scholarly journals Modeling the Dynamic Linkage between Tourism Development, Technological Innovation, Urbanization and Environmental Quality: Provincial Data Analysis of China

2021 ◽  
Vol 18 (16) ◽  
pp. 8456
Author(s):  
Zhang Chenghu ◽  
Muhammad Arif ◽  
Khurram Shehzad ◽  
Mahmood Ahmad ◽  
Judit Oláh
Keyword(s):  
Technological Innovation ◽  
Environmental Degradation ◽  
Environmental Quality ◽  
Carbon Emissions ◽  
Tourism Development ◽  
The Other ◽  
Economic Methodology ◽  
Causality Test ◽  
Panel Causality ◽  
Long Run

This study investigates the linkage between tourism development, technological innovation, urbanization and environmental degradation across 30 provinces of China. Based on data from 2001 to 2018, the study used an advanced economic methodology for the long-run estimate, the Augmented Mean Group (AMG) estimator, which accounts for heterogeneity in slope parameters and dependencies across countries. The empirical results show that tourism development degrades environmental quality, while technological innovation mitigates carbon emissions. Further, findings show that urbanization increases carbon emissions, while an inverted U-shaped relationship exists between economic growth and environmental degradation, implying the existence of EKC in China. Further, the Dumitrescu–Hurlin panel causality test shows that any policy aimed at tourism development or technological innovation would substantially contribute to environmental degradation, but not the other way round.

scholarly journals Determinants of Consumption-Based Carbon Emissions in Chile: Application of Non-Linear ARDL

2021 ◽  
Author(s):  
Tomiwa Sunday Adebayo ◽  
Edmund Ntom Udemba ◽  
Zahoor Ahmed ◽  
Dervis Kirikkaleli
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Technological Innovation ◽  
Environmental Degradation ◽  
Carbon Emissions ◽  
Policy Implications ◽  
The Novel ◽  
Long Run ◽  
Non Linear

Abstract In recent years, a growing number of scholars have employed various proxies of environmental degradation to understand the reasons behind rising environmental degradation. However, very few studies consider consumption-based carbon emissions even though a clear understanding of the impact of consumption patterns is essential to redirecting the pattern to more sustainable consumption. Thus, this study takes a step forward by using consumption-based carbon emissions (CCO2) as a proxy of environmental degradation using the novel non-linear ARDL. To the understanding of the investigators, no prior studies have investigated the drivers of consumption-based carbon emissions utilizing non-linear ARDL. The study employed ADF and KSS (non-linear) tests to check the stationary level of the data series. Additionally, the symmetric and asymmetric ARDL approaches are utilized to explore cointegration and long-run linkages. The results could not find symmetric cointegration among variables; however, the empirical estimates divulge the long-run asymmetric connection of indicators with the CCO2 emissions. The novel results from the asymmetric ARDL unfold that negative and positive changes in economic growth deteriorate the quality of the environment. Interestingly, a reduction in economic growth has a more dominant contribution to environmental degradation. Moreover, positive changes in renewable energy usage improve the quality of the environment in Chile inferring that Chile can achieve a reduction in environmental degradation by boosting renewable energy consumption. Surprisingly, the study found the ineffectiveness of technological innovation in reducing consumption-based carbon emissions which implies that technological innovation in Chile is not directed towards manufacturing green technology. Finally, the policy implications are discussed to reduce consumption-based carbon emissions.

Heterogeneous effect of oil production on environmental degradation: panel evidence from OPEC member countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismail Aliyu Danmaraya ◽  
Aminu Hassan Jakada ◽  
Suraya Mahmood ◽  
Bello Alhaji Ibrahim ◽  
Ahmad Umar Ali
Keyword(s):  
Renewable Energy ◽  
Environmental Degradation ◽  
Environmental Quality ◽  
Oil Production ◽  
The Body ◽  
Energy Sources ◽  
Asymmetric Effect ◽  
Content Type ◽  
Long Run ◽  
Opec Member

