World Regional Studies ›› 2022, Vol. 31 ›› Issue (3): 538-548.DOI: 10.3969/j.issn.1004-9479.2022.03.2020491
Previous Articles Next Articles
Meijuan HU1(), Ping SUN1, Zaijun LI2, Bing HOU1()
Received:
2020-07-30
Revised:
2020-10-03
Online:
2022-05-15
Published:
2022-05-17
Contact:
Bing HOU
通讯作者:
侯兵
作者简介:
胡美娟(1991-),女,博士,讲师,主要研究方向为生态经济,E-mail:humeijuan156@163.com。
基金资助:
Meijuan HU, Ping SUN, Zaijun LI, Bing HOU. Decoupling effect of economic growth and resource environment in the Yangtze River Delta[J]. World Regional Studies, 2022, 31(3): 538-548.
胡美娟, 孙萍, 李在军, 侯兵. 长三角城市经济增长与资源环境压力的脱钩效应[J]. 世界地理研究, 2022, 31(3): 538-548.
Add to citation manager EndNote|Ris|BibTeX
URL: https://sjdlyj.ecnu.edu.cn/EN/10.3969/j.issn.1004-9479.2022.03.2020491
脱钩状态 | 压力 增长率 | 经济 增长率 | 脱钩指数 | 可持续 类型 | |
---|---|---|---|---|---|
脱钩 | 强脱钩 | - | + | DI<0 | 强可持续 |
衰弱脱钩 | - | - | DI>1.2 | 弱可持续 | |
弱脱钩 | + | + | 0<DI<0.8 | 弱可持续 | |
连接 | 扩张连接 | + | + | 0.8<DI<1.2 | 不可持续 |
衰退连接 | - | - | 0.8<DI<1.2 | 不可持续 | |
负脱钩 | 扩张负脱钩 | + | + | DI>1.2 | 不可持续 |
强负脱钩 | + | - | DI<0 | 不可持续 | |
弱负脱钩 | - | - | 0<DI<0.8 | 不可持续 |
Tab.1 Decoupling index and decoupling state
脱钩状态 | 压力 增长率 | 经济 增长率 | 脱钩指数 | 可持续 类型 | |
---|---|---|---|---|---|
脱钩 | 强脱钩 | - | + | DI<0 | 强可持续 |
衰弱脱钩 | - | - | DI>1.2 | 弱可持续 | |
弱脱钩 | + | + | 0<DI<0.8 | 弱可持续 | |
连接 | 扩张连接 | + | + | 0.8<DI<1.2 | 不可持续 |
衰退连接 | - | - | 0.8<DI<1.2 | 不可持续 | |
负脱钩 | 扩张负脱钩 | + | + | DI>1.2 | 不可持续 |
强负脱钩 | + | - | DI<0 | 不可持续 | |
弱负脱钩 | - | - | 0<DI<0.8 | 不可持续 |
目标层 | 准则层 | 指标层/ 单位 |
---|---|---|
城市资源环境压力评价 | 资源消耗 | 建成区面积/ km2 |
水资源消耗量/ 万吨 | ||
能源消耗量/ 万吨标准煤 | ||
环境污染 | 工业废水排放量/ 万吨 | |
工业废气排放量/ 亿标m3 | ||
工业固废量/ 万吨 | ||
城市生活污水排放量/ 万吨 |
Tab.2 Evaluation system of resource and environmental pressure of urban development
目标层 | 准则层 | 指标层/ 单位 |
---|---|---|
城市资源环境压力评价 | 资源消耗 | 建成区面积/ km2 |
水资源消耗量/ 万吨 | ||
能源消耗量/ 万吨标准煤 | ||
环境污染 | 工业废水排放量/ 万吨 | |
工业废气排放量/ 亿标m3 | ||
工业固废量/ 万吨 | ||
城市生活污水排放量/ 万吨 |
城市 | 绝对贡献率/% | 城市 | 绝对贡献率/% | ||||
---|---|---|---|---|---|---|---|
人口效应 | 经济效应 | 技术效应 | 人口效应 | 经济效应 | 技术效应 | ||
上海市 | 30.02 | 51.07 | 18.91 | 舟山市 | 0.01 | 88.39 | 11.59 |
南京市 | 9.81 | 43.22 | 46.97 | 丽水市 | 0.92 | 83.13 | 15.95 |
无锡市 | 9.64 | 56.90 | 33.46 | 衢州市 | 0.39 | 58.90 | 40.70 |
苏州市 | 1.37 | 81.73 | 16.90 | 合肥市 | 50.04 | 40.48 | 9.48 |
常州市 | 5.32 | 52.18 | 42.50 | 芜湖市 | 51.38 | 31.59 | 17.04 |
徐州市 | 0.20 | 86.39 | 13.41 | 马鞍山市 | 52.57 | 30.40 | 17.03 |
