The Effect of Green Finance on the Ecological and Environmental Quality of the Yangtze River Economic Belt

Tang, Decai; Hui, Zhang; Zhang, Jingyi; Dai, Yongguang; Boamah, Valentina

doi:10.3390/ijerph191912492

Cited by 16 publications

(7 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Under the model of green credit as the primary body and the diversified development of green securities, green insurance, green bonds, and other instruments, the development of green financial instruments plays a crucial role in promoting regional green transformation. Diversified green finance will improve innovation efficiency in green technology [64,65]. Thus, it will promote innovations in green financial products and increase financing for research and development of carbon finance, green bonds, and other financial products.…”

Section: Promote the Innovation Of Green Financementioning

confidence: 99%

How Do Green Finance and Green Technology Innovation Impact the Yangtze River Economic Belt’s Industrial Structure Upgrading in China? A Moderated Mediation Effect Model Based on Provincial Panel Data

Zhang

Sun

Tao³

et al. 2023

Sustainability

Self Cite

View full text Add to dashboard Cite

Industrial structure upgrading is a huge driving force for China’s green economic development. The Yangtze River Economic Belt (YREB), a crucial component of China’s spatial economic pattern, is facing the dual pressure of economic development and environmental protection. Therefore, it needs to have its industrial structure upgraded immediately. This article measures the development levels of green finance using the entropy method and bases its analysis on the panel data of 11 provinces (municipalities) in the YREB from 2005 to 2019. A moderated mediating effect model is then built to thoroughly examine the influence paths of green finance and green technology innovation on industrial structure upgrading. According to the empirical findings, green finance and green technology innovation have a significant direct role in promoting the upgrading of industrial structures. They reflect significant regional disparities across the East, Midland, and West. Second, green technology innovation has an effective transmission mechanism in green finance, boosting industrial structure upgrading. Third, environmental regulations positively regulate green finance’s direct and indirect routes to support industrial structure upgrading. This study is the first to combine green finance, green technology innovation, environmental regulation, and industrial structure upgrading under one research framework, broadening the research scope of industrial transformation. These research findings provide theoretical and practical guidance for upgrading China’s Yangtze River Economic Belt’s industrial structure.

show abstract

Section: Promote the Innovation Of Green Financementioning

confidence: 99%

How Do Green Finance and Green Technology Innovation Impact the Yangtze River Economic Belt’s Industrial Structure Upgrading in China? A Moderated Mediation Effect Model Based on Provincial Panel Data

Zhang

Sun

Tao³

et al. 2023

Sustainability

Self Cite

View full text Add to dashboard Cite

show abstract

“…The volatility of snail density may be associated with frequent ooding disasters that are considered to be responsible for the spread of snail and the variation of snail density [44]. The implementation of massive molluscicide and environmental modi cation projects became unrealistic affected by the rigorous policy of the Yangtze River protection and ecological restoration project [45,46]. Under the dual in uence of natural and social factors, the snail density showed an obvious uctuation and a slightly rising trend during the period.…”

Section: Spatial-temporal Effects Of the Change Of Snailmentioning

confidence: 99%

“…Environmental changes (such as oods, and water conservancy projects) may contribute to the diffusion of snail habitats and the rebound of the density [4,11,44]. The Yangtze River Economic Belt prohibits large-scale use of molluscicides and environmental modi cation [45,46]. This requires us to strengthen precise control and develop new environmentally friendly molluscicides.…”

Section: On Snail Controlmentioning

confidence: 99%

Three Gorges Dam: Differential determinants and spatial-temporal effects of the change of snail density

