Land use change and economic growth in urban China: A structural equation analysis

He, Canfei; Huang, Zhiji; Wang, Rui

doi:10.1177/0042098013513649

Cited by 165 publications

(109 citation statements)

References 33 publications

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“…Regression analyses have been widely used to analyze complex issues [48][49][50]. Two panel data regression models were used to quantitatively analyze the socio-economic factors that drive CLSA and NCD.…”

Section: Two-way Fixed Effect Modelmentioning

confidence: 99%

Spatiotemporal Variation of China’s State-Owned Construction Land Supply from 2003 to 2014

Min

Xin

et al. 2016

Sustainability

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State-owned construction land is the dominant legal land source for construction in China and its supply influences urban expansion, house prices, and economic development, among other factors. Surprisingly, limited attention has been directly devoted to the spatiotemporal variation in land supply or the driving factors. This paper applied a centroid model and hotspot analysis, and created a newly increased construction land dependence-degree index (NCD) to present the spatiotemporal variations of China's construction land supply magnitude and pattern from 2003 to 2014, using land supply data from 339 cities. A two-way fixed effect model was introduced to reveal the influence of the socio-economic driving factors. The results showed that China's state-owned construction land supply area (CLSA) and newly increased construction land supply area (NCSA) both increased during the period from 2003 to 2014, the geographic centroid of CLSA and NCSA moved northwest. NCD showed an overall increasing trend, and hotspots with high NCD migrated from the east region to the west region and shifted from an "east hot and west cold" pattern in 2003 to an "east cold and west hot" pattern in 2014. The gross domestic product (GDP) has a U-shape effect on CLSA and NCD. The population, average annual wage of workers, and investment in fixed assets (fiv) have positive effects on CLSA, and fiv also has a positive effect on NCD. The increasing ratio of tertiary industry added value to secondary industry added value reduces CLSA and NCD, and the effects of state policies vary from year to year. Different land supply policies should be implemented for cities in different development stages.

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Section: Two-way Fixed Effect Modelmentioning

confidence: 99%

Spatiotemporal Variation of China’s State-Owned Construction Land Supply from 2003 to 2014

Min

Xin

et al. 2016

Sustainability

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“…Critics have warned that urban expansion has created a Chinese version of urban sprawl and the loss of natural ecosystems [31]. Indeed, a large proportion of land made up of natural ecosystems has been converted to artificial uses to meet the demands of housing, industry and commerce around the cities of China [32], particularly in economically-developed coastal urban agglomerations [33,34].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Land Cover Change on Ecosystem Service Values in Urban Agglomerations along the Coast of the Bohai Rim, China

et al. 2015

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Local ecosystem services have been significantly affected by land cover changes associated with rapid urbanization in China. Based on the 2000 and 2010 land cover data products with 30-m resolution, we examined the similarities and differences in the impacts of land cover change on ecosystem service values (ESV) at three coastal urban agglomerations in China between 2000 and 2010 (Liaodong Peninsula (LP), Jing-Jin-Ji (JJJ) and Shandong Peninsula (SP)). A rapid evaluation method developed by Xie et al. (2008) was used to derive an ecosystem service value coefficient. The most significant change was an increase in artificial surfaces, due to urban expansion, which mainly occurred on cultivated land. The greatest loss in total ESV (2273 million Chinese Yuan) occurred in SP, due to the large decrease in wetland areas, because this service has the highest estimated coefficient. The second greatest loss in ESV (893 million Yuan) occurred in JJJ, due to the urban expansion of major cities. In contrast, ESV increased (72 million Yuan) in LP. This study demonstrates that urban expansion does not necessarily lead to a net decline in ESV. In conclusion, land use and land cover policymaking should consider the sustainability of ecosystem services in relation to economic growth. OPEN ACCESSSustainability 2015, 7 10366

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“…Indeed, globalization has supplied Jiangsu with a large market and foreign firms, especially transnational corporations. Globalized cities may experience a higher rate of urban land development to build industrial parks and high-grade residential areas [10].…”

Section: Results Of the Regression Analysismentioning

confidence: 99%

“…Urban land expansion in China has resulted from industrialization, land commodification, and infrastructure development in the context of rapid economic growth [1,10,11]. Furthermore, physical factors such as geology, geomorphology, elevation, and slope restrict urban land development [12] and changes in social and economic conditions play a decisive role in land use change and urban land growth [13,14].…”

Section: Introductionmentioning

confidence: 99%

Spatial–Temporal Patterns and Driving Factors of Rapid Urban Land Development in Provincial China: A Case Study of Jiangsu

2017

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Abstract:Since its economic reform and opening-up, China has undergone unprecedented urbanization, where massive areas of rural land have been converted into urban use. Urban land development plays an important role in dynamic urban economic development. This study aims to contribute to the understanding of urban land development and its mechanisms in China. We conceptualized the mechanism of urban land development from multiple perspectives based on a case study in Jiangsu Province. We employed the methods of global and local spatial auto-correlation The results show that urban land development varies significantly across different time periods, spatial scales, and regions in Jiangsu. Higher absolute urban land development mainly occurred in Sunan, expanding to Subei and Suzhong, while faster development occurred mainly in Subei, where the initial bases were lower but had strong economic growth potential. The regression analysis shows that market activities and administrative levels had played a more critical role in driving urban land development, which suggests that rapid urban land development has institutional and market foundations. Urban land development was not only a consequence of economic development but also a strategy of local governments to stimulate and govern the urban economy. This study enriches the literature on urban dynamics by providing an institutional understanding of rapid urban land development in a transitional economy.

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Land use change and economic growth in urban China: A structural equation analysis

Cited by 165 publications

References 33 publications

Spatiotemporal Variation of China’s State-Owned Construction Land Supply from 2003 to 2014

Spatiotemporal Variation of China’s State-Owned Construction Land Supply from 2003 to 2014

The Impact of Land Cover Change on Ecosystem Service Values in Urban Agglomerations along the Coast of the Bohai Rim, China

Spatial–Temporal Patterns and Driving Factors of Rapid Urban Land Development in Provincial China: A Case Study of Jiangsu

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