Purpose The purpose of this paper is to look at the asymmetric effect of oil production on environmental degradation in OPEC member countries from 1970–2019. Design/methodology/approach The authors build a nonlinear panel ARDL–PMG model using the Shin et al. (2014) nonlinear autoregressive distributed lag (ARDL) approach in panel form to assess both the short- and long-run impact of positive and negative oil production movements on CO2 emissions. Findings The result demonstrates that the variables are cointegrated. According to the linear long run coefficients, oil production, FDI inflows and economic growth both have a positive and significant relationship with CO2 emissions, implying that they deteriorate environmental quality in OPEC countries, while renewable energy has a negative relationship with CO2, implying that increasing renewable energy improves environmental quality. The asymmetric findings prove that positive and negative shocks of oil production exert a positive effect on carbon emissions in short run and long run. Research limitations/implications To begin with, the empirical assessments do not include all OPEC member nations; researchers are advised to resolve this constraint by looking at the economies of other OPEC members. Albeit the lack of data for other energy sources may serve as another constraint of this research, future research is expected to broaden the current framework via other energy sources such as nuclear, electricity, biomass, solar as well as wind. Originality/value The research adds to the body of knowledge as many of the prevailing studies in the literature failed to look at the asymmetric effect of oil production on the quality of environment. This is another gap in the literature that the current study is set out to fill. This study adds oil production as an explanatory variable and helps to extend the existing literature for OPEC countries, which could propose a solution to deal with ensuing environmental issues.

Income inequality and CO2 emissions: Empirical evidence from Turkey

2018 ◽  
Vol 30 (3) ◽  
pp. 444-461 ◽  
Author(s):  
Caner Demir ◽  
Raif Cergibozan ◽  
Adem Gök
Keyword(s):  
Income Inequality ◽  
Environmental Degradation ◽  
Environmental Quality ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Aggregate Consumption ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Impact

The aim of the study is to investigate the impact of income inequality on environmental quality in Turkey within the Environmental Kuznets Curve framework. In order to observe the short-run and long-run effects of income inequality on environmental quality, an autoregressive distributed lag bounds test on CO2 emission has been employed for the period 1963–2011 of Turkey. The results of the analysis reveal that there is a negative association between CO2 emission level and income inequality, which implies that increasing income inequality reduces environmental degradation in Turkey. Hence, a greater inequality in the society leads to less aggregate consumption in the economy due to lower propensity to emit in the richer households resulting in better environmental quality. The findings confirm an argument in the existing literature, which suggests that for developing countries, until a certain level of development, environmental degradation increases as income inequality in the society decreases. The results also confirm the Environmental Kuznets Curve hypothesis.

scholarly journals Relative effects of regional and global trade on carbon emissions in ECOWAS member countries

2019 ◽  
Vol 22 (1) ◽  
pp. 64-75
Author(s):  
Lukman O Oyelami
Keyword(s):  
Environmental Quality ◽  
Carbon Emissions ◽  
Time Series Data ◽  
Relative Effect ◽  
Data Availability ◽  
Series Data ◽  
Global Trade ◽  
Panel Ardl ◽  
Long Run ◽  
Short Run

The effect of trade on environmental quality has always been ambiguous in both developed and developing countries. This has prompted several country- and region-specific studies. It is against this background that this study seeks to investigate the effect of international trade on carbon emissions in the ECOWAS subregion in general and specifically determines the relative effect of regional and global trade on carbon emissions. To achieve this, time series data on trade and carbon emissions from 1970 to 2014 were employed for 14 ECOWAS member countries based on data availability and the data were duly subjected to required econometric tests to prevent spurious analysis. PMG/MG method of panel ARDL was adopted to estimate the relative effect of regional and global trade on carbon emissions and this is based on capability of the method to classify relationship into short-run and long-run and also solve endogenity issues. The results from model estimation show that effect of trade on environmental quality is a long-term phenomenon and basically support the view that trade has negative effect on environmental quality. However, regional trade is less harmful and it can guarantee improved environment quality in the long run. The study therefore recommend that countries in the region should trade more with one another especially in areas where they lack competiveness as this can better guarantee a more sustainable development for the entire subregion.

