Variable description. by Yintu Bao (12113769)

“…The analysis reveals that the SHRR program significantly reduces travel frequency, likely due to improved local accessibility that decreases the need for frequent trips. …”

Village characteristics. by Yintu Bao (12113769)

“…The analysis reveals that the SHRR program significantly reduces travel frequency, likely due to improved local accessibility that decreases the need for frequent trips. …”

Research data 2. by Yintu Bao (12113769)

“…The analysis reveals that the SHRR program significantly reduces travel frequency, likely due to improved local accessibility that decreases the need for frequent trips. …”

Balance test results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Mechanism analysis results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Endogenous test results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Heterogeneity analysis results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Robustness test results. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

The influencing factors of RLM. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Variable definitions and basic statistics. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Average and marginal effects of RLM on HWSW. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

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

“…Moreover, FDI and the non-linear form of FDI have no significant influence on ecological footprint. This study also highlights the importance of international agreements and frameworks, such as the Sustainable Development Goals and the Paris Agreement, in guiding nations towards a more sustainable future. …”

Autocorrelation test results. by Ozlem Kutlu Furtuna (20308206)

“…Moreover, FDI and the non-linear form of FDI have no significant influence on ecological footprint. This study also highlights the importance of international agreements and frameworks, such as the Sustainable Development Goals and the Paris Agreement, in guiding nations towards a more sustainable future. …”

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

“…Moreover, FDI and the non-linear form of FDI have no significant influence on ecological footprint. This study also highlights the importance of international agreements and frameworks, such as the Sustainable Development Goals and the Paris Agreement, in guiding nations towards a more sustainable future. …”

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

“…Moreover, FDI and the non-linear form of FDI have no significant influence on ecological footprint. This study also highlights the importance of international agreements and frameworks, such as the Sustainable Development Goals and the Paris Agreement, in guiding nations towards a more sustainable future. …”

Harmonisation phase total power analysed locally by the partners. by Tim P. Ahuis (19964467)

Results of the robustness test. by Zahra Moqadassi (20490131)

“…To fully capture the significant regional differences, the 28 countries are re-divided into four regions in accordance with their renewable energy RD&D investment level and total CO₂ emissions. …”

Descriptive statistics of variables. by Zahra Moqadassi (20490131)

“…To fully capture the significant regional differences, the 28 countries are re-divided into four regions in accordance with their renewable energy RD&D investment level and total CO₂ emissions. …”

R scripts. by Ehsan Ghafouri (21688451)

“…<div><p>Climate change has emerged as a significant driver of biodiversity loss, with profound implications for species distribution. …”

S1 Dataset - by Zahra Moqadassi (20490131)

“…To fully capture the significant regional differences, the 28 countries are re-divided into four regions in accordance with their renewable energy RD&D investment level and total CO₂ emissions. …”