Investigating the influence of tourism on economic growth and carbon emissions: Evidence from panel analysis of the European Union

doi:10.1016/J.TOURMAN.2013.02.016

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Investigating the influence of tourism on economic growth and carbon emissions: Evidence from panel analysis of the European Union

Journal Article•DOI•

Investigating the influence of tourism on economic growth and carbon emissions: Evidence from panel analysis of the European Union

Jung Wan Lee¹, Tantatape Brahmasrene²•Institutions (2)

Boston University¹, Purdue University North Central²

01 Oct 2013-Tourism Management (Pergamon)-Vol. 38, pp 69-76

TL;DR: In this paper, the authors investigated the influence of tourism on economic growth and CO2 emissions and found that tourism has a high significant positive impact on CO 2 emissions while tourism and foreign direct investment incur a high negative impact.

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About: This article is published in Tourism Management.The article was published on 2013-10-01. It has received 452 citations till now. The article focuses on the topics: European union & Panel analysis.

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Journal Article•DOI•

The dynamic relationship of renewable and nonrenewable energy consumption with carbon emission: A global study with the application of heterogeneous panel estimations

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Arshian Sharif¹, Syed Ali Raza², Ilhan Ozturk³, Sahar Afshan•Institutions (3)

Universiti Utara Malaysia¹, Iqra University², Çağ University³

01 Apr 2019-Renewable Energy

TL;DR: In this paper, the authors explored the relationship of renewable and non-renewable energy consumption with carbon emission by using panel data of 74 nations from 1990 to 2015, and found that nonrenewables consumption has a positive effect on environmental degradation whereas, renewable energy has a negative impact on environment degradation and help to reduce environmental hazards.

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465 citations

Journal Article•DOI•

Does foreign direct investment impede environmental quality in high-, middle-, and low-income countries?

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Muhammad Shahbaz¹, Samia Nasreen², Faisal Abbas¹, Omri Anis•Institutions (2)

COMSATS Institute of Information Technology¹, Government College Women University²

01 Sep 2015-Energy Economics

TL;DR: In this paper, the authors investigated the nonlinear correlation between foreign direct investment and environmental degradation for high-, middle-, and low-income countries with economic growth and energy consumption as additional determinants of environmental degradation.

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441 citations

Journal Article•DOI•

Does foreign direct investment lead to lower CO2 emissions? Evidence from a regional analysis in China

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Chuanguo Zhang¹, Xiangxue Zhou¹•Institutions (1)

Xiamen University¹

01 May 2016-Renewable & Sustainable Energy Reviews

TL;DR: In this paper, the authors investigated the impact of FDI on China's CO2 emissions at the national and regional levels using provincial panel data from 1995 to 2010, and found that FDI contributes to CO2 emission reductions in China.

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Abstract: Existing studies have been concerned with the relationship between foreign direct investment and CO2 emissions in recent years. However, little attention has been paid to regional differences in China. This paper investigates the impact of FDI on China׳s CO2 emissions at the national and regional levels using provincial panel data from 1995 to 2010. The Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model was adopted. The results suggest that FDI contributes to CO2 emission reductions in China. FDI׳s impact on CO2 emissions decreases from the western region to the eastern and central regions. Our findings support the pollution halo hypothesis, which claims that foreign firms can export greener technologies from developed to developing countries and conduct business in an environmentally friendly manner.

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393 citations

Journal Article•DOI•

Has the tourism-led growth hypothesis been validated? A literature review

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Juan Gabriel Brida¹, Isabel Cortés-Jiménez², Manuela Pulina•Institutions (2)

University of Sassari¹, Free University of Bozen-Bolzano²

15 Apr 2016-Current Issues in Tourism

TL;DR: This article presented an exhaustive review of approximately 100 peer-reviewed published papers on the tourism-led growth hypothesis (TLGH) and provided an overview on the economic theoretical framework behind the TLGH.