Gong

Tong

Jiang

et al. 2023

Preprint

View full text Add to dashboard Cite

BACKGROUND The abundance of Oncomelania hupensis snail can promote the transmission of schistosomiasis japonica. Snail distribution varies spatially and temporally in different geographical regions. Hence, we investigated differential drivers of snail density between the downstream and upstream areas of Three Gorges Dam (TGD), and spatial-temporal changes in snail abundance.METHODS We deployed the snail survey at 200 sites over 5 years to monitor a dynamic change in snail abundance within the Yangtze River basin. Corresponding variables that might affect snail abundance, such as Meteorology, vegetation, terrain, and economy, were collected from multiple data sources. We conducted the Bayesian spatial-temporal modeling framework to investigate the differential determinants and spatial-temporal effects of the change of snail density.RESULTS Obvious volatility for snail density was detected in the downstream area of TGD, whilst a small increment in the upstream area. For the downstream area of TGD, Snail density was positively associated with the average minimum temperature in January of the same year, annual normalized difference vegetation index of the previous year (NDVI), the 2nd quartile of average annual relative humidity of the previous year (RH), the 3rd quartile of RH, the 4th quartile of RH. Snail density was negatively associated with the average maximum temperature in July of the previous year, and annual night-time light of the previous year. An approximately inverted “U” curve of relative risk was detected among sites with a greater average annual ground surface temperature of the previous year. For the upstream area, snail density was positively associated with NDVI, the 2nd quartile of total precipitation of the previous year (Pre), the 3rd quartile of Pre, and the 4th quartile of Pre. Snail density was negatively associated with Slope.CONCLUSIONS Collectively, our study demonstrated a rebound in snail density between 2015 and 2019. In particular, temperature, humidity, vegetation, and human activity were the main drivers affecting the snail abundance in the downstream area of TGD, while precipitation, slope, and vegetation were the main drivers affecting the upstream snail abundance. This evidence can assist the authorities to execute more precise strategies for snail investigation and control.

show abstract

“…The volatility of snail density may be associated with frequent flooding disasters that are considered to be responsible for the spread of snails and the variation in snail density [ 41 ]. The implementation of massive molluscicide and environmental modification projects became unrealistic, affected by the rigorous policy of the Yangtze River Protection and Ecological Restoration Project [ 24 , 42 ]. Under the dual influence of natural and social factors, the snail density showed an obvious fluctuation and a slightly increasing trend during the study period.…”

Section: Discussionmentioning

confidence: 99%

Three Gorges Dam: Potential differential drivers and trend in the spatio-temporal evolution of the change in snail density based on a Bayesian spatial–temporal model and 5-year longitudinal study

et al. 2023

View full text Add to dashboard Cite

Background Snail abundance varies spatially and temporally. Few studies have elucidated the different effects of the determinants affecting snail density between upstream and downstream areas of the Three Gorges Dam (TGD). We therefore investigated the differential drivers of changes in snail density in these areas, as well as the spatial–temporal effects of these changes. Methods A snail survey was conducted at 200 sites over a 5-year period to monitor dynamic changes in snail abundance within the Yangtze River basin. Data on corresponding variables that might affect snail abundance, such as meteorology, vegetation, terrain and economy, were collected from multiple data sources. A Bayesian spatial–temporal modeling framework was constructed to explore the differential determinants driving the change in snail density and the spatial–temporal effects of the change. Results Volatility in snail density was unambiguously detected in the downstream area of the TGD, while a small increment in volatility was detected in the upstream area. Regarding the downstream area of the TGD, snail density was positively associated with the average minimum temperature in January of the same year, the annual Normalized Difference Vegetation Index (NDVI) of the previous year and the second, third and fourth quartile, respectively, of average annual relative humidity of the previous year. Snail density was negatively associated with the average maximum temperature in July of the previous year and annual nighttime light of the previous year. An approximately inverted “U” curve of relative risk was detected among sites with a greater average annual ground surface temperature in the previous year. Regarding the upstream area, snail density was positively associated with NDVI and with the second, third and fourth quartile, respectively, of total precipitation of the previous year. Snail density was negatively associated with slope. Conclusions This study demonstrated a rebound in snail density between 2015 and 2019. In particular, temperature, humidity, vegetation and human activity were the main drivers affecting snail abundance in the downstream area of the TGD, while precipitation, slope and vegetation were the main drivers affecting snail abundance in the upstream area. These findings can assist authorities to develop and perform more precise strategies for surveys and control of snail populations. Graphical Abstract

show abstract

The Effect of Green Finance on the Ecological and Environmental Quality of the Yangtze River Economic Belt

Cited by 16 publications

References 59 publications

How Do Green Finance and Green Technology Innovation Impact the Yangtze River Economic Belt’s Industrial Structure Upgrading in China? A Moderated Mediation Effect Model Based on Provincial Panel Data

How Do Green Finance and Green Technology Innovation Impact the Yangtze River Economic Belt’s Industrial Structure Upgrading in China? A Moderated Mediation Effect Model Based on Provincial Panel Data

Three Gorges Dam: Differential determinants and spatial-temporal effects of the change of snail density

Three Gorges Dam: Potential differential drivers and trend in the spatio-temporal evolution of the change in snail density based on a Bayesian spatial–temporal model and 5-year longitudinal study

Contact Info

Product

Resources

About