The Impact of Industrial and Residential Land Supply Ratio on Economic Growth

Xu Yang () and Rong-ping Hu
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Xu Yang: Shenzhen University
Rong-ping Hu: Shenzhen University

A chapter in Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 777-788 from Springer

Abstract: Abstract The purpose of this paper is to optimize and adjust the proportion of industrial and residential land supply to promote sustainable economic growth in China under the condition that the total scale of industrial and residential land supply remains the same. Research methods: In this paper, panel data of industrial and residential land from 2006 to 2016 in 282 prefecture-level cities in China were selected and the ratio of the two was incorporated into CD production function to establish a regression model. Firstly, OLS estimation was carried out without considering spatial autocorrelation to investigate the influence of the proportion of the two types of land on economic growth. Then, OLS estimation residues are tested for spatial correlation. If there is significant spatial autocorrelation, a spatial regression model with spatial correlation is needed for estimation. Finally, geographical weighted regression model is used to analyze the spatial and temporal differences of proportional effect. Research results: The proportion of industrial and residential land supply has significant temporal and spatial difference in promoting the economic growth; Under the condition that the total scale of industrial and residential land remains the same, increasing the proportion of industrial and residential land supply has a promoting effect on China's economic growth. However, the number of cities playing a promoting role is decreasing, while the number of cities playing a restraining role is increasing. Moreover, the degree of influence is becoming smaller and less significant.

Keywords: Industrial and residential land; Supply structure; Economic growth; Cobb Douglas production function; Spatial regression model (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-3587-8_50

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DOI: 10.1007/978-981-16-3587-8_50

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