مقاله انگلیسی هزینه های دولتی در نوآوری های انرژی و اثرات CO2

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عنوان فارسی:

هزینه های دولتی در نوآوری های انرژی و اثرات CO2: شواهد از کشورهای منتخب OECD

عنوان انگلیسی:

Public spending on Energy innovations and CO2 impacts: Evidence from selected OECD countries

کد محصول: M1772

سال نشر: ۲۰۲۵

نام ناشر (پایگاه داده): الزویر

نام مجله: Green Technologies and Sustainability

نوع مقاله: علمی پژوهشی (Research Article)

متغیر : دارد

فرضیه: ندارد

مدل مفهومی: مدل ریاضی دارد

پرسشنامه : ندارد

تعداد صفحه انگلیسی:  ۵ صفحه PDF

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چکیده فارسی

Abstract  

The relationship between public spending on Energy innovations (R&D of renewable and non-renewable energy, and energy efficiency) and CO2 intensity at constant purchasing power are investigated in this study. A Panel-NARDL model was used for the first time in 10 OECD countries (1990–۲۰۲۰) to evaluate the asymmetric relationship between energy innovative variables and CO2 impacts in the long and short run. In other words, this study aims to monitor how changes in public spending on R&D for renewable and non-renewable influence CO2 emissions. The results show that while an increase in the public budget for R&D of renewable energy will decrease the CO2 intensity in the long run, a positive relationship exists between these variables in the short run. Likewise, the result demonstrates that a cut in public spending on Fossil fuel R&D leads to an increase in the short horizon and a decrease in the long-run CO2 emissions per unit of GDP. The finding implies the substantial impact of R&D in both renewable and non-renewable energy on reducing CO2 emissions over time. In addition, CO2 emissions per unit of GDP respond positively to R&D public spending on energy efficiency. An increase in public expenditure on R&D of energy efficiency can induce economic activity and enhance CO2 emissions. All in all, the 30 years’ analysis of data from the selected OECD countries substantiates the right strategy of reducing the CO2 emissions of these countries by applying the public budget to promote R&D in energy sectors. This study results in contrast with those studies that found no relationship between R&D on renewable energy and CO2 impacts.

Keywords: Public spending, Energy innovations, CO2, OECD countries, PNARDL

۱. Introduction

The impact of research and development (R&D) on the development of energy sectors is a controversial issue. Although the effects of R&D on CO2 emission and environmental degradation have been investigated substantially, the consensus about the actual influence has been disputable [1–۷]. Due to the inconclusive impact of R&D on CO2 emission, it appears necessary to concentrate our efforts on examining explicitly the influence of R&D on renewable and fossil fuel sectors and measuring their impact on CO2 emission. It is evident that the adoption of renewable energy is accompanied by numerous obstacles, most of which are expected to be resolved through research and development efforts. For example, one of the main hindrances to using renewable energy is the concern about this sector’s capital intensity which cannot be tackled effectively in the short run. R&D can reduce the cost of employing renewable energy and make it a sustainable replacement for fossil fuel energy. Similarly, the industrial sectors continue to rely heavily on non-renewable energy, resulting in CO2 emissions, highlighting the need to employ R&D to enhance fossil fuel efficiency…

۵.Discussion and conclusions

In this study, by employing the Panel Non-Linear ARDL model the relationship between Energy innovations and CO2impact for 10 OECD countries is assessed. The main advantage of the PNARDL model is attributed to isolating the positive and negative shocks of independent variables on dependent variables in short and long horizons [29]. Asa result, for the first time, we succeeded in investigating how CO2intensity responds to a rise or decline in the public R&D budget of energy innovations simultaneously. The result of the study indicates that the relation between energy efficiency and CO2intensity per unit of GDP is positive. Although, this result might seem counterintuitive, as one would typically expect to find a negative relationship between two indicators…