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中国人口·资源与环境（英文版）
中国人口·资源与环境（英文版）

王伟中

季刊

1004-2857

wenwj@sdnu.edu.cn;lxw@sdnu.edu.cn

0531-86182968

250014

山东省济南市文化东路88号

中国人口·资源与环境（英文版）/Journal Chinese Journal of Population, Resources and EnvironmentCSTPCD
查看更多>>本刊是中国唯一以可持续发展综合研究为宗旨的英文学术期刊。中文刊名对小平同志亲笔题写。
正式出版
收录年代

    Synergistic dance of digital economy and green finance on carbon emissions:Insights from China

    Ruiqi WangWenqi Zhao
    213-229页
    查看更多>>摘要：China has recently implemented a dual-carbon strategy to combat climate change and other environmental is-sues and is committed to modernizing it sustainably.This paper supports these goals and explores how the digital economy and green finance intersect and impact carbon emissions.Using panel data from 30 Chinese provinces over the period 2011-2021,this paper finds that the digital economy and green finance can to-gether reduce carbon emissions,and conducts several robustness tests supporting this conclusion.A heteroge-neity analysis shows that these synergistic effects are more important in regions with low levels of social con-sumption Meanwhile,in the spatial dimension,the synergistic effect of the local digital economy and green fi-nance adversely impacts the level of carbon emissions in surrounding areas.The findings of this paper provide insights for policymakers in guiding capital flow and implementing carbon-reduction policies while fostering the growth of China's digital economy and environmental sustainability.
      原文链接:
    • 万方数据
    • 维普

    Moderating effect of corporate financialization on the impact of climate policy on corporate green innovation:Evidence from China

    Chao TuZhilong QinQingqing Yang
    230-240页
    查看更多>>摘要：With intensifying global climate change,humanity is confronted with unparalleled environmental challenges and risks.This study employs the staggered difference-in-difference model to examine the relationship be-tween climate policy and green innovation in the corporate financialization context.Using Chinese-listed com-pany data from 2008 to 2020,our analysis reveals a favorable correlation between China's carbon emission trading policy(CCTP)and advancements in green innovation.Furthermore,we find that the level of corporate financialization moderates this correlation,diminishing the driving effect of CCTP on green innovation.Addi-tionally,results of heterogeneity analysis show that this moderating consequence is more evident in non-state-owned and low-digitization enterprises compared with state-owned and high-digitization ones.Our findings contribute to the existing literature by clarifying the interaction between CCTP,green innovation,and corpo-rate financialization.Our research provides valuable insights for policymakers and stakeholders seeking to strengthen climate policies and encourages green innovation in different types of businesses.
      原文链接:
    • 万方数据
    • 维普

    Megacity pathways in China under the dual carbon goal:The case of Shanghai

    Weiduo ZhouFengqi ZhouGuiyang Zhuang
    241-249页
    查看更多>>摘要：The pathways to achieving carbon neutrality at the city level are diverse due to varying energy supply and de-mand conditions.Shanghai faces obstacles such as limited land resources,high costs of renewable energy tech-nologies,and instability of renewable energy.These challenges hinder the city's efforts to achieve carbon peak and carbon neutrality(dual carbon).Therefore,Shanghai must identify and optimize its development path for renewable energy under the dual carbon goal.We employed the Low Emissions Analysis Platform-Shanghai(LEAP-SH)model to simulate the impact of policies,such as industrial upgrading,energy efficiency improvement,energy structure optimization,increased technical innovation on energy,and ecological restora-tion,on the carbon emission pathways from 2022 to 2060 using five different scenarios.Our results indicate that Shanghai has the potential to achieve carbon neutrality in 2059 by promoting carbon reduction,pollution control,and green expansion.Moreover,we determined that the manufacturing industry;power generation in-dustry;and transportation,storage,and mail services are the three major sectors for emission reduction under the dual carbon goal.Furthermore,the capacity and output of coal-fired power plants will be gradually re-placed by offshore wind power in the dual carbon pathway.Finally,this study proposes countermeasures and suggestions for Shanghai to attain the dual carbon goal and high-quality development.
      原文链接:
    • 万方数据
    • 维普

    Effect of building energy efficiency standards on carbon emission efficiency in commercial buildings

