Land-use changes and policy dimension driving forces in China : present, trend and future

By Jing Wang, Yongqi Chen, X. Shao, Yan-yu Zhang, Yingui Cao. 2012

356 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/1b62f8851977cdcc9a5b93bf45d0cc78aeda2d2c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Zhiji Huang
2. Yehua Dennis Wei
3. Canfei He
4. Xinyue Ye
5. Jiquan Chen

In Global and Planetary Change

1. Yang Zhou
2. Yan-sui Liu
3. Zhiji Huang
4. Canfei He
5. Xinyue Ye
6. Yehua Dennis Wei
7. B. E. Owusu
8. P. Tongkumchum

Citations in the corpus

• Modelling of land-use change in Thailand using binary logistic regression and multinomial logistic regression (2020, background): “An estimate of land-use change offers vital information in designing the right strategies and managing plans to sustain and develop the ecosystem and city functions (Fang et al. 2007; Meiyappan and Jain 2012; Wang et al. 2012).”
• Efficiency of construction land allocation in China: An econometric analysis of panel data (2018, background): “Despite this, China’s cultivated land was significantly reduced over the past two decades, and the trend of rapid expansion of construction land has not changed (Wang et al., 2012; Song and Pijanowski, 2014; Liu et al., 2014a).”
• Urbanization, urban land expansion and environmental change in China (2014, background): “2010), and explored underlying driving forces of urban land expansion, as well as the relationship between urban expansion and environmental change (e.g., Liu et al. 2011a, b; Luo and Wei 2009; Wang et al. 2012).”
• Comparison of multinomial logistic regression and logistic regression: which is more efficient in allocating land use? (2014, background): “The Grain for Green Program, which is one of the six largest ecological forest programs in China, and which has been implemented in 25 provinces, played a key role in prompting this variability (Wang et al., 2012).”
• Fiscal decentralization, political centralization, and land urbanization in China (2016, methodology): “However, the data are the only official land use change data available in China and are often used in academic studies (Lin, 2007, 2009; Wang et al., 2012).”
• Vegetation response to extreme climate events on the Mongolian Plateau from 2000 to 2010 (2012, background): “Wang et al (2012) suggested that northwestern China experienced a decrease in croplands during 1996–2000 when IM lost 3.3 × 104 ha due to the ‘Grain for Green’ program.”