Dynamic evaluation of digital and green development policies based on text mining of the PMC framework

Aiming to identify policy topics and their evolutionary logic that enhance the digital and green development(dual development)of traditional manufacturing enterprises,address weaknesses in current policies,and provide resources for refining dual development policies,a total of 15954 dual development-related policies issued by national and various departmental authorities in China from January 2000 to August 2023 were analyzed.Based on topic modeling techniques and the policy modeling consistency(PMC)framework,the evolution of policy topics was visualized,and a dynamic assessment of the policies was conducted.The results show that the digital and green development policy framework is progressively refined,and the governance philosophy shifts from a“regulatory government”paradigm to a“service-oriented government”.The support pattern evolves from“dispersed matching”to“integrated symbiosis”.However,there are still significant deficiencies in departmental cooperation,balanced measures,coordinated links,and multi-stakeholder participation.Future policy improvements should,therefore,focus on guiding multi-stakeholder participation,enhancing public demand orientation,and addressing the entire value chain.These steps aim to create an open and shared digital industry ecosystem to promote the coordinated dual development of traditional manufacturing enterprises.

Green development model and cultivating path for characteristic small town

In the context of the new urbanization,the characteristic town,as a new hotspot to developing rapidly to explore the industry,humanities,community integration town model,a urbanization and high-tech industry development booster,by the government and developers attention.At the same time,the green development model applies to the characteristic town of industrial upgrading and transformation,guiding the future characteristic town of green economic industry development direction.This paper studies the green development model of the characteristic town,and puts forward the implementation of the green industry through the greening industry structure,promoting green consumption and optimizing the green management.

Influence of technological innovation on regional green development efficiency in China(2004-2017):An empirical analysis based on the spatial Durbin model

Under the background of green development,the function direction of technological innovation to green development efficiency,which includes economy,resources and environment,needs to be observed by demonstration.In this paper,the green development efficiency of 30 provinces(cities and districts)in China from 2004 to 2017 is measured and its intertemporal changes,regional differences of green development efficiency are analyzed by using the super efficiency SBM model,further through theoretical analysis and empirical study,the influence of technological innovation on regional green development efficiency and its impact mechanism are investigated.The influence mechanisms of the technological innovation on green development efficiency are clarified and empirically tested by spatial econometric models from the perspectives of the growth sources and quantitative analysis.The results show that during the observation period,the green development efficiency in China exhibits a U-shaped variation,but there are huge regional differences with the obvious polarization in Eastern and Midwestern regions,and that technological innovation has some effect in promoting the regional green development efficiency,but not significant enough,which are heterogeneous according to the time periods and regions.

Evaluation of Green Development Efficiency in Chongqing Municipality Based on Super-SBM and Malmquist Models

The green development of Chongqing municipality is crucial in establishing a major ecological shield in the upper reaches of the Yangtze River.By developing a Super-SBM model and using the Malmquist index to analyze and calculate the green development efficiency and its influencing factors in Chongqing from 2011 to 2021,this study reveals an accelerating trend in the overall green development efficiency in Chongqing.The significant enhancement of green development efficiency in Chongqing is primarily attributed to changes in returns to scale.Pure technical efficiency and technological advancements have a considerable potential impact on improving green development efficiency in Chongqing.Furthermore,there are discernible disparities in green development efficiency among districts and counties in Chongqing,with different factors influencing these variations.Chongqing is suggested to promote clean and efficient energy utilization,bolster the application and commercialization of scientific and technological advancements,consistently advance ecological restoration and management,and elevate the quality of green development to a higher level.

Green development of rural tourism from the perspective of sharing economy

A tourist vacation that integrates leisure and learning has become a new fashion. In line with this development trend, rural tourism with unique charm has developed well. However, the delay and asymmetry of information in the development of rural tourism lead to the coexisting contradiction between lack of a large number of resources idle and the inability of satisfying tourists’ deep experience. The sharing economy can help match the supply and demand sides precisely to improve the efficiency of use of idle resource. The sharing economy is integrated into the development of rural tourism. Through the Internet platform, it can effectively realize the maximum use of idle resources of rural tourism, to promote green sustainable development of rural tourism in the context of sharing economy.

