The Nexus Among Tourism, Urbanisation and CO2 Emissions in South Asia: A Panel Analysis

Purpose – Tourism and urbanisation are two significant determinants of economic growth and have been identified as top contributors to CO2 emissions. We examine the nexus among tourism, urbanisation, and CO2 emissions in South Asia by providing empirical evidence using panel data analysis. Design –...
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Autor*in:	Sakib Bin Amin [verfasserIn] Mahnaz Aftabi Atique [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	urbanisation tourism co2 emissions south asia causality

Übergeordnetes Werk:	In: Tourism and Hospitality Management - Faculty of tourism and hospitality management, 2017, 27(2021), 1, Seite 63-82
Übergeordnetes Werk:	volume:27 ; year:2021 ; number:1 ; pages:63-82

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.20867/thm.27.1.5

Katalog-ID:	DOAJ055315003

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spelling	10.20867/thm.27.1.5 doi (DE-627)DOAJ055315003 (DE-599)DOAJ89c9bdc3901d48c2a65c414e3e0816e6 DE-627 ger DE-627 rakwb eng TX901-946.5 Sakib Bin Amin verfasserin aut The Nexus Among Tourism, Urbanisation and CO2 Emissions in South Asia: A Panel Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose – Tourism and urbanisation are two significant determinants of economic growth and have been identified as top contributors to CO2 emissions. We examine the nexus among tourism, urbanisation, and CO2 emissions in South Asia by providing empirical evidence using panel data analysis. Design – Annual data from 1995-2019 is collected from the World Development Indicator 2020 for five South Asian countries: Bangladesh, India, Sri Lanka, Nepal, and Pakistan. Methodology – Durbin-Hausman panel cointegration and LM Bootstrap panel cointegration tests are conducted to check long-run cointegration. Dumitrescu-Hurlin panel causality test is used to detect causal relationship among the variables. Moreover, the PDOLS, PMG ARDL, c-up FMOLS and Generalised Linear Model are used to estimate long-run coefficients of the variables. Findings – We reveal unidirectional causalities running from urbanisation to tourism, urbanisation to CO2 emissions, and tourism to CO2 emissions. Additionally, when heterogeneity of the variables is taken into account, both tourism and urbanisation show positive and significant effect on CO2 emissions in the long-run. Originality of the Research – To our knowledge, no previous study investigates the relationship among tourism, urbanisation and CO2 emissions is South Asia. Our results will guide policy makers to design policies that will promote urbanisation and tourism growth in an environmentally sustainable way. urbanisation tourism co2 emissions south asia causality Hospitality industry. Hotels, clubs, restaurants, etc. Food service Mahnaz Aftabi Atique verfasserin aut In Tourism and Hospitality Management Faculty of tourism and hospitality management, 2017 27(2021), 1, Seite 63-82 (DE-627)552254894 (DE-600)2400036-X 18473377 nnns volume:27 year:2021 number:1 pages:63-82 https://doi.org/10.20867/thm.27.1.5 kostenfrei https://doaj.org/article/89c9bdc3901d48c2a65c414e3e0816e6 kostenfrei https://thm.fthm.hr/images/issues/vol27no1/5_Amin_Atique kostenfrei https://doaj.org/toc/1330-7533 Journal toc kostenfrei https://doaj.org/toc/1847-3377 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2026 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 27 2021 1 63-82
allfields_unstemmed	10.20867/thm.27.1.5 doi (DE-627)DOAJ055315003 (DE-599)DOAJ89c9bdc3901d48c2a65c414e3e0816e6 DE-627 ger DE-627 rakwb eng TX901-946.5 Sakib Bin Amin verfasserin aut The Nexus Among Tourism, Urbanisation and CO2 Emissions in South Asia: A Panel Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose – Tourism and urbanisation are two significant determinants of economic growth and have been identified as top contributors to CO2 emissions. We examine the nexus among tourism, urbanisation, and CO2 emissions in South Asia by providing empirical evidence using panel data analysis. Design – Annual data from 1995-2019 is collected from the World Development Indicator 2020 for five South Asian countries: Bangladesh, India, Sri Lanka, Nepal, and Pakistan. Methodology – Durbin-Hausman panel cointegration and LM Bootstrap panel cointegration tests are conducted to check long-run cointegration. Dumitrescu-Hurlin panel causality test is used to detect causal relationship among the variables. Moreover, the PDOLS, PMG ARDL, c-up FMOLS and Generalised Linear Model are used to estimate long-run coefficients of the variables. Findings – We reveal unidirectional causalities running from urbanisation to tourism, urbanisation to CO2 emissions, and tourism to CO2 emissions. Additionally, when heterogeneity of the variables is taken into account, both tourism and urbanisation show positive and significant effect on CO2 emissions in the long-run. Originality of the Research – To our knowledge, no previous study investigates the relationship among tourism, urbanisation and CO2 emissions