Coupling coordination degree and driving factors of new-type urbanization and low-carbon development in the Yangtze River Delta: based on nighttime light data

Study on the Coupling Coordination between New-Type Urbanization and Water Ecological Environment and Its Driving Factors: Evidence from Jiangxi Province, China

“…Therefore, Jiangxi Province would need to change the mode of economic development, vigorously develop education, promote the upgrading of industrial structure, reasonably optimize the allocation of resources, speed up the construction of resource-saving and environment-friendly cities, and promote the further coupling coordination development of new-type urbanization and water ecological environment in Jiangxi Province cities. The regression results are similar to those of Zhao et al [ 23 ] on the driving factors behind coupling coordination degree between new-type urbanization and ecological environment, and also similar to those of Li and Zhang [ 41 ] on the driving factors behind coupling coordination degree between new-type urbanization and ecological efficiency.…”

“…Many factors affect the coupling coordination development of new-type urbanization and water ecological environment. Based on the existing relevant research results [ 41 ], and in combination with the actual situation, this paper conducts quantitative investigation by setting the degree of coupling coordination of new-type urbanization and water ecological environment as the dependent variable, and specifying the following independent variables: economic development level, resource agglomeration ability, investment in scientific and technological innovation, education level, opening-up degree, government capacity and industrialization level. See Table 3 for the explanation of specific dependent and independent variables.…”

County carbon emissions in the Yangtze River Delta region: Spatial layout, dynamic evolution and spatial spillover effects

“…At the provincial level, Jiangsu Province has the largest carbon emissions, which have reached 569 million tons in 2018, accounting for 33% of the total amount of the Yangtze River Delta; Shanghai's carbon emissions have shown an obvious growth trend, increasing from 135 million tons to 548 million tons from 2000-2018, accounting for 27%-32% of the carbon emissions of the Yangtze River Delta; Zhejiang Province and Anhui Province have relatively less urban carbon emissions. The conclusions of the carbon emission data at the provincial level are similar to the findings of Gao and Li et al This indicates to some extent that the dataset we used is credible (Gao et al, 2014;Li et al, 2022). In terms of carbon emission growth rate, Jiangsu Province's carbon emission growth rate fluctuated sharply between 2006 and 2013, peaking at 24% in 2007 and dropping to a low of -14% in 2012; Shanghai's carbon emission growth rate was higher than the overall carbon emission growth rate of the Yangtze River Delta between 2003 and 2009, and was comparable to the overall carbon emission growth rate of the Yangtze River Delta after 2010; Anhui Province and Zhejiang Province had a similar decreasing trend.…”

“…The expansion of production to meet the growing demand will inevitably increase the consumption of energy and resources, resulting in increased carbon emissions. At the same time, the reason why population growth has a suppressive effect on carbon emissions in neighboring regions in the short term is that, on the one hand, the results of production expansion caused by population concentration are radiated to neighboring regions, and in the case of regional supply and demand equilibrium, the expansion of production scale in one region leads to the reduction of production scale in neighboring regions, which in turn leads to the reduction of carbon emissions, i.e., there is industrial competition in the Yangtze River Delta region; on the other hand, it is because Population flow follows the first law of geography, the population inflow area has a siphoning effect on the population of neighboring areas, and the reduction of population in neighboring areas leads to the reduction of carbon emissions (Li et al, 2022).…”

“…The economically developed regions are vigorously developing tertiary industries, while the economically relatively underdeveloped regions become the acceptance sites of the transferred industries from the developed regions. These transferred industries are often energy-consuming industries with high carbon emissions, so the expansion of the economic scale in the region will lead to the increase of carbon emissions in the neighboring regions, and the decrease of the share of secondary industries in the region will also lead to the increase of carbon emissions in the neighboring regions (Li et al, 2022). The direct effect of technological progress on carbon emissions is significant, and the spillover effect is not significant, indicating that reducing energy consumption per unit of GDP is an important way to curb local carbon emissions.…”