The Spatiotemporal Measurement of Coordinated Development of Resource-Environment-Economy Based on Empirical Analysis from China’s 30 Provinces DOI Open Access
Hongqiang Wang,

Xiao-Chang Lu,

Qiujing Guo

и другие.

Sustainability, Год журнала: 2023, Номер 15(8), С. 6995 - 6995

Опубликована: Апрель 21, 2023

The coordinated development of resource–environment–economy is the strategic choice to realize sustainable development. To explore historical pattern resource–environment–economy, showing logic spatiotemporal evolution system in China, this paper conducts a measurement study. Based on actual data 30 provinces China from 2005 2019, constructs an evaluation index for and establishes coupling coordination degree (CCD) model spatial autocorrelation analysis model. results show that mean value coupled three systems (resource–environment–economy) gradually increased stage near dissonance (0.479) good (0.853) 2019. global Moran’s I was 0.349, indicating there certain aggregation at province level. Coastal areas have higher degree, while inland lower degree. In correlation analysis, significantly positively correlated. Low–low clusters are found mainly Northwest (e.g., Xinjiang, Qinghai). Furthermore, findings provide some targeted international recommendations. Relevant policies should encourage promote green transformation industrial structure.

Язык: Английский

Rural revitalization of China: A new framework, measurement and forecast DOI Open Access
Yuqing Geng, Liwen Liu, Lingyan Chen

и другие.

Socio-Economic Planning Sciences, Год журнала: 2023, Номер 89, С. 101696 - 101696

Опубликована: Июль 27, 2023

Язык: Английский

Процитировано

60

Digitalization, crowdfunding, eco-innovation and financial development for sustainability transitions and sustainable competitiveness: Insights from complexity theory DOI Creative Commons
Amal Dabbous, Karine Aoun Barakat, Abbas Tarhini

и другие.

Journal of Innovation & Knowledge, Год журнала: 2024, Номер 9(1), С. 100460 - 100460

Опубликована: Янв. 1, 2024

The introduction of digitalization and the promotion eco-innovation, move towards financial development, appearance alternative practices such as crowdfunding well adoption freer economic systems represent plausible enablers sustainable transition potentially help to increase nations' competitiveness. However, knowledge is scarce about their contribution. present study fills gap in sustainability literature by proposing a complexity theory lens dataset spanning four years from 2015 2018 for 18 countries which captures possible configurations chosen factors that allow achieve two outcomes: transitions findings show three each outcome. High levels digitalization, crowdfunding, development are all showing important contribution competitiveness transitions. eco-innovation freedom out six solutions, while they negation (low levels) remaining solutions. Overall results offer insights policymakers, individuals, businesses on how use these understand complex interactions generating high

Язык: Английский

Процитировано

18

Exploring the unique characteristics of environmental sustainability in China: Navigating future challenges DOI Creative Commons
Md. Ziaul Islam, Shuwei Wang

Chinese Journal of Population Resources and Environment, Год журнала: 2023, Номер 21(1), С. 37 - 42

Опубликована: Март 1, 2023

Язык: Английский

Процитировано

36

Has the ecological civilization pilot promoted the transformation of industrial structure in China? DOI Creative Commons
Jin Hu, Yuntao Wu, Muhammad Irfan

и другие.

Ecological Indicators, Год журнала: 2023, Номер 155, С. 111053 - 111053

Опубликована: Окт. 10, 2023

Industrial structure transformation is important for realizing Chinese modernization, and ecological civilization necessary building a beautiful China. How to use the construction of realize industrial major issue economic development China other developing countries. The difference-in-differences method was used evaluate impact pilot policy (ECPP) on transformation. three-stage mediating effect explore mechanism channel. Through heterogeneity discussion spatial spillover analysis method, effects ECPP were further understood. study reveals following: Overall, has promoted structure. Specifically, significant positive rationalization but negative advancement. Several robustness checks support this finding. Second, channels are primarily achieved through environmental investment, green finance infusion, congestion alleviation. Third, good central-local relationships can enhance trend toward rationalization, while unfavorable may pose hindrances In addition, varies depending population density pollution. Lastly, promoting rationalization. results above provide additional information about ECPPs transformation, both negative, help strategy system be adjusted promptly.

