资源科学 ›› 2020, Vol. 42 ›› Issue (5): 840-855.doi: 10.18402/resci.2020.05.04
收稿日期:
2019-07-03
修回日期:
2019-12-26
出版日期:
2020-05-25
发布日期:
2020-07-25
通讯作者:
李晶
作者简介:
王圣云,男,山西河曲人,博士,研究员,研究方向为福祉地理与区域差异。E-mail:wangshengyun@163.com
基金资助:
WANG Shengyun1,2, HAN Yajie3, REN Huimin2, Li Jing1,2()
Received:
2019-07-03
Revised:
2019-12-26
Online:
2020-05-25
Published:
2020-07-25
Contact:
Jing Li
摘要:
以最少的自然消耗实现人类福祉最大化,促进可持续的福祉提升,是生态福利绩效概念的核心内涵。本文通过构建生态福利绩效模型,将生态福利绩效模型分解为经济增长的福利效应和经济增长的生态效率两个驱动效应,应用DI指数和DEA-ML指数分别对影响中国31个省域经济增长的福利效应和经济增长的生态效率进行了测算及分析。研究表明:① 2006—2016年中国人类发展水平大幅提高,在空间上呈“京津沪率先提升,然后由东向西”拓展态势。② 2006—2016年中国人类发展水平的增速明显慢于人均生态足迹增速,使得中国生态福利绩效整体呈下降趋势。③中国人类福祉增长与经济增长相对脱钩,人类福祉增速慢于经济增速。中国31个省域分为中福祉增长和低福祉增长两类,其中内蒙古、黑龙江、广西、海南、贵州、甘肃、青海、宁夏、新疆、西藏、云南11个省域为中福祉增长类型,其他20个省域属于低福祉增长类型。④ 2006—2016年中国传统全要素生产率和绿色全要素生产率都有不同程度的提高,但绿色全要素生产率一直低于传统全要素生产率,表明经济增长付出的资源环境代价影响了中国经济增长质量。⑤中国生态福利绩效提升整体由福利效应和生态效率共同驱动,根据驱动效应分解和生态福利绩效的变化情况,本文将中国31个省域生态福利绩效分为经济主导提升型、福祉带动提升型、福祉滞后下降型、经济滞后下降型、总体下降型5种类型。本文深化了对生态福利绩效变化的驱动效应的认识,对中国不同类型省域采取差异化的生态福利绩效提升策略提供参考。
王圣云, 韩亚杰, 任慧敏, 李晶. 中国省域生态福利绩效评估及其驱动效应分解[J]. 资源科学, 2020, 42(5): 840-855.
WANG Shengyun, HAN Yajie, REN Huimin, Li Jing. Evaluation of provincial ecological well-being performance and its driving effect decomposition in China[J]. Resources Science, 2020, 42(5): 840-855.
表2
2006—2016年中国省域生态福利绩效变化"
2006年 | 2007年 | 2008年 | 2009年 | 2010年 | 2011年 | 2012年 | 2013年 | 2014年 | 2015年 | 2016年 | 年均增长率/% | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
全国 | 3.01 | 2.88 | 2.79 | 2.72 | 2.62 | 2.43 | 2.39 | 2.40 | 2.42 | 2.43 | 2.44 | -2.12 |
北京 | 3.54 | 3.58 | 3.62 | 3.78 | 4.02 | 4.37 | 4.45 | 4.89 | 5.15 | 5.37 | 5.89 | 6.65 |
天津 | 2.17 | 2.17 | 2.29 | 2.25 | 2.04 | 1.96 | 2.03 | 2.05 | 2.24 | 2.34 | 2.55 | 1.74 |
河北 | 2.51 | 2.38 | 2.33 | 2.24 | 2.19 | 1.98 | 1.98 | 1.99 | 2.08 | 2.12 | 2.20 | -1.22 |
上海 | 2.66 | 2.77 | 2.68 | 2.8 | 2.69 | 2.66 | 2.74 | 2.64 | 2.96 | 2.89 | 3.18 | 1.96 |
江苏 | 2.89 | 2.80 | 2.75 | 2.71 | 2.57 | 2.33 | 2.30 | 2.27 | 2.30 | 2.25 | 2.26 | -2.18 |
浙江 | 2.89 | 2.88 | 2.85 | 2.81 | 2.78 | 2.64 | 2.71 | 2.70 | 2.74 | 2.72 | 2.88 | -0.02 |
福建 | 2.86 | 2.91 | 2.86 | 2.65 | 2.65 | 2.45 | 2.46 | 2.50 | 2.32 | 2.34 | 2.48 | -1.35 |
山东 | 2.27 | 2.16 | 2.06 | 2.03 | 1.98 | 1.91 | 1.85 | 1.94 | 1.87 | 1.82 | 1.82 | -1.96 |
广东 | 3.88 | 3.92 | 3.84 | 3.70 | 3.51 | 3.33 | 3.39 | 3.44 | 3.51 | 3.56 | 3.64 | -0.61 |
海南 | 2.50 | 2.28 | 2.21 | 2.16 | 2.21 | 2.03 | 1.98 | 2.04 | 1.94 | 1.88 | 1.99 | -2.02 |
辽宁 | 1.72 | 1.72 | 1.67 | 1.64 | 1.57 | 1.48 | 1.44 | 1.47 | 1.50 | 1.52 | 1.54 | -1.02 |
吉林 | 2.54 | 2.69 | 2.39 | 2.47 | 2.30 | 2.04 | 2.06 | 2.08 | 2.11 | 2.19 | 2.28 | -1.04 |
黑龙江 | 2.60 | 2.53 | 2.29 | 2.24 | 2.12 | 1.98 | 1.93 | 1.98 | 1.92 | 1.92 | 1.94 | -2.55 |