Environmental quality and energy import dynamics

2019 ◽  
Vol 31 (3) ◽  
pp. 665-682 ◽  
Author(s):  
Andrew Adewale Alola ◽  
Kayode Kolawole Eluwole ◽  
Uju Violet Alola ◽  
Taiwo Temitope Lasisi ◽  
Turgay Avci
Keyword(s):  
Environmental Quality ◽  
Geographical Location ◽  
Tourism Development ◽  
International Tourism ◽  
Causality Test ◽  
Content Type ◽  
Mediterranean Countries ◽  
International Tourist ◽  
Global Tourism ◽  
Policy Direction

Purpose The geographical location and the ambiance of the Coastline Mediterranean Countries (CMCs) advantageously present the region as a tourist destination with rich cultures. The paper aims to discuss this issue. Design/methodology/approach As such, this study investigates the dynamics of energy import and environmental quality in relation to international tourism development for nine CMCs over the period 1995–2013 using a pooled mean group approach. Findings Although the impacts of energy import, CO2 (here as environmental quality) and GDP on international tourism receipts are observed to be significant and negative, international tourist arrival expectedly exerts positive and significant impact, all at the adjustment speed of 0.19. A heterogeneously robust Granger non-causality test further reveals a strong one-directional causal relationship from energy import to tourism receipts. Research limitations/implications The dynamics of the energy market amidst persistent evolution of new source(s) of energy would evidently play a significant role in the region’s tourism sector. It then suggests policy direction to governments of the region and by extension the global tourism market. Originality/value By providing insight into the nexus of environment, energy and tourism development, the current study is the first that addresses the concern in the context of the CMCs.

scholarly journals Asymmetric Impact of International Trade on Consumption-Based Carbon Emissions in MINT Nations

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6581
Author(s):  
Tomiwa Sunday Adebayo ◽  
Abraham Ayobamiji Awosusi ◽  
Husam Rjoub ◽  
Mirela Panait ◽  
Catalin Popescu
Keyword(s):  
Economic Growth ◽  
International Trade ◽  
Carbon Emissions ◽  
Causality Test ◽  
Nonlinear Ardl ◽  
Long Run ◽  
Short Run ◽  
Asymmetric Impact ◽  
Positive Shock ◽  
Bds Test

The association between carbon emissions and international trade has been examined thoroughly; however, consumption-based carbon emissions, which is adjusted for international trade, have not been studied extensively. Therefore, the present study assesses the asymmetric impact of trade (import and export) and economic growth in consumption-based carbon emissions (CCO2) using the MINT nations (Mexico, Indonesia, Nigeria and Turkey) as a case study. We applied the Nonlinear ARDL to assess this connection using dataset between 1990 and 2018. The outcomes from the BDS test affirmed the use of nonlinear techniques. Furthermore, the NARDL bounds test confirmed long-run association between CCO2 and exports, imports and economic growth. The outcomes from the NARDL long and short-run estimates disclosed that positive (negative) shocks in imports increase (decrease) CCO2 emissions in all the MINT nations. Moreover, positive (negative) shocks in exports decrease (increase) CCO2 emissions in all the MINT nations. As expected, a positive shock in economic growth triggers CCO2 emissions while a negative shift does not have significant impact on CCO2 emissions in the MINT nations. Furthermore, we applied the Gradual shift causality test and the outcomes disclose that imports and economic growth can predict CCO2 emissions in the MINT nations. The study outcomes have significant policy recommendations for policymakers in the MINT nations.

scholarly journals Symmetric and Asymmetric Impact of Poverty, Income Inequality, and Population on Carbon Emission in Pakistan: New Evidence From ARDL and NARDL Co-Integration

2021 ◽  
Vol 9 ◽  
Author(s):  
Salim Khan ◽  
Wang Yahong
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Environmental Degradation ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Policy Implications ◽  
Gdp Per Capita ◽  
Long Run ◽  
Asymmetric Impact ◽  
Per Capita

