Tourism is one of the fastest-growing and most visible sectors of the global economy, contributing significantly to boosting a nation’s economy. Currently, tourism-led economic growth considering sustainable approaches is becoming increasingly important in public policy. Recent urban and regional studies have begun to focus on the sustainability of tourism from social, economic, environmental, and cultural perspectives. The research aims to identify the most important issues and barriers to sustainable tourism development in Uzbekistan and proposes the most effective culturalization strategies to overcome those barriers. This paper involves the application of Global RPM (Globalization, Rationality, Professionalism, and Morality) analysis in combination with SANEL HERMES (Sightseeing, Admission paying, Night touring, Experiencing, Learning, Healing, Enjoying, Rest and Relaxing, Memento shopping, Eating and Drinking, and Staying) model based on data from a variety of sources, including literature review, participation interview, tourist survey, and expert questionnaire to identify and classify influencing factors that show existing barriers to sustainable tourism in Uzbekistan. Finally, a set of culturalization strategies is proposed, evaluated, and ranked by experts using a Quantitative Strategic Planning Matrix. The results of the survey have shown that tourism activities are currently not sustainable in a satisfactory manner. However, if the policymakers consider the relevant strategies and take this study into account, as well as its findings, then Uzbekistan can be made more attractive in terms of sustainable tourism.

This study investigates how life expectancy is influenced by CO₂ emissions, health spending, GDP, water usage, agricultural output, and renewable and non-renewable energy consumption within the Aral Sea basin, which is an environmentally catastrophic zone in the world. This research utilized data from the years 2002 to 2020 and employed various econometric approaches, including FMOLS, DOLS, and Driscoll–Kraay. The outcomes of the study reveal that health spending, GDP, water productivity, agriculture output, energy consumption, and human capital have a positive impact on life expectancy, but CO₂ emissions have a negative impact on life expectancy. The most important policy takeaway from this study is the need to develop and implement comprehensive policies that take into account health spending, GDP, water, agricultural output, energy consumption, and education level in order to ensure life longevity.

This study examines the long-run relationship between carbon dioxide (CO₂) emissions and key macroeconomic and sectoral drivers in ten ASEAN economies from 1995 to 2023. Employing Driscoll–Kraay standard errors, Prais–Winsten regression, heteroskedastic panel-corrected standard errors, Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegrating Regression (CCR) estimators, the analysis accounts for cross-sectional dependence, slope heterogeneity, and endogeneity. Results indicate that GDP exerts a more-than-unitary positive effect on emissions, with a negative GDP-squared term supporting the Environmental Kuznets Curve. Agriculture raises emissions through land-use change and high-emission cultivation practices, while tourism shows a negative association likely reflecting territorial accounting effects. Trade openness increases emissions, highlighting the carbon intensity of export structures, whereas foreign direct investment exerts no significant net effect. These results suggest that ASEAN economies must accelerate renewable energy adoption, promote climate-smart agriculture, embed enforceable environmental provisions in trade policy, and implement rigorous sustainability screening for FDI to achieve low-carbon growth trajectories.

Environmental sustainability concerns are growing worldwide. Reducing carbon dioxide (CO₂) emissions is crucial to combating global warming and reaching sustainable global economic development. Many recent studies have focused on key indicators of CO₂ emissions, but less consideration has been given to associated factors such as renewable energy and human capital. This article applies the two-step system FOD-GMM (Forward-Orthogonal Deviations-Generalized Method of Moments) to estimate the role of renewable energy and human capital in reducing environmental degradation in Europe and Central Asia. The results reveal that renewable energy consumption and human capital have a significant negative impact on CO₂ emissions in the EU and Central Asian countries, government efficiency has a positive effect on CO₂ emissions, and economic development has a neutral effect, confirming the strong role of renewable energy and human capital in reducing CO₂ emissions in EU and Central Asian countries. The role of human capital and renewable energy in promoting CO₂ reduction should be fully utilized. Policymakers should develop infrastructure for renewable energy and education to support the decrease in CO₂ emissions in Europe and Central Asia.

This study investigates whether information and communication technology (ICT) constitutes a sustained driver of economic growth in four Central Asian economies—Kazakhstan, Kyrgyzstan, Tajikistan, and Uzbekistan—over the period 2000–2022. Using an extended endogenous growth framework, this study employs the following long-run growth model: economic growth is specified as a function of ICT development, gross capital formation, trade openness, human capital, government effectiveness, and inflation. A composite ICT index is constructed using Principal Component Analysis (PCA). Long-run relationships are examined using a panel cointegration approach, and long-run elasticities are estimated using FMOLS, DOLS, and CCR techniques. The results reveal that ICT development exerts a negative and statistically significant effect on economic growth in the long run, indicating limited technological absorptive capacity and insufficient institutional readiness in the region. In contrast, capital formation, trade openness, human capital, and government effectiveness positively and significantly promote growth, while inflation hampers economic performance. The findings suggest that ICT investment alone is insufficient for sustainable growth without complementary institutional strengthening, human capital development, digital skills enhancement, improved broadband quality, and governance reforms to increase the productive use of ICT.

Central Asia (CA) is a young integrated region formed after the collapse of the Soviet Union, with most of its infrastructure based on fossil fuels. The traditional energy and water infrastructure is facing huge inefficiency and technical losses. This study investigates the transition of the green, blue, and energy economies in Central Asia using a small-dimensional panel dataset on five countries, Uzbekistan, Kazakhstan, Kyrgyzstan, Tajikistan, and Turkmenistan, over the period 1995–2018. The authors analyze the impact of ecological footprint, water withdrawal, and energy consumption on gross domestic product. In applying the Panel Vector Error Correction Model, evidence was found supporting the long-running association between variables. Furthermore, the adjustment coefficients suggest that only GDP growth will adjust toward equilibrium. Overall, the findings suggest a more effective role of green transition compared to blue and energy transitions.