山西 | 1.40 | 1.37 | 1.43 | 1.47 | 1.46 | 1.35 | 1.30 | 1.27 | 1.25 | 1.27 | 1.33 | -0.51 |
安徽 | 3.99 | 3.91 | 3.62 | 3.43 | 3.34 | 3.25 | 3.13 | 2.99 | 2.88 | 2.90 | 3.04 | -2.38 |
江西 | 4.37 | 4.30 | 4.26 | 4.19 | 4.04 | 3.82 | 3.77 | 3.66 | 3.53 | 3.45 | 3.63 | -1.70 |
河南 | 3.58 | 3.37 | 3.35 | 3.33 | 3.20 | 3.00 | 3.16 | 3.16 | 3.11 | 3.09 | 3.22 | -1.01 |
湖北 | 3.35 | 3.19 | 3.20 | 3.09 | 2.92 | 2.70 | 2.65 | 2.92 | 2.84 | 2.87 | 3.02 | -0.98 |
湖南 | 4.17 | 4.00 | 4.00 | 3.89 | 3.99 | 3.70 | 3.69 | 3.84 | 3.81 | 3.74 | 3.93 | -0.57 |
广西 | 3.11 | 2.98 | 2.95 | 3.00 | 2.84 | 2.63 | 2.48 | 2.50 | 2.51 | 2.62 | 2.77 | -1.09 |
重庆 | 4.94 | 4.19 | 4.07 | 3.93 | 3.69 | 3.57 | 3.62 | 4.03 | 3.85 | 3.83 | 4.17 | -1.57 |
四川 | 4.95 | 4.62 | 4.46 | 4.20 | 4.26 | 4.24 | 4.17 | 4.12 | 3.92 | 4.11 | 4.40 | -1.12 |
贵州 | 2.85 | 2.90 | 2.95 | 2.80 | 2.95 | 2.82 | 2.63 | 2.61 | 2.76 | 2.76 | 2.76 | -0.32 |
云南 | 3.34 | 3.23 | 3.11 | 3.03 | 3.16 | 3.05 | 3.01 | 3.05 | 3.47 | 3.74 | 3.73 | 1.17 |
西藏 | 7.46 | 8.45 | 16.61 | 17.86 | 18.41 | 10.45 | 11.54 | 12.16 | 10.59 | 10.78 | 10.56 | 4.15 |
陕西 | 3.69 | 3.42 | 3.19 | 3.02 | 2.72 | 2.52 | 2.25 | 2.22 | 2.12 | 2.14 | 2.11 | -4.28 |
甘肃 | 3.30 | 3.16 | 3.17 | 3.30 | 3.17 | 2.87 | 2.82 | 2.74 | 2.84 | 2.88 | 3.08 | -0.66 |
青海 | 3.27 | 2.72 | 2.67 | 2.72 | 2.88 | 2.58 | 2.25 | 2.12 | 2.41 | 2.59 | 2.39 | -2.69 |
宁夏 | 1.51 | 1.43 | 1.37 | 1.30 | 1.18 | 0.93 | 0.89 | 0.86 | 0.85 | 0.83 | 0.91 | -3.97 |
新疆 | 2.00 | 1.95 | 1.86 | 1.69 | 1.64 | 1.45 | 1.29 | 1.19 | 1.11 | 1.12 | 1.16 | -4.20 |
内蒙古 | 1.29 | 1.23 | 1.07 | 1.04 | 1.01 | 0.83 | 0.81 | 0.83 | 0.81 | 0.82 | 0.86 | -3.32 |
表4
中国省域全要素生产率和绿色全要素生产率比较"
全要素生产率TFP | 绿色全要素生产率GTFP | ||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2006—2007年 | 2015—2016年 | 2006—2007年 | 2015—2016年 | ||||||||||||||||
TECH | SECH | PECH | TFP | TECH | SECH | PECH | TFP | TECH | SECH | PECH | GTFP | TECH | SECH | PECH | GTFP | ||||
全国 | 1.066 | 1.069 | 1.787 | 2.036 | 1.460 | 1.509 | 0.663 | 1.460 | 0.957 | 1.268 | 1.524 | 1.849 | 1.370 | 1.509 | 0.663 | 1.370 | |||
北京 | 1.019 | 1.168 | 1.036 | 1.233 | 1.555 | 0.788 | 1.270 | 1.555 | 1.035 | 1.195 | 1.033 | 1.175 | 1.053 | 1.001 | 1.000 | 1.053 | |||
天津 | 0.994 | 0.712 | 1.567 | 1.203 | 1.360 | 1.038 | 0.963 | 1.359 | 1.124 | 1.004 | 1.047 | 1.181 | 1.287 | 0.747 | 1.338 | 1.287 | |||
河北 | 1.013 | 1.259 | 1.105 | 1.409 | 9.853 | 0.146 | 6.842 | 9.853 | 0.930 | 1.567 | 0.899 | 1.309 | 4.080 | 0.208 | 4.815 | 4.080 | |||
山西 | 1.033 | 1.205 | 1.128 | 1.404 | 2.987 | 1.180 | 0.847 | 2.985 | 0.933 | 1.205 | 1.173 | 1.320 | 2.643 | 0.597 | 1.675 | 2.643 | |||
内蒙古 | 1.070 | 0.954 | 1.000 | 1.021 | 0.135 | 7.602 | 0.132 | 0.135 | 1.054 | 1.033 | 1.000 | 1.088 | 0.165 | 7.602 | 0.132 | 0.165 | |||
