Economic complexity, tourism, energy prices, and environmental degradation in the top economic complexity countries: fresh panel evidence

Abbasi, Kashif Raza; Lv, Kangjuan; Rădulescu, Magdalena; Shaikh, Pervez Ahmed

doi:10.1007/s11356-021-15312-4

Cited by 104 publications

(49 citation statements)

References 89 publications

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“…This outcome is in line with the study of Usman et al (2020) in the United States who established negative and significant CO 2 -GDP connections. Furthermore, the study of Abbasi et al (2021) Moreover, the CO 2 -GDP 2 interrelationship is negative which infers that a 1% upsurge in GDP 2 mitigates CO 2 by 0.5604% (model-1), 0.7580% (model-2), and 0.5211% (model-3) when other factors are kept constant. The negative CO 2 -GDP 2 interrelationship was also confirmed by the short-run coefficients.…”

Section: Findings and Discussionmentioning

confidence: 98%

“…Economic complexity is a broader assessment of a country's size, structural changes, and technological progress (Mealy and Teytelboym, 2020). Nonetheless, the complexity of an economy may assist governments in managing research, information, skills, and technical advancement, all of which support greener goods and ecologically friendly technologies, culminating in less ecological destruction (Abbasi et al, 2021). On the flipside, simple economies lack the means to manage efficient knowledge; as a result, goods are produced utilizing conventional technologies and nonrenewable energy sources.…”

Section: Methodology Theoretical Underpinning and Datamentioning

confidence: 99%

“…Furthermore, the proliferation of new technologies will make monitoring and openness on climate action easier. The present study is centered on the studies of Abbasi et al (2021) and Ahmad et al (2021) by incorporating renewable energy consumption into the model as follows:…”

Section: Methodology Theoretical Underpinning and Datamentioning

confidence: 99%

“…ECI is an indication of a country's economic progress in terms of export since this data only covers exported items. ECI is described in the international trade literature as the technological level and understanding of the production process (Abbasi et al, 2021;Pata, 2021). In other words, a nation's productive output necessitates a high degree of ingrained skills and knowledge (Hidalgo and Hausmann, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…As Hidalgo and Hausmann (2009) stated, ECI remains at the center of the rationale for the disparity in per capita income between nations. As a result, ECI is closely related to a nation's per capita income and wellbeing (Abbasi et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Modeling the Relationship Between Economic Complexity and Environmental Degradation: Evidence From Top Seven Economic Complexity Countries

Martins

Adebayo

Mata

et al. 2021

Front. Environ. Sci.

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The continuous growth in CO2 emissions of nations around the globe has made achieving the aim of sustainable development extremely challenging. Therefore, the current research assesses the connection between CO2 emissions and economic complexity in the top 7 economic complexity countries while taking into account the role of economic growth, renewable energy consumption, and globalization for the period between 1993 and 2018. The research aims to answer the following questions: 1) What is the association between CO2 and the regressors in the long-run? 2) What are the effects of renewable energy consumption, economic growth, economic complexity, and globalization on CO2 emissions? The research utilized the CS-ARDL, CCEMG and panel causality approaches to investigate these interconnections. The empirical outcomes revealed that economic growth and economic complexity increase CO2 emissions while renewable energy consumption and globalization mitigate CO2 emissions. The outcomes of the causality test revealed a feedback causal connection between economic growth and CO2, while a unidirectional causality was established from economic complexity, globalization and renewable energy consumption to CO2 emissions in the top 7 economic complexity countries.

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Section: Findings and Discussionmentioning

confidence: 98%

Section: Methodology Theoretical Underpinning and Datamentioning

confidence: 99%

Section: Methodology Theoretical Underpinning and Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modeling the Relationship Between Economic Complexity and Environmental Degradation: Evidence From Top Seven Economic Complexity Countries

Martins

Adebayo

Mata

et al. 2021

Front. Environ. Sci.

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Economic complexity and environmental degradation: Evidence from OECD countries

Aluko

Acheampong

2022

Bus Strat Env

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We augment the existing knowledge on the role of economic complexity in the environment and sustainable development debate by examining the effect of economic complexity on environmental degradation (measured by ecological footprint, CO 2 emissions, N 2 O emissions and greenhouse gas emissions) contingent on income, using data from 35 OECD countries between 1998 and 2017. With the fixed effects model estimator, we find that income facilitates economic complexity to mitigate ecological footprint, CO 2 emissions, N 2 O emissions and greenhouse gas emissions. Also, we fit a partial linear functional-coefficient model to find that income influences economic complexity to exert a nonlinear effect on ecological footprint, CO 2 emissions, N 2 O emissions and greenhouse gas emissions. We find that economic complexity leads to an increase in ecological footprint, CO 2 emissions, N 2 O emissions and greenhouse gas emissions at lower income levels but gradually dampens them as income rises. Finally, by applying the Method of Moments Quantile regression to control for distributional heterogeneity, we also find that the mitigating effect of economic complexity on ecological footprint, CO 2 emissions, N 2 O emissions and greenhouse gas emissions is transmitted through income across quantiles. The policy implications are discussed.

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The analysis of spatial–temporal effects of relevant factors on carbon intensity in China

Zheng

Long

Fan

2022

Stoch Environ Res Risk Assess

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The increasing carbon emissions have been a major concern for most countries around the world. And as a result, every country is concerned about developing appropriate strategies to curtail it. As a major economy and the largest carbon emitter in the world, China has pledged to reduce the carbon intensity by 60–65% by 2030, compared with 2005 levels, and achieve carbon neutrality before 2060. Therefore, the analysis of the impact of China’s carbon intensity is becoming an increasing important topic. Due to the spatial heterogeneity of carbon intensity, various spatial econometric models have been applied in this field. However, the existing literatures failed to consider the cross-products of relevant factors. This paper constructs our dynamic general nesting spatial panel model (GNS) with common factors to deal with the dilemma, and examines the direct and spatial–temporal spillover effects of industrial structure, GDP per capita, investment in anti-pollution projects as percentage of GDP and energy price on carbon intensity in China over the period 2003–2017. Our analysis shows that: (1) China’s carbon intensity showed the spatial agglomeration and temporal “inertia” from 2003 to 2017. (2) From the time dimension, the long-term effect of industrial structure first increased and then gradually decreased. (3) From the spatial dimension, industrial structure and investment in anti-pollution projects as percentage of GDP accounted for the main spatial heterogeneity. Furthermore, this paper attempts to provide policy implications to help reduce carbon intensity and achieve carbon neutrality in China.

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Economic complexity, tourism, energy prices, and environmental degradation in the top economic complexity countries: fresh panel evidence

Cited by 104 publications

References 89 publications

Modeling the Relationship Between Economic Complexity and Environmental Degradation: Evidence From Top Seven Economic Complexity Countries

Modeling the Relationship Between Economic Complexity and Environmental Degradation: Evidence From Top Seven Economic Complexity Countries

Economic complexity and environmental degradation: Evidence from OECD countries

The analysis of spatial–temporal effects of relevant factors on carbon intensity in China

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