Energy availability, especially derived from renewable sources, has sustainable effects on economic progress and environmental rectifications. However, using clean energy in the energy mix has been influenced by several macro fundamentals. The motivation of this study is to gauge the impact of uncertainties, environmental restrictions, and innovation on clean energy consumption for the period 1997–2021 by employing the new econometrical estimation techniques commonly known as CUP-FM and CUP-BC. Referring to the preliminary assessment with the slope of homogeneity, cross-sectional dependency, and the panel cointegration test, it is unveiled that research variables have exposed heterogeneity prosperities, cross-sectional dependence, and long-run association in the empirical equation. According to the empirical model output with CUP-FM and CUP-BC, EPU has a native statistically significant connection to clean energy consumption. At the same time, environmental tax and technological innovation have found beneficial effects on clean energy development. Additionally, the nonlinear estimation disclosed an asymmetric linkage between explanatory and explained variables in the long and short-run. Directional causality revealed a feedback hypothesis explaining the relationship between EPU, TI, and clean energy consumption. This study has offered policy suggestions based on the findings for future development.

Charting a Sustainable Future: The Impact of Economic Policy, Environmental Tax, Innovation, and Natural Resources on Clean Energy Consumption

Does environmental degradation matter for poverty? Clarifying the nexus between FDI, environmental degradation, renewable energy, education, and poverty in Morocco and Tunisia

Energy availability especially that derived from renewable sources has sustainable effects on economic progress and environmental rectifications. However, using clean energy in the energy mix has been influenced by several macro fundamentals. The motivation of this study is to gauge the impact of uncertainties, environmental restrictions and innovation on clean energy consumption for the period 1997–2021 by employing the new econometric estimation techniques commonly known as CUP-FM and CUP-BC. Referring to the preliminary assessment with the slope of homogeneity, cross-sectional dependency and panel cointegration test, it is unveiled that research variables have exposed heterogeneity prosperities, cross-sectional dependence, and long-run association in the empirical equation. According to the empirical model output with CUP-FM and CUP-BC, EPU has a native statistically significant connection to clean energy consumption. At the same time, environmental taxation and technological innovation have had beneficial effects on clean energy development. Additionally, the nonlinear estimation disclosed asymmetric linkage between explanatory and explained variables in the long and short run. Directional causality revealed a feedback hypothesis explaining the relationship between EPU, TI and clean energy consumption. The study has offered policy suggestions based on the findings for future development. 

Charting a Sustainable Future: The Impact of Economic Policy, Environmental Taxation, Innovation, and Natural Resources on Clean Energy Consumption

The assessment of sustainable tourism development in the rural areas of the Aktobe oblast of Kazakhstan involved thoroughly analyzing multiple dimensions. Environmental, socio-economic, and cultural sustainability aspects were considered to comprehensively understand the region’s tourism potential. The study began by evaluating the available tourism resources in rural Aktobe. This included assessing natural attractions such as landscapes, wildlife, and geological features, as well as cultural heritage sites and infrastructure like accommodation facilities and transportation networks. A crucial aspect of the study was to analyze the environmental impact of tourism activities in rural areas. This involved evaluating the effects on ecosystems and natural resources. The measures for conserving these resources were also identified. Another focus was on the socio-cultural aspects of tourism development. The study aimed to preserve local traditions, cultural heritage, and community identity amidst tourism growth. Strategies for achieving socio-cultural sustainability were devised. Ranking methods were employed to identify key factors influencing rural tourism development. These methods helped prioritize areas for improvement and resource allocation. A balanced approach was adopted to assess the interaction between different dimensions of sustainability. This ensured that environmental, economic, and socio-cultural aspects were considered equally to achieve overall sustainable tourism development. ArcGIS 10 was used for data analysis and visualization. Maps and charts were created to represent spatial and statistical information, aiding in identifying trends and patterns. The study findings were crucial for identifying priority areas for infrastructure development and formulating strategies and programs for rural tourism promotion. The study aimed to ensure that tourism development aligns with the principles of sustainable development, benefiting both the local communities and the environment. The study provided valuable insights into the current status of rural tourism in Aktobe oblast and offered recommendations for sustainable development, contributing to the region’s long-term prosperity. 

Assessment for the Sustainable Development of Components of the Tourism and Recreational Potential of Rural Areas of the Aktobe Oblast of the Republic of Kazakhstan

The objective of the research was to determine the effect of public services in the household on poverty in Peru, in the period 2021, for which a quantitative, non-experimental research approach was considered with a descriptive and correlational design. The information from the National Household Survey of the National Institute of Statistics and Informatics (INEI) database was used, considering the modules “Dwelling and Household Characteristics”, “Household Members’ Characteristics”, “Education”, “Employment and Income”, “Household Equipment”, “Summaries (Calculated Variables)” and “Citizen Participation”. It was possible to determine that the following variables had negative effects on household poverty in Peru: access to potable water, sanitation, electric power, cell phone services; achieving higher, secondary, and primary education levels; having a washing machine, motorcycle, tricycle, motorcycle taxi, computer, kitchen, refrigerator in the household; having a property title; being part of an association or organization; living in a rural residence area; and having remittances. However, the number of household members had a positive effect on poverty. Therefore, it was concluded that access to public services in the household contributed to reducing the probability of being poor in Peru.

/pdf/public-services-in-the-household-and-their-effect-on-poverty-26ql04qd.pdf

Public Services in the Household and Their Effect on Poverty, Analysis for the Peruvian Case, 2021

Drawing on three-wave panel data from China Family Panel Studies (CFPS) of 2014, 2016, and 2018, this paper measures rural households’ vulnerability to relative poverty using the three-stage feasible generalized least squares (FGLS) model. We analyze the impact of human capital on vulnerability to relative poverty by using the two-way fixed-effected model and panel quantile regression. Empirical results exhibited that labor force migration, health, education, and working experience all have a negative effect on vulnerability to relative poverty. Labor force migration has the greatest negative effect among the four factors. Heterogeneity analysis results exhibited that labor force migration has the biggest negative effect in the east region. Health and education have the greatest negative impact in the central region. Labor force migration, health, work experience, and education have a greater effect on nonpoor households than on poor households.

Human Capital and Rural Households’ Vulnerability to Relative Poverty: Evidence from China

As the world’s population structure is aging and China is at a critical stage in consolidating the results of poverty alleviation, this study intends to explore the pathways of the elderly group, which is very vulnerable to falling back into poverty, to prevent or slow down the possibility of this group falling back into poverty. In this study, 79 elderly farmers’ data were collected by household interviews as research samples, and the Vulnerability as Expected Poverty index was selected to measure the dynamic changes of poverty in aging farmers in Donglu Island Village. The correlation between the participation of aging farmers in the tourism industry and their own poverty vulnerability was analyzed through multiple linear regression. It is found that whether aging farmers participate in tourism is not correlated with their absolute poverty vulnerability. Whether aging farmers participate in tourism is significantly negatively correlated with their relative poverty vulnerability, and developing rural tourism and increasing the participation of aging farmers can alleviate the poverty vulnerability of aging farmers. Finally, with the mindset of “teach a man to fish and you feed him for a lifetime”, the development of rural tourism suitable for aging farmers is proposed.

https://www.mdpi.com/2071-1050/15/8/6800/pdf?version=1681809870

The Impact of Rural Tourism on the Poverty Vulnerability of Aging Rural Households

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Human Capital and Rural Households’ Vulnerability to Relative Poverty: Evidence from China

The Impact of Rural Tourism on the Poverty Vulnerability of Aging Rural Households