辽宁 | 1.007 | 1.161 | 1.143 | 1.336 | 1.000 | 1.000 | 1.000 | 1.000 | 0.924 | 1.468 | 0.956 | 1.297 | 1.000 | 1.000 | 1.000 | 1.000 | |||
吉林 | 1.063 | 1.178 | 1.238 | 1.551 | 8.936 | 0.611 | 1.637 | 8.936 | 0.947 | 1.755 | 1.008 | 1.675 | 1.125 | 1.496 | 0.669 | 1.125 | |||
黑龙江 | 1.064 | 1.075 | 1.078 | 1.234 | 1.000 | 3.562 | 0.281 | 1.000 | 0.946 | 1.426 | 0.878 | 1.184 | 1.000 | 3.214 | 0.311 | 1.000 | |||
上海 | 1.013 | 1.160 | 1.000 | 1.176 | 0.910 | 0.901 | 1.110 | 0.910 | 1.113 | 1.001 | 1.000 | 1.114 | 0.910 | 0.901 | 1.110 | 0.910 | |||
江苏 | 1.047 | 1.304 | 0.852 | 1.163 | 1.570 | 0.873 | 1.146 | 1.570 | 1.001 | 1.354 | 0.851 | 1.154 | 1.449 | 0.873 | 1.146 | 1.449 | |||
浙江 | 0.979 | 1.178 | 1.032 | 1.190 | 2.348 | 0.796 | 1.257 | 2.348 | 1.016 | 1.144 | 1.023 | 1.190 | 1.999 | 0.797 | 1.255 | 1.999 | |||
安徽 | 1.045 | 0.952 | 1.020 | 1.015 | 2.114 | 0.826 | 1.210 | 2.114 | 0.966 | 1.135 | 0.948 | 1.040 | 2.850 | 0.826 | 1.210 | 2.850 | |||
福建 | 1.030 | 0.729 | 1.244 | 0.934 | 3.120 | 0.880 | 1.137 | 3.120 | 0.943 | 1.034 | 0.973 | 0.948 | 2.631 | 0.880 | 1.137 | 2.631 | |||
江西 | 1.018 | 1.139 | 1.018 | 1.181 | 2.363 | 0.778 | 1.286 | 2.363 | 0.954 | 1.291 | 0.950 | 1.169 | 3.400 | 0.779 | 1.284 | 3.400 | |||
山东 | 1.061 | 1.227 | 1.022 | 1.330 | 2.831 | 1.009 | 0.992 | 2.831 | 1.042 | 1.207 | 1.014 | 1.275 | 2.274 | 1.009 | 0.992 | 2.274 | |||
河南 | 1.085 | 1.155 | 0.924 | 1.158 | 1.901 | 0.689 | 1.451 | 1.901 | 0.979 | 1.297 | 0.886 | 1.124 | 2.228 | 0.726 | 1.377 | 2.228 | |||
湖北 | 1.034 | 0.934 | 1.183 | 1.142 | 1.659 | 0.906 | 1.103 | 1.659 | 0.966 | 1.188 | 0.967 | 1.109 | 3.860 | 0.906 | 1.103 | 3.860 | |||
湖南 | 1.024 | 0.844 | 1.048 | 0.906 | 1.905 | 1.000 | 1.000 | 1.905 | 0.942 | 1.072 | 0.861 | 0.870 | 3.541 | 1.000 | 1.000 | 3.541 | |||
广东 | 0.924 | 0.985 | 0.817 | 0.743 | 2.617 | 0.666 | 1.501 | 2.617 | 0.914 | 0.985 | 0.903 | 0.814 | 2.218 | 0.682 | 1.466 | 2.218 | |||
广西 | 1.071 | 1.124 | 1.065 | 1.283 | 3.027 | 0.827 | 1.209 | 3.027 | 0.990 | 1.293 | 0.968 | 1.238 | 1.279 | 1.206 | 0.829 | 1.279 | |||
海南 | 1.036 | 1.045 | 0.674 | 0.730 | 2.670 | 0.527 | 1.898 | 2.670 | 1.036 | 1.059 | 0.691 | 0.758 | 2.168 | 0.540 | 1.851 | 2.168 | |||
重庆 | 1.000 | 0.684 | 0.708 | 0.484 | 2.067 | 0.919 | 1.088 | 2.067 | 1.000 | 0.771 | 0.708 | 0.546 | 1.778 | 0.919 | 1.088 | 1.778 | |||
四川 | 1.083 | 0.952 | 1.026 | 1.058 | 1.000 | 1.172 | 0.854 | 1.000 | 1.012 | 1.135 | 0.885 | 1.017 | 1.000 | 1.039 | 0.963 | 1.000 | |||
贵州 | 1.000 | 1.000 | 1.000 | 1.000 | 1.063 | 1.057 | 0.946 | 1.063 | 1.000 | 1.000 | 1.000 | 1.000 | 1.012 | 1.057 | 0.946 | 1.012 | |||
