地理科学 ›› 2022, Vol. 42 ›› Issue (1): 74-82.doi: 10.13249/j.cnki.sgs.2022.01.007
徐维祥1(), 郑金辉1,*(
), 王睿1, 周建平1, 胡豹2, 刘程军1,3
收稿日期:
2020-09-21
修回日期:
2021-02-05
出版日期:
2022-01-10
发布日期:
2022-03-21
通讯作者:
郑金辉
E-mail:xwq02@163.com;852808422@qq.com
作者简介:
徐维祥(1963-),男,浙江东阳人,教授,博导,研究方向为产业集聚与区域经济学。E-mail: xwq02@163.com
基金资助:
Xu Weixiang1(), Zheng Jinhui1,*(
), Wang Rui1, Zhou Jianping1, Hu Bao2, Liu Chengjun1,3
Received:
2020-09-21
Revised:
2021-02-05
Online:
2022-01-10
Published:
2022-03-21
Contact:
Zheng Jinhui
E-mail:xwq02@163.com;852808422@qq.com
Supported by:
摘要:
基于非期望产出视角测度黄河流域城市生态效率,探讨2003—2017年黄河流域城市生态效率时空演化特征及资源禀赋的门槛效应。结果表明:① 黄河流域城市生态效率呈稳步上升态势,但全域和资源型城市表现出一定梯度效应,有两极分化现象;② 各城市生态效率总体呈东高西低、南高北低格局,并存在显著空间溢出效应,不同类型城市演化存在显著的时空惯性。③ 资源禀赋存在显著门槛效应,资源型城市生产性服务业集聚与生态效率呈“U”型关系,制造业集聚在跨过门槛值后会产生抑制作用,产业协同集聚则始终具有正向作用;非资源型城市资源禀赋会削弱生产性服务业集聚的促进作用,制造业集聚及产业协同集聚的影响跨过门槛值后不显著。
中图分类号:
徐维祥, 郑金辉, 王睿, 周建平, 胡豹, 刘程军. 黄河流域城市生态效率演化特征及门槛效应[J]. 地理科学, 2022, 42(1): 74-82.
Xu Weixiang, Zheng Jinhui, Wang Rui, Zhou Jianping, Hu Bao, Liu Chengjun. The Evolution Characteristics and Threshold Effects of the Ecological Efficiency in the Yellow River Basin Cities[J]. SCIENTIA GEOGRAPHICA SINICA, 2022, 42(1): 74-82.
表1
黄河流域城市生态效率空间马尔科夫转移矩阵
相邻 类型 | 本市 类型 | 2003—2010年 | 2010—2017年 | 2003—2017年 | |||||||||||
1 | 2 | 3 | 4 | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4 | ||||
注:1为低效率;2为中低效率;3为中高效率;4为高效率。 | |||||||||||||||
1 | 1 | 0.8611 | 0.1278 | 0.0000 | 0.0111 | 0.7534 | 0.2466 | 0.0000 | 0.0000 | 0.8191 | 0.1741 | 0.0000 | 0.0068 | ||
2 | 0.0672 | 0.8235 | 0.0756 | 0.0336 | 0.1000 | 0.9000 | 0.0000 | 0.0000 | 0.0945 | 0.8000 | 0.0764 | 0.0291 | |||
3 | 0.0000 | 0.2222 | 0.5000 | 0.2778 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0204 | 0.2041 | 0.4286 | 0.3469 | |||
4 | 0.0833 | 0.0000 | 0.3333 | 0.5833 | 0.0000 | 1.0000 | 0.0000 | 0.0000 | 0.0732 | 0.1707 | 0.2927 | 0.4634 | |||
2 | 1 | 0.6508 | 0.3492 | 0.0000 | 0.0000 | 0.7000 | 0.3000 | 0.0000 | 0.0000 | 0.6494 | 0.3506 | 0.0000 | 0.0000 | ||
2 | 0.0720 | 0.8640 | 0.0480 | 0.0160 | 0.0625 | 0.7981 | 0.1058 | 0.0337 | 0.0482 | 0.8394 | 0.0763 | 0.0361 | |||
3 | 0.0000 | 0.0556 | 0.0556 | 0.3333 | 0.0179 | 0.2321 | 0.4464 | 0.3036 | 0.0000 | 0.1452 | 0.5806 | 0.2742 | |||
4 | 0.0000 | 0.0000 | 0.4545 | 0.5455 | 0.0417 | 0.1458 | 0.2708 | 0.5417 | 0.0000 | 0.1087 | 0.3478 | 0.5435 | |||
3 | 1 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.6757 | 0.3243 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | ||
2 | 0.0000 | 1.0000 | 0.0000 | 0.0000 | 0.1029 | 0.7794 | 0.0588 | 0.0588 | 0.0000 | 0.9231 | 0.0769 | 0.0000 | |||
3 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.1000 | 0.6000 | 0.3000 | 0.0000 | 1.0000 | 0.0000 | 0.0000 | |||
4 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.2667 | 0.4000 | 0.3333 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | |||
