Showing papers in "Technological Forecasting and Social Change in 2022"

TL;DR: In this paper , the influence mechanism and policy intervention effects of green finance on green innovation by applying the difference-in-differences, mediation effects, and panel vector autoregression models using China's regional data from 2010 to 2019.

TL;DR: Wang et al. as mentioned in this paper explored the impact of the urban innovation environment on the effect of green technological innovations on CO2 emissions and found that green technology innovations can contribute to CO2 emission mitigation after 2010, while the effect was not significant in Chinese cities before 2010.

TL;DR: In this article , the authors examined the impact of economic globalization, financial development, energy use, economic development and technological innovation with consumption and territory-based emissions from 1990Q1 to 2019Q4 in Pakistan.

TL;DR: In this paper, the authors analyzed the directional spillover impacts and connectedness for financial and trade globalization, high-tech industries, and environmental footprints of China, and found positive spillover effects from financial globalization (FGI), and economic complexity towards ecological footprints.

TL;DR: In this paper, the authors investigated the role of Fintech development in reducing greenhouse gas emissions and found that it can in fact help to reduce the greenhouse gas emission, after the inclusion of appropriate control variables.

TL;DR: In this article , the Grey Technique for Order Preference by Similarity to Ideal Solution (G-TOPSIS) is used to rank the alternative solutions to these barriers and the overall ranking indicates that "technological complexity" ranks highest among all sub-barriers across all categories.

TL;DR: In this article , the authors analyzed the directional spillover impacts and connectedness for financial and trade globalization, high-tech industries, and environmental footprints of China, and found positive spillover effects from financial globalization (FGI), and economic complexity towards ecological footprints.

TL;DR: In this article , a detailed analysis of the literature based on emerging themes was conducted with a focus on illuminating the path of circular economy implementation, which revealed that IoT and AI play a key role in the transition towards the circular economy transformation.

TL;DR: Wang et al. as discussed by the authors examined the relationship between environmental regulation, green technology progress, and total factor productivity to explore the role of social, environmental, and technological factors in manufacturing development.

TL;DR: In this paper, the authors explore the antecedents of firm agility and identify the factors enabling them to better compete in today's turbulent landscape, characterized by technological advancements and digitalization.

TL;DR: In this article , the authors investigated the role of Fintech development in reducing greenhouse gas emissions and found that it can in fact help to reduce the greenhouse gas emission, after the inclusion of appropriate control variables.

TL;DR: In this article , the role of ICT and education with environmental quality by controlling the roles of globalization, income, and financial development for developing countries over the period of 1996-2019.

TL;DR: Wang et al. as discussed by the authors examined the relationship between environmental regulation, green technology progress, and total factor productivity to explore the role of social, environmental, and technological factors in manufacturing development.

TL;DR: In this paper , the authors examined the long-run effect of green technological innovation, institutional quality, renewable energy, fossil fuel energy, and economic growth on CO2 emissions in 25 African countries from 2000 to 2018.

TL;DR: In this paper , the authors investigated the impacts of technology and Kyoto Protocol in addition to several control variables to energy transition by applying the novel econometric method of Sigmund and Ferstl (2021) on the annual data from 2000 to 2019 for G-7 countries.

TL;DR: In this article , the authors explore the antecedents of firm agility and identify the factors enabling them to better compete in today's turbulent landscape, characterized by technological advancements and digitalization.

TL;DR: In this article , a framework based on multiple time scales and market conditions was proposed to quantify the interrelationship between the carbon futures and green bond markets, where the maximum overlap discrete wavelet transform (MODWT) and two quantile methods were used to decompose the sequences into various frequencies and quantiles.

TL;DR: In this paper, the authors developed a research model based on the theory of persuasion, which was constructed to investigate the relative weight of the parasocial relationship (PSR) formation between influencers and followers.

TL;DR: Wang et al. as discussed by the authors employed a spatial difference-in-differences (SDID) approach to investigate both the direct and indirect effects of low-carbon pilot policy on technological innovation.

TL;DR: In this article , the authors identify the key contributors and knowledge structure of business and management research involving the application of complexity theory and fuzzy-set qualitative comparative analysis (fsQCA) to better predict and explain real-world business phenomena using a configurational approach.

TL;DR: In this article , the authors employed the Wavelet-based quantile on quantile approach to investigate the capacity of renewable energy consumption (REC) and technological innovation (TI) of promoting net-zero emissions in the U.S., respectively.

TL;DR: In this paper , the authors explore the potential of blockchain technology to contribute to sustainable transformations within food supply chains and reveal the opportunities for blockchain technology as a sustainability-oriented innovation that can ensure fairer supply chains, enhance food traceability, and drive environmental sustainability.

TL;DR: In this paper, the authors assess the ability of various machine learning models, in order to forecast the credit ratings of eco-friendly firms, and find that classification and regression trees have the most precision for the credit rating predictions.

TL;DR: Based on panel data from 30 provinces and cities in China from 2013 to 2019, this paper analyzed the impacts of renewable energy technology innovation and industrial structure upgrading on green development using a spatial Durbin model.

TL;DR: Wang et al. as mentioned in this paper explored the influence of different public participation constraints on green technological innovation, and examined the moderating role of environmental regulatory enforcement in Chinese provincial data from 2009 to 2018.

TL;DR: In this article , the authors used a differences-in-differences approach to explore the effects of emission reduction and conducted a cost-benefit analysis of the pilot cities, which showed that pilot cities reduced carbon emissions annually by approximately 2.72% and associated gross domestic product loss from 2013 to 2017 was approximately 1.19 trillion yuan.

TL;DR: The role of the educator is critical in this new model, confirming the necessity to have technical resources and qualified educators to improve students' competence in order to work successfully in the digital economy as mentioned in this paper.

TL;DR: In this article , the authors developed a research model based on the theory of persuasion, which was constructed to investigate the relative weight of the parasocial relationship (PSR) in social media influencer marketing.

TL;DR: In this paper , the authors evaluated the potential effectiveness of environmental regulations and technical innovation in facilitating emission reductions, and highlighted the complexity of the relationships between carbon dioxide (CO2) emissions, energy efficiency, economic performance, environmental regulation and technological innovation using the vector error correction model (VECM).

TL;DR: In this paper , the authors proposed a monopoly market under the consideration of EGCs and developed a simulation-based optimization model to measure the optimal behavior of green technology investment to reduce carbon emission.