Temporal-Spatial Variations and Regional Disparities in Land-Use Efficiency, and the Response to Demographic Transition
Ge Wang,
Juan Yang,
Dinghua Ou,
Yalan Xiong,
Ouping Deng and
Qiquan Li
Additional contact information
Ge Wang: College of Resources, Sichuan Agricultural University, Chengdu 611130, China
Juan Yang: College of Resources, Sichuan Agricultural University, Chengdu 611130, China
Dinghua Ou: College of Resources, Sichuan Agricultural University, Chengdu 611130, China
Yalan Xiong: College of Resources, Sichuan Agricultural University, Chengdu 611130, China
Ouping Deng: College of Resources, Sichuan Agricultural University, Chengdu 611130, China
Qiquan Li: College of Resources, Sichuan Agricultural University, Chengdu 611130, China
Sustainability, 2019, vol. 11, issue 17, 1-22
Abstract:
China has undergone rapid industrialization and urbanization over the past 40 years. In this process, as a large country with a vast territory and a large population, China’s population development and land utilization have been greatly affected and undergone dramatic changes. In this paper, we mainly discuss the temporal and spatial variation characteristics of land-use efficiency in China from 1991 to 2016 and the regional disparities and explore the impacts of demographic transition on land-use efficiency by employing a STIRPAT model. In terms of space, China’s land-use efficiency has significant agglomeration distribution characteristics and regional inequality, and the degrees of agglomeration and differentiation have gradually become enhanced over time. Our study on the influences of demographic transition on land-use efficiency found a Kuznets curve relationship between the transition of population size and land-use efficiency, as well as between the income level transition and land-use efficiency. Especially, land-use efficiency first increases up to the population threshold of 10,611.877 × 10 4 , then efficiency decreases as the population grows. The overall average population in the whole country is 4117.753 × 10 4 , which is smaller than the identified threshold. Interestingly, the factors influencing land-use efficiency also showed very significant regional disparities. In the eastern region, there is a U-curve relationship between the population employed in secondary industries (ES2) and land-use efficiency. Land-use efficiency decreases down to the ES2 threshold of 343.674 × 10 4 for the eastern region, whereas the overall average ES2 is 874.976 × 10 4 , indicating that this region has reached the turning point where land-use efficiency will improve as the population employed in secondary industries increases. Meanwhile, the increase in the human capital level was significantly positively correlated with land-use efficiency in the eastern region. For the central region, the transition of the urban–rural population structure (measured by the urbanization rate) significantly increased land-use efficiency. In addition, the results of panel estimation showed a Kuznets relationship between the population employed in tertiary industries (ES3) and land-use efficiency in the western region. Land-use efficiency increases up to the ES3 threshold of 455.545 × 10 4 , and then decreases with an increasing population employed in tertiary industries, whereas the overall average ES3 in the western region is 415.97 × 10 4 , which is smaller than the identified threshold. Policymakers could use these findings to inform rational suggestions with a sound scientific basis regarding the promotion of land-use transition.
Keywords: land-use efficiency; ESDA; regional disparity; demographic transition; STIRPAT model; panel estimation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://www.mdpi.com/2071-1050/11/17/4756/pdf (application/pdf)
https://www.mdpi.com/2071-1050/11/17/4756/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:17:p:4756-:d:262640
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().