4 | 1 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 1.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | ||
2 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | |||
3 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | |||
4 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
表2
资源型城市门槛变量的门槛值估计与检验
变量 | 检验 | 门槛值 | P值 | 95%置信区间 | 变量值 | 弹性系数 | t值 |
注:***、**和*分别表示在1%,5%和10%水平下显著;—表示三门槛检验不显著;psag、mag、coag分别为生产性服务业集聚、制造业集聚、生产性服务业与制造业的协同集聚指数;re为资源禀赋水平。 | |||||||
psag | 单门槛 | 0.320 | 0.012 | [0.311,0.325] | re≤0.320 | 0.079*** | 2.64 |
双门槛 | 1.783 | 0.070 | [1.569,1.790] | 0.320<re≤1.783 | -0.031* | -1.78 | |
三门槛 | — | — | — | re>1.783 | 0.033** | 1.97 | |
mag | 单门槛 | 0.179 | 0.036 | [0.177,0.179] | re≤0.179 | 0.069** | 1.98 |
双门槛 | 7.433 | 0.493 | [1.056,7.732] | re>0.179 | -0.334*** | -2.62 | |
coag | 单门槛 | 0.179 | 0.023 | [0.167,0.179] | re≤0.179 | 0.081*** | 2.68 |
双门槛 | 7.149 | 0.767 | [7.029,7.433] | re>0.179 | 0.055** | 2.37 |
表3
非资源型城市门槛变量的门槛值估计与检验
变量 | 检验 | 门槛值 | P值 | 95%置信区间 | 变量值 | 弹性系数 | t值 |
注:***、**和*分别表示在1%,5%和10%水平下显著;—表示三门槛检验不显著;psag、mag、coag分别为生产性服务业集聚、制造业集聚、生产性服务业与制造业的协同集聚指数;re为资源禀赋水平。 | |||||||
psag | 单门槛 | 0.013 | 0.043 | [0.311,0.325] | re≤0.013 | 0.087*** | 2.59 |
双门槛 | 0.032 | 0.037 | [0.026,0.033] | 0.013<re≤0.032 | 0.004** | 2.07 | |
三门槛 | — | — | — | re>0.032 | 0.100* | 1.87 | |
mag | 单门槛 | 0.032 | 0.041 | [0.025,0.033] | re≤0.032 | -0.121*** | -2.99 |
双门槛 | 0.507 | 0.050 | [0.444,0.564] | 0.032<re≤0.507 | 0.068*** | 2.75 | |
三门槛 | — | — | — | re>0.507 | 0.047 | 0.98 | |
coag | 单门槛 | 0.032 | 0.020 | [0.027,0.033] | re≤0.032 | 0.033*** | 2.95 |
双门槛 | 0.507 | 0.031 | [0.479,0.564] | 0.032<re≤0.507 | 0.006 | 0.18 | |
三门槛 | — | — | — | re>0.507 | 0.059 | 1.52 |
[1] | 樊杰, 王亚飞, 王怡轩. 基于地理单元的区域高质量发展研究——兼论黄河流域同长江流域发展的条件差异及重点[J]. 经济地理, 2020, 40(1): 1-11. |
Fan Jie, Wang Yafei, Wang Yixuan. High quality regional development research based on geographical units: Discuss on the difference in development conditions and priorities of the Yellow River Basin compared to the Yangtze River Basin. Economic Geography, 2020, 40(1): 1-11. | |
[2] | 胡熠娜, 彭建, 刘焱序, 等. 区域生态效率研究进展[J]. 生态学报, 2018, 38(23): 8277-8284. |
Hu Yina, Peng Jian, Liu Yanxu et al. Review on regional eco-efficiency research. Acta Ecologica Sinica, 2018, 38(23): 8277-8284. | |
[3] | 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[J]. 地理科学, 2020, 40(5): 701-709. |
Hu Meijuan, Li Zaijun, Ding Zhengshan 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. | |
[4] |
Schandl H, Hatfield D S, Wiedmann T et al. Decoupling global environmental pressure and economic growth: Scenarios for energy use, materials use and carbon emissions[J]. Journal of Cleaner Production, 2016, 132: 45-56.
