Research Article
Coordinated Development of Urban Land Use and Ecological Economics in China
Table 2
Values of urban land intensive use in China (2006–2017).
| Province | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
| Beijing | 0.52 | 0.52 | 0.61 | 0.63 | 0.64 | 0.64 | 0.70 | 0.64 | 0.61 | 0.63 | 0.63 | 0.65 | Tianjin | 0.48 | 0.48 | 0.56 | 0.55 | 0.52 | 0.62 | 0.63 | 0.63 | 0.61 | 0.60 | 0.64 | 0.64 | Hebei | 0.43 | 0.43 | 0.54 | 0.39 | 0.38 | 0.43 | 0.45 | 0.45 | 0.45 | 0.44 | 0.45 | 0.46 | Shanxi | 0.34 | 0.39 | 0.39 | 0.41 | 0.40 | 0.44 | 0.46 | 0.45 | 0.48 | 0.47 | 0.46 | 0.47 | Inner Mongolia | 0.27 | 0.35 | 0.37 | 0.39 | 0.38 | 0.39 | 0.42 | 0.42 | 0.46 | 0.49 | 0.46 | 0.49 | Liaoning | 0.31 | 0.34 | 0.36 | 0.36 | 0.33 | 0.34 | 0.36 | 0.36 | 0.37 | 0.33 | 0.34 | 0.35 | Jilin | 0.22 | 0.25 | 0.27 | 0.26 | 0.25 | 0.27 | 0.28 | 0.29 | 0.28 | 0.31 | 0.31 | 0.33 | Heilongjiang | 0.14 | 0.21 | 0.20 | 0.24 | 0.25 | 0.29 | 0.31 | 0.31 | 0.32 | 0.30 | 0.32 | 0.34 | Shanghai | 0.57 | 0.68 | 0.54 | 0.57 | 0.58 | 0.62 | 0.64 | 0.63 | 0.64 | 0.62 | 0.65 | 0.66 | Jiangsu | 0.61 | 0.60 | 0.64 | 0.61 | 0.56 | 0.55 | 0.55 | 0.53 | 0.52 | 0.51 | 0.52 | 0.54 | Zhejiang | 0.59 | 0.54 | 0.54 | 0.51 | 0.56 | 0.49 | 0.52 | 0.52 | 0.50 | 0.50 | 0.50 | 0.52 | Anhui | 0.31 | 0.38 | 0.47 | 0.44 | 0.44 | 0.45 | 0.50 | 0.48 | 0.47 | 0.51 | 0.52 | 0.54 | Fujian | 0.64 | 0.56 | 0.61 | 0.60 | 0.56 | 0.54 | 0.60 | 0.60 | 0.61 | 0.58 | 0.60 | 0.61 | Jiangxi | 0.46 | 0.45 | 0.52 | 0.50 | 0.47 | 0.43 | 0.51 | 0.51 | 0.44 | 0.47 | 0.48 | 0.47 | Shandong | 0.49 | 0.60 | 0.57 | 0.55 | 0.56 | 0.53 | 0.55 | 0.54 | 0.52 | 0.51 | 0.53 | 0.53 | Henan | 0.42 | 0.50 | 0.42 | 0.51 | 0.52 | 0.51 | 0.54 | 0.53 | 0.54 | 0.55 | 0.57 | 0.57 | Hubei | 0.33 | 0.42 | 0.46 | 0.40 | 0.39 | 0.40 | 0.42 | 0.43 | 0.43 | 0.42 | 0.43 | 0.44 | Hunan | 0.44 | 0.45 | 0.51 | 0.49 | 0.48 | 0.49 | 0.54 | 0.54 | 0.55 | 0.57 | 0.59 | 0.60 | Guangdong | 0.51 | 0.52 | 0.53 | 0.51 | 0.53 | 0.51 | 0.52 | 0.53 | 0.52 | 0.51 | 0.54 | 0.56 | Guangxi | 0.36 | 0.41 | 0.43 | 0.40 | 0.43 | 0.44 | 0.48 | 0.45 | 0.41 | 0.44 | 0.43 | 0.45 | Hainan | 0.39 | 0.43 | 0.38 | 0.38 | 0.40 | 0.43 | 0.48 | 0.45 | 0.38 | 0.44 | 0.45 | 0.46 | Chongqing | 0.29 | 0.31 | 0.41 | 0.44 | 0.44 | 0.46 | 0.45 | 0.48 | 0.44 | 0.42 | 0.45 | 0.48 | Sichuan | 0.39 | 0.47 | 0.38 | 0.41 | 0.38 | 0.39 | 0.41 | 0.51 | 0.46 | 0.46 | 0.46 | 0.47 | Guizhou | 0.38 | 0.32 | 0.45 | 0.43 | 0.38 | 0.43 | 0.42 | 0.41 | 0.40 | 0.43 | 0.44 | 0.45 | Yunnan | 0.41 | 0.44 | 0.49 | 0.48 | 0.48 | 0.48 | 0.52 | 0.52 | 0.49 | 0.40 | 0.46 | 0.49 | Shaanxi | 0.43 | 0.41 | 0.32 | 0.30 | 0.37 | 0.41 | 0.40 | 0.43 | 0.43 | 0.42 | 0.44 | 0.46 | Gansu | 0.31 | 0.28 | 0.25 | 0.25 | 0.26 | 0.26 | 0.28 | 0.31 | 0.31 | 0.33 | 0.34 | 0.36 | Qinghai | 0.31 | 0.35 | 0.39 | 0.38 | 0.39 | 0.42 | 0.50 | 0.43 | 0.39 | 0.42 | 0.41 | 0.44 | Ningxia | 0.10 | 0.28 | 0.26 | 0.25 | 0.28 | 0.29 | 0.26 | 0.25 | 0.30 | 0.28 | 0.31 | 0.32 | Xinjiang | 0.26 | 0.30 | 0.32 | 0.27 | 0.27 | 0.27 | 0.28 | 0.28 | 0.30 | 0.29 | 0.31 | 0.33 | China | 0.39 | 0.42 | 0.44 | 0.43 | 0.43 | 0.44 | 0.47 | 0.46 | 0.45 | 0.45 | 0.47 | 0.48 | East | 0.52 | 0.54 | 0.55 | 0.53 | 0.53 | 0.54 | 0.56 | 0.55 | 0.54 | 0.53 | 0.55 | 0.56 | Central | 0.38 | 0.43 | 0.46 | 0.46 | 0.45 | 0.45 | 0.49 | 0.49 | 0.48 | 0.50 | 0.51 | 0.52 | West | 0.31 | 0.34 | 0.35 | 0.35 | 0.36 | 0.38 | 0.39 | 0.40 | 0.38 | 0.38 | 0.40 | 0.42 | Northeast | 0.22 | 0.26 | 0.28 | 0.29 | 0.28 | 0.30 | 0.31 | 0.32 | 0.33 | 0.31 | 0.32 | 0.34 |
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Data are calculated according to equation ( 1). |