is South Asia. Our results will guide policy makers to design policies that will promote urbanisation and tourism growth in an environmentally sustainable way. urbanisation tourism co2 emissions south asia causality Hospitality industry. Hotels, clubs, restaurants, etc. Food service Mahnaz Aftabi Atique verfasserin aut In Tourism and Hospitality Management Faculty of tourism and hospitality management, 2017 27(2021), 1, Seite 63-82 (DE-627)552254894 (DE-600)2400036-X 18473377 nnns volume:27 year:2021 number:1 pages:63-82 https://doi.org/10.20867/thm.27.1.5 kostenfrei https://doaj.org/article/89c9bdc3901d48c2a65c414e3e0816e6 kostenfrei https://thm.fthm.hr/images/issues/vol27no1/5_Amin_Atique kostenfrei https://doaj.org/toc/1330-7533 Journal toc kostenfrei https://doaj.org/toc/1847-3377 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2026 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 27 2021 1 63-82
allfieldsGer	10.20867/thm.27.1.5 doi (DE-627)DOAJ055315003 (DE-599)DOAJ89c9bdc3901d48c2a65c414e3e0816e6 DE-627 ger DE-627 rakwb eng TX901-946.5 Sakib Bin Amin verfasserin aut The Nexus Among Tourism, Urbanisation and CO2 Emissions in South Asia: A Panel Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose – Tourism and urbanisation are two significant determinants of economic growth and have been identified as top contributors to CO2 emissions. We examine the nexus among tourism, urbanisation, and CO2 emissions in South Asia by providing empirical evidence using panel data analysis. Design – Annual data from 1995-2019 is collected from the World Development Indicator 2020 for five South Asian countries: Bangladesh, India, Sri Lanka, Nepal, and Pakistan. Methodology – Durbin-Hausman panel cointegration and LM Bootstrap panel cointegration tests are conducted to check long-run cointegration. Dumitrescu-Hurlin panel causality test is used to detect causal relationship among the variables. Moreover, the PDOLS, PMG ARDL, c-up FMOLS and Generalised Linear Model are used to estimate long-run coefficients of the variables. Findings – We reveal unidirectional causalities running from urbanisation to tourism, urbanisation to CO2 emissions, and tourism to CO2 emissions. Additionally, when heterogeneity of the variables is taken into account, both tourism and urbanisation show positive and significant effect on CO2 emissions in the long-run. Originality of the Research – To our knowledge, no previous study investigates the relationship among tourism, urbanisation and CO2 emissions is South Asia. Our results will guide policy makers to design policies that will promote urbanisation and tourism growth in an environmentally sustainable way. urbanisation tourism co2 emissions south asia causality Hospitality industry. Hotels, clubs, restaurants, etc. Food service Mahnaz Aftabi Atique verfasserin aut In Tourism and Hospitality Management Faculty of tourism and hospitality management, 2017 27(2021), 1, Seite 63-82 (DE-627)552254894 (DE-600)2400036-X 18473377 nnns volume:27 year:2021 number:1 pages:63-82 https://doi.org/10.20867/thm.27.1.5 kostenfrei https://doaj.org/article/89c9bdc3901d48c2a65c414e3e0816e6 kostenfrei https://thm.fthm.hr/images/issues/vol27no1/5_Amin_Atique kostenfrei https://doaj.org/toc/1330-7533 Journal toc kostenfrei https://doaj.org/toc/1847-3377 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2026 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 27 2021 1 63-82
allfieldsSound	10.20867/thm.27.1.5 doi (DE-627)DOAJ055315003 (DE-599)DOAJ89c9bdc3901d48c2a65c414e3e0816e6 DE-627 ger DE-627 rakwb eng TX901-946.5 Sakib Bin Amin verfasserin aut The Nexus Among Tourism, Urbanisation and CO2 Emissions in South Asia: A Panel Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose – Tourism and urbanisation are two significant determinants of economic growth and have been identified as top contributors to CO2 emissions. We examine the nexus among tourism, urbanisation, and CO2 emissions in South Asia by providing empirical evidence using panel data analysis. Design – Annual data from 1995-2019 is collected from the World Development Indicator 2020 for five South Asian countries: Bangladesh, India, Sri Lanka, Nepal, and Pakistan. Methodology – Durbin-Hausman panel cointegration and LM Bootstrap panel cointegration tests are conducted to check long-run cointegration. Dumitrescu-Hurlin panel causality test is used to detect causal relationship among the variables. Moreover, the PDOLS, PMG ARDL, c-up FMOLS and Generalised Linear Model are used to estimate long-run coefficients of the variables. Findings – We reveal unidirectional causalities running from urbanisation to tourism, urbanisation to CO2 emissions, and tourism to CO2 emissions. Additionally, when heterogeneity of the variables is taken into account, both tourism and urbanisation show positive and significant effect on CO2 emissions in the long-run. Originality of the Research – To our knowledge, no previous study investigates the relationship among tourism, urbanisation and CO2 emissions is South Asia. Our results will guide policy