doi: 10.1016/j.jclepro.2015.06.100 |
[5] | Zeng D Z, Zhao L X. Pollution Havens and industrial agglomeration[J]. Journal of Environmental Economics and Management, 2009(58): 141-153. |
[6] |
Simonen J, Rauli S, Juutinen A. Specialization and diversity as drives of economic growth: Evidence from high-tech industries[J]. Papers in Regional Science, 2015, 94(2): 229-247.
doi: 10.1111/pirs.12062 |
[7] | 张新林, 仇方道, 谭俊涛, 等. 中国工业生态效率时空分异特征及其影响因素解析[J]. 地理科学, 2020, 40(3): 335-343. |
Zhang Xinlin, Qiu Fangdao, Tan Juntao et al. Spatial pattern change and influencing factors of China’s industrial eco-efficiency. Scientia Geographica Sinica, 2020, 40(3): 335-343. | |
[8] |
Behrens K, Duranton G, Robert Nicoud F. Productive cities: Soring, selection, and agglomeration[J]. Journal of Political Economy, 2014, 122(3): 507-553.
doi: 10.1086/675534 |
[9] | Arabi B, Munisamy S, Emrouznejad et al. Power industry restructuring and eco-efficency changes: A new slacks-based model in Malmquist-luenberger index measurement[J]. Energy Policy, 2014(68): 132-145. |
[10] |
侯孟阳, 姚顺波. 1978—2016年中国农业生态效率时空演变及趋势预测[J]. 地理学报, 2018, 73(11): 2168-2183.
doi: 10.11821/dlxb201811009 |
Hou Mengyang, Yao Shunbo. Spatial-temporal evolution and trend prediction of agricultural eco-efficiency in China: 1978-2016. Acta Geographica Sinica, 2018, 73(11): 2168-2183.
doi: 10.11821/dlxb201811009 |
|
[11] | 盖美, 展亚荣. 中国沿海省区海洋生态效率空间格局演化及影响因素分析[J]. 地理科学, 2019, 39(4): 616-625. |
Gai Mei, Zhan Yarong. Spatial evolution of marine ecological efficiency and its influential factors in China coastal regions. Scientia Geographica Sinica, 2019, 39(4): 616-625. | |
[12] | 杨勇, 邓祥征. 中国城市生态效率时空演变及影响因素的区域差异[J]. 地理科学, 2019, 39(7): 1111-1118. |
Yang Yong, Deng Xiangzheng. The spatio-temporal evolutionary characteristics and regional differences in affecting factors analysis of China's urban eco-efficiency. Scientia Geographica Sinica, 2019, 39(7): 1111-1118. | |
[13] | 李虹, 邹庆. 环境规制、资源禀赋与城市产业转型研究——基于资源型城市与非资源型城市的对比分析[J]. 经济研究, 2018(11): 182-198. |
Li Hong, Zou Qing. Environmental regulations, resource endowments and urban industry transformation: Comparative analysis of resource-based and non-resource-based cities. Economic Research Journal, 2018(11): 182-198. | |
[14] |
韩峰, 阳立高. 生产性服务业集聚如何影响制造业结构升级?——一个集聚经济与熊彼特内生增长理论的综合框架[J]. 管理世界, 2020(2): 72-94+219.
doi: 10.3969/j.issn.1002-5502.2020.02.008 |
Han Feng, Yang Ligao. How does the agglomeration of producer services affect the upgrading of manufacturing structure: A comprehensive framework of agglomeration economy and Schumpeter’s endogenous growth theory. Management World, 2020(2): 72-94+219.
doi: 10.3969/j.issn.1002-5502.2020.02.008 |
|
[15] | 陈国亮, 唐根年. 基于互联网视角的二三产业空间非一体化研究——来自长三角城市群的经验证据[J]. 中国工业经济, 2016(8): 76-92. |
Chen Guoliang, Tang Gennian. Research on spatial non-integration of manufacturing and producer services based on the perspective of the Internet: Evidence from Yangtze River Delta. China Industrial Economics, 2016(8): 76-92. | |
[16] | 国家统计局. 中国城市统计年鉴(2004-2018)[M]. 北京: 中国统计出版社, 2004-2018. |
National Bureau of Statistics of China. China city statistical yearbook. Beijing: China Statistics Press, 2004-2018. | |
[17] | 国家统计局. 中国统计年鉴[M]. 北京: 中国统计出版社, 2004-2018. |
National Bureau of Statistics of China. China statistical yearbook. Beijing: China Statistics Press, 2004-2018. | |
[18] |
Tone K. A slacks-based measure of efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2001, 130(3): 498-509.