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Abstract: Over 10 years have passed since the first paper on the tourism-led growth hypothesis (TLGH) was published in 2002. Since then, a wave of studies has appeared trying to understand the temporal relationship between tourism and economic growth. Hence, it is possible to provide an assessment in terms of econometric methods used and main empirical findings achieved so far. This paper presents an exhaustive review of approximately 100 peer-reviewed published papers on the TLGH. An overview on the economic theoretical framework behind the TLGH is also provided. Notably, the results present an increasing diversification in the econometric modelling used. With a few exceptions, the empirical findings suggest that overall international tourism drives economic growth.

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358 citations

Cites background from "Investigating the influence of tour..."

...By world regions, only 10 studies belong to Africa and the Middle East; 14 studies are dedicated to American destinations; the other 32 studies examine countries in the Asia and Pacific whilst23 studies are dedicated to European countries....
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...The TLGH is validated for all the following countries: Pakistan, except for a few years as detected by an ARDL and a window rolling estimation (Hye & Khan, 2013), Lebanon (Tang & Abosedra, 2012), Jordan (Kreishan, 2011), Tunisia (Belloumi, 2010), Kenya (Kibara et al., 2012), South Africa (Akinboade & Braimoh, 2010), Singapore (Katircioglu, 2010a, 2011), North Cyprus (Katircioglu, 2010b), Barbados (Jackman, 2012), Antigua and Bermuda (Schubert et al., 2010), Brazil (Brida et al., 2011), Chile (Brida & Risso, 2009), Colombia (Brida, Pereyra, Risso, Such-Devesa, & Zapata-Aguirre, 2009; Brida & Monterubbianesi, 2010), Mexico (Brida, Sanchez Carrrera, & Risso, 2008), Nicaragua (Croes & Vanegas, 2008), Paraguay, Brazil and Argentina (Brida, Lanzilotta, Pereyra, & Pizzolón, 2013), USA (Isik, 2012), Fiji, Tonga, Salomon Islands and Papua Guinea (Nayaran & Prasad, 2003; Nayaran et al., 2010), Spain, Italy, Tunisia, Cyprus, Croatia, Bulgaria and Greece (Aslan, 2013), Romania (Surugiu & Surugiu, 2013), Cyprus, Latvia and Slovakia (Chou, 2013), Trentino-Alto Adige and South Tyrol, Italy (Brida & Risso, 2010; Brida et al., 2010; Brida & Giuliani, 2013), Italy (Cortés-Jiménez & Pulina, 2010), Turkey (Gunduz & Hatemi-J, 2005; Husein & Kara, 2011; Kaplan & Çelik, 2008), Greece (Dritsakis, 2004), Spain (Balaguer & Cantavella-Jordà, 2002; Cortés-Jiménez & Pulina, 2010), Organisation for Economic Co-operation and Development (OECD), Asia and Africa (Lee & Chang, 2008), Pakistan (Malik et al., 2010), Sri Lanka (Srinivasan et al., 2012), India (Mishra, Rout & Mohapatra, 2010), China (Deng et al., 2013a, 2013b), European Union (Lee & Brahmasrene, 2013), Africa (Fayissa et al., 2008; Kareem, 2013) and America, Latin America and Caribbean countries (Caglayan et al., 2012)....
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...B rida et al. (19) Malik, Chaudhry, Sheikh, and Farooqi (2010) European Journal of Economics, Finance and Administrative Sciences Annual (1972– 2007) Pakistan VECM (Johansen)Granger causality GDP, tourism receipts, exchange rate and current account deficit T Y (20) Katircioglu (2010a) Tourism Economics Annual (1960– 2007) Singapore VECM (Johansen)Granger causality GDP, tourism receipts, exchange rate T Y T Y (21) Mishra, Rout, and Mohapatra (2010) European Journal of Social Sciences Annual (1978– 2009) India VECM (Johansen)Granger causality GDP, tourism receipts, exchange rate T Y (22) Kadir and Jusoff (2010) International Journal of Economics and Finance Quarterly (1995– 2006) Malaysia Johansen – Granger causality Tourists receipts, exports (EX), imports (IM), trade (TR) EX T IM T TR T (23) Nayaran, Nayaran, Prasad, and Prasad (2010) Tourism Economics Annual (1988– 2004) Fiji, Tonga, Solomon Islands, Papua New Guinea Cointegration (Pedroni) – Panel Granger causality Tourists exports, GDP T Y T Y (24) Lean and Tang (2009) International Journal of Tourism Research Monthly (1989– 2009) Malaysia Granger causality (Toda–Yamamoto – Dolado– Lütkepohl) Tourists arrivals, industrial production T↔Y (25) Chen and ChiouWei (2009) Tourism Management Quarterly (1975– 2007) Taiwan and Korea E-generalisedautoregressive conditional heteroskedasticity (GARCH)-...
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...B rida et al. Bootstrapping threshold regression (5) Deng et al. (2013a) Tourism Economics Annual (1987– 2010) China districts Panel cointegration Tourism receipts, GDP and other variables T Y (6) Kareem (2013) American Journal of Tourism Research Annual (1990– 2011) Africa Panel cointegration and Granger causality Tourism receipts, GDP, exchange rate T↔Y (7) Lee and Brahmasrene (2013) Tourism Management Annual (1988– 2009) European Union Panel cointegration and Granger causality Tourism receipts, CO2 emissions, GDP, foreign direct investment T Y (8) Apergis and Payne (2012) Tourism Economics Annual (1995– 2007) Nine Caribbean countries Panel cointegration and Granger causality GDP, tourist arrivals and exchange rate T↔Y (9) Caglayan, Sak, and Karymshakov (2012) Asian economic and Financial review Annual (1995– 2008) 135 Different countries Panel Granger causality GDP, tourism receipts Europe: T↔Y America, Latin America and Caribbean: T Y East and South Asia, Oceania: T Y No relationship for the other groups of countries (Continued ) C urrent Issues in Tourism 415 416 J.G ....
[...]
...…Journal of Tourism Research Annual (1990– 2011) Africa Panel cointegration and Granger causality Tourism receipts, GDP, exchange rate T↔Y (7) Lee and Brahmasrene (2013) Tourism Management Annual (1988– 2009) European Union Panel cointegration and Granger causality Tourism receipts, CO2…...
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Journal Article•DOI•

