Socio-economic driving forces of land-use change in Kunshan, the Yangtze River Delta economic area of China

Long, Hualou; Tang, Guoping; Li, Xiubin; Heilig, G.K.

doi:10.1016/j.jenvman.2006.04.003

Cited by 363 publications

(224 citation statements)

References 59 publications

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“…China has experienced drastic changes in land use since the initiation of economic reforms in 1978, especially through the loss of farmland to construction, driven primarily by urbanization and industrialization (Lin and Ho, 2003;Liu et al, 2008;Long et al, 2007;Qu et al, 1995;Xie et al, 2005;Zhong et al, 2011). Between 1996 and 2008, total farmland in China decreased by approximately 8.32 Mha, or about 6.4% (MLRC, 2009), whilst during the same period China's population increased from 1224 million to 1328 million, with the proportion living in urban areas rising from 30.5% to 45.7% (NBSC, 2009).…”

Section: Hollowed Villages and Land-use Policymentioning

confidence: 99%

Accelerated restructuring in rural China fueled by ‘increasing vs. decreasing balance’ land-use policy for dealing with hollowed villages

et al. 2012

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Section: Hollowed Villages and Land-use Policymentioning

confidence: 99%

Accelerated restructuring in rural China fueled by ‘increasing vs. decreasing balance’ land-use policy for dealing with hollowed villages

et al. 2012

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“…Then, the changes among the six different LULC types were measured using ESRI's ArcGIS spatial analyst module (Long et al, 2007).…”

Section: Land Use Transition Analysismentioning

confidence: 99%

“…In addition, it can be clearly seen that the changes in the first five years were much more significant than those in the following five years (Figure 3). In order to explore the internal conversion between different LULC types, which took place between 2000 and 2010, the change (decrease or increase) in a LULC type in 2010 relative to 2000 was treated as a result of several "loss or gain" conversions (Long et al, 2007). The expansion in construction land was caused mainly by a decrease in farmland, grassland and unused land, accounting for 90.84%, 2.47% and 2.26%, respectively ( Table 2).…”

Section: Land Use Transitions In the Huang-huai-hai Plainmentioning

confidence: 99%

Land use transitions and their dynamic mechanism: The case of the Huang-Huai-Hai Plain

Liu

Long

2016

J. Geogr. Sci.

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Land use transition refers to changes in land use morphology, including dominant morphology and recessive morphology, of a particular region over a period of time driven by various factors. Recently, issues related to land use transition in China have attracted interest among a wide variety of researchers as well as government officials. This paper examines the patterns of land use transition and their dynamic mechanism in the Huang-Huai-Hai Plain during 2000-2010. First, the spatio-temporal patterns of land use transition, their characteristics and the laws governing them were analyzed. Second, based on the established conceptual framework for analyzing the dynamic mechanism of land use transition, a spatial econometric regression analysis method was used to analyze the dynamic mechanism of the five types of major land use transition in the Huang-Huai-Hai Plain at the county level. Land use pattern changes in the study area were characterized by an increase in construction land, water body and forested land, along with a decrease in farmland, unused land and grassland. The changes during 2000-2005 were much more significant than those during 2005-2010. In terms of factors affecting land use transitions, natural factors form the basis, and they have long-term effects. Socio-economic factors such as population and GDP, however, tend to determine the direction, structure, size and layout of land use transition over shorter time periods. Land law and policy factors play a mandatory guiding and restraining role in land use transitions, so as to improve the overall efficiency of land use. Land resource engineering is also an important tool to control land use transitions. In general, the five types of major land use transition were the result of the combined action of various physical, social and economic factors, of which traffic condition and location condition had the most significant effects, i.e. they were the common factors in all land use transitions. Understanding the spatio-temporal process of land use transitions and their dynamic mechanisms is an important foundation for utilizing land resources, protecting regional ecological environment and promoting sustainable regional socio-economic development. 516Journal of Geographical Sciences

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“…At present, driving forces were studied mainly based on time series data using methods such as correlation analysis, canonical correlation analysis, multiple regression analysis, multivariate analysis and so on (Long et al, 2007). Most of such methods applied statistic model to simulate the land use change process, seldom considering spatial variables affect-ing land use change processes, and thus not reflecting the influence of environmental and anthropogenic difference in inner region (Xie et al, 2008;.…”

Section: Introductionmentioning

confidence: 99%

Farmland changes and the driving forces in Yucheng, North China Plain

Zhao

Fan

2012

J. Geogr. Sci.

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Taking Yucheng, a typical agricultural county in Shandong Province as a case, this study applied Logistic regression models to spatially identify factors affecting farmland changes. Using two phases of high resolution imageries in 2001 and 2009, the study obtained the land use and farmland change data in [2001][2002][2003][2004][2005][2006][2007][2008][2009]. It was found that the farmland was reduced by 5.14% in the period, mainly due to the farmland conversion to forest land and built-up land, although part of forest land and unused land was converted to farmland. The results of Logistic regressions indicated that location, population growth and farmer income were main factors affecting the farmland conversion, while soil types and pro-curvature were main natural factors controlling the distribution of farmland changes. Regional differences and temporal-spatial variables of farmland changes affected fitting capability of the Logistic regression models. The ROC fitting test indicated that the Logistic regression models gave a good explanation of the regional land-use changes. Logistic regression analysis is a good tool to identify major factors affecting land use change by quantifying the contribution of each factor.

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Socio-economic driving forces of land-use change in Kunshan, the Yangtze River Delta economic area of China

Cited by 363 publications

References 59 publications

Accelerated restructuring in rural China fueled by ‘increasing vs. decreasing balance’ land-use policy for dealing with hollowed villages

Accelerated restructuring in rural China fueled by ‘increasing vs. decreasing balance’ land-use policy for dealing with hollowed villages

Land use transitions and their dynamic mechanism: The case of the Huang-Huai-Hai Plain

Farmland changes and the driving forces in Yucheng, North China Plain

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