Are economic complexity and eco-innovation mutually exclusive to control energy demand and environmental quality in E7 and G7 countries?

Doğan, Buhari; Ghosh, Sudeshna; Hoang, Dung Phuong; Chu, Lan Khanh

doi:10.1016/j.techsoc.2022.101867

Cited by 94 publications

(21 citation statements)

References 119 publications

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“…These results indicate lack of intensive spreading of eco-innovations to underscore its importance in reducing the ecological footprint. These results support the study by (Doğan et al,2022) but are not in conformity to the studies by (Erdoğan et al, 2022;Mahmood et al,2022).…”

Section: Discussioncontrasting

confidence: 53%

“…It also includes additional explanatory variables like forest cover (FOREST), renewable energy (RE) and per capita GDP (GDPPC). These variables, based on the existing literature can be described as underlying agents in the process of environmental quality (Afshan and Yaqoob, 2022; Doğan et al, 2022). The crucial contribution of the study in the extant empirical literature is the assessment of the moderating term between eco-innovations and agriculture with the moderation on the levels of ecological footprint.…”

Section: Model Speci Cationmentioning

confidence: 99%

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Renewable energy, forest cover, export diversification and ecological footprint: A machine learning application in moderating eco-innovations on agriculture in BRICS-T economies

Padhan

Ghosh²,

Hammoudeh

2023

Preprint

Self Cite

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According to UN Climate Change Conference (UNFCCC, 2022), COP26 summit the global leaders urged the nations to develop the production capability and enhance the domestic capacity through technological progression and structural transformation. The set of BRICS-T economies (Brazil, Russia, India, China, South Africa and Turkey) account for 43 per cent of the global population and occupy around 30 per cent of land area across the global landscape in 2017. Additionally, they account for about 40 per cent of global greenhouse gas emissions in 2017. Therefore, this study investigates the role of renewable energy, export diversification on ecological footprint for BRICS-T countries over a period of 1990–2019. This study also examines the moderating effect of ecological-innovation on agriculture in BRICS-T countries. We use the parametric and non-parametric econometrics techniques to empirically imply the relationship between these series. According to Augmented Mean Group and Kernel Regularized Least Square methods, the role of economic growth, agriculture, export diversification, ecological innovation and the moderating effect of ecological innovations on agriculture impact the ecological footprint in the long-run respectively. Indeed, non-parametric time-varying panel data models with fixed effects is used to check the robustness. The policy insights have been explained in the conclusion section. JEL classification : Q57; Q2; Q55; C14; C01

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Section: Discussioncontrasting

confidence: 53%

Section: Model Speci Cationmentioning

confidence: 99%

Renewable energy, forest cover, export diversification and ecological footprint: A machine learning application in moderating eco-innovations on agriculture in BRICS-T economies

Padhan

Ghosh²,

Hammoudeh

2023

Preprint

Self Cite

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“…Furthermore, as we expected, GDP has a positive impact on CO 2 emissions in developing countries, especially in E7 countries. When other macroeconomic conditions (influencing factors) are constant (e.g., FDI, TRO, FIN, INF, and GOE), the results according to FMOLS, DOLS, and CCR show that a 1% increase in GDP per capita will increase CO 2 emissions by 0.881%, 0.946%, and 0.875%, respectively, which indicates that the current economic growth has not reached the inflection point (inverted U-shaped relationship) for energy saving and emission reduction, i.e., the EKC assumption is valid for E7 countries (Doğan et al, 2022 ). Meanwhile, this also means that the rapid economic development of the E7 countries in the context of economic globalization has led to an increase in energy demand and thus to environmental degradation.…”

Section: Empirical Results and Discussionmentioning

confidence: 99%

“…Moreover, in the long term, the improvement of green innovation will reduce China’s CO 2 emissions, whereas the decline in green innovation will increase China’s carbon dioxide emissions. Similarly, Doğan et al ( 2022 ) examined the impact of green innovation on environmental quality in E7 and G7 countries using an augmented model, which found that green innovation reduced carbon emissions in G7 countries, but exacerbated environmental problems in E7 countries. This view is supported by the findings of Yuan et al ( 2021 ), Habiba et al ( 2022 ), Khattak et al ( 2020 ), and You et al ( 2022 ) for China, Top 12 Carbon Emitters, OECD countries, and the USA, respectively, which vary widely among countries.…”