南通市 | 0.06 | 91.82 | 8.12 | 滁州市 | 0.56 | 98.74 | 0.69 |
镇江市 | 1.99 | 67.25 | 30.76 | 铜陵市 | 0.51 | 91.42 | 8.07 |
扬州市 | 0.06 | 87.71 | 12.24 | 安庆市 | 2.27 | 55.99 | 41.74 |
盐城市 | 0.39 | 97.07 | 2.54 | 池州市 | 0.37 | 98.61 | 1.02 |
泰州市 | 0.09 | 69.15 | 30.76 | 宣城市 | 0.08 | 97.18 | 2.74 |
宿迁市 | 0.24 | 97.34 | 2.42 | 阜阳市 | 0.57 | 29.65 | 69.78 |
淮安市 | 0.18 | 96.36 | 3.46 | 蚌埠市 | 0.47 | 90.00 | 9.53 |
连云港市 | 0.12 | 95.43 | 4.45 | 淮北市 | 1.52 | 88.54 | 9.94 |
杭州市 | 5.86 | 31.98 | 62.16 | 亳州市 | 0.35 | 95.49 | 4.15 |
宁波市 | 0.89 | 60.32 | 38.79 | 淮南市 | 22.10 | 71.78 | 6.12 |
嘉兴市 | 0.14 | 84.36 | 15.50 | 六安市 | 9.73 | 89.92 | 0.35 |
湖州市 | 0.18 | 80.76 | 19.06 | 黄山市 | 0.90 | 97.84 | 1.26 |
绍兴市 | 0.11 | 85.76 | 14.13 | 宿州市 | 0.96 | 96.52 | 2.51 |
金华市 | 0.32 | 28.82 | 70.86 | 江苏均值 | 2.27 | 78.66 | 19.08 |
台州市 | 1.61 | 82.19 | 16.20 | 浙江均值 | 1.17 | 68.84 | 30.00 |
温州市 | 2.38 | 72.61 | 25.01 | 安徽均值 | 12.15 | 75.26 | 12.59 |
Tab.3 Absolute contribution rate of driving effect of urban resource and environmental pressure change in the Yangtze River Delta
城市 | 绝对贡献率/% | 城市 | 绝对贡献率/% | ||||
---|---|---|---|---|---|---|---|
人口效应 | 经济效应 | 技术效应 | 人口效应 | 经济效应 | 技术效应 | ||
上海市 | 30.02 | 51.07 | 18.91 | 舟山市 | 0.01 | 88.39 | 11.59 |
南京市 | 9.81 | 43.22 | 46.97 | 丽水市 | 0.92 | 83.13 | 15.95 |
无锡市 | 9.64 | 56.90 | 33.46 | 衢州市 | 0.39 | 58.90 | 40.70 |
苏州市 | 1.37 | 81.73 | 16.90 | 合肥市 | 50.04 | 40.48 | 9.48 |
常州市 | 5.32 | 52.18 | 42.50 | 芜湖市 | 51.38 | 31.59 | 17.04 |
徐州市 | 0.20 | 86.39 | 13.41 | 马鞍山市 | 52.57 | 30.40 | 17.03 |
南通市 | 0.06 | 91.82 | 8.12 | 滁州市 | 0.56 | 98.74 | 0.69 |
镇江市 | 1.99 | 67.25 | 30.76 | 铜陵市 | 0.51 | 91.42 | 8.07 |
扬州市 | 0.06 | 87.71 | 12.24 | 安庆市 | 2.27 | 55.99 | 41.74 |
盐城市 | 0.39 | 97.07 | 2.54 | 池州市 | 0.37 | 98.61 | 1.02 |
泰州市 | 0.09 | 69.15 | 30.76 | 宣城市 | 0.08 | 97.18 | 2.74 |
宿迁市 | 0.24 | 97.34 | 2.42 | 阜阳市 | 0.57 | 29.65 | 69.78 |
淮安市 | 0.18 | 96.36 | 3.46 | 蚌埠市 | 0.47 | 90.00 | 9.53 |
连云港市 | 0.12 | 95.43 | 4.45 | 淮北市 | 1.52 | 88.54 | 9.94 |
杭州市 | 5.86 | 31.98 | 62.16 | 亳州市 | 0.35 | 95.49 | 4.15 |
宁波市 | 0.89 | 60.32 | 38.79 | 淮南市 | 22.10 | 71.78 | 6.12 |
嘉兴市 | 0.14 | 84.36 | 15.50 | 六安市 | 9.73 | 89.92 | 0.35 |
湖州市 | 0.18 | 80.76 | 19.06 | 黄山市 | 0.90 | 97.84 | 1.26 |
绍兴市 | 0.11 | 85.76 | 14.13 | 宿州市 | 0.96 | 96.52 | 2.51 |
金华市 | 0.32 | 28.82 | 70.86 | 江苏均值 | 2.27 | 78.66 | 19.08 |
