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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.)

In 2011, aiming to achieve sustainable development in the transportation sector, the Chinese government started a pilot policy of low-carbon transportation system (LCTS). Based on the panel data for 280 prefecture-level cities in China from 2006 to 2017, we first measure carbon efficiency by using the SBM-DEA model, and identify the direct and spatial spillover effects of LCTS on carbon efficiency and carbon intensity by adopting a spatial difference-in-differences approach (SDID). The results indicate that LCTS construction not only enhances local carbon performance but also has a significant spatial spillover effect in neighboring cities. The results are still valid after a series of robustness tests. The mechanism analysis reveals that LCTS can elevate carbon performance by improving energy efficiency, green innovation, and developing public transit. The direct and indirect effects of LCTS on carbon performance show more pronounced effects in megalopolis and eastern region. This paper provides reliable empirical evidence for the effect of LCTS on carbon performance, which is conducive to deepening the understanding of carbon emissions and has a high reference value for the rational formulation of carbon reduction policies., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

In light of the growing demand for green and low-carbon development, the advancement of low-carbon agriculture in alignment with China's specific national circumstances is imminent. Given this urgency, the accounting of non-CO2 greenhouse gas (GHG) emissions in China's agricultural system is still in the process of continuous research and improvement. Therefore, in this paper, we present an account of agricultural non-CO2 GHG emissions in Southwest China from 1995 to 2021, based on the carbon emission coefficient method. Furthermore, we explore the extent of the influence of the drivers and the relationship with economic development, utilizing the Stochastic Impact of Regression of Population, Affluence, and Technology (STIRPAT) model and the Tapio model. We observe a general trend of increasing and then decreasing non-CO2 GHG emissions from agriculture in the Southwest region, with a pattern of higher in the center and lower in the east and west. Economic, demographic, structural, and technological levels show different degrees of impact in different provinces, favoring the development of targeted agricultural planning policies in each region. For the majority of the study period, there was a weak or strong decoupling between economic growth and GHG emissions. Finally, recommendations are made to promote low-carbon agricultural development in Southwest China, providing a database and policy support to clarify the GHG contribution of the agricultural system. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to examine whether chief executive officer's (CEO) information technology (IT) background can affect enterprises' continuous green innovation (CGI). Design/methodology/approach: This study uses the data of China's listed enterprises from 2011 to 2019. Findings: The statistical results reveal that when a company hires a CEO with an IT background, its CGI can be higher. Firm ownership, firm digitization and industry bias alter the impact of CEO's IT background on firms' CGI. This effect is most pronounced in non-state-owned enterprises (non-SOEs), high-digitalized enterprises and skill-biased industries, while not in SOEs, low-digitalized enterprises and labor-biased industries. Practical implications: This study has practical implications, as it measures CGI of enterprises. It also points to the necessity for a CEO's IT background to enhance CGI. Social implications: The findings provide new strategies for incentivizing sustainable development and green innovation. Originality/value: To the best of the authors' knowledge, this study is the first to discuss the association between CEO's IT background and enterprises' CGI. The conclusions enrich both upper echelons theory and enterprise green innovation literature. [ABSTRACT FROM AUTHOR]

Carbon neutrality achievement has had a major transformative effect on the economic and social development of countries and regions. Therefore, this study focuses on analyzing the effectiveness of environmental regulation policies in promoting institutional dividends and seeks to examine the relationship between environmental regulatory policies and green innovation development through the lens of green patents. Panel data from industrial enterprises listed in Shanghai and Shenzhen from 2010 to 2019 were used in this research, which employed fixed-effect and media-effect models to investigate the impacts and mechanisms of various types of environmental regulatory tools on corporate green innovation. The results showed that different types of environmental regulation tools have varying effects on corporate green innovation. Specifically, command-based and market-oriented environmental regulations have a positive "U-shaped" impact, whereas voluntary environmental regulations have an inverted "U-shaped" impact. Furthermore, it was found that the "innovation compensation effect" generated by the implementation of environmental regulation policies has a greater positive impact than the negative impact of the "compliance cost effect." Additionally, geographical location and enterprise ownership play a role in determining the impact of environmental regulations on corporate green innovation. These findings emphasize the importance of strengthening environmental regulatory policies to achieve regional carbon-neutral development. Our research provides recommendations and ideas for better achieving this goal. [ABSTRACT FROM AUTHOR]

