Administrative restructuring and land-use intensity—A spatial explicit perspective

• Autores: Chen Zeng, Anlu Zhang, Lian Liu, Yu Liu
• Localización: Land use policy: The International Journal Covering All Aspects of Land Use, ISSN 0264-8377, ISSN-e 1873-5754, Nº. 67, 2017, págs. 190-199
• Idioma: inglés
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• Dialnet Métricas: 1 Cita
• Resumen

  • Background The rapid industrialization, urbanization, and population explosion have ushered forth the era focusing on the efficient use of land resources to achieve sustainable development. “Intensive Land-Use Plan” was therefore proposed in the context of shifting the focus from “incremental planning” to “inventory planning” in rapidly developing countries, particularly China.

    Methods We develop our framework based on the hypothesis that administrative status has a spatial effect on intensive land use and explore this effect dynamically. In the first step, we summarized the different degrees of land-use intensity based on different administrative status (i.e., urban district, suburban district, county, county-level city, and district) and make categorizations. We also devised spatial models in multiple strategies embedded with different spatial weight matrices to the underlying driving forces using Wuhan agglomeration as the case.

    Results Results show that 1) urbanization, industrial structure, and retail sales of consumer goods are highly correlated with land-use intensity change, with all factors being positive; 2) the influences of different administrative status exist and strengthened in the past decade; the spatial interaction is greater when urban district is adjacent to district in the prefecture city in 2005 and 2015. In turn, this finding affirms the phenomenon that the administrative power has gradually strengthened, and the city centers are the most vibrant areas to compete for higher land-use efficiency.

    Recommendation The emergence of diversified types of counties, such as urban districts and county-level cities, has further pressed the necessity to embed administrative influence in spatial regression. These findings provide theoretical basis for understanding the administrative dimension in new urbanization and have important policy implications on administrative adjustment and intensive land use.