Research into the Spatiotemporal Characteristics and Influencing Factors of Technological Innovation in China’s Natural Gas Industry from the Perspective of Energy Transition DOI Open Access
Shuguang Liu, Jiayi Wang, Long Yin

и другие.

Sustainability, Год журнала: 2023, Номер 15(9), С. 7143 - 7143

Опубликована: Апрель 24, 2023

Promoting technological innovation in the natural gas industry is a feasible means of achieving energy transition. Guided by geographic theory, this article carries out research on scale, technical fields, capabilities, and influencing factors 312 Chinese prefecture-level cities, making use cusp catastrophe model, center gravity standard deviational ellipse, exploratory spatial data analysis, geographically temporally weighted regression (GTWR). The shows following: (1) Technological China’s has continuously expanded terms with number participating cities increasing, showing spatially uneven pattern local agglomeration national diffusion. (2) There have been significant achievements equipment engineering, but utilization lagging comparison, drilling, new materials, environmental protection, pipe network digital services becoming frontier collaborative thermoelectric, metalworking, automotive, other related industries having initially established. (3) unevenness capabilities obvious, core advantages Beijing–Tianjin being strengthened Sichuan–Chongqing, Yangtze River Delta, Pearl Shandong Peninsula, Liaodong Peninsula forming high-level capability agglomerations. (4) spatiotemporal result multiple factors, northeastern mainly affected demands, northwestern highly sensitive to capital strength, eastern mostly relying urban development, North China bolstered strength talent. (5) It necessary carry further multi-agent multi-scale future its relationship transition explore interactivity factors. This study may provide strategies for from perspective

Язык: Английский

A novel framework to evaluate urban-rural coordinated development: A case study in Shanxi Province, China DOI
Menghang Liu, Qiang Li,

Yu Bai

и другие.

Habitat International, Год журнала: 2024, Номер 144, С. 103013 - 103013

Опубликована: Янв. 24, 2024

Язык: Английский

Процитировано

20

Investigating the critical influencing factors of rural public services resilience in China: A grey relational analysis approach DOI
Hui Yan, Haomiao Li, Lin Zhang

и другие.

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Янв. 9, 2025

Язык: Английский

Процитировано

1

Spatial Sifferentiation and Differentiated Development Paths of Traditional Villages in Yunnan Province DOI Creative Commons
Jun Zhang,

Runni Zhang,

Qilun Li

и другие.

Land, Год журнала: 2023, Номер 12(9), С. 1663 - 1663

Опубликована: Авг. 25, 2023

Enhancing spatial quality is an important aspect of future studies on the development traditional villages. From perspective vitality, degree revitalization and utilization villages can be visually reflected thus, corresponding strategies provided. However, existing have paid little attention to relationship between vitality development. Therefore, this study evaluates in Yunnan Province based Sina Weibo sign-in data, analyzes its with distribution characteristics, finally, proposes different types The results show that first, data well reflect Second, there a significant difference we summarize four difference. Overall, from villages, provides differentiated ideas for protection, enhancement, one hand, other it also feasible references rural planning Yunnan.

Язык: Английский

Процитировано

14

Spatio-Temporal Analysis and Influencing Factors of Rural Resilience from the Perspective of Sustainable Rural Development DOI Open Access
Mei Yang,

Mengyun Jiao,

Jinyu Zhang

и другие.

International Journal of Environmental Research and Public Health, Год журнала: 2022, Номер 19(19), С. 12294 - 12294

Опубликована: Сен. 27, 2022

Rural resilience is not only a comprehensive reflection of “thriving businesses, pleasant living environments, social etiquette and civility, effective governance, prosperity”. It also the unity in industry, ecology, culture, organization livelihood. This paper uses entropy weight-TOPSIS method to measure rural level 31 regions China analyzes configuration influencing factors with Fuzzy-set qualitative comparative analysis (fsQCA). The results study are as follows: (1) showed stable increase from 2010 2019, but overall was low, large regional disparities, showing significant positive spatial correlation. (2) In high-level explanatory path, labor-driven, cultural-driven market–labor–technology linkage-driven play core role, while administrative force playing role. explanation path non-high resilience, market–labor absent, administrative–market absent cultural hinder improvement resilience. summary, we put forward following suggestions. Policy renovation support should be strengthened. Adaption local conditions considered order achieve sustainable differentiated development. Development coordinated balanced different so an areas.

