The interaction of PRGDP and Gi on SWB. by Feng Huang (62988)

“…Key findings include: (1) In temporal relationships, a 46.70% increase in GDP per capita implies a 0.38 increase in subjective well-being, while a 0.09 increase in the Gini coefficient means a 1.47 decrease in subjective well-being. (2) In spatial relationships, for every 46.70% increase in GDP per capita, subjective well-being rises by 0.51; however, this relationship is buffered by unfair distribution, and GDP per capita no longer significantly affects subjective well-being when the Gini index exceeds 0.609. …”

Descriptive statistics of variables. by Feng Huang (62988)

“…Key findings include: (1) In temporal relationships, a 46.70% increase in GDP per capita implies a 0.38 increase in subjective well-being, while a 0.09 increase in the Gini coefficient means a 1.47 decrease in subjective well-being. (2) In spatial relationships, for every 46.70% increase in GDP per capita, subjective well-being rises by 0.51; however, this relationship is buffered by unfair distribution, and GDP per capita no longer significantly affects subjective well-being when the Gini index exceeds 0.609. …”

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. …”

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. …”

Significant results summary of Eq (38) by the new weight (dependent variable: <i>lnrpgdp</i>). by Yimin Chen (4053979)

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The imbalance index of economic structure. by Yimin Chen (4053979)

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Spatial econometric model estimation results. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Demographic and economic characteristics of participants (frequencies and percentages). by Mehran Asadi-Aliabadi (8383110)

Heterogeneity analysis: Economic uncertainty. by Shihao Chen (304374)

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Sobel test for the significance of the mediation effect. by Getachew Magnar Kitila (19935139)

The identified significant high-rate spatial-temporal clusters of new detected leprosy cases in Yunnan, China, 2011–2020. by Xiaohua Chen (257762)

Scio-demographic and socio-economic characteristics of the respondents. by Nitai Roy (5619287)

Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically significant (<i>p</i> < 0.05) and non-significant (p > 0.05) values. by Oswaldo Maillard (20660661)

Sociodemographic and economic factors of study subjects, Ethiopia, EDHS 2005–2016 (N = 29,525). by Girma Beressa (9580436)

Table 1_Subjective spatial orientation discomfort is associated with decreased real-world spatial performance and lower cognitive function.docx by Johannes Gerb (10287758)

Socio-demographic and economic characteristics of respondents. by Shimels Derso Kebede (16813901)

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Impact of economic conditions, COVID-19 risk beliefs and anxiety. by Fabrice Etilé (4741332)

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Heatmaps for direction and significance of dependence on radial position for all pairs in HFF cells. by Elizabeth H. Finn (7060988)

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Spatial transfer probability matrix for synergy of HER and DIC. by Ying Xie (50016)

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Significant clusters of open defecation spatial window in Ethiopia, EDHS 2016 plotted using ArcMap 10.7. by Daniel Gashaneh Belay (12334351)

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