Moran’s I value, Z value and P value of CCD-GFEE. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Green finance index system. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Temporal evolution of urban EE in western China. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Spatial evolution trend of green finance index. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

CCD-GFEE driver index system. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Spatial evolution of urban EE in western China. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

CCD-GFEE evaluation criteria. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Ecological efficiency index system. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Conceptual model. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Cross-sectional dependence results. by Ozlem Kutlu Furtuna (20308206)

“…These empirical results are vital for regulators, emphasizing the need for a holistic and multidimensional approach to both economic prosperity and environmental protection.</p></div>…”

Autocorrelation test results. by Ozlem Kutlu Furtuna (20308206)

“…These empirical results are vital for regulators, emphasizing the need for a holistic and multidimensional approach to both economic prosperity and environmental protection.</p></div>…”

Pesaran’s CADF test results for Model I. by Ozlem Kutlu Furtuna (20308206)

“…These empirical results are vital for regulators, emphasizing the need for a holistic and multidimensional approach to both economic prosperity and environmental protection.</p></div>…”

Descriptive statistics of related variables. by Ozlem Kutlu Furtuna (20308206)

“…These empirical results are vital for regulators, emphasizing the need for a holistic and multidimensional approach to both economic prosperity and environmental protection.</p></div>…”

Table 1_An empirical study on the evolution and driving factors of energy-related carbon emissions in the Yangtze River Economic Belt.xlsx by Yi Zhu (105054)

“…<p>This study analyzes energy-related carbon emissions in the Yangtze River Economic Belt (YREB) from 2000 to 2022 using regional energy consumption data and IPCC guidelines. …”

Image 6_Study on the ecosystem service flow based on the relationship of between supply and demand in Yangtze River Economic Belt.jpeg by Ming Lei (161082)

“…From 2015 to 2020, the number of areas with balanced supply and demand of ecosystem services in the Yangtze River Economic Belt decreases and the number of areas with unbalanced supply and demand increases, which is related to the changes in the level of economic development and land use patterns. 3). …”

Image 3_Study on the ecosystem service flow based on the relationship of between supply and demand in Yangtze River Economic Belt.jpeg by Ming Lei (161082)

“…From 2015 to 2020, the number of areas with balanced supply and demand of ecosystem services in the Yangtze River Economic Belt decreases and the number of areas with unbalanced supply and demand increases, which is related to the changes in the level of economic development and land use patterns. 3). …”

Image 5_Study on the ecosystem service flow based on the relationship of between supply and demand in Yangtze River Economic Belt.jpeg by Ming Lei (161082)

“…From 2015 to 2020, the number of areas with balanced supply and demand of ecosystem services in the Yangtze River Economic Belt decreases and the number of areas with unbalanced supply and demand increases, which is related to the changes in the level of economic development and land use patterns. 3). …”

Image 2_Study on the ecosystem service flow based on the relationship of between supply and demand in Yangtze River Economic Belt.jpeg by Ming Lei (161082)

“…From 2015 to 2020, the number of areas with balanced supply and demand of ecosystem services in the Yangtze River Economic Belt decreases and the number of areas with unbalanced supply and demand increases, which is related to the changes in the level of economic development and land use patterns. 3). …”

Image 4_Study on the ecosystem service flow based on the relationship of between supply and demand in Yangtze River Economic Belt.jpeg by Ming Lei (161082)

“…From 2015 to 2020, the number of areas with balanced supply and demand of ecosystem services in the Yangtze River Economic Belt decreases and the number of areas with unbalanced supply and demand increases, which is related to the changes in the level of economic development and land use patterns. 3). …”

Image 1_Study on the ecosystem service flow based on the relationship of between supply and demand in Yangtze River Economic Belt.jpeg by Ming Lei (161082)

“…From 2015 to 2020, the number of areas with balanced supply and demand of ecosystem services in the Yangtze River Economic Belt decreases and the number of areas with unbalanced supply and demand increases, which is related to the changes in the level of economic development and land use patterns. 3). …”