Exploring Asymmetric Nexus Between Tourism, Economic Growth and Co2 Emissions in the Context of Pakistan

Rehman, Alam; Ishaque, Amir; Malik, Shumaila; Rehman, Shams Ur

doi:10.32479/ijeep.10929

Cited by 5 publications

(2 citation statements)

References 54 publications

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“…The former underlines the impact of some socio-economic factors on carbon dioxide emissions; while the later highlights the causal links between these variables and our interest variable. Almost all of the empirical studies that have addressed this issue are based on an ARDL model, although a few studies have used a non-linear model [10][11][12].…”

Section: Literature Reviewmentioning

confidence: 99%

Carbon Dioxide Emissions and Its Socio-Economic Drivers Nexus: Empirical Evidence from MENA Countries

Essadik,

Khalifa

2024

IJEEE

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Carbon dioxide emissions is one of the main climate change causes. Nowadays is considered as one of the most important environmental degradation and air pollution in the world. The relationship between CO2 emissions and their socio-economic determinants is investigated in this study. It uses empirical analysis of significant impact of the economic growth, the tourism development, the globalization, the population health, the population growth and the energy consumption on our interest variable. Thus, we're going to select an econometric model, an Autoregressive Distributed Lag model (ARDL) applied to a sample of 10 MENA countries. Our aim is to measure, long-run and short-run impact of the number of arrivals, the Foreign Direct Investment, government health expenditures, the energy consumption and the population growth rate on the CO2 emissions. All variables are observed from 1995 to 2020. The methodology adopted in this work is as followed: First, the statistical indicators for the sample are calculated. Secondly, the temporal series stationarity is checked by realizing tests of first and second generation. The Pedroni ARDL and Pesaran cointegration tests are then applied. Finally, Granger causality for panel data is used. The causality analysis between variables is carried out using the Dumitrescu and Hurlin's test. Findings reveal that, in the long term, tourism sector and energy consumption have significant and positive impact on CO2. But the economic growth and population growth influenced it negatively and they are statistically significant. In the short term, the dependent variable is statistically impacted by economic growth. The degrees and magnitude of the individual effects of the various variables on the Carbone dioxide emissions vary from country to an other. There are bidirectional and unidirectional relationships causality between different variables. Our findings can be helpful for policy makers seeking to achieve the sustainable development goals in MENA region.

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Section: Literature Reviewmentioning

confidence: 99%

Carbon Dioxide Emissions and Its Socio-Economic Drivers Nexus: Empirical Evidence from MENA Countries

Essadik,

Khalifa

2024

IJEEE

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“…Their findings revealed a bi-directional relationship between economic growth and tourism development. There are many studies proposing the hypothesis that growth of tourism in the country is directly linked to economic prosperity [29]. The study reports that there is bidirectional causality between tourism and economic growth.…”

Section: Tourism and Economic Growthmentioning

confidence: 99%

Moderation analysis of exchange rate, tourism and economic growth in Asia

et al. 2022

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This study brings novelty to the tourism literature by re-examining the role of exchange rate in the tourism-growth nexus. It differs from previous tourism-led growth narrative to probe whether tourism exerts a positive effect on economic growth when the exchange rate is accounted for. Using a moderation modelling framework, instrumental variables general method of moments (IV-GMM) and quantile regression techniques in addition to real per capita GDP, tourism receipts and exchange rate, the study engages data on 44 Asian countries from 2010 to 2019. Results from the IV-GMM show that: (1) tourism exerts a positive effect on growth; (2) exchange rate depreciation hampers growth; (3) the interaction effect is positive but statistically not significant; and (4) results from EAP and SA samples are mixed. For the most part, constructive evidence from the quantile regression techniques reveals that the impact of tourism and exchange is significant at lower quantiles of 0.25 and 0.50 while the interaction effect is negative and statistically significant only for the SA sample. These are new contributions to the literature and policy recommendations are discussed.

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