Язык: Английский

Процитировано

34

An innovative decision making method for air quality monitoring based on big data-assisted artificial intelligence technique DOI Creative Commons

Leiming Fu,

Junlong Li, Yifei Chen

и другие.

Journal of Innovation & Knowledge, Год журнала: 2023, Номер 8(2), С. 100294 - 100294

Опубликована: Март 1, 2023

This work dissects the application of big data and artificial intelligence (AI) technology in environmental protection monitoring. The principle collection is analysed based on atmospheric science AI technology. In addition, a combined model air quality forecasting machine learning proposed to resolve real monitoring challenges protection, namely, improved complete ensemble empirical mode decomposition with adaptive noise-whale optimization algorithm-extreme (ICEEMDAN-WOA-ELM). On this basis, deep introduced establish learning-based time-space-type-meteorology (TSTM) predict quality. Finally, verified by experiments. results demonstrate that ICEEMDAN-WOA-ELM significantly outperforms single forecasting. five evaluation index values are 14.187, 17.235, 0.140, 0.067, 0.946, which higher than those other models. single-step accuracy average TSTM heavily polluted weather forecast almost reached full marks, maximum 1.00. performance also decreases growth step size but remains above 0.86. It can be seen no longer meet requirements has advantages effective for protection.

Язык: Английский

Процитировано

30

Analysis of the spatio-temporal changes and driving factors of the marine economic–ecological–social coupling coordination: A case study of 11 coastal regions in China DOI Creative Commons
Jingwei Cheng, Xuechang Zhang, Qiang Gao

и другие.

Ecological Indicators, Год журнала: 2023, Номер 153, С. 110392 - 110392

Опубликована: Май 26, 2023

For the sustainable development of ocean, examining coupled and coordinated relationships marine economic-ecological-social system (MEESS) is crucial. In this study, data from 11 coastal regions China 2006 to 2020 are utilized quantify analyze MEESS coupling coordination driving factors using entropy method, mean squared deviation weighting coefficient variation improved degree (CCD), GM (1,1) (grey model), generalized method moments (GMM) models. The findings show that (1) comprehensive level in study area indicates a steady upward trend. economic maintains rise, ecological starts at high grows low rate, social rate. (2) higher areas with systems. (3) As 2020, six were moderate stage. Except for Shanghai, (CCD) other shows fluctuating (4) From 2021 2026, overall will enter intermediate Shandong take lead good (5) terms drivers, port activity, financial industry development, government support significantly affect CCD. demonstrate applicability effectiveness CCD model evaluating interactions multiple ocean subsystems. This demonstration can help policymakers tailor planning provide new perspective on development.

Язык: Английский

Процитировано

23

Can rural areas in China be revitalized by digitization? A dual perspective on digital infrastructure and digital finance DOI

Jiayin Bi

Finance research letters, Год журнала: 2024, Номер 67, С. 105753 - 105753

Опубликована: Июнь 26, 2024

Язык: Английский

Процитировано

15

New Mechanisms for Increasing Agricultural Total Factor Productivity: Analysis of the Regional Effects of the Digital Economy DOI
Yuanhong Hu,

Jing Liu,

Shuyu Zhang

и другие.

Economic Analysis and Policy, Год журнала: 2024, Номер 83, С. 766 - 785

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

12

Digital finance and agricultural green total factor productivity: the mediating role of digital village development DOI

Yankun Jiang,

Guanghe Han,

Dandan Yu

и другие.

Finance research letters, Год журнала: 2024, Номер 67, С. 105948 - 105948

Опубликована: Авг. 6, 2024

Язык: Английский

Процитировано

10

Sustainable utilization of cultivated land resources based on "element coupling-function synergy" analytical framework: A case study of Guangdong, China DOI Creative Commons
Hao Yang,

Runyan Zou,

Yueming Hu

и другие.

Land Use Policy, Год журнала: 2024, Номер 146, С. 107316 - 107316

Опубликована: Авг. 17, 2024

Язык: Английский

Процитировано

8