The Evolution and Performance Response of Industrial Land Use Development in China’s Development Zone: The Case of Suzhou Industrial Park DOI Creative Commons

Bo Su,

Xiaoxia Shen, Qing Wang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2182 - 2182

Published: Dec. 13, 2024

Development zones are crucial spatial carriers driving economic growth and industrial upgrading, playing a key role in China’s development. After years of expansion, these face significant challenges land development performance enhancement. This paper takes Suzhou Industrial Park (SIP) as case, which is model Sino–Singaporean government cooperation. Using Landsat 4–5 TM data, socioeconomic use analysis statistical modeling were employed to examine the evolution phased patterns SIP from 1994 2022. A evaluation system encompassing benefits, innovation-driven growth, intensity, green development, social security was developed assess its responses transformations. The results reveal that experienced change intensity expansion 1.031 0.352 during 1994–2022, peak circle density expanded 3 km 15 km. mean value comprehensive score 2017–2022 42.18, with highest efficiency (40.54) lower innovation capacity (16.98). presents stage characteristics monocentric polarization, polycentricity, diffusion toward generalized zone, showing path dependence, difference different types obvious. In future, optimization redevelopment stock should be strengthened promote layout technology-intensive industries technological upgrading labor-intensive industries, well achieving sustainable through innovation-driven, enclave economy collaboration. study provides reference for high-quality zones.

Language: Английский

Spatiotemporal characteristics and driving mechanisms of land-use transitions and landscape patterns in response to ecological restoration projects: A case study of mountainous areas in Guizhou, Southwest China DOI Creative Commons

Quan Wang,

Xuepiao Bai

Ecological Informatics, Journal Year: 2024, Volume and Issue: 82, P. 102748 - 102748

Published: July 30, 2024

With the acceleration of urbanization and industrialization, land-use mode in mountainous areas has changed significantly, causing serious ecological destruction. Therefore, improving efficiency land-resource use enhancing protection are important issues. This study focuses on typical Guizhou Province to explore their significance not only for restoration but also sustainable socioeconomic development. In this study, we integrated framework interaction between transitions landscape patterns employed Spearman's rank correlation coefficient a spatial bivariate model reveal spatiotemporal heterogeneity transitions. The results showed that 1990–2020, cultivated, forest, grassland decreased by −1353.66, −749.98 − 541.72 km2 respectively, whereas water area, urban, other construction land increased 799.69, 542.62, 1230.90 km2, respectively. Moreover, cultivated converted into urban were 358.03 661.77 forest 3550.08 277.32 Different presented rapid expansion contraction characteristics, resulting an increase overall patch fragmentation, decrease uniformity, irregular patches, which enhanced diversity complexity. Finally, transition effects primarily elevation, slope, primary road facility factors. In-depth research transitional evolution its impact theoretical practical value formulating land-management policies promoting development areas.

Language: Английский

Citations

12
Spatio-Temporal Pattern of Interprovincial Migration of Rural Population in China and Its Influencing Factors DOI Creative Commons

Wenyue Zhong,

Yuanzhi Guo

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(6), P. 3029 - 3029

Published: March 11, 2025

In the era of significant migration, rural population has been a major component China’s internal migration. Utilizing data from last three censuses, this study examines evolution and network characteristics interprovincial migration in China 2000 to 2020. A panel model is employed analyze influencing factors. The findings reveal that increased rapidly, though growth rate decelerated. Provincial emigration scales have shown differentiated trend, with Heihe-Tengchong Line serving as boundary, while overall pattern exhibits “center-periphery” structure. primary destinations are eastern coastal provinces. Between 2020, demonstrated strong centralization, but agglomeration core became more diversified. Spatially, shows clear preference for proximate destinations, gradually shifted an “umbrella-shaped” “funnel-shaped” pattern. Key factors include per capita GDP, natural disasters, topographic relief, spatial distance, hukou population, internet penetration rate. To facilitate orderly support national strategies, it essential promote regional coordinated development, deepen system reforms, streamline factor flow mechanisms.

Language: Английский

Citations

0
The ripple effects of land consolidation on poverty alleviation: A case study of Longbaotang Village in Chongqing, China DOI
Fangzhou Xia, Songpei Zhang, Yahong Zhang

et al.

Journal of Rural Studies, Journal Year: 2025, Volume and Issue: 117, P. 103646 - 103646

Published: March 31, 2025

Language: Английский

Citations

0
Migrant economic integration in the ethnic minority region: A case study of Sanggendalai, Inner Mongolia, China DOI
Siyao Liu,

Ruoyang Li,

A Runa

et al.

Cities, Journal Year: 2025, Volume and Issue: 162, P. 105959 - 105959

Published: April 7, 2025

Language: Английский

Citations

0
Study on the Equity and Coupling Coordination of Ecosystem Services and Residents' Well-being in Jiangxi Province from the Perspective of Spatial Justice DOI

Songkai Luo,

Zhijun Luo

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106395 - 106395

Published: April 1, 2025

Language: Английский

Citations

0
Spatio-temporal pattern of interprovincial migration of rural population in China and its influencing factors DOI Creative Commons

Wenyue Zhong,

Yuanzhi Guo

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 3, 2024

Abstract In the era of great migration, rural population has been majors China's migration. Using data from last three censuses, this study explores evolution and network characteristics interprovincial migration in China 2000 to 2020 employs a panel model diagnose its influencing factors. The results show that grown rapidly, but growth rate slowed down. scale provincial emigration shown differentiated trend with Heihe-Tengchong Line as boundary presents "center-periphery" pattern, main destinations are eastern coastal provinces. From 2020, had strong centralization, agglomeration core tended be diversified. Spatially, destination choice clear tendency towards proximity, gradually evolved an "umbrella-shaped" pattern "funnel-shaped" pattern. factors include per capita GDP, natural disasters, topographic relief, spatial distance, hukou internet penetration rate. To guide orderly populations support implementation major national strategies, it is necessary promote regional coordinated development, deepen system reform smooth factor flow mechanisms.

Language: Английский

Citations

0
The Evolution and Performance Response of Industrial Land Use Development in China’s Development Zone: The Case of Suzhou Industrial Park DOI Creative Commons

Bo Su,

Xiaoxia Shen, Qing Wang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2182 - 2182

Published: Dec. 13, 2024

Development zones are crucial spatial carriers driving economic growth and industrial upgrading, playing a key role in China’s development. After years of expansion, these face significant challenges land development performance enhancement. This paper takes Suzhou Industrial Park (SIP) as case, which is model Sino–Singaporean government cooperation. Using Landsat 4–5 TM data, socioeconomic use analysis statistical modeling were employed to examine the evolution phased patterns SIP from 1994 2022. A evaluation system encompassing benefits, innovation-driven growth, intensity, green development, social security was developed assess its responses transformations. The results reveal that experienced change intensity expansion 1.031 0.352 during 1994–2022, peak circle density expanded 3 km 15 km. mean value comprehensive score 2017–2022 42.18, with highest efficiency (40.54) lower innovation capacity (16.98). presents stage characteristics monocentric polarization, polycentricity, diffusion toward generalized zone, showing path dependence, difference different types obvious. In future, optimization redevelopment stock should be strengthened promote layout technology-intensive industries technological upgrading labor-intensive industries, well achieving sustainable through innovation-driven, enclave economy collaboration. study provides reference for high-quality zones.

Language: Английский

Citations

0