云南 | 1.020 | 1.074 | 1.063 | 1.165 | 3.075 | 0.830 | 1.205 | 3.075 | 0.956 | 1.257 | 1.095 | 1.316 | 0.477 | 1.029 | 0.971 | 0.477 | |||
西藏 | 1.951 | 0.915 | 0.800 | 1.429 | 1.501 | 0.861 | 1.162 | 1.501 | 1.904 | 1.000 | 1.000 | 1.904 | 1.255 | 0.861 | 1.162 | 1.255 | |||
陕西 | 1.056 | 0.902 | 0.822 | 0.783 | 5.344 | 0.275 | 3.632 | 5.344 | 1.016 | 1.002 | 0.826 | 0.841 | 3.339 | 0.279 | 3.589 | 3.339 | |||
甘肃 | 1.010 | 0.781 | 0.914 | 0.721 | 2.241 | 0.638 | 1.566 | 2.240 | 0.956 | 0.841 | 0.867 | 0.697 | 1.386 | 0.276 | 3.622 | 1.386 | |||
青海 | 1.123 | 1.045 | 1.075 | 1.261 | 3.265 | 0.470 | 2.127 | 3.265 | 1.123 | 1.045 | 1.075 | 1.261 | 0.421 | 1.000 | 1.000 | 0.421 | |||
宁夏 | 0.820 | 1.000 | 1.000 | 0.820 | 2.427 | 0.656 | 1.524 | 2.427 | 0.820 | 1.000 | 1.000 | 0.820 | 2.047 | 0.648 | 1.544 | 2.047 | |||
新疆 | 1.035 | 1.086 | 0.851 | 0.956 | 2.250 | 0.835 | 1.198 | 2.250 | 1.037 | 1.113 | 0.845 | 0.975 | 1.959 | 0.835 | 1.198 | 1.959 |
[1] | 彭红松, 郭丽佳, 章锦河, 等. 区域经济增长与资源环境压力的关系研究进展[J]. 资源科学, 2020,42(4):593-606. |
[ Peng H S, Guo L J, Zhang J H, et al. Research progress and implication of the relationship between regional economic growth andresource-environmental pressure[J]. Resources Science, 2020,42(4):593-606.] | |
[2] | 诸大建, 张帅. 基于生态足迹的中国福利水平及其影响因素研究[J]. 城市与环境研究, 2014,1(1):18-33. |
[ Zhu D J, Zhang S. The research on wellbeing level of China and its impact factors from the perspective of ecological footprint[J]. Urban and Environmental Studies, 2014,1(1):18-33.] | |
[3] | 杨爱婷, 宋德勇. 中国社会福利水平的测度及对低福利增长的分析: 基于功能与能力的视角[J]. 数量经济技术经济研究, 2012, (11):3-17. |
[ Yang A T, Song D Y. The measurement of Chinese social welfare and the analysis of low-welfare growth[J]. The Journal of Quantitative and Technical Economics, 2012, (11):3-17.] | |
[4] | 林木西, 耿蕊, 李国柱. 省域生态福利绩效水平的空间非均衡性研究: 基于MLD指数与分布动态学模型[J]. 东岳论丛, 2019,40(10):73-83. |
[ Lin M X, Geng R, Li G Z. Research on spatial disequilibrium of ecological well-being performance level in provinces: Based on MLD index and distribution dynamics model[J]. Donyue Tribune, 2019,40(10):73-83.] | |
[5] |
Li J, Luo Y, Wang S Y. Spatial effects of economic performance on the carbon intensity of human well-being: The environmental Kuznets curve in Chinese provinces[J]. Journal of Cleaner Production, 2019,233:681-694.
doi: 10.1016/j.jclepro.2019.05.396 |
[6] | 胡涛, 陈同斌. 中国的可持续发展研究: 从概念到行动[M]. 北京: 中国环境科学出版社, 1995. |
[ Hu T, Chen T B. Research on China’s Sustainable Development from Concept to Action[M]. Beijing: China Environmental Science Press, 1995.] | |
[7] | Munasinghe M, Mcneely J. Key Concepts and Terminology of Sustainable Development, Defining and Measuring Sustainability[M]. New York: The Biogeogphysical Foundations, 1996. |
[8] |
