Nexus between urbanization, emission, openness, and energy intensity: panel study across income groups

A review of renewable energy based power supply options for telecom towers

Telecom services play a vital role in the socio-economic development of a country. The number of people using these services is growing rapidly with further enhance growth expected in future. Consequently, the number of telecom towers that are critical for providing such services has also increased correspondingly. Such an increase in the number of telecom towers in a country implies a corresponding increase in the electricity demand of the country. Moreover, in view of growing concerns about climate change, it is necessary that the decarbonization of telecom towers is prioritized so as to minimize their carbon footprint. In view of the above, the primary objective of this paper is to provide a comprehensive analysis of various renewable energy-based systems and the advantages they offer for powering telecom towers, based on a review of the existing literature and field installations. Telecom towers are powered by hybrid energy systems that incorporate renewable energy technologies such as solar photovoltaic panels, wind turbines, fuel cells, and microturbines. Utilizing these systems helps to reduce the consumption of fossil fuels and consequently mitigates the anthropogenic carbon emissions. Moreover, information related to growth of the telecom industry, telecom tower configurations and power supply needs, conventional power supply options, and hybrid system combinations and their benefits. Several field installations of renewable energy-based hybrid systems have also been summarized. This review can help to evaluate appropriate low-carbon technologies and also to develop policy instruments to promote renewable energy-based telecom tower power systems.

Do technological innovations and trade openness reduce CO2 emissions? Evidence from selected middle-income countries

This paper examines the role of trade openness and innovation in reducing CO₂ emissions in middle-income countries with the goal of improving environmental quality. The generalised method of moments (GMM) method is used to estimate the long-run association between variables and Dumitrescu-Hurlin causality test is used to examine causality for a panel of 23 middle-income countries from 1994 to 2018. The findings refute the existence of an inverted u-shape relationship between innovation and CO₂ emissions. On the trade front, environmental deterioration is found to be relatively more severe in low middle-income countries than upper middle-income countries. Contrarily, the existence of the environment Kuznets curve (EKC) hypothesis for both country groups is also supported by the data; however, the fall in the EKC curve is insignificant for low middle-income countries. Implying that the quest to control carbon emissions has just begun in low middle-income countries and they must target a higher level of green innovation to reduce the ever-rising CO₂ emissions. It is also suggested to promote economic growth through knowledge spillovers and to establish a pollution level standard for trading and manufacturing sectors which generate the most contaminated waste.

Does energy consumption, economic growth, urbanization, and population growth influence carbon emissions in the BRICS? Evidence from panel models robust to cross-sectional dependence and slope heterogeneity

This paper examined the nexus between economic growth, energy consumption, urbanization, population growth, and carbon emissions in the BRICS economies from 1990 to 2019. In order to yield valid and reliable outcomes, modern econometric techniques that are vigorous to cross-sectional dependence and slope heterogeneity were employed. From the findings, the studied panel was heterogeneous and cross-sectionally dependent. Also, all the series were first differenced stationary and co-integrated in the long run. The Augmented Mean Group (AMG) and the Common Correlated Effects Mean Group (CCEMG) estimators were employed to estimate the elastic effects of the predictors on the explained variable, and from the output of both estimators, energy consumption worsened environmental quality via high carbon emissions. Also, the AMG estimator affirmed economic growth to be a significantly positive determinant of carbon emissions. However, both estimators confirmed urbanization and population growth as trivial predictors of the emissivities of carbon. On the causal connections amidst the series, there was bidirectional causality between economic growth and carbon emissions, between energy consumption and economic growth, between economic growth and population growth, between energy consumption and urbanization, and between economic growth and urbanization. Lastly, a causation from urbanization to carbon emissions was unfolded. Policy implications are further discussed.