Evaluation of Green Development Efficiency of the Major Cities in Gansu Province, China

Liu, Rongrong; Chen, Dong; Yang, Shijian; Chen, Yang

doi:10.3390/su13063034

Cited by 11 publications

(9 citation statements)

References 69 publications

(216 reference statements)

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“…e index system of green economy, education development, and technological innovation is designed, respectively. First of all, the development of green economy not only includes the growth of the economy scale but also the improvement of the economic structure and the increase of economic efficiency from the reference literature [28][29][30]. 12 indicators such as green GDP (100 million yuan) and gross industrial product above designated size (100 million yuan) were selected to design the indicator system of green economy from these three dimensions which are the scale of economic development, the structure of economic development, and the benefit of economic development.…”

Section: Design Of Index System Of Green Economy Education Development and Technological Innovationmentioning

confidence: 99%

How to Evaluate the Coordination of Green Economy, Education Development, and Technological Innovation? Take China as Example

Junqi

Kui

2022

Discrete Dynamics in Nature and Society

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The coordination of green economy, education development, and technological innovation is of great significance for reversing the trend of ecological environmental deterioration and promoting high-quality economic development. This study first designs the indicator system of green economy, education development, and technological innovation, then uses the entropy method to calculate the comprehensive level of green economy, education development, and technological innovation of 30 provinces and cities in China, and finally uses the coupling coordination model to measure the coordination level among them. The research shows that, first, the comprehensive level of green economy, education development, and technological innovation in 30 provinces and cities in China showed a rising trend from 2005 to 2016, but there were some regional differences in their levels. Second, the coordination level of green economy, education development, and technological innovation in different regions of China was in a rising trend from 2005 to 2016, but in 2005, they were extremely uncoordinated. Also, the coordination level of green economy, education development, and technological innovation in most regions of China grew very slowly from 2005 to 2010 but showed a rapid increase from 2011 to 2016. The coordination level of green economy, education development, and technological innovation in eastern China was visibly higher than that of the central region. The coordination level of the central region was higher than that of the northeast region, and the coordination level of the northeast region was higher than that of the western region. Finally, the limitations of this paper are summarized and proposed the direction of future research.

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Section: Design Of Index System Of Green Economy Education Development and Technological Innovationmentioning

confidence: 99%

How to Evaluate the Coordination of Green Economy, Education Development, and Technological Innovation? Take China as Example

Junqi

Kui

2022

Discrete Dynamics in Nature and Society

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“…For example, Zhang et al (2015) explained the driving force of government innovation diffusion from the perspective of neo-institutionalism theory and found that the driving force of government innovation diffusion has the characteristics of stages. Liu et al (2021) studied the multi-factor combination path of the comprehensive promotion of LGIS.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Only by increasing the support of scientific and technological innovation funds and making it transition to the right end of the "U-shaped" curve can the government facilitates the role of scientific and technological innovation in promoting ecological efficiency. The green development efficiency indicator emphasizes the symbiosis and interaction mechanism of the economic, social, and environmental systems (Liu et al, 2021). Therefore, through data envelopment analysis, this paper uses the Super-SBM model to build a green development-efficiency-index evaluation system, then uses the GMM model to inquire about the relationship between local government innovation support and green development efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

Government innovation support for green development efficiency in China: A regional analysis of key factors based on the dynamic GMM model

Khattak

Khan

Sun

et al. 2022

Front. Environ. Sci.

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Local government innovation support (LGIS) is an exogenous pulling force for high-quality economic development. Accurately identifying the mechanism by which LGIS affects green development remains practically and theoretically significant for building a long-term framework for driving green development. Based on provincial panel data (2010–2019), this paper uses the Super-SBM model to measure the green development efficiency (GDE) of different provinces in China. A dynamic panel GMM model is constructed to evaluate the significant relationship between LGIS and GDE and to explore the potential impact mechanism of other key factors such as fixed asset investment (FAI), environmental regulation (ER), industrial structure (IS), and foreign direct investment (FDI) on GDE. The estimation showed that LGIS had a positive impact on GDE. The data analysis indicated that GDE in the lag period significantly affected the GDE in the current period. More so, as per the results, the promoting effect of GDE in the second lag period gradually weakened due to the decline of LGIS and ER restrictions. The current model also revealed that FAI and ER inhibited the GDE progress, while IS and FAI had improved the state of GDE in the region. The research findings imply that China should further increase the government innovation expenditure, FDI utilization, and IS upgrade to promote high-quality economic development.

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“…Literature [13] used the spatial Durbin model and panel data of Huaihe River economic belt to conduct a study, and found that the environmental regulation shows inverted U on the economic high-quality development of the region, and at the same time, there is a spatial spillover effect of the economic highquality development. Literature [14] based on the panel data of 12 major cities in Gansu province and the slack Measurement (SBM) on the efficiency of green economic development in Gansu, pointed out that the overall GDE in Gansu presents a situation of high east and low west, and concluded that Gansu needs to improve the use of resources and technological innovation, reduce the pollution emissions and optimize the industrial structure, and promote the sustainable development of the green economy. Previous studies have shown that green, low-carbon and circular economy has a positive and significant impact on the development of industrial structure, accompanied by space spillover effect.…”

Section: Introductionmentioning

confidence: 99%

The Relationship Between a Green, Low-carbon and Recycling Economy, Economic Policy and Industrial Structure Development

Guo

2024

Arch. Sci.

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This article critically examines Charles Bonnet’s seminal contributions to experimental science, particularly through his influential work, ‘Research on the Use of Leaves.’ The primary objective is to delineate the functions and forms of natural experimentation as they were understood and practiced in the mid-18th century. During this period, scientists esteemed experimentation as the zenith of scientific proof, acutely cognizant of its multifaceted functional and typological aspects. Their methodology was characterized by a detailed narration of research methodologies, fostering a ‘rhetoric of transparency’ in scientific discourse. Nevertheless, the advent of new norms in scientific discourse during the 19th century, coupled with a paradigmatic philosophical shift in the 20th century, resulted in the marginalization of empirical practices of the Enlightenment era. Contemporary historians are now endeavoring to reconcile significant terminological discrepancies and to recontextualize the divergent methodologies among natural historians of that epoch. This involves a critical distinction between exploratory and demonstrative (or discriminant) forms of experimentation. Bonnet’s systematic preference for discriminant experimentation serves as a quintessential example of the logical approach in natural history. However, this perspective does not wholly represent the 18th-century ‘art of observation,’ which embraced a plethora of methodologies including taxonomy, anatomical dissection, chemical analysis, and physical measurements.

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Evaluation of Green Development Efficiency of the Major Cities in Gansu Province, China

Cited by 11 publications

References 69 publications

How to Evaluate the Coordination of Green Economy, Education Development, and Technological Innovation? Take China as Example

How to Evaluate the Coordination of Green Economy, Education Development, and Technological Innovation? Take China as Example

Government innovation support for green development efficiency in China: A regional analysis of key factors based on the dynamic GMM model

The Relationship Between a Green, Low-carbon and Recycling Economy, Economic Policy and Industrial Structure Development

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