Investigating the environmental Kuznets curve hypothesis: the role of tourism and ecological footprint

[...]

Ilhan Ozturk¹, Usama Al-mulali², Behnaz Saboori³•Institutions (3)

Çağ University¹, Multimedia University², Universiti Teknologi Malaysia³

01 Jan 2016-Environmental Science and Pollution Research

TL;DR: The results from the time series generalized method of moments (GMM) and the system panel GMM revealed that the number of countries that have a negative relationship between the ecological footprint and its determinants is more existent in the upper middle- and high-income countries than the other income countries.

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Abstract: The main objective of this study is to examine the environmental Kuznets curve (EKC) hypothesis by utilizing the ecological footprint as an environment indicator and GDP from tourism as the economic indicator. To achieve this goal, an environmental degradation model is established during the period of 1988–2008 for 144 countries. The results from the time series generalized method of moments (GMM) and the system panel GMM revealed that the number of countries that have a negative relationship between the ecological footprint and its determinants (GDP growth from tourism, energy consumption, trade openness, and urbanization) is more existent in the upper middle- and high-income countries. Moreover, the EKC hypothesis is more present in the upper middle- and high-income countries than the other income countries. From the outcome of this research, a number of policy recommendations were provided for the investigated countries.

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352 citations

Cites background from "Investigating the influence of tour..."

...This phenomenon motivated many researchers in the last decade to investigate the impact of tourism on pollution (Gössling 2002, 2013; Neto 2003; Holden 2009; Perch-Nielsen et al. 2010; Dubois et al. 2011; Lee and Brahmasrene 2013; Tsai et al. 2014; Saenz-de-Miera and Rosselló 2014)....
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References

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Co-integration and Error Correction: Representation, Estimation and Testing

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Robert F. Engle¹, Clive W. J. Granger¹•Institutions (1)

University of California, San Diego¹

01 Mar 1987-Econometrica

TL;DR: The relationship between co-integration and error correction models, first suggested in Granger (1981), is here extended and used to develop estimation procedures, tests, and empirical examples.