Regional green finance development and local green innovation:Evidence from a quasi-natural experiment of green bond issuance in China

Based on provincial panel data in China from 2008 to 2019, this research takes the issuance of China's green bond as a quasi-natural experiment to explore whether China's regional green finance development promotes local green innovation by using the multi-period DID model. The results show that the regional green financial development can promote local green innovation, and the rapid growth of the green bond market driven by policy does improve environmental sound technology innovation. The promotion of regional green finance development to local green innovation is related to the funds allocation of green credit,but not to the issuance scale of green bonds, according to further analysis, because China's development pattern can lead to a lack of endogenous market power and low credit resource allocation efficiency. In addition, the issuance of green bonds can effectively promote the allocation of green credit funds, thus enhancing the local green innovation level, but it can't reduce local carbon emissions through promoting green innovation. Therefore, the government should strengthen the green finance implementation assessment mechanism, taking into account the heterogeneity of regions and enterprises, complete the green finance monitoring and disclosure system, and increase the rate of green technology conversion.

Green Roof Performance for Stormwater Management in Equatorial Urban Areas Using Storm Water Management Model (SWMM)

Many Low Impact Developments (LIDs) have recently been developed as a sustainable integrated strategy for managing the quantity and quality of stormwater and surrounding amenities. Previous research showed that green roof is one of the most promising LIDs for slowing down rainwater, controlling rainwater volume, and enhancing rainwater quality by filtering and leaching contaminants from the substrate. However, there is no guideline for green roof design in Malaysia. Hence, Investigating the viability of using green roofs to manage stormwater and address flash flood hazards is urgently necessary. This study used the Storm Water Management Model (SWMM) to evaluate the effectiveness of green roof in managing stormwater and improving rainwater quality. The selected study area is the multistory car park (MSCP) rooftop at Swinburne University of Technology Sarawak Campus. Nine green roof models with different configurations were created. Results revealed that the optimum design of a green roof is 100 mm of berm height, 150 mm of soil thickness, and 50 mm of drainage mat thickness. With the ability to reduce runoff generation by 26.73%, reduce TSS by 89.75%, TP by 93.07%, TN by 93.16%, and improved BOD by 81.33%. However, pH values dropped as low as 5.933 and became more acidic due to the substrates in green roof. These findings demonstrated that green roofs improve water quality, able to temporarily store excess rainfall and it is very promising and sustainable tool in managing stormwater.

Research on the model of regional green innovation system in China:A case study of Shandong province

Taking Shandong province,one of China’s first batch of circular economy pilot provinces,as an example,this paper summarizes some types of regional green innovation system models through the cases study and retrospective reasoning and retrospective approaches.The models mentioned above include(1)the innovation system model of green animal husbandry in coastal small towns,(2)the green innovation system model in intravenous industry park,(3)the green innovation system model in coastal hi-tech industrial development zone based on the development of eco-industrial and low-carbon industries,(4)the green innovation system model in coastal economic&technological development area based on the development of ecological arterial industry and the ecological intravenous industry through the waste recycle inside and outside the area,(5)the green innovation system model of coastal harbor economic and technological development area based on constructing tiny-medium-macro circulation,(6)the green innovation system of reformed coastal economic and technological development zone turning to the recycling marine industry innovation,and(7)the green innovation system model of high-tech industry development zone tending to recycling innovation of biological industry.This paper aims to analyze the characteristics of these models,the formation mechanism,and further to discuss their implications for greening the same type of regional innovation systems.

Sustainable-Driven Business Model Innovation in Management

The concept of sustainability has evolved to become an engine of innovation in business models in numerous sectors.Businesses are increasingly aware of the need to incorporate sustainable practices to generate value over time while tackling environmental and social issues.This paper examines how companies use sustainability as a source of innovation in developing new market ventures and profit-increasing strategies.Based on case studies and analyses,the paper demonstrates how sustainable innovation struggling in businesses is evidenced in real-time and suggests principles and difficulties put positive changes in place.

政府审计、绿色金融发展与地区环境治理

打好污染防治攻坚战,建立健全环境治理体系是实现“双碳”目标的必经之路。而政府审计与绿色金融发展对地区环境治理具有重要的作用。基于此,本文通过2010~2022年省级面板数据考察政府审计与绿色金融发展对地区环境治理的影响。研究发现,政府审计功能发挥与绿色金融的发展均可以促进地方环境有效治理,同时,绿色金融的发展在政府审计对地方环境治理的积极影响中起到了正向调节作用,且该调节作用在经济发达地区更为明显。进一步研究发现,当政府审计力度过低时,不仅无法有效促进地方环境治理水平提升,甚至可能造成地方环境治理水平的恶化。

金融发展视域下黄河流域城市绿色发展效率研究

利用2006-2021年黄河流域78个城市面板数据,采用超效率EBM模型与窗口DEA方法,对黄河流域城市绿色发展效率进行测算,并构建空间杜宾模型实证检验黄河流域城市金融发展对绿色发展效率的影响.研究发现:(1)黄河流域城市金融发展与绿色发展效率呈显著的空间正向相关关系,方向特征表现为偏西北-偏东南;(2)总体来看,金融发展的3个子系统中,金融规模显著促进绿色发展效率的提升,金融效率和金融可得性反之;(3)从空间溢出角度来看,当前黄河流域城市金融规模不利于本地区绿色发展效率的提升,但促进周边地区绿色发展效率的提高;金融效率对本地区绿色发展效率产生显著的负向影响,对邻近地区影响不明显;金融可得性显著促进了本地绿色发展效率,却抑制了邻近地区的绿色发展.

