多源数据视角下山东省限制开发区产业生态转型的时空异质性识别

doi:10.13249/j.cnki.sgs.2022.11.008

Abstract

Abstract:

The comprehensive evaluation of industrial ecological developing transformation and the diagnosis of obstacle factors for the restricted development zone of Shandong Province are important basis for promoting the conversion of new and old kinetic energy and regional sustainable development in Shandong Province. Based on the scientific connotation of industrial ecological transformation, this article constructed a measurement framework and model from two aspects of the development status and the transformation extent, and then evaluated the spatial-temporal evolution pattern and influencing factors of industrial ecological transformation performance in the restricted development zone from 2006 to 2018. The results show that: 1) The development status rises first and then declines during the study period, and the total level of development status changes not obvious indicating that the industrial ecology development in the restricted development zone is characterized by robustness; the proportion of counties with excellent and poor transformation extent remains stable at about 50%, it reflects that the intensive and connotative industrial development path has obtained certain results in recent years, while it also has not yet changed the essence of negative interactions between the industrial system and the ecological environment in the restricted development zone. 2) In general, the performance of industrial ecological transformation makes a little progress within the study period, and the spatial distribution of it is higher in the east of Shandong and lower in the west, this polarized development pattern has become more prominent over time; in addition, the industrial ecology development status has made a greater contribution to the improvement of transformation performance, and the transformation extent has not yet been an important driving role. 3) The main obstacle factors affecting the process of industrial ecological transformation are general budgetary revenue of local finance, the greening area, urban and rural household savings deposits, total retail sales of consumer goods and dependence on foreign investment.

Key words: industrial ecological transformation, performance assessment, obstacle factors, restricted development zone

CLC Number:

F127

Guo Fuyou, Gao Siqi, Zhang Quanjing, Zhang Yanjun, Jiang Zhengju. Spatio-temporal Heterogeneity Characteristics of Industrial Ecological Transformation in Restricted Development Zones of Shandong from the Perspective of Multi-source Data[J].SCIENTIA GEOGRAPHICA SINICA, 2022, 42(11): 1932-1942.