台州市 | 1.61 | 82.19 | 16.20 | 浙江均值 | 1.17 | 68.84 | 30.00 |
温州市 | 2.38 | 72.61 | 25.01 | 安徽均值 | 12.15 | 75.26 | 12.59 |
类型 | 城市 |
---|---|
经济主导型 | 苏州、徐州、南通、扬州、盐城、宿迁、淮安、连云港、嘉兴、湖州、绍兴、舟山、台州、丽水、滁州、铜陵、池州、宣城、蚌埠、淮北、亳州、六安、黄山、宿州 |
经济+技术驱动型 | 南京、无锡、常州、镇江、泰州、杭州、宁波、金华、温州、衢州、铜陵、安庆、阜阳 |
经济+人口驱动型 | 上海、合肥、芜湖、马鞍山、淮南 |
Tab.4 Pressure driving types of urban resource and environment pressure in the Yangtze River Delta
类型 | 城市 |
---|---|
经济主导型 | 苏州、徐州、南通、扬州、盐城、宿迁、淮安、连云港、嘉兴、湖州、绍兴、舟山、台州、丽水、滁州、铜陵、池州、宣城、蚌埠、淮北、亳州、六安、黄山、宿州 |
经济+技术驱动型 | 南京、无锡、常州、镇江、泰州、杭州、宁波、金华、温州、衢州、铜陵、安庆、阜阳 |
经济+人口驱动型 | 上海、合肥、芜湖、马鞍山、淮南 |
1 | 王芳. 事实与建构:转型加速期中国区域环境风险的社会学研究. 上海: 上海人民出版社,2018. |
WANG F. Fact and construction: Sociological research on regional environmental risks in China during the period of accelerating transformation. Shanghai: Shanghai People's Publishing House, 2018. | |
2 | OECD. Environmental indicators-development, measurement and use. Paris: OECD, 2003 |
3 | TAPIO P. Towards a theory of decoupling: Degree of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001. Journal of Transport Policy, 2005(12) :137-151. |
4 | 苑清敏, 邱静,秦聪聪. 天津市经济增长与资源和环境的脱钩关系及反弹效应研究. 资源科学, 2014, 36(5) : 954-962. |
YUAN Q, QIU J, QIN C. Decoupling relationship and rebound effect between economic growth and the resource environment for Tianjin. Resources Science, 2014, 36(5) : 954-962. | |
5 | 钟太洋, 黄贤金, 王柏源. 经济增长与建设用地扩张的脱钩分析. 自然资源学报, 2010, 25(1): 18-31. |
ZHONG T, HUANG X, WANG B. On the degree of decoupling and recoupling of economic growth and expansion of construction land in China from 2002 to 2007. Journal of Natural Resources, 2010, 25(1): 18-31 | |
6 | 杨振华, 苏维词, 赵卫权. 岩溶地区水资源与经济发展脱钩分析. 经济地理, 2016, 36(10): 159-165. |
YANG Z, SU W, ZHAO W. Decoupling analysis of urban water resources and economic development based on water ecological footprint. Economic Geography, 2016, 36(10):159-165. | |
7 | SOYTASA U, SARI R, EWING B. Energy consumption, income and carbon emissions in the US. Ecological Economics, 2007(62) : 482- 489. |
8 | DONG B, ZHANG M, MU H, et al. Study on decoupling analysis between energy consumption and economic growth in Liaoning province. Energy Policy, 2016(97):414-420. |
9 | 李坦, 王静, 张庆国, 等. 合肥市生态足迹时空特征与脱钩效应变化及灰色预测分析. 生态学报, 2019, 39(5): 1735-1747. |
LI T, WANG J, ZHANG Q, et al. Spatiotemporal characteristics of an ecological footprint, decoupling effect tendency, and grey prediction in Hefei city. Acta Ecologica Sinica, 2019, 39(5): 1735-1747. | |
