Spatio-temporal pattern and influencing factors of urban ecological industrial structure in the Yellow River Basin

doi:10.7522/j.issn.1000-694X.2024.00008

Journal of Desert Research ›› 2024, Vol. 44 ›› Issue (3): 108-118.DOI: 10.7522/j.issn.1000-694X.2024.00008

Spatio-temporal pattern and influencing factors of urban ecological industrial structure in the Yellow River Basin

Mingdou Zhang(), Yuxin Yang

School of Economics，Dongbei University of Finance and Economics，Dalian 116025，Liaoning，China

Received:2023-12-01 Revised:2024-01-10 Online:2024-05-20 Published:2024-06-11

Abstract

Abstract:

Taking 57 prefecture level and above cities in the Yellow River Basin as the research object， this paper measures the ecological level of industrial structure from 2010 to 2019 from the three dimensions of industrial structure rationalization， optimization and sustainability， clarifies its spatiotemporal evolution pattern， and reveals the sources and contributions of the spatial differences of the urban ecological industrial structure in the Yellow River Basin by applying the Dagum Gini coefficient decomposition method， based on which the influencing factors of the ecological industrial structure are dissected by the spatial Dubin model. The results showed that：（1） From 2010 to 2019， the overall development of the ecological development of urban industrial structure tended to be better， with an average annual growth rate of 1.55%， and the fluctuating trend of the ecological level of urban industrial structure in the downstream， midstream and upstream was basically consistent with the whole. （2） The spatial differentiation of cities was obvious， with high-value areas mainly concentrated in the downstream areas and low-value areas mostly located in the middle and upper reaches， and the overall evolution of "downstream-upstream" gradient was characterized by a decreasing gradient. （3） The spatial difference of urban ecological industrial structure was gradually narrowing， with an average annual decline rate of 2.47%， The intensity of transvariation was the main source of spatial difference， with an average annual contribution rate of 46.45%. The spatial correlation of areas with similar levels of ecological industrial structure decreased， and the phenomenon of spatial aggregation was weakened. （4） The financial development level and consumption structure upgrading level had positive promoting effects on the urban ecological industrial structure， while government regulation level， industrial agglomeration level and urbanization level had negative hindering effects. Meanwhile， consumption structure upgrading level had an obvious positive spillover effect， while government regulation level and industrial agglomeration level had negative spillover effects.

Key words: ecological industrial structure, spatiotemporal pattern, influencing factors, the Yellow River Basin

CLC Number:

Mingdou Zhang, Yuxin Yang. Spatio-temporal pattern and influencing factors of urban ecological industrial structure in the Yellow River Basin[J]. Journal of Desert Research, 2024, 44(3): 108-118.

Figures/Tables 11

Table 1 Evaluation indicators of the ecological level of urban industrial structure

一级指标	二级指标	指标定义	指标含义	权重
产业结构生态化指标	产业结构合理化	泰尔指数倒数	据公式（1）计算所得	0.148
	产业结构高级化	产业结构高级化指数	据公式（2）计算所得	0.183
	产业结构可持续性	非农产业增加值（万元）	二三产业增加值之和	0.100
		人均实际利用外资水平（元）	实际利用外资额/年末总人口	0.078
		人均移动电话用户数（户）	移动电话年末用户数/年末总人口	0.172
		建成区绿化覆盖率（%）	绿化覆盖面积/城市建成区面积	0.042
		万元GDP 能耗（t）	能源消耗总量/GDP	0.120
		万元GDP 水耗（t）	用水总量/GDP	0.011
		人均废水排放量（t）	工业废水排放总量/年末总人口	0.014
		人均二氧化硫排放量（t）	工业二氧化硫排放量/年末总人口	0.026
		一般工业固体废弃物综合利用率（%）	一般工业固体废弃物综合利用量/（工业固体废物产生量+综合利用往年贮存量）	0.107

Fig.1 Overview of the research area

Fig.2 Time-series evolution of the ecological level of urban industrial structure in the Yellow River Basin

Fig.3 Spatial evolutionary characteristics of the ecological level of urban industrial structure in the Yellow River Basin

Fig.4 Overall and intraregional Gini coefficients

Fig.5 Interregional Gini coefficients

Fig.6 Decomposition of spatial differences

Table 2 Moran's I index of the ecological level of urban industrial structure in the Yellow River Basin