Zhang S, Zhu D J, Shi Q H, et al. Which countries are more ecologically efficient in improving human well-being? An application of the index of ecological well-being performance[J]. Resources, Conservation, and Recycling, 2018,129:112-119.
doi: 10.1016/j.resconrec.2017.10.015 |
[9] | 戴维·皮尔斯, 杰瑞米·沃福德, 著. 世界无末日: 经济学·环境与可持续发展[M]. 张世秋, 译. 北京: 中国财政经济出版社, 1996. |
[ Pearce D, Wardford J. World without End: Economics, Environment, and Sustainable Development[M]. Zhang S Q, Trans. Beijing: Chinese Financial & Economic Publishing House, 1996.] | |
[10] | Sen A. Development as capability expansion[J]. Journal of Development Planning, 1989,19:41-58. |
[11] | UNDP. Human Development Report 1990[R]. New York: Oxford University Press, 1990. |
[12] | 张永民. 生态系统与人类福祉: 评估框架[M]. 北京: 中国环境科学出版社, 2007. |
[ Zhang Y M. Ecosystems and Human Well-Being[M]. Beijing: China Environmental Science Press, 2007.] | |
[13] | 诸大建, 张帅. 生态福利绩效与深化可持续发展的研究[J]. 同济大学学报(社会科学版), 2014,25(5):106-115. |
[ Zhu D J, Zhang S. Ecological wellbeing performance and further research on sustainable development[J]. Journal of Tongji University (Social Science Section), 2014,25(5):106-115.] | |
[14] | 王圣云. 中部地区人文发展的生态效率评价[J]. 经济地理, 2011,31(5):827-832. |
[ Wang S Y. Evaluation on eco-efficiency from human development in the central China[J]. Economic Geography, 2011,31(5):827-832.] | |
[15] | World Business Council for Sustainable Development, United Nations Environment Program. EcoEfficiency and Cleaner Production: Charting the Course to Sustainability[M]. Geneva: WBCSD, 1998. |
[16] | Organization for Economic Cooperation and Development. Ecoefficiency[R]. Paris: OECD, 1998. |
[17] | Daly H E. The word dynamics of economic growth: The economics of the steady state[J]. America Economic Review, 1974,64(2):15-23. |
[18] | 刘家根, 黄璐, 严力蛟. 生态系统服务对人类福祉的影响: 以浙江省桐庐县为例[J]. 生态学报, 2018,38(5):1687-1697. |
[ Liu J G, Huang L, Yan L J. Influence of ecosystem services on human well-being: A case study of Tonglu County, Zhejiang Province, China[J]. Acta Ecologica Sinica, 2018,38(5):1687-1697.] | |
[19] | De Groot R S, Wilson M A, Bounmans R M J. A typology for the classification, description and valuation of ecosystem functions, goods and services[J]. Ecological Economics, 2002,41(3):393-408. |
[20] | Wiedmann T, Minx J, Barrett J, et al. Allocation ecological footprints to final consumption categories with input-output analysis[J]. Ecological Economics, 2006,56(1):28-48. |
[21] | Mark N, Simms A, Thompson S, et al. The Unhappy Planet Index: An Index of Human Well-Being and Environmental Impact[M]. London: New Economics Foundation, 2006. |
[22] | Common M. Measuring national economic performance without using prices[J]. Ecological Economics, 2007,64(1):92-102. |