    Xia WangQi YeYan DuMao Zhou...
    250-257页
    查看更多>>摘要：The building sector plays a crucial role in the worldwide shift toward achieving net-zero emissions.Building energy efficiency standards(BEESs)are highly effective policies for reducing carbon emissions.Therefore,ex-ploring the provincial variations in carbon emission efficiency(CEE)in the building sector and identifying the effect of BEESs on CEE is crucial.This study focuses on commercial buildings in China and applies a difference in differences model to evaluate the impact of BEESs on the CEE of commercial buildings.The slacks-based measure-data envelopment analysis model is employed to assess the CEE of commercial buildings in 30 Chi-nese provinces from 2000 to 2019.Furthermore,heterogeneous tests are used to explore how climate charac-teristics and economic conditions affect the efficiency of BEESs.The results indicate that BEESs positively in-fluence the CEE of commercial buildings.Specifically,a 1%increase in the intensity of BEESs causes a 0.148 4%increase in the CEE of commercial buildings.Moreover,the impact of BEESs is particularly pro-nounced in the southern and western provinces.This study provides valuable scientific evidence for govern-ments to enhance BEESs implementation.
      原文链接:
    • 万方数据
    • 维普

    Research on the impact of manufacturing servitization on environmental pollution:spatial econometric analysis of sulfur dioxide based on 284 prefecture-level cities

    Qiu XiaZhibin Zhou
    258-267页
    查看更多>>摘要：Using China's regional input-output table,the paper constructs indicators of manufacturing servitization,matches manufacturing servitization at the regional level with city data,and uses spatial econometrics to em-pirically analyze the impact of manufacturing servitization on urban sulfur dioxide(SO2)emissions within the classical Environmental Kuznets Curve(EKC)framework.The results show that manufacturing servitization can reduce SO2 emissions.Producer servitization and consumptive services can both significantly reduce indus-trial SO2 emissions.Transportation and warehousing servitization,information servitization,leasing,and com-mercial servitization,technology research and development servitization significantly reduce SO2 emissions;technology research and development servitization,in particular,have the largest influence coefficient,while the reduction effect of servitization in the wholesale and retail and finance sectors is not significant.The study also found that servitization reduced the SO2 emissions through technological innovation and industrial struc-ture upgrading.
      原文链接:
    • 万方数据
    • 维普

    Impact of air pollution on urbanization:evidence at China's city level

    Yanchun YiYixin GengJiawen WuYinling Liu...
    268-274页
    查看更多>>摘要：This paper investigates the effect and transmission mechanism of air pollution on urbanization based on data from China's 107 cities during 2005-2018.In order to identify the impact of air pollution on China's urban-ization,we utilized night light data to represent the level of urbanization and used temperature inversion as an instrumental variable to mitigate endogeneity within the two-stage least squares framework.The results suggest that air pollution significantly slowed China's urbanization process with economic growth acting as the transmission mechanism.The heterogeneity analyses revealed that air pollution had a greater negative im-pact on urbanization in northern regions than that in southern regions,and a greater negative impact in resource-oriented cities than that in non-resource-based cities.We also find that air pollution was to the detri-ment of urbanization in larger cities,which have more than 3 million residents,while it did not have a signifi-cant impact on Type II large cities,which have fewer than 3 million residents.
      原文链接:
    • 万方数据

    Constructing a standard system of city sustainable development assessment technology based on the SDGs

    Maomao YanFeng YangChao LiDehua Guo...
    275-290页
    查看更多>>摘要：Given the rapid development of China's new urbanization,cities with different locations and varying func-tional positioning,resource endowments,and development stages have insufficient scientific and applicable technical tools for implementing the United Nations Sustainable Development Goals(SDGs).City managers and policymakers must urgently establish SDG benchmarks to diagnose city development.Moreover,success-ful experiences from similar cities regarding sustainable development and self-improvement must be learned from to promote diversified,sustainable development across the country.Furthermore,emerging technologies such as artificial intelligence,the Internet of Things,big data and 5G are widely used in smart cities.There-fore,there is a growing need for"knowledge-based,personalized and intelligent"technologies to support monitoring,evaluation,and decision-making processes facilitating sustainable development in cities.This pa-per uses standardization as the theoretical support and technical basis.This approach can help clarify the sus-tainable development processes in China and clarify the evaluation results of and provide data on horizontal city comparisons,which can be used to develop evaluation technology for sustainable development in cities and construct a standardized system.The results provide a standard framework for intelligent assessment and decision-making regarding cities'sustainable development capabilities in China.Evaluating major interna-tional standardization institutions reveals that the practices of Chinese national standards should be fully ab-sorbed and integrated to guide the evaluation of smart,resilient,and low-carbon cities.To this end,an indica-tor library of city sustainable development is proposed to provide standard evaluation technology methods.Fi-nally,analyzing the response relationship of the indicator library to SDGs reveals the need for a standardized knowledge map of sustainable development assessment techniques and methods from the perspective of inte-grated management for sustainable development in cities.
      原文链接:
    • 万方数据
    • 维普

    Identifying influencing factors and characterizing key issues in urban sustainable development capacity through machine learning

