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HUANG Xin, HUANG Xiaojun, LIU Mengmeng, WANG Bo, ZHAO Yonghua. Spatial-temporal Dynamics and Driving Forces of Land Development Intensity in the Western China from 2000 to 2015[J]. Chinese Geographical Science, 2020, 30(1): 16-29. doi: 10.1007/s11769-020-1095-2
Citation: HUANG Xin, HUANG Xiaojun, LIU Mengmeng, WANG Bo, ZHAO Yonghua. Spatial-temporal Dynamics and Driving Forces of Land Development Intensity in the Western China from 2000 to 2015[J]. Chinese Geographical Science, 2020, 30(1): 16-29. doi: 10.1007/s11769-020-1095-2
shu

Spatial-temporal Dynamics and Driving Forces of Land Development Intensity in the Western China from 2000 to 2015

doi: 10.1007/s11769-020-1095-2

  • 1. School of Earth Science and Resources, Chang'an University, Xi'an 710054, China;

  • 2. Shaanxi Key Laboratory of Land Consolidation, Xi'an 710054, China;

  • 3. College of Urban and Environmental Science, Northwest University, Xi'an 710127, China;

  • 4. Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi'an 710127, China

Funds:

National Natural Science Foundation of China (No. 41971178

31170664)

Under the auspices of Fundamental Research Funds for the Central University (No. 310827171012)

Key Research & Development Program of Shaanxi Province (No. 2019SF-245)

National Key Research & Development Program of China (2017YFC0504705)

31670549

Open Fund of Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity (No. SKLESS201807)

  • Received Date: 2019-05-14
  • Rev Recd Date: 2019-09-17
  • The change in land development intensity is an important perspective to reflect the variation in regional social and economic development and spatial differentiation. In this paper, spatial statistical analysis, Ordinary Least Squares (OLS), and Geographically weighted regression (GWR) methods are used to systematically analyse the spatial-temporal characteristics and driving forces of land development intensity for 131 spatial units in the western China from 2000 to 2015. The findings of the study are as follows:1) The land development intensity in the western China has been increasing rapidly. From 2000 to 2015, land development intensity increased by 3.4 times on average. 2) The hotspot areas have shifted from central Inner Mongolia, northern Shaanxi and the Beibu Gulf of Guangxi to the Guanzhong Plain and the Chengdu-Chongqing urban agglomeration. The areas of cold spots were mainly concentrated in the Qinghai-Tibet Plateau, Yunnan, and Xinjiang. 3) Investment intensity and the natural environment have always been the main drivers of land development intensity in the western China. Investment played a powerful role in promoting land development intensity, while the natural and ecological environment distinctly constrained such development. The effect of the economic factors on land development intensity in the western China has changed, which is reflected in the driving factor of construction land development shifting from economic growth in 2000 to economic structure, especially industrial structure, in 2015.
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Spatial-temporal Dynamics and Driving Forces of Land Development Intensity in the Western China from 2000 to 2015

doi: 10.1007/s11769-020-1095-2
  • 1. School of Earth Science and Resources, Chang'an University, Xi'an 710054, China;
  • 2. Shaanxi Key Laboratory of Land Consolidation, Xi'an 710054, China;
  • 3. College of Urban and Environmental Science, Northwest University, Xi'an 710127, China;
  • 4. Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi'an 710127, China
Funds:

National Natural Science Foundation of China (No. 41971178

31170664)

Under the auspices of Fundamental Research Funds for the Central University (No. 310827171012)

Key Research & Development Program of Shaanxi Province (No. 2019SF-245)

National Key Research & Development Program of China (2017YFC0504705)

31670549

Open Fund of Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity (No. SKLESS201807)

  • Received Date: 2019-05-14
  • Rev Recd Date: 2019-09-17

Abstract: The change in land development intensity is an important perspective to reflect the variation in regional social and economic development and spatial differentiation. In this paper, spatial statistical analysis, Ordinary Least Squares (OLS), and Geographically weighted regression (GWR) methods are used to systematically analyse the spatial-temporal characteristics and driving forces of land development intensity for 131 spatial units in the western China from 2000 to 2015. The findings of the study are as follows:1) The land development intensity in the western China has been increasing rapidly. From 2000 to 2015, land development intensity increased by 3.4 times on average. 2) The hotspot areas have shifted from central Inner Mongolia, northern Shaanxi and the Beibu Gulf of Guangxi to the Guanzhong Plain and the Chengdu-Chongqing urban agglomeration. The areas of cold spots were mainly concentrated in the Qinghai-Tibet Plateau, Yunnan, and Xinjiang. 3) Investment intensity and the natural environment have always been the main drivers of land development intensity in the western China. Investment played a powerful role in promoting land development intensity, while the natural and ecological environment distinctly constrained such development. The effect of the economic factors on land development intensity in the western China has changed, which is reflected in the driving factor of construction land development shifting from economic growth in 2000 to economic structure, especially industrial structure, in 2015.

HUANG Xin, HUANG Xiaojun, LIU Mengmeng, WANG Bo, ZHAO Yonghua. Spatial-temporal Dynamics and Driving Forces of Land Development Intensity in the Western China from 2000 to 2015[J]. Chinese Geographical Science, 2020, 30(1): 16-29. doi: 10.1007/s11769-020-1095-2
Citation: HUANG Xin, HUANG Xiaojun, LIU Mengmeng, WANG Bo, ZHAO Yonghua. Spatial-temporal Dynamics and Driving Forces of Land Development Intensity in the Western China from 2000 to 2015[J]. Chinese Geographical Science, 2020, 30(1): 16-29. doi: 10.1007/s11769-020-1095-2
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