Figures/Tables 9

Fig. 1

Fig. 2

Table 1

Table 2

Fig. 3

Fig. 4

Fig. 5

Table 3

Table 4

References 30

[1]	何维达, 付瑶, 陈琴. 产业结构变迁对经济增长质量的影响[J]. 统计与决策, 2020, 36(19): 101-105 doi: 10.13546/j.cnki.tjyjc.2020.19.022
	He Weida, Fu Yao, Chen Qin. The impact of industrial structure changes on the quality of economic growth. Statistics & Decision, 2020, 36(19): 101-105 doi: 10.13546/j.cnki.tjyjc.2020.19.022
[2]	郭付友, 吕晓, 于伟, 等. 山东省绿色发展水平绩效评价与驱动机制——基于17地市面板数据[J]. 地理科学, 2020, 40(2): 200-210
	Guo Fuyou, Lyu Xiao, Yu Wei et al. Performance evaluation and driving mechanism of green development in Shandong Province based on panel data of 17 cities[J]. Scientia Geographica Sinica, 2020, 40(2): 200-210
[3]	李国平, 黄国勇. 产业转型的国内研究综述[J]. 山西财经大学学报, 2006, 28(2): 54-58 doi: 10.3969/j.issn.1007-9556.2006.02.010
	Li Guoping, Huang Guoyong. National research statement of industry transition. Journal of Shanxi University of Finance and Economics, 2006, 28(2): 54-58 doi: 10.3969/j.issn.1007-9556.2006.02.010
[4]	黄天能, 李江风, 许进龙, 等. 资源枯竭城市转型发展绩效评价及障碍因子诊断——以湖北大冶为例[J]. 自然资源学报, 2019, 34(7): 1417-1428 doi: 10.31497/zrzyxb.20190706
	Huang Tianneng, Li Jiangfeng, Xu Jinlong et al. The rational assessment of developing transformation and obstacle diagnosis for resources exhausted cities: A case study of Daye, Hubei. Journal of Natural Resources, 2019, 34(7): 1417-1428 doi: 10.31497/zrzyxb.20190706
[5]	盖美, 张福祥. 辽宁省区域碳排放−经济发展−环境保护耦合协调分析[J]. 地理科学, 2018, 38(5): 764-772
	Gai Mei, Zhang Fuxiang. Regional carbon emissions, economic development andenvironmental protection coupling in Liaoning Province. Scientia Geographica Sinica, 2018, 38(5): 764-772
[6]	李姣, 周翠烟, 张灿明, 等. 基于生态足迹的湖南省洞庭湖生态经济区全要素生态效率研究[J]. 经济地理, 2019, 39(2): 199-206 doi: 10.15957/j.cnki.jjdl.2019.02.024
	Li Jiao, Zhou Cuiyan, Zhang Canming et al. Total-factor ecological efficiency of Dongting Lake Ecological and Economic Zone in Hunan Province on the basis of ecological footprint. Economic Geography, 2019, 39(2): 199-206 doi: 10.15957/j.cnki.jjdl.2019.02.024
[7]	Song T, Zheng T G, Tong L J. An empirical test of the environmental Kuznets curve in China: A panel cointegration approach[J]. China Economic Review, 2007, 19(3): 381-392
[8]	谭俊涛, 张新林, 刘雷, 等. 中国资源型城市转型绩效测度与评价[J]. 经济地理, 2020, 40(7): 57-64 doi: 10.15957/j.cnki.jjdl.2020.07.007
	Tan Juntao, Zhang Xinlin, Liu Lei et al. Research on the urban transformation performance of China’s resource-based cities. Economic Geography, 2020, 40(7): 57-64 doi: 10.15957/j.cnki.jjdl.2020.07.007
[9]	徐成龙, 庄贵阳. 供给侧改革驱动中国工业绿色发展的动力结构及时空效应[J]. 地理科学, 2018, 38(6): 849-858 doi: 10.13249/j.cnki.sgs.2018.06.003
	Xu Chenglong, Zhuang Guiyang. Dynamic structure and spatio-temporal effect of supply-side reform on industrial green development in China. Scientia Geographica Sinica, 2018, 38(6): 849-858 doi: 10.13249/j.cnki.sgs.2018.06.003
[10]	Wu C Y, Hu M C, Ni F C. Supporting a circular economy: Insights from Taiwan’s plastic waste sector and lessons for developing countries[J]. Sustainable Production and Consumption, 2020, 26: 228-238
[11]	耿凤娟, 苗长虹, 胡志强. 黄河流域工业结构转型及其对空间集聚方式的响应[J]. 经济地理, 2020, 40(6): 30-36 doi: 10.15957/j.cnki.jjdl.2020.06.004
	Geng Fengjuan, Miao Changhong, Hu Zhiqiang. Industrial structure transformation and its response to spatial agglomeration patterns in the Yellow River Basin. Economic Geography, 2020, 40(6): 30-36 doi: 10.15957/j.cnki.jjdl.2020.06.004
[12]	Lin C L. The analysis of sustainable development strategies for industrial tourism based on IOA-NRM approach[J]. Journal of Cleaner Production, 2019, 241: 1-20
[13]	Sun W, Li Y, Wang D et al. The efficiencies and their changes of China’s resources-based cities employing DEA and Malmquist index models[J]. Journal of Geographical Sciences, 2012, 22(3): 509-520 doi: 10.1007/s11442-012-0943-0
[14]	曾刚, 陆琳忆, 何金廖. 生态创新对资源型城市产业结构与工业绿色效率的影响[J]. 资源科学, 2021, 43(1): 94-103 doi: 10.18402/resci.2021.01.08
	Zeng Gang, Lu Linyi, He Jinliao. Impact of ecological innovation on the economic transformation of resource-based cities. Resources Science, 2021, 43(1): 94-103 doi: 10.18402/resci.2021.01.08
[15]	黄洁, 吝涛, 张宏强. 基于DEA和Malmquist模型的中国三大城市群可持续发展效率研究[J]. 中国人口·资源与环境, 2016, 26(5): 373-376
	Huang Jie, Lin Tao, Zhang Hongqiang. Sustainable development efficiency of three urban agglomerations in China: Based on DEA and Malmquist Model. China Population, Resources and Environment, 2016, 26(5): 373-376
[16]	郭付友, 佟连军, 刘志刚, 等. 山东省产业生态化时空分异特征与影响因素——基于17地市时空面板数据[J]. 地理研究, 2019, 38(9): 2226-2238 doi: 10.11821/dlyj020180474
	Guo Fuyou, Tong Lianjun, Liu Zhigang et al. Spatial-temporal pattern and influencing factors of industrial ecology in Shandong Province: Based on panel data of 17 cities. Geographical Research, 2019, 38(9): 2226-2238 doi: 10.11821/dlyj020180474
[17]	陈妍, 梅林, 程叶青. 环境规制、资源禀赋对东北地区产业转型的影响机制研究[J]. 资源与产业, 2020, 22(5): 1-10 doi: 10.13776/j.cnki.resourcesindustries.20200902.006
	Chen Yan, Mei Lin, Cheng Yeqing. Mechanism of environmental regulations and resource occurrences on industrial transfer in northeastern China. Resources & Industries, 2020, 22(5): 1-10 doi: 10.13776/j.cnki.resourcesindustries.20200902.006
[18]	张文忠, 余建辉, 李佳. 资源枯竭城市转型的驱动因素和机理解析[J]. 中国科学院院刊, 2016, 31(1): 92-100 doi: 10.16418/j.issn.1000-3045.2016.01.010
	Zhang Wenzhong, Yu Jianhui, Li Jia. Drive factors and mechanism of resource-exhausted city transformation. Bulletin of Chinese Academy of Sciences, 2016, 31(1): 92-100 doi: 10.16418/j.issn.1000-3045.2016.01.010
[19]	张倩, 吴梦瑒. 煤炭产业绿色转型与绿色技术创新协同发展研究[J]. 煤炭经济研究, 2016, 36(12): 28-32 doi: 10.13202/j.cnki.cer.2017.12.007
	Zhang Qian, Wu Mengyang. Study on collaborative development of green transformation in coal industry and green technology innovation. Coal Economic Research, 2016, 36(12): 28-32 doi: 10.13202/j.cnki.cer.2017.12.007
[20]	王亮, 宋周莺, 余金艳, 等. 资源型城市产业转型战略研究——以克拉玛依为例[J]. 经济地理, 2011, 31(8): 1277-1282 doi: 10.15957/j.cnki.jjdl.2011.08.007
	Wang Liang, Song Zhouying, Yu Jinyan et al. Strategic research on industrial transformation of resource-based cities: A case study on Kelamay. Economic Geography, 2011, 31(8): 1277-1282 doi: 10.15957/j.cnki.jjdl.2011.08.007
[21]	马丽. 基于产业环境耦合类型的沿海地区产业绿色转型路径研究[J]. 地理研究, 2018, 37(8): 1587-1598
	Ma Li. Green industrial transformation path of Chinese coastal areas based on coupling types of industrial development with environment. Geographical Research, 2018, 37(8): 1587-1598
[22]	樊杰. 地域功能−结构的空间组织途径——对国土空间规划实施主体功能区战略的讨论[J]. 地理研究, 2019, 38(10): 2373-2387 doi: 10.11821/dlyj020190865
	Fan Jie. Spatial organization pathway for territorial function-structure: Discussion on implementation of major function zoning strategy in territorial spatial planning. Geographical Research, 2019, 38(10): 2373-2387 doi: 10.11821/dlyj020190865
[23]	山东省统计局. 山东统计年鉴[M]. 北京: 中国统计出版社, 2007-2019.
	Shandong Provincial Bureau of Statistics of China. Shandong statistical yearbook. Beijing: China Statistics Press, 2007-2019.
[24]	余斌, 揭毅, 罗静, 等. 武汉城市圈产业发展的生态转型与空间优化[J]. 地理研究, 2010, 29(2): 313-326
	Yu Bin, Jie Yi, Luo Jing et al. Study on the ecological transition and spatial optimization of industrial development in Wuhan settlement groups. Geographical Research, 2010, 29(2): 313-326
[25]	郭付友, 佟连军, 魏强, 等. 松花江流域(吉林省段)产业系统生态效率时空分异特征与影响因素[J]. 地理研究, 2016, 35(8): 1483-1494
	Guo Fuyou, Tong Lianjun, Wei Qiang et al. Spatial-temporal differentiation and influencing factors of industrial system eco-efficiency in the Songhua River Basin of Jilin province. Geographical Research, 2016, 35(8): 1483-1494
[26]	余建辉, 张文忠, 王岱, 等. 资源枯竭城市转型成效测度研究[J]. 资源科学, 2013, 35(9): 1812-1820
	Yu Jianhui, Zhang Wenzhong, Wang Dai et al. The effect of resource-exhausted city transformation. Resources Science, 2013, 35(9): 1812-1820
[27]	陈明星, 陆大道, 张华. 中国城市化水平的综合测度及其动力因子分析[J]. 地理学报, 2009, 64(4): 387-398 doi: 10.3321/j.issn:0375-5444.2009.04.001
	Chen Mingxing, Lu Dadao, Zhang Hua. Comprehensive evaluation and the driving factors of China’s urbanization. Acta Geographica Sinica, 2009, 64(4): 387-398 doi: 10.3321/j.issn:0375-5444.2009.04.001
[28]	徐新良, 刘纪远, 张树文, 等. 中国多时期土地利用土地覆被遥感监测数据集(CNLUCC)[Z]. 中国科学院资源环境科学数据中心数据注册与出版系统(http: //www. resdc. cn/DOI), 2018.
	Xu Xinliang, Liu Jiyuan, Zhang Shuwen et al. Remote sensing monitoring data set of land use and land cover in China(CNLUCC). Data registration and publishing system of resource and environment science data center of Chinese Academy of Sciences(http://www.resdc.cn/DOI),2018.
[29]	徐新良. 中国年度植被指数空间分布数据集[Z]. 中国科学院资源环境科学数据中心数据注册与出版系统(http: //www. resdc. cn/DOI), 2018.
	Xu Xinliang. Spatial distribution data set of annual vegetation index in China. Data registration and publishing system of resource and environment science data center of Chinese Academy of Sciences (http://www.resdc.cn/DOI),2018.
[30]	国家统计局. 中国县域统计年鉴[M]. 北京: 中国统计出版社, 2007-2019.
	National Bureau of Statistics. China statistical yearbook (county-level). Beijing: China Statistics Press, 2007-2019.