    Houbo ZhouLijie GaoLongyu ShiQiuli Lv...
    291-304页
    查看更多>>摘要：In response to the United Nations Sustainable Development Goals and China's"Dual Carbon"Goals(DCGs means the goals of"Carbon Peak and carbon neutrality"),this paper from the perspective of the construction of China's Innovation Demonstration Zones for Sustainable Development Agenda(IDZSDAs),combines carbon emission-related metrics to construct a comprehensive assessment system for Urban Sustainable Development Capacity(USDC).After obtaining USDC assessment results through the assessment system,an approach com-bining Least Absolute Shrinkage and Selection Operator(LASSO)regression and Random Forest(RF)based on machine learning is proposed for identifying influencing factors and characterizing key issues.Combining Cou-pling Coordination Degree(CCD)analysis,the study further summarizes the systemic patterns and future di-rections of urban sustainable development.A case study on the IDZSDAs from 2015 to 2022 reveals that:(1)the combined identification method based on machine learning and CCD models effectively quantifies influ-encing factors and key issues in the urban sustainable development process;(2)the correspondence between influencing factors and key subsystems identified by the LASSO-RF combination model is generally consistent with the development situations in various cities;and(3)the machine learning-based combined recognition method is scalable and dynamic.It enables decision-makers to accurately identify influencing factors and char-acterize key issues based on actual urban development needs.
      原文链接:
    • 万方数据
    • 维普

    Selection of media tools for community planning:A study from the perspective of communicative planning

    Xiaotong ZhangLinjun YuYang Li
    305-311页
    查看更多>>摘要：In community planning,due to the lack of evidence regarding the selection of media tools,this study exam-ines how a common but differentiated ideal speech situation can be created as well as how more appropriate media tools can be defined and selected in the community planning process.First,this study describes the con-cept and theoretical basis of media used in community planning from the perspectives of the multiple effects of media evolution on communicative planning.Second,the classification criteria and typical characteristics of media tools used to support community planning are clarified from three dimensions:acceptability,cost-effectiveness,and applicability.Third,strategies for applying media tools in the four phases of communicative planning—namely,state analysis,problem identification,contradictory solution and optimization—are de-scribed.Finally,trends in the development of media tools for community planning are explored in terms of multistakeholder engagement,supporting scientific decision-making and multiple-type media integration.The results provide a reference for developing more inclusive,effective,and appropriate media tools for enhancing decision-making capacity and modernizing governance in community planning and policy-making processes.
      原文链接:
    • 万方数据
    • 维普

    Assessment of rural sustainable development and analysis and prediction of obstacles and coupled coordinated development:A case study of Zaozhuang City

    Xuesong ZhanHuize ZhangYufei ZhaoYu He...
    312-325页
    查看更多>>摘要：In China,the Innovation Demonstration Zone for the National Sustainable Development Agenda is a key initia-tive for executing the United Nations(UN)2030 Agenda for Sustainable Development.The Zone also plays critical roles in addressing the developmental bottlenecks that China faces and sharing Chinese insights into global sustainable development efforts.On July 15,2022,the State Council endorsed the Zone's establish-ment in Zaozhuang City,Shandong Province,where it focuses on innovation-led sustainable development in rural areas.Research into the levels,impediments,interdependencies,and evolutionary trends of rural sustain-able development is crucial.Therefore,this research aimed to assist in comprehensively assessing developmen-tal challenges and facilitating the harmonious advancement of social,economic,and environmental aspects in rural areas.In pursuit of the three fundamental dimensions of the UN's Sustainable Development Goals(SDGs),namely development's drivers,quality,and equity,this study was grounded in China's national Rural Revitalization Strategy and the demands of sustainable development strategies.It also aligns with the UN 2030 Agenda for Sustainable Development and the associated SDG indicators.Focusing on four key areas,namely production elements,natural elements,social elements,and rural governance,this study developed an evaluation index system for assessing the level of rural sustainable development.It employed a range of ana-lytical models,including the game theory-based combination empowerment method,barrier degree model,coupling degree model,coupling coordination degree model,and gray prediction GM(1,1)model,to analyze the status and evolving trends of rural sustainable development in Zaozhuang City from 2015 to 2022.The key findings were as follows:① Relative to the baseline year 2015,the sustainable development level in Zao-zhuang's rural areas has shifted toward an improved state overall.② The primary barrier to achieving rural sustainable development in Zaozhuang is the city's rural governance system.③ While the components of ru-ral sustainable development in Zaozhuang are in the early stages of both basic and moderate coordination,an overall enhancement has occurred in their integrative coordination.④ Between 2023 and 2025,the level of integrative coordination in Zaozhuang is expected to rise steadily.However,reaching a state of advanced coor-dination will require additional time for development.
      原文链接:
    • 万方数据
    • 维普