Is there a link between cognitive abilities and renewable energy adoption: Evidence from Uzbekistan using micro data

Eshchanov, Bahtiyor; Abdurazzakova, Dilnovoz; Yuldashev, Oybek; Salahodjaev, Raufhon; Ahrorov, Farkhod; Komilov, A.; Eshchanov, Ruzumboy A.

doi:10.1016/j.rser.2021.110819

Cited by 25 publications

(10 citation statements)

References 31 publications

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“…Recent studies have investigated renewable energy adoption and focused on financial literacy [ 5 ], state ownership [ 6 ], social networking to adopt biogas in china [ 7 ], and The importance of prioritising measures to remove obstacles to the expansion and use of renewable energy sources [ 8 ], cognitive abilities [ 9 ], Modularity in policy priority setting and the rate of renewable energy adoption [ 10 ], adoption delay [ 11 ] Local leader’s influence [ 12 ], consumers’ protected values and perceived comfort [ 13 ], and government support [ 14 ]. Still, researchers have ignored the influence of environmental knowledge, environmental concern, health consciousness, and awareness about renewable energy sources and potential.…”

Section: Introductionmentioning

confidence: 99%

A moderated mediation model to predict the adoption intention of renewable wind energy in developing countries

et al. 2023

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Developing countries are deprived of resources, and their economies are dwindling. Energy shortfall is one of the leading issues in developing countries that not only shatter economies but is the leading cause of depletion of natural resources and environmental pollution. There is an urgent need to shift to renewable energy sources to save economies and natural resources and to save our ecological system. Aiming for this, we have collected a cross-sectional data set to study the household intentions of shifting to wind energy and analysed the moderated mediation interactions of the variable to better understand socio-economic and personal factors. 840 responses were analysed using smart-PLS 4.0; results revealed that cost value and social influence directly relate to renewable energy adoption. Environmental knowledge directly influences attitude towards the environment, and health consciousness influences perceived behavioural control. Results also revealed that social influence strengthens the indirect relationship between awareness of renewable energy and its adoption, while it weakens the indirect relationship between health consciousness and renewable energy adoption.

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Section: Introductionmentioning

confidence: 99%

A moderated mediation model to predict the adoption intention of renewable wind energy in developing countries

et al. 2023

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“…The empirical results revealed that a higher concertation of pollutants in the air negatively impact the stock of technologically innovative human capital-a higher-educated population engaged in R&D in enterprises, research centers and universities. Eshchanov et al [30] observed that cognitive abilities positively related to pro-environmental behavior and a favorable attitude toward renewable energy sources using household data of Uzbek households. Finally, Lin et al [11] explored the relationship between innovative human capital, carbon dioxide emissions and economic growth in Chinese provinces during 2003-2017 by employing System GMM.…”

Section: Literature Reviewmentioning

confidence: 99%

R&D Human Capital, Renewable Energy and CO2 Emissions: Evidence from 26 Countries

et al. 2022

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This study examines the long-term relationship between carbon emissions and a number of researchers engaged in Research and Development (R&D), economic development, foreign capital inflows, renewable energy and population growth in 26 countries between 1995 and 2015. Pedroni’s panel cointegration test confirms the cointegrating relationship between the variables. Long-term elasticities are derived from FMOLS regression. Researchers in R&D and renewable energy are negatively and significantly related to carbon emissions. There is a positive and significant long-term relationship between GDPs per capita and CO2 and between the FDI and CO2. Dumitrescu and Hurlin’s panel causality test revealed unidirectional causality running from economic development to carbon emissions and feedback hypotheses between the FDI and CO2 and between renewable energy and CO2.

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“…Moreover, the use of alternative data period and estimation methods such as cointegration or Geodector model can offer novel evidence on the link between renewables and CO 2 emissions in middle-income countries. Finally, following Obydenkova and Salahodjaev (2016), prospective studies should explore the role that institutions, real estate market, female empowerment and human capital play along with the renewable energy sector in explaining cross-national differences in CO 2 emissions (Eshchanov et al, 2021;Mirziyoyeva and Salahodjaev, 2021).…”

Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

Renewable Energy, Agriculture and CO2 Emissions: Empirical Evidence From the Middle-Income Countries

Majewski

Mentel²,

Dylewski³

et al. 2022

Front. Energy Res.

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This study explores the effect of renewable energy and agriculture on CO2 emissions in a sample of 94 middle-income countries for the years 2000–2015. Using two-step generalized method of moments (GMM) regression, we find there is a negative relationship between renewable energy production, agriculture value added and per capita CO2 emissions. If causal, a 1% increase in renewable electricity output leads to a 0.18% decrease in CO2 emissions. Our results remain robust when we include additional control variables. Our study suggests that policy tools such as subsidies or low interest loans can be used to promote renewable energy consumption in middle-income countries.

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Is there a link between cognitive abilities and renewable energy adoption: Evidence from Uzbekistan using micro data

Cited by 25 publications

References 31 publications

A moderated mediation model to predict the adoption intention of renewable wind energy in developing countries

A moderated mediation model to predict the adoption intention of renewable wind energy in developing countries

R&D Human Capital, Renewable Energy and CO2 Emissions: Evidence from 26 Countries

Renewable Energy, Agriculture and CO2 Emissions: Empirical Evidence From the Middle-Income Countries

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