数字化转型如何影响制造业绿色发展?——基于A股上市公司的经验证据

数字化与绿色化协同发展是实现高质量发展的重要路径。文章选取2007年-2022年A股制造业上市公司数据,运用双重差分法实证检验数字化转型对制造业绿色发展的影响,并进一步分析其作用机制和异质性特征。结果发现:数字化转型能够促进制造业绿色发展,并且这一结论在多种稳健性检验下依然成立。机制检验结果表明,数字化转型通过技术进步、人力资本水平提升、内部控制水平提升三条路径来提升制造业绿色发展水平。此外,在中西部地区,数字经济发展第三梯队以及ESG表现不佳的企业,数字化转型对于绿色发展的促进作用更为显著。

Urban water system theory and its model development and application

The urban water system theory is an extension of the basin water system science on an urban scale, providing a new systematic solution for the unbalanced human-water relationship and severe water challenges, such as waterlogging, black and odorous water, and ecological degradation caused by urbanization. Most existing studies on urban water systems have focused on individual water cycle processes linked with water supply and sewage treatment plants, but mutual feedback between the water cycle and its associated material circulation and water ecology, as well as human processes, still needs further exploration. In this paper, the concept, theory, and technical methodology of the urban water system were developed based on the water cycle and basin water system science. The Urban Water System 5.0(UWS 5.0) model was developed by integrating the Time Variant Gain rainfall-runoff Model with Urban water system(TVGM_Urban) in different underlying surface conditions for analyzing the natural-social water cycle processes and their associated water environmental and ecological processes and the influence of multiscale sponge measures. Herein, five major simulation functions were realized: rainfall-runoff-nonpoint source pollutant load,water and pollutant transportations through the drainage network system, terminal regulation and purification, socioeconomic water cycle, and water system assessment and regulation. The location for the case study used in this paper was Wuhan City. The findings showed that the entire urban water system should consider the built-up area and its associated rivers and lakes as the research object and explore the integrations among the urban natural-social water cycle and river regulations inside and outside of the city as well as the effects of socioeconomic development and sponge measures on the water quantity-quality-ecology processes. The UWS 5.0 model efficiently simulated the urban rainfall-runoff process, total nitrogen(TN) and total phosphorus(TP) concentrations in water bodies, and characteristic indicators of socioeconomic development. For the rainfall-runoff simulations, the correlation coefficient and Nash-Sutcliffe efficiency(NSE) fall under the excellent and good classes, respectively. For the TN and TP concentration simulations, results exhibited good bias and the correlation coefficients exceeded 0.90 for 78.1% of the sampled sites. The simulation of 18 socioeconomic indicators provided excellent bias, correlation coefficient, and NSE values of 100%, 83.3%, and 69.4% to total indicators, respectively. Based on the well-calibrated UWS 5.0 model, the source sponge,artificial enhancement, and source reduction-path interception-terminal treatment measures were optimized, which considerably mitigated waterlogging, black and odorous water, and lake eutrophication, respectively. The mitigation performance revealed that the maximum inundated area for a once-in-10-year rainfall event was reduced by 32.6%, the removal ratio of the black and odorous water area was 65%, the comprehensive trophic state index of water bodies was reduced by 37%, and the green development level of Wuhan City in 2020 increased from 0.56 to 0.67. This study is expected to advance the intersection and development of multidisciplinary fields(e.g., urban hydrology, environmental science, and ecology) and offer an important theoretical and technical basis for solving urban complex water issues and promoting green development of cities.

吉林省绿色城市发展水平测度与提升路径

应用DSR模型从驱动力—状态—响应三个层面构建绿色城市发展综合评价体系,运用AHP—熵值法计算指标权重,选取吉林省2008—2021年的面板数据对吉林省绿色城市发展水平进行综合评价。通过与全国平均水平、东北地区其他省份及北上广地区的对比分析,找出吉林省绿色城市发展的不足之处。实证结果显示,近年来吉林省的绿色城市发展水平整体呈现上升趋势,但仍滞后于北京市、上海市、广州市等发达地区,且低于全国均值、辽宁省和黑龙江省。此外,吉林省各市州的绿色城市发展也存在显著差异。当前,吉林省仍面临绿色法规执行力偏弱、绿色技术创新能力不足、环境治理能力有限等问题。为提升绿色城市发展水平,吉林省需要进一步优化绿色城市管理机制、强化绿色技术创新与共享,提高环境治理能力。

