Spatial-Temporal Evolution and Driving Factors of Regional Green Development: An Empirical Study in Yellow River Basin

The sustainable development of the Yellow River Basin (YRB) is regarded as a national strategy for China. Previous literature has focused on the green efficiency measurement of YRB, ignoring its evolution process and influential mechanism. This paper tries to disclose the spatial-temporal evolution...
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Autor*in:	Fuli Zhou [verfasserIn] Dongge Si [verfasserIn] Panpan Hai [verfasserIn] Panpan Ma [verfasserIn] Saurabh Pratap [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Yellow River basin (YRB) green development efficiency (GDE) spatial-temporal dynamic evolution influence mechanism multi-period two-stage DEA model Tobit-based regression model

Übergeordnetes Werk:	In: Systems - MDPI AG, 2013, 11(2023), 2, p 109
Übergeordnetes Werk:	volume:11 ; year:2023 ; number:2, p 109

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/systems11020109

Katalog-ID:	DOAJ079960995

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520			\|a The sustainable development of the Yellow River Basin (YRB) is regarded as a national strategy for China. Previous literature has focused on the green efficiency measurement of YRB, ignoring its evolution process and influential mechanism. This paper tries to disclose the spatial-temporal evolution of green efficiency and its influential mechanism of the YRB region by proposing a novel integrated DEA-Tobit model to fill the gap. Based on the development path of the YRB region, the multi-period two-stage DEA model is adopted to evaluate the green development efficiency (GDE) from provincial and urban dimensions. In addition, the panel Tobit model is developed to investigate the influential factors of the GDE for the YRB region. The GDE in the YRB region shows an unbalanced state where the downstream is best, followed by the middle and upstream. The unbalanced development also exists within the province. Both Henan and Shandong Province achieved the optimal value, while cities in these two provinces show lower green efficiency. The results also show that economic development, technological innovation and foreign capital utilization obviously affect the GDE of the YRB region positively, while industrial structure, urbanization levels and environmental regulation have negative effects.
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allfields	10.3390/systems11020109 doi (DE-627)DOAJ079960995 (DE-599)DOAJ74e3a2acc15c4edd82e051ffcb003337 DE-627 ger DE-627 rakwb eng T1-995 Fuli Zhou verfasserin aut Spatial-Temporal Evolution and Driving Factors of Regional Green Development: An Empirical Study in Yellow River Basin 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The sustainable development of the Yellow River Basin (YRB) is regarded as a national strategy for China. Previous literature has focused on the green efficiency measurement of YRB, ignoring its evolution process and influential mechanism. This paper tries to disclose the spatial-temporal evolution of green efficiency and its influential mechanism of the YRB region by proposing a novel integrated DEA-Tobit model to fill the gap. Based on the development path of the YRB region, the multi-period two-stage DEA model is adopted to evaluate the green development efficiency (GDE) from provincial and urban dimensions. In addition, the panel Tobit model is developed to investigate the influential factors of the GDE for the YRB region. The GDE in the YRB region shows an unbalanced state where the downstream is best, followed by the middle and upstream. The unbalanced development also exists within the province. Both Henan and Shandong Province achieved the optimal value, while cities in these two provinces show lower green efficiency. The results also show that economic development, technological innovation and foreign capital utilization obviously affect the GDE of the YRB region positively, while industrial structure, urbanization levels and environmental regulation have negative effects. Yellow River basin (YRB) green development efficiency (GDE) spatial-temporal dynamic evolution influence mechanism multi-period two-stage DEA model Tobit-based regression model Systems engineering TA168 Technology (General) Dongge Si verfasserin aut Panpan Hai verfasserin aut Panpan Ma verfasserin aut Saurabh Pratap verfasserin aut In Systems MDPI AG, 2013 11(2023), 2, p 109 (DE-627)718635558 (DE-600)2663185-4 20798954 nnns volume:11 year:2023 number:2, p 109 https://doi.org/10.3390/systems11020109 kostenfrei https://doaj.org/article/74e3a2acc15c4edd82e051ffcb003337 kostenfrei https://www.mdpi.com/2079-8954/11/2/109 kostenfrei https://doaj.org/toc/2079-8954 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 2, p 109