Corporate overseas investment is a pivotal element of the Belt and Road Initiative (BRI). As an all-round opening-up strategy, the BRI has brought new ideas to international cooperation, and Chinese enterprises should seize this opportunity to promote global sustainable development. Adopting the data of Chinese listed enterprises from 2011-2020, this paper investigates the impact of the BRI on corporate overseas investment (COI) and its mechanisms via exploiting the difference-in-differences model (DID). Results show that the BRI has significantly facilitated the COI along the routes. We observe that the findings still hold after a series of robustness tests. Mechanism analysis verifies that tax incentives and credit environment improvement are the main channels by which BRI enhances COI. Heterogeneity results reveal that this initiative is more prominent for small and medium-sized enterprises and enterprises in dominant industries. The extensive analysis suggests that from a sustainable development perspective, the BRI facilitates more overseas investment of enterprises in polluting or high energy-consuming industries; the COI is more affected by BRI in regions with more stringent environmental regulations. This study provides empirical evidence for BRI construction and regional development. [ABSTRACT FROM AUTHOR]

Measuring regional differences in agricultural green total factor productivity (AGTFP) provides a basis for policy guidance on agricultural green development in the Yangtze River Delta (YRD) region. By constructing a two-period Malmquist–Luenberger index under the carbon emission constraint, we measure the AGTFP of cities in the YRD region from 2001 to 2019. Furthermore, adopting the Moran index method and the hot spot analysis method, this paper analyzes the global spatial correlation and local spatial correlation of AGTFP in this region. Moreover, we investigate its spatial convergence. The results show that the AGTFP of 41 cities in the YRD region is on an increasing trend; the growth of AGTFP in the eastern cities is mainly driven by green technical efficiency, while this growth in the southern cities is mainly stimulated by green technical efficiency and green technological progress. We also find a significant spatial correlation between cities' AGTFP in the YRD region from 2001 to 2019, but with certain fluctuations, showing a U-shaped trend of "strong-weak-strong". In addition, absolute β convergence of the AGTFP exists in the YRD region, and this convergence speed is accelerated with the addition of spatial factors. This evidence provides support for implementing the regional integration development strategy and optimizing the regional agricultural spatial layout. Our findings offer implications for promoting the transfer of green agricultural technology to the southwest of the YRD region, strengthening the construction of agricultural economic belts and agricultural economic circles, and improving the efficiency of agricultural resource use. [ABSTRACT FROM AUTHOR]

The sustainable development policy targeting resource-based cities (RBC) is a critical measure initiated by China's government to transform these cities. Green technology innovation (GTI) has surfaced as a pivotal route in achieving sustainable development in RBCs. However, whether implementing this policy can induce GTI remains underexplored. To fill this gap, exploiting the National Plan for Sustainable Development of Resource-based Cities (2013–2020) (NPSDRC) as a quasi-natural experiment, we employ the difference-in-differences (DID) method to examine the influence of NPSDRC on corporate GTI and potential mechanisms. We observe that NPSDRC significantly reduces the GTI of RBC enterprises. Mechanism analysis reveals that NPSDRC escalates environmental governance costs and decreases R&D investment, impeding corporate GTI. Meanwhile, our findings suggest that providing more bank loans and tax incentives could weaken this adverse effect on corporate GTI. Heterogeneity results indicate that non-SOEs, enterprises with weak financing capabilities, enterprises with long-sighted vision, and high energy consumption enterprises are more susceptible to the influence of NPSDRC. This study offers empirical evidence for countries seeking to employ policies to drive the transformation of RBCs. [ABSTRACT FROM AUTHOR]