doi: 10.1016/S0377-2217(99)00407-5 |
[19] | 李菁, 胡碧霞, 匡兵. 绿色发展理念下城市土地利用效率差异的演进特征及影响因素[J]. 经济地理, 2018, 38(12): 183-189. |
Li Jing, Hu Bixia, Kuang Bing. Evolution characteristics and influencing factors of urban land use efficiency difference under the concept of green gevelopment. Economic Geography, 2018, 38(12): 183-189. | |
[20] |
Le Gallo J. Space-time analysis of GDP disparities among European regions: A Markov chains approach[J]. International Regional Science Review, 2004, 27(2): 138-163.
doi: 10.1177/0160017603262402 |
[21] | Hansen B E. Threshold effects in non-dynamic panels: Estimation, testing, and inference[J]. Journal of Econometrics, 1999(93): 345-368. |
[22] | 陈建军, 刘月, 邹苗苗. 产业协同集聚下的城市生产效率增进——基于融合创新与发展动力转换背景[J]. 浙江大学学报 (人文社会科学版), 2016(5): 150-163. |
Chen Jianjun, Liu Yue, Zou Miaomiao. The improvement of city production based on synergy and co-agglomeration of industries: Under the background of integration innovation and conversion of driving force for economic development in China. Journal of Zhejiang University (Humanities and Social Sciences), 2016(5): 150-163. | |
[23] | 康蕾, 宋周莺. 中国区域投入产出效率的研究框架与实证分析[J]. 地理科学, 2020, 40(11): 1868-1877. |
Kang Lei, Song Zhouying. Research framework and empirical study of input-output efficiency of resources and environment in China. Scientia Geographica Sinica, 2020, 40(11): 1868-1877. |
[1] | 赵宏波, 岳丽, 刘雅馨, 董冠鹏, 苗长虹. 高质量发展目标下黄河流域城市居民生活质量的时空格局及障碍因子[J]. 地理科学, 2021, 41(8): 1303-1313. |
[2] | 曾刚, 胡森林. 技术创新对黄河流域城市绿色发展的影响研究[J]. 地理科学, 2021, 41(8): 1314-1323. |
[3] | 莫惠斌, 王少剑. 黄河流域县域碳排放的时空格局演变及空间效应机制[J]. 地理科学, 2021, 41(8): 1324-1335. |
[4] | 梁流涛, 杨泞溪, 区志源, 王森, 史茵茵, 陈笑, 孙玙璠. 黄河流域城镇土地经济密度多尺度空间格局及影响因素分析[J]. 地理科学, 2021, 41(8): 1336-1344. |
[5] | 胡志强, 苗长虹, 熊雪蕾, 李瑞洋, 冯丽荟. 产业集聚对黄河流域工业韧性的影响研究[J]. 地理科学, 2021, 41(5): 824-831. |
[6] | 王圣云, 林玉娟. 中国区域农业生态效率空间演化及其驱动因素——水足迹与灰水足迹视角[J]. 地理科学, 2021, 41(2): 290-301. |
[7] | 李林山, 赵宏波, 郭付友, 王宇. 黄河流域城市群产业高质量发展时空格局演变研究[J]. 地理科学, 2021, 41(10): 1751-1762. |
[8] | 滕堂伟, 谌丹华, 胡森林. 黄河流域空气污染的空间格局演化及影响因素[J]. 地理科学, 2021, 41(10): 1852-1861. |
[9] | 郭艳花, 梅林, 佟连军. 产业集聚对绿色发展效率的影响机制[J]. 地理科学, 2020, 40(9): 1484-1492. |
[10] | 汪艳涛, 张娅娅. 生态效率区域差异及其与产业结构升级交互空间溢出效应[J]. 地理科学, 2020, 40(8): 1276-1284. |
[11] | 胡美娟, 李在军, 丁正山, 周年兴, 郭向阳, 李欣. 泛长三角城市资源环境压力演化特征及门槛效应[J]. 地理科学, 2020, 40(5): 701-709. |
[12] | 唐承丽, 陈伟杨, 吴佳敏, 周国华, 王美霞, 郭夏爽. 长江经济带开发区空间分布与产业集聚特征研究[J]. 地理科学, 2020, 40(4): 657-664. |
[13] | 张新林, 仇方道, 谭俊涛, 王长建. 中国工业生态效率时空分异特征及其影响因素解析[J]. 地理科学, 2020, 40(3): 335-343. |
[14] | 范斐, 连欢, 王雪利, 王嵩. 区域协同创新对创新绩效的影响机制研究[J]. 地理科学, 2020, 40(2): 165-172. |
[15] | 刘敏, 姜会明, 姜天龙. 农机投入对农业GTFP影响及门槛效应的区域差异分析[J]. 地理科学, 2020, 40(12): 2037-2045. |
|