spelling	10.3390/systems11020109 doi (DE-627)DOAJ079960995 (DE-599)DOAJ74e3a2acc15c4edd82e051ffcb003337 DE-627 ger DE-627 rakwb eng T1-995 Fuli Zhou verfasserin aut Spatial-Temporal Evolution and Driving Factors of Regional Green Development: An Empirical Study in Yellow River Basin 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The sustainable development of the Yellow River Basin (YRB) is regarded as a national strategy for China. Previous literature has focused on the green efficiency measurement of YRB, ignoring its evolution process and influential mechanism. This paper tries to disclose the spatial-temporal evolution of green efficiency and its influential mechanism of the YRB region by proposing a novel integrated DEA-Tobit model to fill the gap. Based on the development path of the YRB region, the multi-period two-stage DEA model is adopted to evaluate the green development efficiency (GDE) from provincial and urban dimensions. In addition, the panel Tobit model is developed to investigate the influential factors of the GDE for the YRB region. The GDE in the YRB region shows an unbalanced state where the downstream is best, followed by the middle and upstream. The unbalanced development also exists within the province. Both Henan and Shandong Province achieved the optimal value, while cities in these two provinces show lower green efficiency. The results also show that economic development, technological innovation and foreign capital utilization obviously affect the GDE of the YRB region positively, while industrial structure, urbanization levels and environmental regulation have negative effects. Yellow River basin (YRB) green development efficiency (GDE) spatial-temporal dynamic evolution influence mechanism multi-period two-stage DEA model Tobit-based regression model Systems engineering TA168 Technology (General) Dongge Si verfasserin aut Panpan Hai verfasserin aut Panpan Ma verfasserin aut Saurabh Pratap verfasserin aut In Systems MDPI AG, 2013 11(2023), 2, p 109 (DE-627)718635558 (DE-600)2663185-4 20798954 nnns volume:11 year:2023 number:2, p 109 https://doi.org/10.3390/systems11020109 kostenfrei https://doaj.org/article/74e3a2acc15c4edd82e051ffcb003337 kostenfrei https://www.mdpi.com/2079-8954/11/2/109 kostenfrei https://doaj.org/toc/2079-8954 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 2, p 109
allfields_unstemmed	10.3390/systems11020109 doi (DE-627)DOAJ079960995 (DE-599)DOAJ74e3a2acc15c4edd82e051ffcb003337 DE-627 ger DE-627 rakwb eng T1-995 Fuli Zhou verfasserin aut Spatial-Temporal Evolution and Driving Factors of Regional Green Development: An Empirical Study in Yellow River Basin 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The sustainable development of the Yellow River Basin (YRB) is regarded as a national strategy for China. Previous literature has focused on the green efficiency measurement of YRB, ignoring its evolution process and influential mechanism. This paper tries to disclose the spatial-temporal evolution of green efficiency and its influential mechanism of the YRB region by proposing a novel integrated DEA-Tobit model to fill the gap. Based on the development path of the YRB region, the multi-period two-stage DEA model is adopted to evaluate the green development efficiency (GDE) from provincial and urban dimensions. In addition, the panel Tobit model is developed to investigate the influential factors of the GDE for the YRB region. The GDE in the YRB region shows an unbalanced state where the downstream is best, followed by the middle and upstream. The unbalanced development also exists within the province. Both Henan and Shandong Province achieved the optimal value, while cities in these two provinces show lower green efficiency. The results also show that economic development, technological innovation and foreign capital utilization obviously affect the GDE of the YRB region positively, while industrial structure, urbanization levels and environmental regulation have negative effects. Yellow River basin (YRB) green development efficiency (GDE) spatial-temporal dynamic evolution influence mechanism multi-period two-stage DEA model Tobit-based regression model Systems engineering TA168 Technology (General) Dongge Si verfasserin aut Panpan Hai verfasserin aut Panpan Ma verfasserin aut Saurabh Pratap verfasserin aut In Systems MDPI AG, 2013 11(2023), 2, p 109 (DE-627)718635558 (DE-600)2663185-4 20798954 nnns volume:11 year:2023 number:2, p 109 https://doi.org/10.3390/systems11020109 kostenfrei https://doaj.org/article/74e3a2acc15c4edd82e051ffcb003337 kostenfrei https://www.mdpi.com/2079-8954/11/2/109 kostenfrei https://doaj.org/toc/2079-8954 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 2, p 109
allfieldsGer	10.3390/systems11020109 doi (DE-627)DOAJ079960995 (DE-599)DOAJ74e3a2acc15c4edd82e051ffcb003337 DE-627 ger DE-627 rakwb eng T1-995 Fuli Zhou verfasserin aut Spatial-Temporal Evolution and Driving Factors of Regional Green Development: An Empirical Study in Yellow River Basin 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The sustainable development of the Yellow River Basin (YRB) is regarded as a national strategy for China. Previous literature has focused on the green efficiency measurement of YRB, ignoring its evolution process and influential mechanism. This paper tries to disclose the spatial-temporal evolution of green efficiency and its influential mechanism of the YRB region by proposing a novel integrated DEA-Tobit model to fill the gap. Based on the development path of the YRB region, the multi-period two-stage DEA model is adopted to evaluate the green development efficiency (GDE) from provincial and urban dimensions. In addition, the panel Tobit model is developed to investigate the influential factors of the GDE for the YRB region. The GDE in the YRB region shows an unbalanced state where the downstream is best, followed by the middle and upstream. The unbalanced development also exists within the