[23] | Dietz T E, Rose A, York R. Environmentally efficient well-being: Is there a Kuznets curve?[J]. Applied Geography, 2012,32(1):21-28. |
[24] | 臧漫丹, 诸大建, 刘国平. 生态福利绩效: 概念、内涵及G20实证[J]. 中国人口·资源与环境, 2013,23(5):118-124. |
[ Zang M D, Zhu D J, Liu G P. Ecological wellbeing performance: Concept, connotation and empirical of G20[J]. China Population, Resources and Environment, 2013,23(5):118-124.] | |
[25] | 付伟, 赵俊权, 杜国桢. 资源可持续利用评价: 基于资源福利指数的实证分析[J]. 自然资源学报, 2014,29(11):1902-1915. |
[ Fu W, Zhao J Q, Du G Z. The evaluation of resource sustainable utilization: Based on empirical analysis of resources welfare index[J]. Journal of Natural Resources, 2014,29(11):1902-1915.] | |
[26] | 冯吉芳, 袁健红. 中国区域生态福利绩效及其影响因素[J]. 中国科技论坛, 2016, (3):100-105. |
[ Feng J F, Yuan J H. On Chinese regional ecological well-being performance and its influence factors[J]. Forum on Science and Technology in China, 2016, (3):100-105.] | |
[27] | 徐昱东, 亓朋, 童临风. 中国省级地区生态福利绩效水平时空分异格局研究[J]. 区域经济评论, 2017, (4):123-131. |
[ Xu Y D, Qi P, Tong L F. Spatial-temporal differentiation of Chinese provincial ecological well-being performance[J]. Regional Economic Review, 2017, (4):123-131.] | |
[28] | 方时姣, 肖权. 中国区域生态福利绩效水平及其空间效应研究[J]. 中国人口·资源与环境, 2019,223(3):1-10. |
[ Fang S J, Xiao Q. Research on regional ecological well-being performance and spatial effect in China[J]. China Population, Resources and Environment, 2019,223(3):1-10.] | |
[29] | 龙亮军. 基于两阶段Super-NSBM模型的城市生态福利绩效评价研究[J]. 中国人口·资源与环境, 2019,29(7):1-10. |
[ Long L J. Evaluation of urban ecological well-being performance of Chinese major cities based on two-stage super-efficiency network SBM model[J]. China Population, Resources and Environment, 2019,29(7):1-10.] | |
[30] | 刘国平, 朱远. 碳排放约束下的中国省域全要素福利绩效研究[J]. 软科学, 2014,28(8):88-93. |
[ Liu G P, Zhu Y. Total factor wellbeing performance of Chinese provincial region within the limitation of carbon emission[J]. Soft Science, 2014,28(8):88-93.] | |
[31] | 杜慧彬, 黄立军, 张辰, 等. 中国省级生态福利绩效区域差异性分解和收敛性研究[J]. 生态经济, 2019,35(3):187-193. |
[ Du H B, Huang L J, Zhang C, et al. Research on the regional differences decomposition and convergence mechanism of ecological well-being performance[J]. Ecological Economy, 2019,35(3):187-193.] | |
[32] | 龙亮军. 中国主要城市生态福利绩效评价研究: 基于PCA-DEA方法和Malmquist指数的实证分析[J]. 经济问题探索, 2019, (2):69-78. |
[ Long L J. Measurement and evaluation of urban ecological well-being performance of 35 major cities in China: Based on PCA-DEA and Malmquist index method[J]. Inquiry into Economic Issues, 2019, (2):69-78.] | |
[33] | 郭炳南, 卜亚. 长江经济带城市生态福利绩效评价及影响因素研究: 以长江经济带110个城市为例[J]. 企业经济, 2018,37(8):30-37. |