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Abstract: The relationship between co-integration and error correction models, first suggested in Granger (1981), is here extended and used to develop estimation procedures, tests, and empirical examples. If each element of a vector of time series x first achieves stationarity after differencing, but a linear combination a'x is already stationary, the time series x are said to be co-integrated with co-integrating vector a. There may be several such co-integrating vectors so that a becomes a matrix. Interpreting a'x,= 0 as a long run equilibrium, co-integration implies that deviations from equilibrium are stationary, with finite variance, even though the series themselves are nonstationary and have infinite variance. The paper presents a representation theorem based on Granger (1983), which connects the moving average, autoregressive, and error correction representations for co-integrated systems. A vector autoregression in differenced variables is incompatible with these representations. Estimation of these models is discussed and a simple but asymptotically efficient two-step estimator is proposed. Testing for co-integration combines the problems of unit root tests and tests with parameters unidentified under the null. Seven statistics are formulated and analyzed. The critical values of these statistics are calculated based on a Monte Carlo simulation. Using these critical values, the power properties of the tests are examined and one test procedure is recommended for application. In a series of examples it is found that consumption and income are co-integrated, wages and prices are not, short and long interest rates are, and nominal GNP is co-integrated with M2, but not M1, M3, or aggregate liquid assets.

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27,170 citations

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Testing for unit roots in heterogeneous panels

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Kyung So Im¹, M. Hashem Pesaran², Yongcheol Shin³•Institutions (3)

University of Central Florida¹, University of Cambridge², University of Edinburgh³

01 Jul 2003-Journal of Econometrics

TL;DR: In this article, a unit root test for dynamic heterogeneous panels based on the mean of individual unit root statistics is proposed, which converges in probability to a standard normal variate sequentially with T (the time series dimension) →∞, followed by N (the cross sectional dimension)→∞.

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"Investigating the influence of tour..." refers methods in this paper

...Maddala and Wu (1999) proposed that the Fisher-type panel cointegration test using the Johansen (1991) test methodology is more efficient than using the EngleeGranger test method because the maximum likelihood procedure has significantly large and finite sample properties....
[...]

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Unit root tests in panel data: asymptotic and finite-sample properties

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Andrew T. Levin¹, Chien-Fu Lin², Chia-Shang James Chu²•Institutions (2)

Federal Reserve Board of Governors¹, National Taiwan University²

01 May 2002-Journal of Econometrics

TL;DR: In this article, the authors consider pooling cross-section time series data for testing the unit root hypothesis, and they show that the power of the panel-based unit root test is dramatically higher, compared to performing a separate unit-root test for each individual time series.

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Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models / Søren Johansen

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S Johansen

19 Oct 2012

TL;DR: In this paper, the authors present the likelihood methods for the analysis of cointegration in VAR models with Gaussian errors, seasonal dummies, and constant terms, and show that the asymptotic distribution of the maximum likelihood estimator is mixed Gausssian.

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Abstract: Presents the likelihood methods for the analysis of cointegration in VAR models with Gaussian errors, seasonal dummies, and constant terms. Discusses likelihood ratio tests of cointegration rank and find the asymptotic distribution of the test statistics. Shows that the asymptotic distribution of the maximum likelihood estimator is mixed Gausssian.

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9,355 citations

Journal Article•DOI•

Estimation and hypothesis testing of cointegration vectors in gaussian vector autoregressive models

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Søren Johansen

01 Nov 1991-Econometrica

TL;DR: In this article, the authors derived the likelihood analysis of vector autoregressive models allowing for cointegration and showed that the asymptotic distribution of the maximum likelihood estimator of the cointegrating relations can be found by reduced rank regression and derives the likelihood ratio test of structural hypotheses about these relations.

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Abstract: This paper contains the likelihood analysis of vector autoregressive models allowing for cointegration. The author derives the likelihood ratio test for cointegrating rank and finds it asymptotic distribution. He shows that the maximum likelihood estimator of the cointegrating relations can be found by reduced rank regression and derives the likelihood ratio test of structural hypotheses about these relations. The author shows that the asymptotic distribution of the maximum likelihood estimator is mixed Gaussian, allowing inference for hypotheses on the cointegrating relation to be conducted using the Chi(" squared") distribution. Copyright 1991 by The Econometric Society.

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9,112 citations