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Emerging economies are experiencing considerable economic changes due to change in energy demand and CO 2 emissions. To explore the link between energy demand and CO 2 emissions, this study disaggregates energy consumption into renewable and nonrenewable, and investigates its impact on carbon (CO 2 ) emissions by incorporating the role of trade openness using the environment Kuznets curve (EKC) framework. Emerging economies from 1990 to 2015 are examined based on Morgan Stanley Capital International’s (MSCI’s) classification. This empirical study uses cross-sectional dependence (CD) test and second-generation panel unit root test for precise estimation. The Pedroni and Westerlund panel cointegration tests are used to examine the long-run equilibrium. Continuously updated fully modified (CUP-FM) and continuously updated bias-corrected (CUP-BC) approaches are applied to investigate long-run output elasticities while the vector error correction model (VECM) is used to examine the direction of causal relationships among the variables. The results show that renewable energy consumption affects the CO 2 emissions negatively while nonrenewable energy consumption positively impacts the CO 2 emissions. The study also supports the EKC hypothesis. Trade openness adversely affects the CO 2 emissions which are an imperative inclination of these economies towards globalization. Moreover, in the long run, energy consumption from renewable energy and economic growth Granger cause CO 2 emission, nonrenewable energy, and trade openness. In the short run, renewable energy Granger causes economic growth, while economic growth Granger causes nonrenewable energy. The study offers some vital policy suggestions for these emerging economies and some interesting lessons for the developing economies.

The transport infrastructure plays an imperative role in a country’s progress. At the same time, it causes environmental degradation due to extensive use of fossil fuels. The transport system of Pakistan is largely dependent on nonrenewable energy sources (oil, coal, and gas), which are hazardous to environmental quality. This research uses an autoregressive distributive lag model (ARDL) to examine the impact of oil prices, energy intensity of road transport, economic growth, and population density on carbon dioxide (CO 2 ) emissions of Pakistan’s transport sector during the 1971–2014 period. The ARDL bounding test examines the cointegration and long-run relationships among the variables, and the directions of causal relationships are found through the Granger causality vector error correction model (VECM). The long-run results indicate that increases in oil prices and economic growth help to reduce the transport sector’s CO 2 emissions, while rising energy intensity, population concentration, and road infrastructure increase them, with population playing a dominant role. The findings of this study can help authorities in Pakistan to develop suitable energy policies for the transport sector. Among other recommendations, the study recommends investment in renewable energy projects and energy-efficient transport systems (e.g., light train, rapid transport system, and electric busses) and environmental taxes (subsidies) on the vehicles that use fossil fuels (renewable energy).

This paper investigates the impact of economic growth, energy consumption, tourism, trade openness, and population density on the ecological footprints in Thailand over the period from 1974 to 2016. We applied the augmented Dickey–Fuller and Zivot–Andrews unit root tests to check the stationary properties of the data. The ARDL bounding test approach and VECM Granger causality were used to investigate (i) the long-run and short-run effects and (ii) directions of such effects respectively. The long-run results showed that economic growth, energy consumption, and trade openness have positive relationships with the ecological footprint, while tourism and population density are negatively associated with the ecological footprint in Thailand. The results of VECM Granger causality confirmed that the bidirectional causality (i) between tourism and population density in the long run and (ii) between trade openness and population density in the short run. Furthermore, the unidirectional causality runs from the ecological footprint, economic growth, energy consumption, and trade openness to tourism and population density in the long run. The country policy combined with economic growth, energy consumption, tourism, international trade, and population density perspectives need to be revisited towards sustainable development by mitigating the effects of these variables on environmental depletion especially the ecological footprint. Graphical abstract

The energy sector has become the largest contributor to greenhouse gas (GHG) emissions. Among these GHG emissions, most threatening is CO 2 emission which comes from the consumption of fossil fuels. This empirical work analyzes the roles of renewable energy consumption and non-renewable energy consumption in CO 2 emissions in Pakistan. The empirical evidence is based on an auto-regressive distributive lag (ARDL) model of data from 1970 to 2016. The disaggregate analysis reveals that renewable energy consumption has an insignificant impact on CO 2 emission in Pakistan and that, in the non-renewable energy model, natural gas and coal are the main contributors to the level of pollution in Pakistan. Economic growth positively contributes to CO 2 emission in the renewable energy model but not in the non-renewable energy model. Policies that emphasize the contribution of renewable energy to economic growth and that add more clean energy into the energy mix are suggested.