10 | TUOMAS M. Any sustainable decoupling in the Finnish economy? A comparison of the pathways and sensitivities of GDP and ecological footprint 2002-2005. Ecological Indicators, 2011(16): 128-134. |
11 | 夏勇, 钟茂初. 经济发展与环境污染脱钩理论及EKC假说的关系——兼论中国地级城市的脱钩划分. 中国人口·资源与环境, 2016, 26(10):8-16. |
XIA Y, ZHONG M. Relationship between EKC hypothesis and the decoupling of environmental pollution from economic development: Based on China prefecture-level cities' decoupling partition. China Population,Resources and Environment, 2016, 26(10):8-16. | |
12 | 蒋惠凤. 江苏省废污水排放驱动因素及脱钩效应——基于STIRPAT模型和OECD脱钩指数的研究. 中国农业资源与区划, 2016, 37(12): 43-49+77. |
JIANG H. Drivers of effluent sewage and decoupling effect in Jiangsu province: Based on STIRPAT model and OECD decoupling index. Chinese Journal of Agricultural Resources and Regional Planning, 2016, 37(12): 43-49+77. | |
13 | WANG H, HASHIMOTO S, YUE Q, et.al. Decoupling analysis of four selected countries.Journal of Industrial Ecology, 2013, 17 (4) :618-629. |
14 | 白娟. 交通运输业碳排放脱钩效应及其脱钩路径分析.西安: 长安大学, 2017. |
BAI J. Decoupling effect of carbon emission from transportation industry and its decoupling path analysis. Xi'an: Chang'an University, 2017. | |
15 | 王琦, 李金叶, 何昭丽. 新疆旅游业碳排放测算与脱钩关系研究. 生态经济, 2018, 34(1): 25-30. |
WANG Q, LI J, HE Z. The study of measurement and calculation of carbon emission and decoupling relationship of tourism industry in Xinjiang. Ecological Economy, 2018, 34(1): 25-30. | |
16 | VEHMAS J, KAIVO-OJA J, LUUKKANEN J. Comparative de-link and re-link analysis of material flows in EU-15 member countries. Wuppertal: Con Account Conference, 2003. |
17 | 盖美, 胡杭爱, 柯丽娜. 长江三角洲地区资源环境与经济增长脱钩分析. 自然资源学报, 2013, 28(2): 185- 198. |
GAI M, HU H, KE L. Decoupling Analysis between economic development and resources and environmental of the Yangtze River Delta. Journal of Natural Resources, 2013, 28(2): 185-198. | |
18 | SCHANDL H, HATFIELD-DODDS S, WIEDMANN T, et al. Decoupling global environmental pressure and economic growth: Scenarios for energy use, materials use and carbon emissions. Journal of Cleaner Production, 2016(132): 45-56. |
19 | 胡美娟, 李在军, 丁正山, 等. 泛长三角城市资源环境压力演化特征及门槛效应. 地理科学, 2020, 40(5): 701-709. |
HU M, LI Z, DING Z, et al. The Evolution Characteristics and Threshold Effects of the Resource and Environmental Pressure in the Pan-Yangtze River Delta Cities. Scientia Geographica Sinica, 2020, 40(5): 701-709. | |