年份	Moran's I	z	P
2010	0.079	4.368	0.000
2011	0.073	4.119	0.000
2012	0.055	3.315	0.000
2013	0.050	3.066	0.001
2014	0.057	3.376	0.000
2015	0.059	3.484	0.000
2016	0.040	2.606	0.005
2017	0.021	1.749	0.040
2018	0.024	1.890	0.029
2019	0.019	1.686	0.046

Fig.7 Moran scatterplot of the ecological level of urban industrial structure in the Yellow River Basin

Table 3 Descriptive statistics for variables

变量	变量符号	衡量指标	均值	标准差	最小值	最大值
政府调控水平	GR	财政支出/GDP	0.219	0.143	0.071	0.837
绿色创新水平	lnGI	ln(绿色发明专利申请量+绿色实用新型专利申请量)	4.745	1.556	1.099	8.729
工业集聚水平	IA	工业增加值占比/全国该比重	1.181	0.352	0.362	1.873
金融发展水平	FD	年末金融机构存贷款余额/GDP	2.534	1.414	1.058	7.519
人力资本水平	lnHR	ln(万人在校大学生数)	4.814	1.076	2.611	7.084
消费结构升级水平	CS	城镇居民非食品消费支出/总消费支出	0.705	0.042	0.600	0.796
城镇化水平	UL	城镇人口量/年末总人口	0.522	0.150	0.245	0.946

Table 4 Regression results of spatial Durbin model

变量	直接效应	间接效应	总效应
GR	-0.121^***(-3.27)	-1.775^***(-2.70)	-1.896^***(-2.82)
lnGI	0.000(-0.10)	0.002(0.07)	0.002(0.06)
IA	-0.049^***(-5.32)	-0.225^*(-1.88)	-0.274^**(-2.26)
FD	0.004^*(1.82)	0.050(1.38)	0.054(1.46)
lnHR	0.002(0.57)	-0.006(-0.19)	-0.005(-0.14)
CS	0.127^**(2.54)	1.866^***(2.76)	1.993^***(2.89)
UL	-0.064^***(-2.58)	-0.132(-0.53)	-0.197(-0.79)
$ρ$	0.277^*(1.75)
Variance sigma2 e	0.001^***(16.87)
R²	0.180

Table 4 Regression results of spatial Durbin model

变量	直接效应	间接效应	总效应
GR	-0.121^***(-3.27)	-1.775^***(-2.70)	-1.896^***(-2.82)
lnGI	0.000(-0.10)	0.002(0.07)	0.002(0.06)
IA	-0.049^***(-5.32)	-0.225^*(-1.88)	-0.274^**(-2.26)
FD	0.004^*(1.82)	0.050(1.38)	0.054(1.46)
lnHR	0.002(0.57)	-0.006(-0.19)	-0.005(-0.14)
CS	0.127^**(2.54)	1.866^***(2.76)	1.993^***(2.89)
UL	-0.064^***(-2.58)	-0.132(-0.53)	-0.197(-0.79)
$ρ$	0.277^*(1.75)
Variance sigma2 e	0.001^***(16.87)
R²	0.180