系统层（权重）	准则层变量（权重）	指标层	指标意义	权重
产业发展态势A （0.1931）	产业运行A₁（0.1470）	GDP增长率 A₁₁	反映经济增长水平	0.0153
		外资依存度 A₁₂	反映外资利用水平	0.1114
		固定资产投资总额 A₁₃	反映投资强度	0.0202
	产业结构A₂（0.0461）	农业/林业经济占GDP比重 A₂₁	反映第一产业发展水平	0.0378
	产业结构A₂（0.0461）	二三产业增加值总额/GDP A₂₂	反映二三产业发展水平	0.0083
生态环境发展态势B （0.2669）	资源利用B₁（0.0531）	单位产值农林播种面积 B₁₁	反映耕地利用效益	0.0443
	资源利用B₁（0.0531）	单位产值化肥施用强度 B₁₂	反映土地产出效益	0.0087
	生态本底B₂（0.1234）	植被覆盖度 B₂₁	反映环境保育水平	0.0126
	生态本底B₂（0.1234）	人均农田防护林面积 B₂₂	反映环境保育水平	0.1108
	环境污染B₃（0.0175）	单位产值PM_2.5年均质量浓度 B₃₁	反映环境污染水平	0.0175
	环境治理B₄（0.0729）	环境污染治理投资占GDP比重 B₄₁	反映环境治理水平	0.0729
社会民生发展态势C （0.5400）	生活质量C₁（0.2832）	人均绿化面积 C₁₁	反映居民生活质量	0.1548
		人均社会消费品零售总额 C₁₂	反映市场消费能力	0.0911
		教育/科学技术支出占财政支出比重 C₁₃	反映科技支持力度	0.0374
	民生改善C₂（0.2568）	人均城乡居民储蓄存款余额 C₂₁	反映社会整体富裕水平	0.0969
	民生改善C₂（0.2568）	人均地方财政收入 C₂₂	反映居民富裕程度	0.1599

