scholarly journals An Empirical Study on the Efficiency of Green Innovation Supported by Urban Financial Development in the Pearl River Delta Cities

2021 ◽  
Vol 3 (4) ◽  
pp. 116-123
Author(s):  
Jing Li ◽  
Shuqi Yao ◽  
Jieyi Lin

Green innovation is the technological innovation under the premise of environmental protection, energy conservation and emission reduction. Both technological innovation and green development need a lot of financial support. Does financial development effectively support the promotion of green innovation? This article selects 2009- 2018 panel data of nine cities in the Pearl River Delta and uses the non-radial direction distance function (NDDF) method of Data Envelopment Analysis to measure their efficiency of green innovation. Then, we use the Tobit model to verify to the effects of financial development on green innovation. The results showed that the index reflecting financial development scale of the Pearl River Delta’s cities, there is significantly negative correlation between the number of financial institutions and green innovation; the number of practitioners in financial institutions, the proportion of fiscal expenditures on science and technology, energy saving and environmental protection in total expenditures showed an evidently positive correlation between them. It indicates that financial development of the nine cities is good for the improvement of green innovation efficiency. Further, this paper uses substitution variables to conduct robustness test, and the above conclusions are still valid.

Author(s):  
Hongxu Guo ◽  
Zihan Xie ◽  
Rong Wu

Understanding green innovation efficiency (GIE) is crucial in assessing achievements of the current development strategy scientifically. Existing literature on measuring green innovation efficiency with considering environmental undesirable outputs at the city level is limited. Consulting existing studies, this paper constructs an evaluation index system to measure green innovation efficiency and its socioeconomic impact factors. Employing a super slacks-based measure (Super-SBM) model, which takes into account undesirable outputs (industrial wastewater emissions, industrial exhaust emissions and CO2 emissions), and a Global Malmquist–Luenberger index (GML), we calculate the green innovation efficiency of 15 cities in the Pearl River Delta (PRD) urban agglomeration from 2009 to 2017, exploring the impact factors behind green innovation efficiency using a Tobit panel regression model. The empirical results are as follows: Due to the heterogeneity of urban functional division and economic development in the Pearl River Delta, more than half of the region’s cities were found to be in ineffective or transitional states with respect to their green innovation efficiency. A GML decomposition index shows that technological efficiency and technological progress are out of step with one another in the Pearl River Delta, an asymmetry which is restricting regional green innovation growth. The influencing factors of industrial structure, the level of economic openness, and the urban informationization level are shown to have promoted green innovation efficiency in the Pearl River Delta’s cities, while government R&D expenditure and education expenditure exerted negative effects. This paper concludes by highlighting the importance of cooperation between the government and enterprises in achieving green innovation.


2014 ◽  
Vol 875-877 ◽  
pp. 1165-1169
Author(s):  
Chu Zhao

Technical innovation is the necessary path for industry in Pearl River Delta to success in industrial transformation and upgrading, the research about how to keep the total increase in the basis as well as to optimize the export structure of manufacturing, and how to keep the whole manufacturing benefits of the Pearl River Delta region sustainably is very necessary. Firstly, this paper adopts the multiple regression analysis to analyze how the technological innovation to optimize the industrial structure of manufacturing in the Pearl River Delta region. Secondly, the author makes a detailed explanation about the technical innovations impact on the manufactured exports with three different technology levels (high-to-low). Finally, this paper offers some specific advice according to the analysis results.


2010 ◽  
Vol 29 (6) ◽  
pp. 35-42
Author(s):  
Jianhua WANG ◽  
Linglong CAO ◽  
Xiaojing WANG ◽  
Xiaoqiang YANG ◽  
Jie YANG ◽  
...  

Wetlands ◽  
2021 ◽  
Vol 41 (4) ◽  
Author(s):  
Xiao-Shan Fang ◽  
Shuang Liu ◽  
Wei-Zhi Chen ◽  
Ren-Zhi Wu

AbstractThe Guangdong Xinhui National Wetland Park (GXNWP) in the Pearl River Delta is an important stopover for migratory birds in China and East Asia. Due to high levels of interference, high sensitivity and fragile environmental constraints, an efficient method to assess the health status of wetland parks such as the GXNWP is urgently needed for sustainable development. In this study, we proposed a habitat-landscape-service (HLS) conceptual model that can be used at the site scale to evaluate health status in terms of habitats, landscapes and services by considering the complex ecosystem of wetland parks. This HLS model included 28 evaluation indicators, and the indicator weights and health-grade divisions were based on expert scores using both the analytic hierarchy process (AHP) and fuzzy comprehension evaluation (FCE) methods. The results showed that the health status of the GXNWP was at the “subhealthy” level, with a membership function of 0.4643. This study found that habitat indicators (0.5715) were the key factors affecting the GXNWP health status, followed by service indicators (0.2856) and landscape indicators (0.1429). The HLS-AHP-FCE method provides a holistic health evaluation indicator system and diagnostic approach for rapidly developing wetland parks in the Pearl River Delta, China.


Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 749
Author(s):  
Yuan Gao ◽  
Zini Lai ◽  
Chao Wang ◽  
Haiyan Li ◽  
Yongzhan Mai

Water pollution can be monitored through the use of indicator species, including Brachionus calyciflorus. To do this, it is necessary to understand the species’ population ecology. Four surveys of zooplankton were conducted in May, August, and December 2018 and February 2019 in the Pearl River Delta, China, to examine the population characteristics of B. calyciflorus. The temporal and spatial distribution of abundance, biomass, dominance, and occurrence frequency were compared with those from 2012 to investigate the relationship between changes in the population of B. calyciflorus and environmental factors. The average abundance, dominance, and occurrence of B. calyciflorus in this survey were significantly higher than those of 2012 in all seasons. Principal component analysis showed that environmental factors such as the temperature, transparency, total nitrogen, and total phosphorus of water had a major impact on the abundance of B. calyciflorus. There was a significant positive correlation with transparency, total nitrogen, and total phosphorus of water, and a very significant positive correlation with water temperature. Overall, these results demonstrated that the distribution characteristics of B. calyciflorus can reflect pollution in water bodies and can be used to evaluate water quality. These research results provide a reference for evaluating China’s river health and can help to manage water quality in the Pearl River Delta.


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