The linkage between high concentration of greenhouse gases (GHGs) and climate change is well recognized as there is severe influence of climate change on public health. Carbon dioxide is most prominent GHG which deteriorates the environment and impacts human health. On the parallel, economic growth also affects health conditions sometimes positively or vice versa. The objective of this research work is to examine the dynamic linkages among CO 2 emissions, health expenditures, and economic growth in the presence of gross fixed capital formation and per capita trade by using auto regressive distributive lag (ARDL) model for Pakistan covering annual data from the year 1995–2017. Our empirical results show that there is significant long run as well as short-term causal relationship between health expenditure, CO 2 emissions, and economic growth in Pakistan. Bidirectional relationship of Granger causality is found between health expenditures and CO 2 emissions, and further between health expenditures and economic growth. Short-run unidirectional causality is running from carbon emissions to health-related expenditures. The bidirectional causal relationship is also investigated between carbon emissions and growth as well as gross fixed capital formation and growth. Then, policy recommendations towards controlling pollution, particularly CO 2 emissions and health expenditures without compromising economic growth are suggested. Graphical abstract .

This research work reconnoiters the impact of nonrenewable energy (NRE) consumptions, environmental pollution, and mortality rate on human capital in the presence of economic growth and two common diseases, measles and tuberculosis (TB) in Pakistan. The study uses data from 1995 to 2017 and employs the Autoregressive Distributive Lag (ARDL) model to investigate cointegration and long-run dynamics. Results indicate that nonrenewable energy (oil, coal, and gas) increase air pollution, measles, TB cases, and mortality rate, which affect the human capital in Pakistan. The results of the ARDL confirm the long-run and short-run effects of fossils fuels, air pollution, and diseases on human capital. The results of the Granger Causality confirm the feedback hypothesis between nonrenewable consumption and human capital, between air pollution and human capital. Measles and TB diseases Granger cause human capital. The study recommends some essential points for energy management, environmental management, and diseases control programs to uplift the human capital in Pakistan.

The energy sector has become the largest contributor to greenhouse gas (GHG) emissions. Among these GHG emissions, most threatening is CO emission which comes from the consumption of fossil fuels. This empirical work analyzes the roles of renewable energy consumption and non-renewable energy consumption in CO emissions in Pakistan. The empirical evidence is based on an auto-regressive distributive lag (ARDL) model of data from 1970 to 2016. The disaggregate analysis reveals that renewable energy consumption has an insignificant impact on CO emission in Pakistan and that, in the non-renewable energy model, natural gas and coal are the main contributors to the level of pollution in Pakistan. Economic growth positively contributes to CO emission in the renewable energy model but not in the non-renewable energy model. Policies that emphasize the contribution of renewable energy to economic growth and that add more clean energy into the energy mix are suggested.

Economic development has long acknowledged the significance of financial innovation and technological advancement. Communication technology increases the availability of information, generates new modes of communication, restructures production processes, and enhances the efficacy of a wide range of economic operations. This study investigates the effects of digital financial inclusion and information and communication technology (ICT) on economic growth in 38 OECD nations between 2004 and 2020, with a focus on the contributions of financial development and investments in non-financial assets. To this end, advanced econometric methodologies are employed to conduct an exhaustive empirical analysis utilizing second-generation panel unit root and cointegration techniques. The results demonstrate a positive correlation between digital financial inclusion, information and communication technology, population growth, and non-financial investments in OECD nations. It is recommended that OECD policymakers promote digital financial inclusion by utilizing cost-effective digital technologies to reach currently financially excluded and underserved populations. This can be achieved through a variety of formal financial services that are tailored to their needs and responsibly delivered at a cost that is affordable to customers and sustainable for providers. Moreover, policymakers are recommended to promote information and communication technologies that strengthen the means for implementing Sustainable Development Goals through international cooperation and coordination, technology transfer, capacity building, strengthening multi-stakeholder partnerships, and data monitoring and accountability. Finally, a detailed conclusion is provided to discuss the research limitations and future directions.

Many researchers and intellectuals focused on the topic of organizational citizenship behavior for the environment (OCBE); however, employees’ pro-environmental behaviors, such as eco-helping, eco-civic engagement, and eco-initiatives, are often being ignored. Also, the investigation of the stimulating factors behind these behaviors remains weak. Hence, this research aims to explore the role of environmental transformational leadership (ELT) in these three types of organizational citizen behaviors for the environment (OCBE) considering the indirect effects of psychological empowerment and leader-member exchange (LMX). We examined the effects of meditation by using four steps for mediation analysis and the Sobel test. Chi-square ( χ 2 ) tests for observing the difference were also applied. The results from a survey of 500 employees from the manufacturing industry in China provide that environmental transformational leadership contributes indirectly and directly to promoting environmental behavior within organizations due to the inspirational nature of transformational leaders. Furthermore, the intentions of employees for organizational environmental behavior stimulate on account of a high sense of leader-member exchange and psychological empowerment. Based on these findings, the study suggests that leadership in organizations should facilitate their employees with psychological empowerment and sharing of information and initiative regarding the environment for boosting OCBE. It is also recommended that at the time of recruitment and selection of employees, they should be given orientations regarding environmental protection and resource conservation. Moreover, organizations should promote the transformational style of leadership to achieve environment-related goals.