[ Guo B N, Bu Y. Measuring the ecological welfare performance and analyzing its influencing factors of 110 prefecture level cities in the Yangtze River Economic Belt[J]. Enterprise Economy, 2018,37(8):30-37.] | |
[34] | 武剑, 林金忠. 经济增长的福利转化效应: 中国与世界比较[J]. 数量经济技术经济研究, 2015,32(8):3-24. |
[ Wu J, Lin J Z. Welfare conversion effects of economic growth based on comparison between China and the world[J]. The Journal of Quantitative & Technical Economics, 2015,32(8):3-24.] | |
[35] | 刘国平. 中国能源福利绩效及其因素分解研究: 基于G20数据[J]. 经济问题探索, 2017, (1):24-30. |
[ Liu G P. Well-being performance of energy consumption and its factor decomposition in China based on G20 Data[J]. Inquiry into Economic Issues, 2017, (1):24-30.] | |
[36] | 龙亮军, 王霞, 郭兵. 基于改进DEA模型的城市生态福利绩效评价研究: 以中国35个大中城市为例[J]. 自然资源学报, 2017,32(4):595-605. |
[ Long L J, Wang X, Guo B. Evaluation of urban ecological well-being performance based on revised DEA model: A case study of 35 major cities in China[J]. Journal of Natural Resources, 2017,32(4):595-605.] | |
[37] | 亓朋, 徐昱东, 邓丽娜. 国内外生态福利绩效研究综述[J]. 沈阳工业大学学报(社会科学版), 2017,10(6):521-526. |
[ Qi P, Xu Y D, Deng L N. A review of ecological well-being performance study home and abroad[J]. Journal of Shenyang University of Technology(Social Science Edition), 2017,10(6):521-526.] | |
[38] | 牛方曲, 封志明, 刘慧. 资源环境承载力评价方法回顾与展望[J]. 资源科学, 2018,40(4):655-663. |
[ Niu F Q, Feng Z M, Liu H. A review on evaluating methods of regional resources and environment carrying capacity[J]. Resources Science, 2018,40(4):655-663.] | |
[39] | Wackemagel M, Onisto L, Bello P, et al. Ecological Footprints of Nations: How Much Nature do They Have[C]. Toronto: International Council for Local Environmental Initiatives, 1997. |
[40] | 史丹, 王俊杰. 基于生态足迹的中国生态压力与生态效率测度与评价[J]. 中国工业经济, 2016, (5):5-21. |
[ Shi D, Wang J J. Measurement and evaluation of China’s ecological pressure and ecological efficiency based on ecological footprint[J]. China Industrial Economics, 2016, (5):5-21.] | |
[41] | Tapio P. Towards a theory of decoupling: Degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001[J]. Transport Policy, 2005,12(2):137-151. |
[42] | Chung Y H, Fare R, Grosskope S. Productivity and undesirable outputs: A directional distance function approach[J]. Journal of Environmental Management, 1997,51(3):229-240. |
[43] | Fare R, Grosskope S, Pasurka C A. Environmental production functions and environmental directional distance functions[J]. Energy, 2007,32(7):1055-1066. |
[44] | 钟水映, 冯英杰. 中国省际间绿色发展福利测量与评价[J]. 中国人口·资源与环境, 2017,27(9):196-204. |
[ Zhong S Y, Feng Y J. Green development welfare measurement and evaluation among of China’s provinces[J]. China Population, Resources and Environment, 2017,27(9):196-204.] | |
[45] | 孙广生, 黄祎, 田海峰, 等. 全要素生产率、投入替代与地区间的能源效率[J]. 经济研究, 2012,47(9):99-112. |