产业技术创新如何驱动绿色经济高质量发展——基于中国省级面板数据的空间效应分析

基于2012—2022年中国30个省份面板数据,利用空间计量模型实证检验产业技术创新对绿色经济高质量发展的影响作用。结果表明,产业技术创新对绿色经济高质量发展具有显著促进作用,且存在正向溢出效应。异质性检验发现,产业技术创新对绿色经济高质量发展的影响作用存在区域异质性,呈现出“东部>中部>西部>东北部”的空间分布特征。据此,提出加大产业技术创新投入力度,建立区域技术创新合作模式,采取多元化绿色经济高质量发展驱动策略等政策建议,以期为推进绿色经济高质量发展提供有益参照。

双向FDI协同发展对绿色全要素生产率的影响——基于空间杜宾模型的实证检验

本文分析了双向FDI协同发展机理,并从能源投入与污染产出角度解释了双向FDI协同发展对绿色全要素生产率的促进作用;基于2003~2020年中国省级面板数据,借助空间杜宾模型实证检验了双向FDI协同发展对绿色全要素生产率的空间影响。研究发现:双向FDI协同发展对本地和邻地绿色全要素生产率均具有正向促进作用。异质性分析进一步发现:中部地区双向FDI协同发展对绿色全要素生产率的促进作用最显著,东部地区次之,西部地区主要表现为抑制作用;此外,资源丰裕程度会削弱双向FDI协同发展对绿色全要素生产率的正向影响。因此,应当推动双向FDI协同发展,且注重调整外资流向及外资流入和流出类型,使双向FDI协同发展更好地服务于中国可持续发展目标。

Green development and economic resilience:Evidence from Chinese resource-based cities

Resource-based cities are currently facing challenges due to ecological pollution and an unbalanced industrial structure,which hinders sustainable economic growth.The focus on green development as a strategy for economic growth and environmental protection is becoming increasingly popular.This study employs a spatial econometric model to explore the effect of green development on economic resilience in Chinese resource-based cities from 2011 to 2019,revealing a positive correlation between green development and economic resilience.For each 1 unit increase in green development,economic resilience increases by an average of 0.512 units.Furthermore,the analysis of heterogeneity reveals differences in the factors influencing various resource-based cities.In addition,provincial green policies bolster economic resilience by encouraging green development.This research aids in comprehending the balance between the economy and the environment.

绿色金融与对外贸易高质量发展——基于空间溢出视角的实证研究

绿色金融作为突破绿色贸易壁垒、实现外贸高质量发展的关键工具,其实际效果可能会受到空间因素的影响。基于中国30个省份2010—2021年的面板数据,综合评价、测度绿色金融和外贸高质量发展水平,在此基础上运用空间杜宾模型分析影响效果。研究发现:绿色金融能够促进外贸高质量发展。在对空间效应进一步分解后,发现中国绿色金融对外贸高质量发展具有显著的正向外溢性。绿色金融对外贸高质量发展的影响在本地区内存在显著正向关系,同时也会促进周边地区的外贸水平,整体溢出效应明显。

Comments on the article of “Agriculture Green Development:a model for China and the world”

The coming century will be one of grand global challenges.We will be facing global warming,a growing world population and growing economies.To meet the needs of all world citizens in a sustainable way will not be easy.One of the challenges will be to feed the growing world population,while limiting global warming.Food and water security are at risk,and we will need to invest in innovative and clean technologies to ensure that also in the future there will be enough food to feed the word.This all is reflected in the UN Sustainable Development Goals.

Basic Structures and Political Implications of a Sustainable Welfare Model

A synopsis of political welfare concepts, which are currently discussed under labels such as ＂green growth＂, ＂zero growth＂ and ＂degrowth＂, has identified fundamental shortcomings concerning the informational bases of the complex links between ecological, social and economic systems, which were taken into account in the creation of the concept. In the development of a concept for political action, a rationally acting environmental policy cannot neglect reflecting on which economic, ecological and social contexts have to be taken into account and on which normative statements its decisions should be grounded. The proposed sustainable welfare model consists of a positive impact and a normative decision model. The positive model provides a description of the ＂world＂ with which the effects of the various options for action on the environmental, social and the economic systems can be assessed. The normative model is a tool for selecting and assessing the options for action in pursuing the desired goal of sustainable welfare development. Principally the key environmental goals are prearranged to socio-economic goals. The model at hand provides the reference points for the development of a sustainable welfare concept, which can be used as a political action plan in the context of environmental policy.