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This study investigated the determinants of green energy adoption among small and medium-sized enterprises (SMEs) in Ekiti State, Nigeria. Primary data was obtained from 320 participants through a well-structured questionnaire. The data was analyzed using descriptive and inferential statistics. Logistic regression analysis was employed to ascertain the impact of solar energy usage by SMEs, while a one-sample t-test was utilized to examine the hypothesis that there was no substantial disparity in green energy expenditure between agricultural and non-agricultural SMEs in the research region. The findings indicated that non-agricultural SMEs were highly examined (72.2%) compared to agricultural SMEs (27.8%). Most SMEs had completed secondary school, while some had OND/NCE (23.1%) and B.Sc./HND (20.6%) degrees. The entrepreneurs had 7.1 years of business experience and earned an average monthly salary of N92,206.30. The utilization of solar energy was the predominant approach (71.9%) for alleviating the environmental effects of greenhouse emissions. Three significant factors that influenced the utilization of solar energy by small business owners were the average monthly estimated power costs (-6.211E-005), the average cost of wiring a small firm's production environment (1.934E-005), and the BEDC service support rating (1.806). SMEs experienced an abnormally high rate of inaccurate billing (90%) from the power distribution company (BEDC) and an unreliable power supply (89%) with less than 4 hours of energy each day. The t-test results indicate a significant difference in green energy investment between the two groups, at a level of significance of 1%. This study suggests that the Ekiti State government should actively stimulate the growth of green energy among SMEs by promoting collaboration, increasing awareness, and fostering public-private partnerships.
This study investigated the determinants of green energy adoption among small and medium-sized enterprises (SMEs) in Ekiti State, Nigeria. Primary data was obtained from 320 participants through a well-structured questionnaire. The data was analyzed using descriptive and inferential statistics. Logistic regression analysis was employed to ascertain the impact of solar energy usage by SMEs, while a one-sample t-test was utilized to examine the hypothesis that there was no substantial disparity in green energy expenditure between agricultural and non-agricultural SMEs in the research region. The findings indicated that non-agricultural SMEs were highly examined (72.2%) compared to agricultural SMEs (27.8%). Most SMEs had completed secondary school, while some had OND/NCE (23.1%) and B.Sc./HND (20.6%) degrees. The entrepreneurs had 7.1 years of business experience and earned an average monthly salary of N92,206.30. The utilization of solar energy was the predominant approach (71.9%) for alleviating the environmental effects of greenhouse emissions. Three significant factors that influenced the utilization of solar energy by small business owners were the average monthly estimated power costs (-6.211E-005), the average cost of wiring a small firm's production environment (1.934E-005), and the BEDC service support rating (1.806). SMEs experienced an abnormally high rate of inaccurate billing (90%) from the power distribution company (BEDC) and an unreliable power supply (89%) with less than 4 hours of energy each day. The t-test results indicate a significant difference in green energy investment between the two groups, at a level of significance of 1%. This study suggests that the Ekiti State government should actively stimulate the growth of green energy among SMEs by promoting collaboration, increasing awareness, and fostering public-private partnerships.
Household energy consumption plays a critical role in the context of global climate change. Utilizing data from the 2018 China Social Survey (CGSS), this study empirically examined the impact of subjective socioeconomic status (SES) on household green energy consumption behaviors using probit and ordered probit models. The mechanism of influence was further analyzed through the mediated effect approach. The results found include the following: (1) Although the proportion of households participating in green energy policies is similar to those not participating, the proportion of households deeply participating in multiple policies is very low; (2) subjective SES significantly influences both the rate and depth of household participation in green energy policies; (3) internet usage and understanding of green energy policies serve as mediating mechanisms for the promotive effect of subjective SES; and (4) subjective SES showed significant heterogeneity in its effects on different gender and education level groups. These findings contribute to the understanding of the drivers of household green energy use decisions and provide an important reference for governmental policymaking to enhance participation rates and degrees in green energy participation. Implications of these findings highlight the potential for targeted policies that address internet accessibility and educational outreach, which could significantly enhance the effectiveness of green energy initiatives across diverse socioeconomic groups.
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