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Although firms' digital transformation (FDT) and green technological innovation (GTI) are both critical for firm development, we still know little about the precise effects between the two or their influence mechanisms. Combining diffusion of innovation (DOI) theory and the technology–organization–environment (TOE) framework, this study analyzes a sample of listed non-financial Chinese firms from 2010 to 2021 using a fixed-effect and mediating effect model to reveal FDT's effect on GTI and its mechanism. Our findings show that (1) FDT can promote both GTI quantity and quality, but it is more significant for GTI quantity; (2) the positive effects can be obtained by reducing firm risk-taking and increasing R&D intensity; and (3) the role of FDT in promoting GTI is particularly significant in firms in the Midwest region, state-owned enterprises, and firms in high-tech sectors, but has negligible effect on high-polluting firms. Our conclusions remain robust after applying the Poisson model, excluding the effects of COVID-19, adopting the generalized method of moments instrumental variable regression, and using Sobel tests. The findings contribute to the literature by combining DOI and TOE into the same framework and empirically analyzing how FDT can influence GTI. • Studies how digital transformation (FDT) affects green technological innovation (GTI). • FDT improved GTI quantity to a much greater extent than it did GTI quality. • FDT had little effect on high-polluting firms. • Reveals two effective mechanisms: reducing firm risk and increasing R&D intensity [ABSTRACT FROM AUTHOR]

For the last two decades, Pakistan has faced various economic obstacles, the most significant of which is the sluggish pace of industrial expansion caused by the energy crisis. To close this gap, Pakistan's government has made several efforts to save energy and lower the country's power shortage in recent years. To bridge this gap, we concentrate on a few key drivers to demonstrate vibrant recommendations and evidence to policymakers. In this context, the study investigates the asymmetric relationship between renewable energy consumption (REC), non-renewable energy (NRE), terrorism, inflation, and international trade in the industrial sector from 1970 to 2018 in Pakistan. We employed a novel co-integration approach known as a Nonlinear Autoregressive Distributed Lag (NARDL) model with the Bayesian approach. The results show that the industrial sector is increasing due to positive shocks in REC, whereas negative shock in REC decreases significantly at a 5% level. Additionally, NRE, terrorism, and inflation are positive and have a long-term substantial effect on the industrial sector. The results suggest that the most effective strategy for Pakistan is to combat terrorism and vigorously promote renewable energy, highlighting its advantages to the environment and industrial development while avoiding non-renewable resources. [ABSTRACT FROM AUTHOR]

Balancing environmental objectives with energy security poses a significant challenge for Central and Eastern European (CEE) economies undergoing substantial energy sector reforms, particularly in the electricity sector. Apart from implementing market principles, improving electricity infrastructure and increasing the use of renewable energy sources (RES) are crucial for fostering industrial and overall economic growth. This study analyzes a panel of 15 Central and Eastern European economies (CEE) from 1995 to 2021. It employs various analytical techniques such as cross-sectional dependency testing, unit root testing, cointegration analysis, and the Augmented Mean Group (AMG) estimator. The results indicate that inefficient electricity infrastructure negatively impacts GDP and industry value-added (IVA) growth rates, regardless of control variables. Conversely, electricity generated from RES positively affects GDP and IVA growth rates in fully developed models. However, increased RES-generated electricity in models without control variables adversely affects IVA growth rates. These findings, coupled with the specific characteristics of CEE economies, lead to policy recommendations for sustainable economic and energy development. • The study examines the impact of electricity infrastructure and RES on GDP and industry value-added in CEE. • Electricity infrastructure inferiority negatively impacts GDP and industry value-added. • RES generation has a positive effect on GDP and industry value-added. • Policies fostering green energy and infrastructure boost economic sustainability. [ABSTRACT FROM AUTHOR]