-city layout have significant stimulating impacts on energy-environmental efficiency, but those with the two-city layout have no significant impact, which means there is no significant green synergistic development impact among cities. We also discuss the policy implications of the research, including enhanced policy support and regulation to support the energy environment sector., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Since the reform and opening up, China's urbanization level has rapidly increased. However, urban civilization construction lags behind, creating a series of problems, such as environmental pollution, further restricting the healthy and sustainable development of cities. Therefore, China has carried out top-down civilized city construction led by the government. This paper regards the "national civilized city" selection implemented by the Chinese government as a quasi-natural experiment and empirically tests the impact of government-led civilized city construction on urban green innovation and the mechanism of this impact by using the progressive difference-in-differences (DID) model based on panel data of 281 Chinese cities from 2003 to 2018. The results show that civilized city construction contributes to increasing the level of urban green innovation, which is supported by a series of robustness tests conducted through variable substitution and sample adjustment. The quantile regression results show that the higher the level of green innovation, the stronger the green innovation effect of civilized city construction. This finding indicates that the marginal effect of green innovation in civilized city construction is gradually enhanced with the gradual increase in the level of green innovation in cities. The mediating effect analysis shows that civilized city construction can provide financial support for green innovation activities by promoting the expansion of the urban investment scale, which, in turn, increases the level of urban green innovation. In addition, environmental regulation can strengthen the promoting effect of civilized city construction on green innovation. These findings hold important theoretical and practical significance for understanding the green innovation effect of government-led civilized city construction and further leveraging the important role of government in the construction of the urban business environment as a means to promote urban investment clustering, lay the factor foundation for green innovation and strengthen the synergy between environmental regulation policies and civilized city construction policies., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

As an important representation of sustainable land development, land function has become a research hot spot in the land research field. To explore the spatiotemporal evolution pattern and its driving mechanism of land function in China, an evaluation index system of land function was constructed. We adopted the weighted sum method to evaluate the land function and used the dynamic change degree of the land function and the coefficient of variation to analyze the spatiotemporal evolution characteristics of the land function. The driving mechanism of land function evolution was studied using grey relational analysis and multiple stepwise regression. The results showed that (1) from 200 to 2019, the total land function (TLF) increased by 10.41%, initially increasing and then decreasing. The land social function (LSF) and land bearing function (LBF) increased by 42.05% and 17.35%, respectively, while the land productive function (LPF), land cultural leisure function (LCF), and land ecological function (LEF) decreased by 3.64%, 4.25%, and 2.51%, respectively. (2) The spatial distribution of the LPF and LCF decreased from east to west, the distribution law of the LSF spread from the edge to the inside, the LBF showed a distribution state of high in the southeast and low in the northwest, and the spatial change law of the LEF decreased from west to east. (3) The driving factors of land function were the built-up area, urbanization rate, population density, and proportion of education expenditure. This paper provides a reference for improving land functions and for the sustainable utilization of land resources., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Urbanization and eco-efficiency are two interactive systems, contributing to sustainable urban development jointly. However, the synchronized development between them has not received sufficient attention. In light of this gap, this paper conducts an analysis on seeking the synchronized development between sustainable urbanization and eco-efficiency in the context of China. The aim of this study is to uncover the spatial and temporal performance of the synchronized relationship between urbanization process (UP) and eco-efficiency (EE) in a sample of 255 Chinese cities. To this end, entropy method, super efficiency SBM and coupling coordination degree model are employed to conduct the research analysis, covering the period of 2005 to 2019. The findings of this study reveal that (1) there is about 97% of the surveyed cities that exhibit a moderate level of coupling coordination between urbanization process and eco-efficiency (CC-UE). (2) Spatial disparities in the performance of CC-UE are evident, with cities in South and Southeast China demonstrating better CC-UE performance than their counterparts. However, this disparity has been gradually diminishing in recent years. (3) Local perspective presented an evident spatial autocorrelation within the 255 cities analyzed. These research findings provide valuable insights not only for the policy-makers and practitioners to adopt measures for achieving a synchronized development between urbanization process and eco-efficiency in the Chinese context, but also for further studies on sustainable development in the international context., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)