Section: Literature Reviewmentioning

confidence: 99%

RETRACTED ARTICLE: Do renewable energy consumption and green innovation help to curb CO2 emissions? Evidence from E7 countries

Chen

Hao

2022

Environ Sci Pollut Res

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Global climate change is profoundly affecting human survival and development and is a major challenge facing the international community today. Therefore, this study aims to examine the effect of renewable energy consumption and green innovation on CO 2 emission reduction in E7 countries within the framework of macroeconomic indicators, and whether they can contribute to achieving carbon neutrality targets. To achieve the purpose of the study, firstly, the fully modified OLS, dynamic OLS, classical cointegration regression, Bayer–Hanck cointegration, and ARDL bounds test are employed in this study. The existence of a long-term cointegration or long-term linkage is confirmed by empirical evidence. Secondly, the empirical outcomes of FMOLS, DOLS, and CCR reveal that a 1% increase in renewable energy consumption and financial innovation reduces the CO 2 emissions by 0.357% (0.301%), 0.428% (0.336%), and 0.348% (0.306%), while a 1% rise in economic growth and inflation raises the CO 2 emissions by 0.881% (0.015%), 0.946% (0.043%), and 0.875 (0.022%), respectively. Similarly, the results of ARDL demonstrate that renewable energy consumption and financial innovation contribute to the improvement of environmental quality, while economic growth and inflation exacerbate the deterioration of environmental quality. However, green innovation has no apparent impact on environmental sustainability. Finally, in the short term, the paths of renewable energy consumption and economic growth on environmental sustainability under macroeconomic conditions are almost identical to those in the long term, while green innovation significantly improves the environmental quality of economic development in E7 countries. To sum up, to achieve sustainable economic and environmental development in the context of carbon neutrality, policy makers in developing countries should fully consider the role of renewable energy and green innovation, and actively strive to promote green and low-carbon energy development, to make new contributions to global environmental governance.

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“…These findings suggest that ecological innovation is the optimum determinant in making significant advancements in sustainable development, whether by limiting the ecologic impacts of production modes, improving nature's resilience to environmental stressors, or attaining a more productive and liable use of natural resources. These facts are in agreement with those published previously by Doğan et al (2022) (Doğan et al, 2022) and X. Ji.…”

Section: Discussion and Concluding Remarkssupporting

confidence: 94%

The influencing factors of CO2 emissions and the adoption of eco-innovation across G-7 economies: A novel hybrid mathematical and statistical approach

Rehman

Rehman²,

Mumtaz³

et al. 2022

Front. Environ. Sci.

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The present study empirically analyzes the role of eco-innovation in plummeting carbon dioxide (CO2) emissions in conjunction with renewable energy usage, foreign direct investment, and trade openness for the states in G-7 from 1990 to 2019 in a mathematical and statistical context. Under the dynamical framework, the estimates of mathematical grey relational analyses indicate that eco-innovation holds a stronger degree of association with CO2 emissions. Further, the estimates demonstrate that, compared to the other G-7 states, Japan is the country where eco-innovation is a more striking variable. However, renewable energy utilization seems weaker in Japan, which necessitates adopting renewable energy to curb carbon emissions in the region. Statistically, the odds ratio illustrates a similar pattern, demonstrating that the odds of occurrence for eco-innovation are much stronger in reducing the rising levels of carbon emissions within the G-7 states. Moreover, trade openness and foreign direct investment were revealed to be the leading contributors to carbon emissions in Germany and Canada, respectively, whilst appearing to be significant variables in lowering emissions in the United States and the United Kingdom. The outcomes of this investigation offer significant perspectives for policymakers in formulating holistic and environmentally friendly policies by embracing eco-innovation as a potentially significant component for sustainable economic expansion and environmental health.

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Are economic complexity and eco-innovation mutually exclusive to control energy demand and environmental quality in E7 and G7 countries?

Cited by 94 publications

References 119 publications

Renewable energy, forest cover, export diversification and ecological footprint: A machine learning application in moderating eco-innovations on agriculture in BRICS-T economies

Renewable energy, forest cover, export diversification and ecological footprint: A machine learning application in moderating eco-innovations on agriculture in BRICS-T economies

RETRACTED ARTICLE: Do renewable energy consumption and green innovation help to curb CO2 emissions? Evidence from E7 countries

The influencing factors of CO2 emissions and the adoption of eco-innovation across G-7 economies: A novel hybrid mathematical and statistical approach

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