Sectorial study of technological progress and CO2 emission: Insights from a developing economy

Khan, Ali; Xie, En; Raza, Muhammad Yousaf; Khan, Naseer Abbas; Ali, Ahsan

doi:10.1016/j.techfore.2019.119862

Cited by 95 publications

(24 citation statements)

References 79 publications

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“…Khan et al ( 2020 ) investigated the sectorial effects on CO 2 emission in Pakistan over the period 1991–2017. The researcher revealed that while the agriculture and services sectors have a negative effect on CO 2 emissions, the construction, manufacturing, and transportation sectors contribute to the CO 2 emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

A comparative analysis of the relationship between innovation and transport sector carbon emissions in developed and developing Mediterranean countries

Çakar

Gedikli

Erdoğan

et al. 2021

Environ Sci Pollut Res

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Innovation technologies have been recognized as an efficient solution to alleviate carbon emissions stem from the transport sector. The aim of this study is to investigate the impact of innovation on carbon emissions stemming from the transportation sector in Mediterranean countries. Based on the available data, Albania, Algeria, Bosnia and Herzegovina, Croatia, Egypt, Morocco, Tunisia, and Turkey are selected as the 8 developing countries; and Cyprus, France, Greece, Israel, Italy, and Spain are selected as the 6 developed countries and included in the analysis. Due to data constraints, the analysis period has been determined as 1997–2017 for the developing Mediterranean countries and 2003–2017 for the developed Mediterranean countries. After determining the long-term relationship with the panel co-integration method, we obtained the long-term coefficients with PMG and DFE methods. The empirical test results indicated that the increments in the level of innovation in developing countries have a positive impact on carbon emissions due to transportation if the innovation results from an increase in patents. An increase in the level of innovation in developed countries has a positive impact on carbon emissions due to transportation if the innovation results from an increase in trademark. As a result, innovation level has a positive effect on carbon emissions due to transportation, and this effect is stronger for developed countries.

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Section: Literature Reviewmentioning

confidence: 99%

A comparative analysis of the relationship between innovation and transport sector carbon emissions in developed and developing Mediterranean countries

Çakar

Gedikli

Erdoğan

et al. 2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

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“…Functional perspective distinguishes social entrepreneurs from business entrepreneurs through organizational form, temporal view, perception of opportunity, and performance measurement and mission (Ali, Wang, Khan, Pitafi, & Amin, 2019; Austin, Stevenson, & Wei‐Skillern, 2006; Dacin, Dacin, & Matear, 2010). Indicative perspective deals with prosocial behavior as key and distinguishing characteristic, which triggers individuals' intention toward the formation of social enterprises (Grimes, McMullen, Vogus, & Miller, 2013; Khan, En, Raza, Khan, & Ali, 2020; Miller, Grimes, et al, 2012). Business entrepreneurs operate their business activities to reinvest or distribute profits among their investors (Bacq & Janssen, 2011; Sahasranamam & Nandakumar, 2018).…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

Impact of positivity and empathy on social entrepreneurial intention: The moderating role of perceived social support

Younis

Peng

Nadeem

et al. 2020

Journal of Public Affairs

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Social entrepreneurship is a growing area of interest among practitioners. Social entrepreneurship meets and satisfies social needs and brings social change through innovative ideas. This study aims to investigate the impact of positivity and empathy of individuals on social entrepreneurial intention. This study considers the mediating role of social entrepreneurial self‐efficacy between the relationship of positivity, empathy, and social entrepreneurial intention. In addition, this study investigates perceived social support as a boundary condition between the relationship of social entrepreneurial self‐efficacy and social entrepreneurial intention. Findings show that positivity and empathy positively influence social entrepreneurial self‐efficacy, which subsequently positively influences social entrepreneurial intention. Furthermore, results show that high perceived social support strengthens the relationship between social entrepreneurial self‐efficacy and social entrepreneurial intention. Discussions and implications based on the study findings are reported.

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“…Therefore, it is quite evident that the presence of green technology is an important parameter to promote clean energy and tackle climate change. However, to implement green technology for both short and long run, there is need for investment in R&D and innovation (Avom et al, 2020;Khan et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Technology policy and environmental quality at crossroads: Designing SDG policies for select Asia Pacific countries

Sinha¹,

Sengupta²,

Saha

2020

Technological Forecasting and Social Change

121

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Since the inception of Sustainable Development Goals (SDGs), the Asia Pacific countries are facing difficulties in attaining the SDG objectives, as maintaining the environmental quality has been a challenge for them. In this study, we have revisited the technology policies of these countries, and in doing so, we have tried to address the problem of environmental degradation, while addressing the issues of sustainable economic growth, clean and affordable energy, and quality education. In this pursuit, we have designed two indices for environmental degradation and technological advancement, and then analyzed the association between them following the Environmental Kuznets Curve (EKC) hypothesis. Following IPAT framework, and by using quantile approach, over a period of 1990-2017, we have found that the turnaround points of EKCs rise with the rise in quantiles, i.e. quantiles with low pollutions are having turnaround points within sample range, whereas quantiles with high pollutions are having turnaround points outside sample range. Using Rolling Window Heterogeneous Panel Causality test, unidirectional causality has been found running from technological advancement to environmental degradation.Following the results obtained from the analysis, we have tried to address the objectives of SDG

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Sectorial study of technological progress and CO2 emission: Insights from a developing economy

Cited by 95 publications

References 79 publications

A comparative analysis of the relationship between innovation and transport sector carbon emissions in developed and developing Mediterranean countries

A comparative analysis of the relationship between innovation and transport sector carbon emissions in developed and developing Mediterranean countries

Impact of positivity and empathy on social entrepreneurial intention: The moderating role of perceived social support

Technology policy and environmental quality at crossroads: Designing SDG policies for select Asia Pacific countries

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