年份	产业发展				生态环境				社会民生
年份	鲁西北	鲁西南	东部沿海	限制开发区	鲁西北	鲁西南	东部沿海	限制开发区	鲁西北	鲁西南	东部沿海	限制开发区
2006	0.0440	0.0511	0.0655	0.0536	0.0844	0.0806	0.0719	0.0790	0.0632	0.0492	0.1314	0.0813
2007	0.0356	0.0429	0.0549	0.0445	0.0752	0.0785	0.0701	0.0746	0.0777	0.0647	0.1448	0.0958
2008	0.0478	0.0463	0.0604	0.0515	0.0743	0.0658	0.0725	0.0709	0.0801	0.0677	0.1484	0.0988
2009	0.0433	0.0491	0.0634	0.0519	0.0893	0.0781	0.0812	0.0829	0.0775	0.0639	0.1473	0.0962
2010	0.0510	0.0493	0.0671	0.0558	0.0853	0.0700	0.0765	0.0772	0.0743	0.0608	0.1434	0.0928
2011	0.0591	0.0552	0.0976	0.0706	0.0948	0.0772	0.0795	0.0839	0.0788	0.0678	0.1471	0.0979
2012	0.0651	0.0566	0.0852	0.0689	0.0949	0.0722	0.0808	0.0826	0.0852	0.0776	0.1508	0.1045
2013	0.0461	0.0436	0.0568	0.0488	0.1071	0.0864	0.0857	0.0931	0.0757	0.0583	0.1453	0.0931
2014	0.0537	0.0580	0.0785	0.0634	0.0961	0.0823	0.0811	0.0865	0.0967	0.0808	0.1703	0.1159
2015	0.0549	0.0638	0.0986	0.0725	0.1176	0.0940	0.0882	0.0999	0.0787	0.0738	0.1420	0.0982
2016	0.0570	0.0523	0.0875	0.0656	0.0896	0.0767	0.0611	0.0758	0.1095	0.0882	0.1787	0.1255
2017	0.0383	0.0470	0.0502	0.0452	0.1030	0.0832	0.0668	0.0844	0.0992	0.0860	0.1699	0.1184
2018	0.0604	0.0618	0.0708	0.0643	0.0988	0.0760	0.0708	0.0819	0.0772	0.0614	0.1371	0.0919