The urbanization mode plays a crucial role in urban energy transformation and greenhouse gas emissions. However, the existing research on how government-driven urbanization (GDU) influences urban carbon emissions is relatively insufficient. By combining satellite imagery data and socio-economic data between 1999 and 2021, this research exploits China's city-county mergers (CCM) as a quasi-experiment trial to investigate the impact of GDU on carbon emissions based on the staggered difference-in-differences (DID) approach. This study indicates that GDU results in a 1.8% decrease in carbon emission intensity. The mechanism analysis shows that GDU reduces carbon emission intensity through population agglomeration, intensive land use, and industrial structure adjustment. Heterogeneity analysis shows that GDU's policy effect is influenced by the county's geographical location and socio-economic characteristics. The reform influence is more compelling in counties located on the administrative boundary, with less financial pressure or a better industrial foundation. In the future, policymakers need to nudge for urbanization appropriately according to specific scenarios and promote urban energy transition and carbon reduction. [ABSTRACT FROM AUTHOR]

Cities based on coal resources have increasingly important social and economic roles in China. Their strategies for sustainable development, however, urgently need to be improved, which represents a huge challenge. Most observers believe that the continued progress of these cities relies on the optimization of scientific adaptive management in which social, economic, and ecological factors are incorporated. A systems perspective that combines policies, management priorities, and long-term policy impacts needs to be applied. To date, however, such an approach has not been adopted, which means it is difficult to implement adaptive management at the regional scale. In this study, we used various situations to develop a multiple adaptive scenario system dynamics model. We then simulated a range of policy scenarios, with Ordos in the Inner Mongolia Autonomous Region as a case study. Simulation results showed that the current strategy is not sustainable and predicted that the system would exceed the environmental capacity, with risks of resource exhaustion and urban decline in 2025-2035. Five critical policy variables, including the urban population carrying capacity, rates of water consumption and water recycling, and expansion of urban land cover, were identified during sensitivity analysis. We developed and compared six socio-economic scenarios. The urban area, represented by the urban population density, seemed to transition through five different stages, namely natural growth, rapid growth, stable oscillation, fading, and rebalancing. Our scenarios suggested that different policies had different roles through each stage. The water use efficiency management policy had a comprehensive far-reaching influence on the system behavior; land urbanization management functions dominated at the start, and population capacity management was a major control in the mid-term. Our results showed that the water recycling policy and the urban population carrying capacity were extremely important, and both should be reinforced and evaluated by the local governments. [ABSTRACT FROM AUTHOR]

The rationalization of land resource utilization, affected by increasing stringent guidance of urban land supply regulations, is a vital path for countries to achieve their sustainable development goals. However, evidence on environmental effects of land supply regulations is scarce. Thus, adopting China's land supply policy, we investigate the impact of land supply admittance regulations (LSARs) on urban carbon emissions (UCEs) by using the land market transaction data and carbon emission data of China's 285 cities from 2007 to 2019. The result shows that LSARs notably curb UCEs, with UCEs decreasing by 0.051 standard units (approximately 1.052 g CO 2 per RMB) for each 1 standard unit increase in LSARs. After introducing the instrumental variable to deal with endogenous issues, this conclusion remains robust. Mechanism analysis indicates that the carbon abatement effect of LSARs is through structural and efficiency two main channels: the industrial structure advancement from quantity and quality; the green production efficiency from scale and technology. Furthermore, heterogeneity results demonstrate that the reduction effect varies in admittance regulations setting, government intervention, land supply marketization, and environmental regulations. Our findings provide valuable insights for other economies seeking to adopt land-based policy instruments for carbon governance and urban sustainability. • Land supply admittance regulations (LSARs) notably cut urban carbon emissions (UCEs). • Industrial structure and production efficiency are the channels that curb UCEs. • Under high government intervention and land marketization, LSARs notably cut UCEs. • LSARs have a stronger carbon reduction effect under looser environmental regulations. [ABSTRACT FROM AUTHOR]