Old wine in a new bottle: Applying the novel dynamic ARDL simulations approach to explore the impact of energy efficiency, financial development, economic growth, foreign direct investment, and urbanization on CO2 emissions.

Achieving carbon neutrality targets is crucial while considering the adverse impacts of carbon dioxide emissions (CE) on human life and the ecosystem. Therefore, its socioeconomic drivers have frequently been probed in the existing body of literature. Therefore, we investigate the impact of energy efficiency, FDI, financial development, urbanization, and economic growth on CE in Pakistan from 1975 to 2020. For this purpose, we apply the novel dynamic ARDL simulation approach to retrieve the short- and long-run estimates. The empirical results confirm that cointegration exists among the considered variables. Further, both the short- and long-run results reveal that energy efficiency impedes emissions, whereas urbanization, financial development, and FDI increase emissions. Considering the outcomes, there is a need to enhance energy efficiency in Pakistan. For this purpose, investment in technological advancements and innovations is required. Moreover, R&D in the energy sector should be promoted.

Powering environmental sustainability through renewable energy and natural resources: a Dynamic ARDL simulation approach.

The objective of this study is to examine the role of renewable energy consumption and natural resource rents along with control variables of globalization and economic growth on the environmental sustainability of Jordanian economy from 1985 to 2019. These variables have been selected based on theory and empirical literature. We apply a Dynamic Autoregressive Distributed Lag (D-ARDL) technique along with robustness checks of Fully modified OLS (FMOLS), Dynamic OLS (DOLS), and Canonical Cointegrating Regression (CCR) techniques in order to achieve the above goal. The result from the analysis confirms that the environmental Kuznets curve (EKC) is not valid for the Jordan in either long or short term. Our estimation results also confirm the highly significant and negative impact of renewable energy on CO2 emissions in both the long and short term. However, both natural resource rents and globalization are significant and positive in the long run, implying that these variables are detrimental to the environmental quality. The interaction analysis presents detrimental effect of globalization in terms of renewable energy while it shows beneficial effect of globalization in terms of natural resource for environmental quality. The frequency domain causality result shows causality at different frequencies across the variables. Based on the results, several policy directions are provided in order to achieve environmental sustainability in Jordan.

Unveiling the nexus between marine energy consumption, seaborne trade, and greenhouse gases emissions from international shipping.

As a result of the globalization of production processes and the expansion of international trade, both water-based trade and the use of marine energy are expanding quickly. Marine energy consumption is rapidly increasing as a result of globalization. Despite being ignored for many decades, reducing marine emissions is today a top priority among European nations. Thus, the present study contributes to the existing literature by investigating the nexus between marine energy consumption, seaborne trade, and GHG emissions by employing time series data for eight Northern European nations from 2005 to 2017. The extended EKC model and three proxy variables for seaborne trade (i.e., container throughput, liner shipping connectivity index, and trade openness) are used to investigate the nexus between these variables. FMOLS and DOLS methods have been employed to control the problems of endogeneity and serial correlation. Only in Denmark, Norway, and Sweden did the data corroborate an inverted U-shaped relationship (the EKC curve) between maritime GHG emissions and economic development. The increase in energy utilization across all nations directly increased marine GHG emissions; however, the adverse effect of energy consumption on the environment is severe in Denmark, Norway, and Sweden. Container throughput, linear shipping connectivity index, and trade openness exhibit a positive impact on marine GHG emissions. The impact of seaborne proxy variables is severe in Denmark and Sweden. In order to have a robust assessment and to confirm the validity and uniformity of the results, Driscoll-Kraay standard errors (DKSE) and robust standard error (RSE) regression techniques are being employed.

An empirical analysis of the nexus between digital financial inclusion, industrial structure distortion, and China's energy intensity.

Stimulating the shift to low-carbon energy and decreasing energy intensity are crucial strategies for green growth. Reducing energy intensity is an important measure to achieve the goal of "double carbon" and building a beautiful new China. Based on the provincial panel data of China from 2011 to 2020, this paper empirically tests the relationship among digital financial inclusion, industrial structure distortion, and energy intensity by using the spatial Durbin model and the intermediary effect method. The results show that the development of digital financial inclusion can promote the decline of energy intensity, and industrial structure distortion has a partial intermediary effect in the relationship between digital financial inclusion and energy intensity. Because of this, it is important to speed up the development of digital financial inclusion, increase the innovation of digital financial inclusion products and services, strengthen the supervision of digital financial inclusion, and reduce the distortion of the industrial structure so that digital finance can play its full role in reducing energy intensity.

The roles of organic farming, renewable energy, and corruption on biodiversity crisis: a European perspective.

The loss of biodiversity has profound implications for nature's contributions to people and their health. This study intends to examine the factors responsible for biodiversity loss as well as the coping mechanisms to address this crisis in the context of 35 European economies covering the 2009-2018 period. The study utilises both the static and dynamic panel estimation techniques to examine the above issue. Specifically, the study applied Driscoll and Kraay (1998a), Driscoll and Kraay (Rev Econ Stat 80:549-560, 1998b) and Panel Corrected Standard Approach (PCSE) for the static panel models. As for dynamic panel models, the study employs linear dynamic panel model by Arrelano and Bond (Rev Econ Stud 58:277-297, 1991) and Arrelano and Bover (J Econom 68:29-51, 1995)/Blundell and Bond (J Econom 87:115-143, 1998) system generalised methods of moments (GMM). Morandeover for robustness purposes, fixed and random effect models are also applied. The findings indicate that renewable energy use increases biodiversity crisis whereas organic farming is beneficial for biodiversity preservation in Europe. Corruption and gender gap were found to increase the biodiversity crisis. The evidence also suggests a positive and significant effect of forest area, e-governance and social progress on biodiversity. Finally, the study provides insightful implications for stakeholders and practitioners associated with energy and biodiversity conservation in Europe.

The spatial impact of digital economy on energy intensity in China in the context of double carbon to achieve the sustainable development goals.

Using the provincial panel data of China during 2012-2019, the present study employed spatial Durbin error model to explore the spatial effect of the digital economy on energy intensity. The results show that both digital economy and energy intensity have spatial autocorrelation, showing the distribution characteristics of spatial aggregation. The digital economy has a significant negative influence on energy intensity. The result shows a significant spatial spillover effect of digital economy on energy intensity, and the development of the digital economy in neighboring regions reduces energy intensity in the central region. Additionally, industrial structure, urbanization, energy price, and foreign direct investment have a heterogenous impact on energy intensity. Thus, it is crucial to give importance to the development of the energy intensity, plan the spatial layout of the digital industry as a whole, drive the coordinated growth of the regional digital economy, quicken the upgrading of industrial structure, promote urbanization, perfect the energy price formation mechanism, raise the entry threshold for foreign direct investment, to effectively reduce the energy intensity, and facilitate the smooth realization of the "double carbon" goal.