[ Sun G S, Huang Y, Tian H F, et al. Total factor productivity, inputs substitution and regional energy efficiency disparity[J]. Economic Research Journal, 2012,47(9):99-112.] | |
[46] | 联合国开发计划署. 中国人类发展报告2016[R]. 北京: 中国出版集团, 2016. |
[ UNDP. China National Human Development Report 2016[R]. Beijing: China Publishing Group Corporation, 2016.] | |
[47] | 胡鞍钢, 王洪川, 魏星. 中国各地区人类发展: 大进步与大趋同(1980-2010)[J]. 清华大学学报(哲学社会科学版), 2013,28(5):55-68. |
[ Hu A G, Wang H C, Wei X. Human development in various regions of China: Big step and large convergence (1980-2010)[J]. Journal of Tsinghua University (Philosophy and Social Sciences), 2013,28(5):55-68.] | |
[48] | 王圣云, 罗玉婷, 韩亚杰, 等. 中国人类福祉地区差距演变及其影响因素: 基于人类发展指数(HDI)的分析[J]. 地理科学进展, 2018,37(8):1150-1158. |
[ Wang S Y, Luo Y T, Han Y J, et al. Regional difference and determinants of human well-being in China: Based on the analysis of human development index[J]. Progress in Geography, 2018,37(8):1150-1158.] | |
[49] | Kumar S. Environmentally sensitive productivity growth: A global analysis using Malmquist-Luenberger index[J]. Ecological Economics, 2006,56(2):280-293. |
[50] | 王维国, 范丹. 节能减排约束下的中国区域全要素生产率演变趋势与增长动力[J]. 经济管理, 2012, (11):142-151. |
[ Wang W G, Fan D. Evolution trend of total factor productivity in regional of China under energy-saving and emission-abating and dynamic analysis of regional economic growth: Based on the Malmqulist-Luenberger index method[J]. Business Management Journal, 2012, (11):142-151.] |
[1] | 洪顺发, 郭青海, 李达维. 基于生态足迹理论的中国生态供需平衡时空动态[J]. 资源科学, 2020, 42(5): 980-990. |
[2] | 邵汉华, 夏海波. 中国城市蔓延对绿色全要素生产率的影响[J]. 资源科学, 2020, 42(4): 790-800. |
[3] | 于立宏, 王艳, 陈家宜. 考虑环境和代际负外部性的中国采矿业绿色全要素生产率[J]. 资源科学, 2019, 41(12): 2155-2171. |
[4] | 张陈俊, 许静茹, 张丽娜, 庞庆华. 长江经济带水资源消耗时空差异驱动效应研究[J]. 资源科学, 2018, 40(11): 2247-2259. |
[5] | 王宪恩, 段志远, 王培博, 宋俊年, 王硕, 段海燕. 1990—2014年典型国家技术变革与结构调整的碳排放驱动效应测度[J]. 资源科学, 2018, 40(11): 2317-2327. |
[6] | 马维兢, 刘斌, 杨德伟, 郭青海. 基于三维生态足迹模型的流域自然资本动态评估——以福建省九龙江流域为例[J]. 资源科学, 2017, 39(5): 871-880. |
[7] | 程超, 童绍玉, 彭海英, 闫少凯. 滇中城市群水资源生态承载力的平衡性研究[J]. 资源科学, 2016, 38(8): 1561-1571. |
[8] | 韩琴, 孙才志, 邹玮. 1998-2012年中国省际灰水足迹效率测度与驱动模式分析[J]. 资源科学, 2016, 38(6): 1179-1191. |
[9] | 张丹, 成升魁, 高利伟, 曹晓昌, 刘晓洁, 刘尧, 白军飞, 喻闻. 城市餐饮业食物浪费的生态足迹——以北京市为例[J]. 资源科学, 2016, 38(1): 10-18. |
[10] | 顾晓薇, 刘剑平, 王青, 王晓旭, 胥孝川. 金属矿床露天开采的生态足迹和生态成本[J]. , 2012, 34(11): 2133-2138. |
[11] | 刘子刚, 郑瑜. 基于生态足迹法的区域水生态承载力研究——以浙江省湖州市为例[J]. , 2011, 33(6): 1083-1088. |
[12] | 逯非, 王效科, 吴燕. 北京市居民食物消耗生态足迹和水足迹[J]. , 2011, 33(6): 1145-1152. |
[13] | 冯长春, 阚俊杰, 姚争. 基于生态足迹理论的低碳校园研究——以北京大学生态足迹为例[J]. , 2011, 33(6): 1163-1170. |
[14] | 崔文芳, 潘玉君, 王爽, 姚辉, 赵兴国. 云南省耕地资源利用的可持续性及其动态预测——基于“国家公顷”的生态足迹新方法[J]. , 2011, 33(3): 542-548. |
[15] | 成升魁, 焦雯珺, 闵庆文. 污染足迹:一种基于生态系统服务的生态足迹[J]. , 2011, 33(2): 195-200. |
|