Pub Date : 2024-09-01DOI: 10.1016/j.cjpre.2024.09.008
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 combining 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 Coupling Coordination Degree (CCD) analysis, the study further summarizes the systemic patterns and future directions 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 influencing 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 characterize key issues based on actual urban development needs.
{"title":"Identifying influencing factors and characterizing key issues in urban sustainable development capacity through machine learning","authors":"","doi":"10.1016/j.cjpre.2024.09.008","DOIUrl":"10.1016/j.cjpre.2024.09.008","url":null,"abstract":"<div><div>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 combining 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 Coupling Coordination Degree (CCD) analysis, the study further summarizes the systemic patterns and future directions 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 influencing 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 characterize key issues based on actual urban development needs.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01DOI: 10.1016/j.cjpre.2024.09.004
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, exploring 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 Chinese provinces from 2000 to 2019. Furthermore, heterogeneous tests are used to explore how climate characteristics and economic conditions affect the efficiency of BEESs. The results indicate that BEESs positively influence 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 pronounced in the southern and western provinces. This study provides valuable scientific evidence for governments to enhance BEESs implementation.
{"title":"Effect of building energy efficiency standards on carbon emission efficiency in commercial buildings","authors":"","doi":"10.1016/j.cjpre.2024.09.004","DOIUrl":"10.1016/j.cjpre.2024.09.004","url":null,"abstract":"<div><div>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, exploring 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 Chinese provinces from 2000 to 2019. Furthermore, heterogeneous tests are used to explore how climate characteristics and economic conditions affect the efficiency of BEESs. The results indicate that BEESs positively influence 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 pronounced in the southern and western provinces. This study provides valuable scientific evidence for governments to enhance BEESs implementation.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01DOI: 10.1016/j.cjpre.2024.09.010
In China, the Innovation Demonstration Zone for the National Sustainable Development Agenda is a key initiative 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 establishment 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 sustainable development is crucial. Therefore, this research aimed to assist in comprehensively assessing developmental 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 analytical 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 Zaozhuang’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 rural 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 coordination will require additional time for development.
{"title":"Assessment of rural sustainable development and analysis and prediction of obstacles and coupled coordinated development: A case study of Zaozhuang City","authors":"","doi":"10.1016/j.cjpre.2024.09.010","DOIUrl":"10.1016/j.cjpre.2024.09.010","url":null,"abstract":"<div><div>In China, the Innovation Demonstration Zone for the National Sustainable Development Agenda is a key initiative 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 establishment 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 sustainable development is crucial. Therefore, this research aimed to assist in comprehensively assessing developmental 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 analytical 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 Zaozhuang’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 rural 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 coordination will require additional time for development.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01DOI: 10.1016/j.cjpre.2024.09.002
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 between climate policy and green innovation in the corporate financialization context. Using Chinese-listed company 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. Additionally, 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 corporate financialization. Our research provides valuable insights for policymakers and stakeholders seeking to strengthen climate policies and encourages green innovation in different types of businesses.
{"title":"Moderating effect of corporate financialization on the impact of climate policy on corporate green innovation: Evidence from China","authors":"","doi":"10.1016/j.cjpre.2024.09.002","DOIUrl":"10.1016/j.cjpre.2024.09.002","url":null,"abstract":"<div><div>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 between climate policy and green innovation in the corporate financialization context. Using Chinese-listed company 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. Additionally, 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 corporate financialization. Our research provides valuable insights for policymakers and stakeholders seeking to strengthen climate policies and encourages green innovation in different types of businesses.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01DOI: 10.1016/j.cjpre.2024.09.013
Employment is the greatest livelihood. Whether the impact of industrial robotics technology materialized in machines on employment in the digital age is an “icing on the cake” or “adding fuel to the fire” needs further study. This study aims to analyze the impact of the installation and application of industrial robots on labor demand in the context of the Chinese economy. First, from the theoretical logic and the economic development law, this study gives the prior judgment and research hypothesis that industrial intelligence will increase jobs. Then, based on the panel data of 269 cities in China from 2006 to 2021, we use the two-way fixed effect model, dynamic threshold model, and two-stage intermediary effect model. The objective is to investigate the impact of industrial intelligence on enterprise labor demand and its path mechanism. Results show that the overall effect of industrial intelligence on the labor force with the installation density index of industrial robots as the proxy variable is the “creation effect”. In other words, advanced digital technology has created additional jobs, and the overall supply of employment in the labor market has increased. The conclusion is still valid after the endogeneity identification and robustness test. In addition, the positive effect has a nonlinear effect on the network scale. When the installation density of industrial robots exceeds a particular threshold value, the division of labor continues to deepen under the combined action of the production efficiency and compensation effects, which will cause enterprises to increase labor demand further. Further research showed that industrial intelligence can increase employment by promoting synergistic agglomeration and improving labor price distortions. This study concludes that in the digital China era, the introduction and installation of industrial robots by enterprises can affect the optimal allocation of the labor market. This phenomenon has essential experience and reference significance for guiding industrial digitalization and intelligent transformation and promoting the high-quality development of people’s livelihood.