20 | 李健, 王尧, 王颖. 京津冀区域经济发展与资源环境的脱钩状态及驱动因素. 经济地理, 2019, 39(4): 43-49. |
LI J, WANG Y, WANG Y. Decoupling analysis and influence factors between resource environment and economic growth in Beijing-Tianjin-Hebei region. Economic Geography, 2019, 39(4): 43-49. | |
21 | 周笑, 王鹏飞. 中国工业发展的资源环境压力空间分异演化及影响因素. 地理研究, 2018, 37(8): 1541-1557. |
ZHOU X, WANG P. Spatial evolution and influencing factors of industrial resources and environmental pressures in Chinese cities. Geographical Research, 2018, 37(8): 1541-1557. | |
22 | 郭莎莎, 陈明星, 刘慧. 城镇化与资源环境的耦合过程与解耦分析——以北京为例. 地理研究, 2018, 37(8): 1599-1608. |
GUO S, CHEN M, LIU H. Coupling procedure and decoupling analysis of urbanization and resource environment: The study of Beijing. Geographical Research, 2018, 37(8): 1599-1608. | |
23 | 钟太洋, 黄贤金, 韩立, 等. 资源环境领域脱钩分析研究进展. 自然资源学报, 2010, 25(8): 1400-1412. |
ZHOGN T, HUANG X, HAN L, et al. Review on the research of decoupling analysis in the field of environments and resource. Journal of Natural Resources, 2010, 25(8): 1400-1412. | |
24 | CHEN M, LU D, ZHA L. The comprehensive evaluation of China's urbanization and effects on resources and environment. Journal of Geographical Sciences, 2010, 20(1): 17-30. |
25 | Nordic Council of Ministers. Measuring sustainability and decoupling: A survey of methodology and practice. Copenhagen: Nordic Council of Ministers, 2006: 43-44. |
[1] | Xiang KONG, Kaihang CHEN, Yiman LI. The temporal and spatial evolution of market segmentation and its spatial spillover in the Yangtze River Delta Region [J]. World Regional Studies, 2022, 31(4): 827-836. |
[2] | Peiping GONG, Chao JIANG. The effect and mediating path of the "Belt & Road Initiative" (BRI) on the economic growth of BRI countries [J]. World Regional Studies, 2021, 30(3): 465-477. |
[3] | Jie WANG, Zhiguo LI, Jijian GU. Decoupling analysis between energy consumption and economic growth in BRICS countries: Based on Tapio decoupling and LMDI model analysis [J]. World Regional Studies, 2021, 30(3): 501-508. |
[4] | ZHENG Ziyan, QIU Fangdao, WANG Litao. The difference of the contribution of industrial structure transformation to economic growth of renewable resource-based cities in China [J]. WRS, 2019, 28(4): 115-123. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||