Several researchers have studied the relationship between poverty and environmental degradation, as these concerns are remained at top priority in achieving Sustainable Development Goals (SDGs). However, the symmetric and asymmetric impact of poverty and income inequality along with population and economic growth on carbon emissions (CO2e) has not been studied in the case of Pakistan. For this purpose, the short and long-run impact of poverty, income inequality, population, and GDP per capita on CO2e investigated by applying the Autoregressive Distributive Lag (ARDL) along with Non-linear Autoregressive Distributive Lag (NARDL) co-integration approach in the context of Pakistan for period 1971–2015. The symmetric results of the current study show poverty and population density along with GDP per capita increase carbon emissions in both the short and long-run, while income inequality has no impact on carbon emissions in the short-run. While in the long-run the symmetric results show that income inequality weakens environmental degradation in terms of carbon emissions. The analysis of NARDL also supports the results obtained from ARDL and suggests a positive effect of poverty, population, and economic growth on carbon emission in Pakistan. The empirical findings of the current study provide policy implications in light of the United Nation's SDGs for the development of Pakistan.

scholarly journals Wealthier is healthier? Healthier is wealthier? A comprehensive econometric analysis of the European countries

2021 ◽  
Vol 71 (3) ◽  
pp. 387-404
Author(s):  
Reyhan Cafri Açci ◽  
Pinar Kaya Samut
Keyword(s):  
Econometric Analysis ◽  
The Other ◽  
European Countries ◽  
Causality Test ◽  
Panel Causality ◽  
Research Results ◽  
Inclusive Wealth ◽  
Discriminant Analyses ◽  
Causality Relationship

Abstract Healthier people contribute more to the development of the economy. Besides, in a better economy, people have a better quality and healthier life. At this stage, one has to ask which one precedes the other: health or wealth? To find the answer, this study aims to investigate the causality relationship between health and inclusive wealth in the European countries for the period of 1990–2015. The causality between health and inclusive wealth scores, which are estimated by cluster and discriminant analyses, is investigated by the panel causality test. The research results indicate bidirectional causality between health and inclusive wealth. A one-way causality is detected in 11 cases as being from inclusive wealth to health and in 8 the other way. Furthermore, a two-way causality is found in 2 countries. Among the results, it is noteworthy that 91% of the countries with causality from inclusive wealth to health are among the healthy countries.

scholarly journals Coal Consumption and Environmental Sustainability in South Africa: The role of Financial Development and Globalization

2021 ◽  
Vol 10 (3) ◽  
pp. 527-536
Author(s):  
Tomiwa Sunday Adebayo ◽  
Dervis Kirikkaleli ◽  
Ibrahim Adeshola ◽  
Dokun Oluwajana ◽  
Gbenga Daniel Akinsola ◽  
...  
Keyword(s):  
South Africa ◽  
Frequency Domain ◽  
Financial Development ◽  
Environmental Degradation ◽  
Environmental Sustainability ◽  
Ordinary Least Squares ◽  
Coal Consumption ◽  
Causality Test ◽  
Significance Level ◽  
Long Run

This paper aims to investigate coal consumption and environmental sustainability in South Africa by examining the role of financial development and globalization by using a dataset covering the period from 1980 to 2017. The study utilized the Auto-regressive Distributed Lag Model (ARDL) approach in addition to the Bayer and Hank combined co-integration, fully modified Ordinary least squares (FMOLS), and Dynamic ordinary least Squares (DOLS). The study further utilized the frequency domain causality test to capture the causal linkage between the series. The advantage of the frequency domain causality is that it can capture causal linkages between series at different periods. The Bayer and Hanck co-integration and ARDL bounds tests reveal co-integration among the series. The empirical findings based on the ARDL long-run estimation reveal that a 1% increase in coal consumption increases environmental degradation by 1.077%, while a 1% increase in financial development decreases the environmental degradation by 0.973%. Furthermore, a 1% increase in economic growth decreases environmental quality by 1.449%. The outcomes of the FMOLS and DOLS approaches also provide supportive evidence for the ARDL long-run results. Furthermore, the results of the frequency domain causality test reveal that at a significance level of 1%, coal consumption Granger causes CO2 emissions at different frequencies, while financial development Granger causes CO2 emissions in the long run and short run at a significance level of 10%. In terms of policy suggestions, South Africa should embrace policies that encourage energy consumers to shift toward renewable energy. Furthermore, financial reforms should be implemented to curb environmental degradation

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