{"title":"Technological anxiety: Analysis of the impact of industrial intelligence on employment in China","authors":"","doi":"10.1016/j.cjpre.2024.09.013","DOIUrl":"10.1016/j.cjpre.2024.09.013","url":null,"abstract":"<div><div>Employment is the greatest livelihood. Whether the impact of industrial robotics technology materialized in machines on employment in the digital age is an “icing on the cake” or “adding fuel to the fire” needs further study. This study aims to analyze the impact of the installation and application of industrial robots on labor demand in the context of the Chinese economy. First, from the theoretical logic and the economic development law, this study gives the prior judgment and research hypothesis that industrial intelligence will increase jobs. Then, based on the panel data of 269 cities in China from 2006 to 2021, we use the two-way fixed effect model, dynamic threshold model, and two-stage intermediary effect model. The objective is to investigate the impact of industrial intelligence on enterprise labor demand and its path mechanism. Results show that the overall effect of industrial intelligence on the labor force with the installation density index of industrial robots as the proxy variable is the “creation effect”. In other words, advanced digital technology has created additional jobs, and the overall supply of employment in the labor market has increased. The conclusion is still valid after the endogeneity identification and robustness test. In addition, the positive effect has a nonlinear effect on the network scale. When the installation density of industrial robots exceeds a particular threshold value, the division of labor continues to deepen under the combined action of the production efficiency and compensation effects, which will cause enterprises to increase labor demand further. Further research showed that industrial intelligence can increase employment by promoting synergistic agglomeration and improving labor price distortions. This study concludes that in the digital China era, the introduction and installation of industrial robots by enterprises can affect the optimal allocation of the labor market. This phenomenon has essential experience and reference significance for guiding industrial digitalization and intelligent transformation and promoting the high-quality development of people’s livelihood.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01DOI: 10.1016/j.cjpre.2024.09.006
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 urbanization, 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 impact 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 detriment of urbanization in larger cities, which have more than 3 million residents, while it did not have a significant impact on Type II large cities, which have fewer than 3 million residents.
{"title":"Impact of air pollution on urbanization: evidence at China’s city level","authors":"","doi":"10.1016/j.cjpre.2024.09.006","DOIUrl":"10.1016/j.cjpre.2024.09.006","url":null,"abstract":"<div><div>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 urbanization, 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 impact 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 detriment of urbanization in larger cities, which have more than 3 million residents, while it did not have a significant impact on Type II large cities, which have fewer than 3 million residents.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01DOI: 10.1016/j.cjpre.2024.09.012
Sustainable growth is a prerequisite for high-quality development, and inclusive green growth is regarded as an important way to realize sustainable growth. This paper constructs a tourism inclusive green growth index (IGGI) system based on the 2018 Asian Development Bank IGGI. Using Shandong Province from 2017 to 2019, the entropy weight method is utilized to explore the degree of coupling and coordination among the subsystems of tourism inclusive green growth. The study shows that: (1) the tourism IGGI continues to grow; (2) in the tourism inclusive green growth system, the social equity subsystem shows a trend of steady improvement;and (3) in the system, there is a slight discordance between the economic growth subsystem and the environmental sustainability subsystem. The study aims to provide the scientific basis for the high-quality development of tourism and theoretical support for the field of tourism and environmental sustainability.
{"title":"Coupling and coordination relationship of tourism inclusive green growth system: Evidence from Shandong Province","authors":"","doi":"10.1016/j.cjpre.2024.09.012","DOIUrl":"10.1016/j.cjpre.2024.09.012","url":null,"abstract":"<div><div>Sustainable growth is a prerequisite for high-quality development, and inclusive green growth is regarded as an important way to realize sustainable growth. This paper constructs a tourism inclusive green growth index (IGGI) system based on the 2018 Asian Development Bank IGGI. Using Shandong Province from 2017 to 2019, the entropy weight method is utilized to explore the degree of coupling and coordination among the subsystems of tourism inclusive green growth. The study shows that: (1) the tourism IGGI continues to grow; (2) in the tourism inclusive green growth system, the social equity subsystem shows a trend of steady improvement;and (3) in the system, there is a slight discordance between the economic growth subsystem and the environmental sustainability subsystem. The study aims to provide the scientific basis for the high-quality development of tourism and theoretical support for the field of tourism and environmental sustainability.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01DOI: 10.1016/j.cjpre.2024.09.007
Given the rapid development of China’s new urbanization, cities with different locations and varying functional 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, successful 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. Therefore, 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 paper uses standardization as the theoretical support and technical basis. This approach can help clarify the sustainable 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 international standardization institutions reveals that the practices of Chinese national standards should be fully absorbed and integrated to guide the evaluation of smart, resilient, and low-carbon cities. To this end, an indicator library of city sustainable development is proposed to provide standard evaluation technology methods. Finally, 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 integrated management for sustainable development in cities.
