Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt

Tian, Yuan; Huang, Peng; Zhao, Xu

doi:10.1371/journal.pone.0243459

Cited by 21 publications

(14 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, with rapid social and economic development, the contradiction between developing and protecting the YREB has become salient. The YREB faces many problems in need of solutions, including the grim environmental situation, bottlenecks in the Yangtze River waterway, unbalanced regional development, the difficulty of industrial transformation, and poor regional cooperation [ 7 ].…”

Section: Methodsmentioning

confidence: 99%

“…Green development is a theoretical innovation of sustainable development, which balances and coordinates local economic growth, social development and ecological environment improvement [ 2 ]. The green development concept has gained wide currency globally since 2008 [ 1 – 7 ]. Many countries, including the Canada, United Kingdom, Germany and South Korea have invested considerable effort in green, sustainable development—an area that has attracted considerable research attention [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

“…Many countries, including the Canada, United Kingdom, Germany and South Korea have invested considerable effort in green, sustainable development—an area that has attracted considerable research attention [ 3 , 4 ]. In addition, the concept of green development has applied to green financial [ 5 ], green supply chain [ 6 ], green innovation [ 7 ] and so on.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Exploring the green development path of the Yangtze River Economic Belt using the entropy weight method and fuzzy-set qualitative comparative analysis

Yan

Hu²,

Wu³

et al. 2021

PLoS ONE

View full text Add to dashboard Cite

Green development is an effective way to achieve economic growth and social development in a harmonious, sustainable, and efficient manner. Although the Yangtze River Economic Belt (YREB) plays an important strategic role in China, our understanding of its spatiotemporal characteristics, as well as the multiple factors affecting its green development level (GDL), remains limited. This study used the entropy weight method (EWM) to analyze the temporal evolution and spatial differentiation characteristics of the GDL in the YREB from 2011 to 2019. Further, fuzzy-set qualitative comparative analysis (fsQCA) was used to analyze the influence path of GDL. The results showed that the GDL of the YREB increased from 2015 to 2019, but the overall level was still not high, with high GDL mainly concentrated in the lower reaches. The GDL model changed from being environmentally driven and government supported in 2011 to being environmentally and economically driven since 2014. The core conditions for high GDL changed from economic development level (EDL) to scientific technological innovation level (STIL) and environmental regulation (ER). The path for improving GDL is as follows: In regions with high EDL, effective ER, moderate openness level (OL), and high STIL are the basis, supplemented by a reasonable urbanization scale (US). In areas with low EDL, reasonable industrial structure (IS) and STIL are the core conditions for development; further, EDL should be improved and effective ER and OL implemented. Alternatively, without considering changes to EDL, improvement can be achieved through reasonable OL and US or effective ER. This study provides a new method for exploring the path of GDL and a reference for governments to effectively adjust green development policies.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Exploring the green development path of the Yangtze River Economic Belt using the entropy weight method and fuzzy-set qualitative comparative analysis

Yan

Hu²,

Wu³

et al. 2021

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…R&D input (R&D_I). R&D institutions require finances to support innovation, and amount of financial input will affect the efficiency and quality of innovation [53]. 5.…”

mentioning

confidence: 99%

Digital Economy Development and Urban Green Innovation CA-Pability: Based on Panel Data of 274 Prefecture-Level Cities in China

et al. 2022

View full text Add to dashboard Cite

The digital economy (DE) plays a crucial role in green innovation (GI) and green development as a new economic form. Based on the panel data of 274 Chinese prefecture-level cities from 2011 to 2019, this paper constructs a comprehensive DE index and conducts two-way fixed effect regression to explore its impact on GI capabilities and examines the mediating effect of industrial structure transformation and upgrading. The research results show that: (1) The development of the DE has significantly improved the GI capability of cities. (2) In terms of space, the development of DE and GI ability development in eastern cities outperform that in central and western regions. However, the development of eastern cities is almost saturated and slow, while the development of central and western cities is faster. (3) The DE has a significant role in promoting GI capabilities in the central and western regions. Although the eastern region has a positive impact, it is negligible. In terms of urban scale, the DE of the large, medium, and small cities positively affects GI capabilities to the effect. (4) The transformation and upgrading of the industrial structure mediate the relationship between the DE and GI. Based on the above conclusions, relevant suggestions for improving GI capabilities around the development of the DE and industrial transformation and upgrading must be devised.

show abstract

“…As environmental issues in the YREB have been paid more and more attention, Wang et al [15] studied the change of green total factor productivity from the perspective of green technological innovation. Tian et al [16] suggested that green innovation efficiency has a significant positive spatial correlation. Gou et al [17] studied the changes of environmental total factor productivity in the YREB from the perspective of regional green development.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Green Total Factor Productivity of Yangtze River Economic Belt Based on Environmental Regulation

Wang

Tang

2021

IJERPH

View full text Add to dashboard Cite

With the acceleration of industrialization and urbanization, the Yangtze River Economic Belt (YREB) is facing many environmental problems that need to be solved in the process of development. This paper aims to analyze the environmental governance effects of nine provinces and two municipalities in the Yangtze River Economic Belt from 2009 to 2018. Firstly, based on the input-output index, the slacks-based measure (SBM) undesirable model and Malmquist (ML) index were used to measure the green total factor productivity (GTFP) of the YREB from 2009 to 2018. The results showed that the technological progress index contributed the most to the GTFP of the YREB, followed by the pure technical efficiency index and the scale efficiency index. Environmental regulation has no significant impact on the GTFP of the YREB. Secondly, by analyzing the effect of environmental governance in the YREB, the results show that the main reasons for the ineffective environmental governance in the YREB are the redundant input of environmental resources, excessive unwanted output, and low harmless treatment rate of municipal solid waste, rather than the low level of urban environmental management. Finally, this paper provides recommendations for the ineffective provinces and municipalities of the YREB to further optimize the input-output factors of environmental governance.

show abstract

Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt

Cited by 21 publications

References 59 publications

Exploring the green development path of the Yangtze River Economic Belt using the entropy weight method and fuzzy-set qualitative comparative analysis

Exploring the green development path of the Yangtze River Economic Belt using the entropy weight method and fuzzy-set qualitative comparative analysis

Digital Economy Development and Urban Green Innovation CA-Pability: Based on Panel Data of 274 Prefecture-Level Cities in China

Research on Green Total Factor Productivity of Yangtze River Economic Belt Based on Environmental Regulation

Contact Info

Product

Resources

About