Язык: Английский

Процитировано

20

Spatial-temporal evolution and driving factors of rural resilience in the urban agglomerations in the middle reaches of the Yangtze River, China DOI
Xu Wang, Wenjun Peng,

Huaping Xiong

и другие.

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(17), С. 25076 - 25095

Опубликована: Март 11, 2024

Язык: Английский

Процитировано

5

A systematic framework for rural resilience assessment in the rural Gansu Province, China DOI
Tianmin Tao, Libang Ma,

Ye Liu

и другие.

Environmental Impact Assessment Review, Год журнала: 2024, Номер 110, С. 107715 - 107715

Опубликована: Ноя. 10, 2024

Язык: Английский

Процитировано

5

Study on spatial divergence of rural resilience and optimal governance paths in oasis: the case of Yongchang County in the Hexi Corridor of China DOI
Libang Ma, Tianmin Tao, Ziyan Li

и другие.

Environment Development and Sustainability, Год журнала: 2023, Номер 26(2), С. 4603 - 4627

Опубликована: Янв. 12, 2023

Язык: Английский

Процитировано

10

Comprehensive evaluation of newly cultivated land sustainable utilization at project scale: A case study in Guangdong, China DOI
Chang Guo, Xiaobin Jin, Xuhong Yang

и другие.

Journal of Geographical Sciences, Год журнала: 2024, Номер 34(4), С. 745 - 762

Опубликована: Апрель 1, 2024

Язык: Английский

Процитировано

4

Rural Resilience Evaluation and Influencing Factor Analysis Based on Geographical Detector Method and Multiscale Geographically Weighted Regression DOI Creative Commons
Huimin Wang,

Yihuan Xu,

Xiaojian Wei

и другие.

Land, Год журнала: 2023, Номер 12(7), С. 1270 - 1270

Опубликована: Июнь 21, 2023

Resilience evaluation is an important foundation for sustainable rural development. Taking the 57 counties in Guangdong province as examples, this study used CRITIC method to construct a comprehensive index system resilience and identified main influencing factors their spatial heterogeneity on basis of geographical detector multiscale geographically weighted regression. The results showed that: (1) Most had medium or higher values resilience, high-value areas were mainly located Pearl River Delta region. (2) each dimensional measure exhibited significant positive correlations. (3) geographic that per capita gross regional product number industries above scale factor enhanced effect after interaction. (4) demonstrated heterogeneity. Specifically, proportion secondary tertiary negative effects some eastern northern other counties.

Язык: Английский

Процитировано

9

Unveiling the Dynamics of Rural Revitalization: From Disorder to Harmony in China’s Production-Life-Ecology Space DOI Creative Commons
Ningning Liu, Qikang Zhong, Kai Zhu

и другие.

Land, Год журнала: 2024, Номер 13(5), С. 604 - 604

Опубликована: Апрель 30, 2024

This study utilizes provincial panel data from China spanning the period 2011 to 2020 assess coupled and coordinated development of spatial functions related production, life, ecology (PLE) in rural areas. The assessment is based on quantifying function indices for PLE China’s regions. Additionally, it examines characteristics their temporal evolution, correlation, driving factors. findings indicate a modest upward trend coupling coordination levels these across China, although significant proportion provinces still exhibit near-disordered decline. Exploratory analysis reveals geographical disparity, with higher observed eastern regions, lower west, noticeable clustering. By employing Durbin model investigate determinants degrees, we discovered that factors such as regional economic development, urbanization, urban–rural income gap, financial support agriculture, science technology investment level, agricultural structural adjustments significantly influence functions. Furthermore, using geographic detector model, identifies agriculture key drivers influencing These provide valuable reference points policies strategies management.

Язык: Английский

Процитировано

3