References 36

1	汪芳，安黎哲，党安荣，等.黄河流域人地耦合与可持续人居环境［J］.地理研究，2020，39（8）：1707-1724.
2	杨永春，张旭东，穆焱杰，等.黄河上游生态保护与高质量发展的基本逻辑及关键对策［J］.经济地理，2020，40（6）：9-20.
3	金凤君，马丽，许堞.黄河流域产业发展对生态环境的胁迫诊断与优化路径识别［J］.资源科学，2020，42（1）：127-136.
4	Frosch R A， Gallopoulos N E.Strategies for manufacturing［J］.Scientific American，1989，261（3）：144-152.
5	吕明元，陈磊.“互联网+”对产业结构生态化转型影响的实证分析：基于上海市2000-2013年数据［J］.上海经济研究，2016，35（9）：110-121.
6	Yoon S， Nadvi K.Industrial clusters and industrial ecology：building ‘eco-collective efficiency’ in a South Korean cluster［J］.Geoforum，2018，90（1）：159-173.
7	Yu X， Zhang Y.An economic mechanism of industrial ecology：theory and evidence［J］.Structural Change and Economic Dynamics，2021，58（3）：14-22.
8	Elmassah S.Industrial symbiosis within eco‐industrial parks：sustainable development for Borg El‐Arab in Egypt［J］.Business Strategy and the Environment，2018，27（7）：884-892.
9	Arabi B， Munisamy S， Emrouznejad A，et al.Power industry restructuring and eco-efficiency changes：a new slacks-based model in Malmquist-Luenberger Index measurement［J］.Energy Policy，2014，68（1）：132-145.
10	斯丽娟，姚小强.绿色金融改革创新与区域产业结构生态化：来自绿色金融改革创新试验区的准自然实验［J］.学习与探索，2022，44（4）：129-138.
11	原毅军，谢荣辉.环境规制的产业结构调整效应研究：基于中国省际面板数据的实证检验［J］.中国工业经济，2014，32（8）：57-69.
12	干春晖，郑若谷，余典范.中国产业结构变迁对经济增长和波动的影响［J］.经济研究，2011，46（5）：4-16.
13	付凌晖.我国产业结构高级化与经济增长关系的实证研究［J］.统计研究，2010，27（8）：79-81.
14	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.
15	陆根尧，盛龙，唐辰华.中国产业生态化水平的静态与动态分析：基于省际数据的实证研究［J］.中国工业经济，2012，30（3）：147-159.
16	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.
17	Dagum C.A new approach to the decomposition of the Gini income inequality ratio［J］.Empirical Economics，1997，22（4）：515-531.
18	刘华军，何伟，杨骞.中国人口老龄化的空间非均衡及分布动态演进：1989~2011［J］.人口研究，2014，38（2）：71-82.
19	于伟，张鹏，姬志恒.中国城市群生态效率的区域差异、分布动态和收敛性研究［J］.数量经济技术经济研究，2021，38（1）：23-42.
20	李婧，谭清美，白俊红.中国区域创新生产的空间计量分析：基于静态与动态空间面板模型的实证研究［J］.管理世界，2010，26（7）：43-55.
21	王建康，谷国锋，姚丽，等.中国新型城镇化的空间格局演变及影响因素分析：基于285个地级市的面板数据［J］.地理科学，2016，36（1）：63-71.
22	张翠菊，张宗益.中国省域产业结构升级影响因素的空间计量分析［J］.统计研究，2015，32（10）：32-37.
23	郭付友，佟连军，仇方道，等.黄河流域生态经济走廊绿色发展时空分异特征与影响因素识别［J］.地理学报，2021，76（3）：726-739.
24	陈明华，岳海珺，郝云飞，等.黄河流域生态效率的空间差异、动态演进及驱动因素［J］.数量经济技术经济研究，2021，38（9）：25-44.
25	周晓艳，郝慧迪，叶信岳，等.黄河流域区域经济差异的时空动态分析［J］.人文地理，2016，31（5）：119-125.
26	岳立，薛丹.黄河流域沿线城市绿色发展效率时空演变及其影响因素［J］.资源科学，2020，42（12）：2274-2284.
27	韩叙，柳潇明，刘文婷，等.黄河流域绿色金融与经济高质量发展耦合协调时空特征及驱动因素［J］.经济地理，2023，43（9）：121-130.
28	李林山，赵宏波，郭付友，等.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.
29	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.
30	王馨，王营.绿色信贷政策增进绿色创新研究［J］.管理世界，2021，37（6）：173-188.
31	杨仁发.产业集聚能否改善中国环境污染［J］.中国人口·资源与环境，2015，25（2）：23-29.
32	孙皓，胡鞍钢.城乡居民消费结构升级的消费增长效应分析［J］.财政研究，2013，34（7）：56-62.
33	LeSage J， Pace R K.Introduction to Spatial Econometrics［M］.New York，USA：CRC Press，2009：1-20.
34	俞剑，方福前.中国城乡居民消费结构升级对经济增长的影响［J］.中国人民大学学报，2015，29（5）：68-78.
35	阎晓，涂建军.黄河流域资源型城市生态效率时空演变及驱动因素［J］.自然资源学报，2021，36（1）：223-239.
36	张云飞.城市群内产业集聚与经济增长关系的实证研究：基于面板数据的分析［J］.经济地理，2014，34（1）：108-113.

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Spatio-temporal pattern and influencing factors of urban ecological industrial structure in the Yellow River Basin

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