province. Both Henan and Shandong Province achieved the optimal value, while cities in these two provinces show lower green efficiency. The results also show that economic development, technological innovation and foreign capital utilization obviously affect the GDE of the YRB region positively, while industrial structure, urbanization levels and environmental regulation have negative effects. Yellow River basin (YRB) green development efficiency (GDE) spatial-temporal dynamic evolution influence mechanism multi-period two-stage DEA model Tobit-based regression model Systems engineering TA168 Technology (General) Dongge Si verfasserin aut Panpan Hai verfasserin aut Panpan Ma verfasserin aut Saurabh Pratap verfasserin aut In Systems MDPI AG, 2013 11(2023), 2, p 109 (DE-627)718635558 (DE-600)2663185-4 20798954 nnns volume:11 year:2023 number:2, p 109 https://doi.org/10.3390/systems11020109 kostenfrei https://doaj.org/article/74e3a2acc15c4edd82e051ffcb003337 kostenfrei https://www.mdpi.com/2079-8954/11/2/109 kostenfrei https://doaj.org/toc/2079-8954 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 2, p 109
allfieldsSound	10.3390/systems11020109 doi (DE-627)DOAJ079960995 (DE-599)DOAJ74e3a2acc15c4edd82e051ffcb003337 DE-627 ger DE-627 rakwb eng T1-995 Fuli Zhou verfasserin aut Spatial-Temporal Evolution and Driving Factors of Regional Green Development: An Empirical Study in Yellow River Basin 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The sustainable development of the Yellow River Basin (YRB) is regarded as a national strategy for China. Previous literature has focused on the green efficiency measurement of YRB, ignoring its evolution process and influential mechanism. This paper tries to disclose the spatial-temporal evolution of green efficiency and its influential mechanism of the YRB region by proposing a novel integrated DEA-Tobit model to fill the gap. Based on the development path of the YRB region, the multi-period two-stage DEA model is adopted to evaluate the green development efficiency (GDE) from provincial and urban dimensions. In addition, the panel Tobit model is developed to investigate the influential factors of the GDE for the YRB region. The GDE in the YRB region shows an unbalanced state where the downstream is best, followed by the middle and upstream. The unbalanced development also exists within the province. Both Henan and Shandong Province achieved the optimal value, while cities in these two provinces show lower green efficiency. The results also show that economic development, technological innovation and foreign capital utilization obviously affect the GDE of the YRB region positively, while industrial structure, urbanization levels and environmental regulation have negative effects. Yellow River basin (YRB) green development efficiency (GDE) spatial-temporal dynamic evolution influence mechanism multi-period two-stage DEA model Tobit-based regression model Systems engineering TA168 Technology (General) Dongge Si verfasserin aut Panpan Hai verfasserin aut Panpan Ma verfasserin aut Saurabh Pratap verfasserin aut In Systems MDPI AG, 2013 11(2023), 2, p 109 (DE-627)718635558 (DE-600)2663185-4 20798954 nnns volume:11 year:2023 number:2, p 109 https://doi.org/10.3390/systems11020109 kostenfrei https://doaj.org/article/74e3a2acc15c4edd82e051ffcb003337 kostenfrei https://www.mdpi.com/2079-8954/11/2/109 kostenfrei https://doaj.org/toc/2079-8954 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 2, p 109
language	English
source	In Systems 11(2023), 2, p 109 volume:11 year:2023 number:2, p 109
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topic_facet	Yellow River basin (YRB) green development efficiency (GDE) spatial-temporal dynamic evolution influence mechanism multi-period two-stage DEA model Tobit-based regression model Systems engineering TA168 Technology (General)
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authorswithroles_txt_mv	Fuli Zhou @@aut@@ Dongge Si @@aut@@ Panpan Hai @@aut@@ Panpan Ma @@aut@@ Saurabh Pratap @@aut@@
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callnumber-first	T - Technology
author	Fuli Zhou
spellingShingle	Fuli Zhou misc T1-995 misc Yellow River basin (YRB) misc green development efficiency (GDE) misc spatial-temporal dynamic evolution misc influence mechanism misc multi-period two-stage DEA model misc Tobit-based regression model misc Systems engineering misc TA168 misc Technology (General) Spatial-Temporal Evolution and Driving Factors of Regional Green Development: An Empirical Study in Yellow River Basin
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topic_title	T1-995 Spatial-Temporal Evolution and Driving Factors of Regional Green Development: An Empirical Study in Yellow River Basin Yellow River basin (YRB) green development efficiency (GDE) spatial-temporal dynamic evolution influence mechanism multi-period two-stage DEA model Tobit-based regression model
topic	misc T1-995 misc Yellow River basin (YRB) misc green development efficiency (GDE) misc spatial-temporal dynamic evolution misc influence mechanism misc multi-period two-stage DEA model misc Tobit-based regression model misc Systems engineering misc TA168 misc Technology (General)
topic_unstemmed	misc T1-995 misc Yellow River basin (YRB) misc green development efficiency (GDE) misc spatial-temporal dynamic evolution misc influence mechanism misc multi-period two-stage DEA model misc Tobit-based regression model misc Systems engineering misc TA168 misc Technology (General)