{"title":"Constructing a standard system of city sustainable development assessment technology based on the SDGs","authors":"","doi":"10.1016/j.cjpre.2024.09.007","DOIUrl":"10.1016/j.cjpre.2024.09.007","url":null,"abstract":"<div><div>Given the rapid development of China’s new urbanization, cities with different locations and varying functional 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, successful 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. Therefore, 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 paper uses standardization as the theoretical support and technical basis. This approach can help clarify the sustainable 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 international standardization institutions reveals that the practices of Chinese national standards should be fully absorbed and integrated to guide the evaluation of smart, resilient, and low-carbon cities. To this end, an indicator library of city sustainable development is proposed to provide standard evaluation technology methods. Finally, 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 integrated management for sustainable development in cities.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01DOI: 10.1016/j.cjpre.2024.09.009
In community planning, due to the lack of evidence regarding the selection of media tools, this study examines 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 concept 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 described. 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.
{"title":"Selection of media tools for community planning: A study from the perspective of communicative planning","authors":"","doi":"10.1016/j.cjpre.2024.09.009","DOIUrl":"10.1016/j.cjpre.2024.09.009","url":null,"abstract":"<div><div>In community planning, due to the lack of evidence regarding the selection of media tools, this study examines 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 concept 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 described. 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.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01DOI: 10.1016/j.cjpre.2024.09.011
Worldwide interest has increasingly focused on the sustainable utilization of landscape as a resource in urban areas, emphasizing its ecological, cultural and social significance. This study examines Guilin City, China, as a representative case study due to its rich landscape resources and status as a national innovation demonstration zone for implementing the 2030 Agenda for Sustainable Development. This study uses bibliometric visualization tools like CiteSpace and VOSviewer to analyze research trends from 1980 to 2021 in the Chinese Academic Journal Network Publishing Database (CNKI). The results show increasing academic interest over three stages: initiation (1982–1997), exploration (1998–2004), and diversified development (2005–2021). Contributions are predominantly from local academic and tourism sectors, indicating a strong regional influence; however, relatively weak interinstitutional collaboration occurs, suggesting potential for more integrated research efforts. Primary research is also concentrated within economic disciplines, particularly tourism-related ones. The evolution of research frontiers reveals three main paths: urban development strategies, industrial economic theories and empirical validation, and ecosystem analysis and evaluation. A multidisciplinary approach and stronger collaborative efforts are crucial to enhance research on ecological values and empirical models while supporting evidence-based urban development strategies in Guilin City and comparable cities globally.
{"title":"Knowledge mapping of research on sustainable utilization of landscape resources: a case study of Guilin National Innovation Demonstration Zone for sustainable development in China","authors":"","doi":"10.1016/j.cjpre.2024.09.011","DOIUrl":"10.1016/j.cjpre.2024.09.011","url":null,"abstract":"<div><div>Worldwide interest has increasingly focused on the sustainable utilization of landscape as a resource in urban areas, emphasizing its ecological, cultural and social significance. This study examines Guilin City, China, as a representative case study due to its rich landscape resources and status as a national innovation demonstration zone for implementing the 2030 Agenda for Sustainable Development. This study uses bibliometric visualization tools like CiteSpace and VOSviewer to analyze research trends from 1980 to 2021 in the Chinese Academic Journal Network Publishing Database (CNKI). The results show increasing academic interest over three stages: initiation (1982–1997), exploration (1998–2004), and diversified development (2005–2021). Contributions are predominantly from local academic and tourism sectors, indicating a strong regional influence; however, relatively weak interinstitutional collaboration occurs, suggesting potential for more integrated research efforts. Primary research is also concentrated within economic disciplines, particularly tourism-related ones. The evolution of research frontiers reveals three main paths: urban development strategies, industrial economic theories and empirical validation, and ecosystem analysis and evaluation. A multidisciplinary approach and stronger collaborative efforts are crucial to enhance research on ecological values and empirical models while supporting evidence-based urban development strategies in Guilin City and comparable cities globally.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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