障碍因素	2006年				2012年				2018年
障碍因素	鲁西北	鲁西南	东部沿海	限制开发区	鲁西北	鲁西南	东部沿海	限制开发区	鲁西北	鲁西南	东部沿海	限制开发区
产业运行	3.98	3.64	13.42	7.02	4.27	3.91	11.42	6.53	2.90	2.89	13.09	6.30
产业结构	14.60	13.68	4.54	10.94	12.74	13.28	4.76	10.26	14.50	13.44	4.01	10.65
资源利用	3.94	3.25	5.25	4.15	5.48	5.30	6.78	5.85	3.23	3.14	5.10	3.82
生态本底	9.05	11.44	12.84	11.11	10.13	12.96	12.72	11.93	11.49	13.29	15.08	13.29
环境污染	1.01	0.86	0.34	0.73	1.22	1.02	0.50	0.92	0.99	0.84	0.41	0.74
环境治理	8.54	7.19	8.56	8.10	5.93	5.28	7.65	6.29	6.36	6.62	7.19	6.72
生活质量	29.65	29.92	26.41	28.66	28.30	27.18	25.32	26.93	29.61	29.17	26.39	28.39
民生改善	29.23	30.03	28.65	29.30	31.93	31.08	30.86	31.29	30.92	30.61	28.73	30.09

年份	A₁₁	A₁₂	A₁₃	A₂₁	A₂₂	B₁₁	B₁₂	B₂₁	B₂₂	B₃₁	B₄₁	C₁₁	C₁₂	C₁₃	C₂₁	C₂₂
注：变量含义同表1。
2006	0.61	11.63	1.74	3.38	0.59	3.75	0.21	0.56	10.25	0.80	8.02	15.00	9.61	4.43	10.86	18.55
2012	1.61	9.83	1.21	3.99	0.25	5.37	0.33	0.47	11.34	0.98	6.06	15.98	8.88	2.35	11.36	20.00
2018	1.12	11.13	1.52	2.91	0.24	3.48	0.12	0.43	12.55	0.80	6.64	16.59	9.77	2.37	10.72	19.59

Spatio-temporal Heterogeneity Characteristics of Industrial Ecological Transformation in Restricted Development Zones of Shandong from the Perspective of Multi-source Data

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 30

Related Articles 5

Metrics

Comments

Recommended 0

[1]	Sun Yongsheng, Tong Lianjun. Spatio-temporal Coupling Relationship Between Development Strength and Eco-environment in the Restricted Development Zone of Northeast China [J]. SCIENTIA GEOGRAPHICA SINICA, 2021, 41(4): 684-694.
[2]	Zhao Shuhong, Bai Meng, Ruan Mengzhi, Qian Haiyan. Spatio-temporal Evolution Characteristics and Obstacle Factors of Coordinated Development of Tourism Resources and Ecological Security in Yunnan Province [J]. SCIENTIA GEOGRAPHICA SINICA, 2021, 41(3): 493-503.
[3]	Guo Yanhua, Mei Lin, Tong Lianjun. The Effect of Industrial Agglomeration on Green Development Efficiency in Restricted Development Zone of Jilin Province [J]. SCIENTIA GEOGRAPHICA SINICA, 2020, 40(9): 1484-1492.
[4]	Li Ping, Tong Lianjun, Fan Weiguang, Guo Yanhua. Evolution of Green Development Pattern and Identification of Obstacles in the Restricted Development Zones of Jilin Province [J]. SCIENTIA GEOGRAPHICA SINICA, 2020, 40(5): 730-739.
[5]	Qiqi Wang, Lijie Pu, Ming Zhu, Jianguo Li, Meng Zhang. Soil Quality Evolution in Coastal Reclamation Zones：A Case Study of Rudong County of Jiangsu Province [J]. SCIENTIA GEOGRAPHICA SINICA, 2016, 36(2): 256-264.