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

Ecological-economic coordination in the Yellow River basin: spatial and temporal evolution and driving mechanisms DOI
Daozheng Li, Diling Liang,

Tongning Li

и другие.

Environment Development and Sustainability, Год журнала: 2022, Номер 26(2), С. 3819 - 3848

Опубликована: Дек. 30, 2022

Язык: Английский

Процитировано

14

Research on the farmers’ agricultural digital service use behavior under the rural revitalization strategy—Based on the extended technology acceptance model DOI Creative Commons

Bo Wang,

Hao Dong

Frontiers in Environmental Science, Год журнала: 2023, Номер 11

Опубликована: Май 9, 2023

The effective use of agricultural digital services can promote the transformation production methods and actively development economy. However, in process operation, farmers are difficult to still at a disadvantage information. rapid promotion provide opportunities for cross “digital divide” obtain “data dividend.” Based on extended technology acceptance model, this paper uses partial least squares structural equation model empirically analyze key influencing factors farmers’ service behavior. research shows that behavior is mainly affected by two factors: adoption intention facility conditions. Among them, has more significant impact At same time, performance expectation, social influence data quality, which an important pre-factor affecting

Язык: Английский

Процитировано

7

Comprehensive evaluation of eco-environmental resources in the main grain-producing areas of China DOI
Kun Cheng,

Kangxu He,

Nan Sun

и другие.

Ecological Informatics, Год журнала: 2023, Номер 75, С. 102059 - 102059

Опубликована: Март 8, 2023

Язык: Английский

Процитировано

6

Introducing Antifragility Analysis Algorithm for Assessing Digitalization Strategies of the Agricultural Economy in the Small Farming Section DOI
Xiaohan Li, Yuwei Zhang, Ali Sorourkhah

и другие.

Journal of the Knowledge Economy, Год журнала: 2023, Номер 15(3), С. 12191 - 12215

Опубликована: Ноя. 7, 2023

Язык: Английский

Процитировано

6

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

Процитировано

4