topic_browse	misc T1-995 misc Yellow River basin (YRB) misc green development efficiency (GDE) misc spatial-temporal dynamic evolution misc influence mechanism misc multi-period two-stage DEA model misc Tobit-based regression model misc Systems engineering misc TA168 misc Technology (General)
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title	Spatial-Temporal Evolution and Driving Factors of Regional Green Development: An Empirical Study in Yellow River Basin
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title_full	Spatial-Temporal Evolution and Driving Factors of Regional Green Development: An Empirical Study in Yellow River Basin
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author_browse	Fuli Zhou Dongge Si Panpan Hai Panpan Ma Saurabh Pratap
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title_sort	spatial-temporal evolution and driving factors of regional green development: an empirical study in yellow river basin
callnumber	T1-995
title_auth	Spatial-Temporal Evolution and Driving Factors of Regional Green Development: An Empirical Study in Yellow River Basin
abstract	The sustainable development of the Yellow River Basin (YRB) is regarded as a national strategy for China. Previous literature has focused on the green efficiency measurement of YRB, ignoring its evolution process and influential mechanism. This paper tries to disclose the spatial-temporal evolution of green efficiency and its influential mechanism of the YRB region by proposing a novel integrated DEA-Tobit model to fill the gap. Based on the development path of the YRB region, the multi-period two-stage DEA model is adopted to evaluate the green development efficiency (GDE) from provincial and urban dimensions. In addition, the panel Tobit model is developed to investigate the influential factors of the GDE for the YRB region. The GDE in the YRB region shows an unbalanced state where the downstream is best, followed by the middle and upstream. The unbalanced development also exists within the province. Both Henan and Shandong Province achieved the optimal value, while cities in these two provinces show lower green efficiency. The results also show that economic development, technological innovation and foreign capital utilization obviously affect the GDE of the YRB region positively, while industrial structure, urbanization levels and environmental regulation have negative effects.
abstractGer	The sustainable development of the Yellow River Basin (YRB) is regarded as a national strategy for China. Previous literature has focused on the green efficiency measurement of YRB, ignoring its evolution process and influential mechanism. This paper tries to disclose the spatial-temporal evolution of green efficiency and its influential mechanism of the YRB region by proposing a novel integrated DEA-Tobit model to fill the gap. Based on the development path of the YRB region, the multi-period two-stage DEA model is adopted to evaluate the green development efficiency (GDE) from provincial and urban dimensions. In addition, the panel Tobit model is developed to investigate the influential factors of the GDE for the YRB region. The GDE in the YRB region shows an unbalanced state where the downstream is best, followed by the middle and upstream. The unbalanced development also exists within the province. Both Henan and Shandong Province achieved the optimal value, while cities in these two provinces show lower green efficiency. The results also show that economic development, technological innovation and foreign capital utilization obviously affect the GDE of the YRB region positively, while industrial structure, urbanization levels and environmental regulation have negative effects.
abstract_unstemmed	The sustainable development of the Yellow River Basin (YRB) is regarded as a national strategy for China. Previous literature has focused on the green efficiency measurement of YRB, ignoring its evolution process and influential mechanism. This paper tries to disclose the spatial-temporal evolution of green efficiency and its influential mechanism of the YRB region by proposing a novel integrated DEA-Tobit model to fill the gap. Based on the development path of the YRB region, the multi-period two-stage DEA model is adopted to evaluate the green development efficiency (GDE) from provincial and urban dimensions. In addition, the panel Tobit model is developed to investigate the influential factors of the GDE for the YRB region. The GDE in the YRB region shows an unbalanced state where the downstream is best, followed by the middle and upstream. The unbalanced development also exists within the province. Both Henan and Shandong Province achieved the optimal value, while cities in these two provinces show lower green efficiency. The results also show that economic development, technological innovation and foreign capital utilization obviously affect the GDE of the YRB region positively, while industrial structure, urbanization levels and environmental regulation have negative effects.
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container_issue	2, p 109
title_short	Spatial-Temporal Evolution and Driving Factors of Regional Green Development: An Empirical Study in Yellow River Basin
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