makers to design policies that will promote urbanisation and tourism growth in an environmentally sustainable way. urbanisation tourism co2 emissions south asia causality Hospitality industry. Hotels, clubs, restaurants, etc. Food service Mahnaz Aftabi Atique verfasserin aut In Tourism and Hospitality Management Faculty of tourism and hospitality management, 2017 27(2021), 1, Seite 63-82 (DE-627)552254894 (DE-600)2400036-X 18473377 nnns volume:27 year:2021 number:1 pages:63-82 https://doi.org/10.20867/thm.27.1.5 kostenfrei https://doaj.org/article/89c9bdc3901d48c2a65c414e3e0816e6 kostenfrei https://thm.fthm.hr/images/issues/vol27no1/5_Amin_Atique kostenfrei https://doaj.org/toc/1330-7533 Journal toc kostenfrei https://doaj.org/toc/1847-3377 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2026 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 27 2021 1 63-82
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author	Sakib Bin Amin
spellingShingle	Sakib Bin Amin misc TX901-946.5 misc urbanisation misc tourism misc co2 emissions misc south asia misc causality misc Hospitality industry. Hotels, clubs, restaurants, etc. Food service The Nexus Among Tourism, Urbanisation and CO2 Emissions in South Asia: A Panel Analysis
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title_sort	nexus among tourism, urbanisation and co2 emissions in south asia: a panel analysis
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title_auth	The Nexus Among Tourism, Urbanisation and CO2 Emissions in South Asia: A Panel Analysis
abstract	Purpose – Tourism and urbanisation are two significant determinants of economic growth and have been identified as top contributors to CO2 emissions. We examine the nexus among tourism, urbanisation, and CO2 emissions in South Asia by providing empirical evidence using panel data analysis. Design – Annual data from 1995-2019 is collected from the World Development Indicator 2020 for five South Asian countries: Bangladesh, India, Sri Lanka, Nepal, and Pakistan. Methodology – Durbin-Hausman panel cointegration and LM Bootstrap panel cointegration tests are conducted to check long-run cointegration. Dumitrescu-Hurlin panel causality test is used to detect causal relationship among the variables. Moreover, the PDOLS, PMG ARDL, c-up FMOLS and Generalised Linear Model are used to estimate long-run coefficients of the variables. Findings – We reveal unidirectional causalities running from urbanisation to tourism, urbanisation to CO2 emissions, and tourism to CO2 emissions. Additionally, when heterogeneity of the variables is taken into account, both tourism and urbanisation show positive and significant effect on CO2 emissions in the long-run. Originality of the Research – To our knowledge, no previous study investigates the relationship among tourism, urbanisation and CO2 emissions is South Asia. Our results will guide policy makers to design policies that will promote urbanisation and tourism growth in an environmentally sustainable way.
abstractGer	Purpose – Tourism and urbanisation are two significant determinants of economic growth and have been identified as top contributors to CO2 emissions. We examine the nexus among tourism, urbanisation, and CO2 emissions in South Asia by providing empirical evidence using panel data analysis. Design – Annual data from 1995-2019 is collected from the World Development Indicator 2020 for five South Asian countries: Bangladesh, India, Sri Lanka, Nepal, and Pakistan. Methodology – Durbin-Hausman panel cointegration and LM Bootstrap panel cointegration tests are conducted to check long-run cointegration. Dumitrescu-Hurlin panel causality test is used to detect causal relationship among the variables. Moreover, the PDOLS, PMG ARDL, c-up FMOLS and Generalised Linear Model are used to estimate long-run coefficients of the variables. Findings – We reveal unidirectional causalities running from urbanisation to tourism, urbanisation to CO2 emissions, and tourism to CO2 emissions. Additionally, when heterogeneity of the variables is taken into account, both tourism and urbanisation show positive and significant effect on CO2 emissions in the long-run. Originality of the Research – To our knowledge, no previous study investigates the relationship among tourism, urbanisation and CO2 emissions is South Asia. Our results will guide policy makers to design policies that will promote urbanisation and tourism growth in an environmentally sustainable way.
abstract_unstemmed	Purpose – Tourism and urbanisation are two significant determinants of economic growth and have been identified as top contributors to CO2 emissions. We examine the nexus among tourism, urbanisation, and CO2 emissions in South Asia by providing empirical evidence using panel data analysis. Design – Annual data from 1995-2019 is collected from the World Development Indicator 2020 for five South Asian countries: Bangladesh, India, Sri Lanka, Nepal, and Pakistan. Methodology – Durbin-Hausman panel cointegration and LM Bootstrap panel cointegration tests are conducted to check long-run cointegration. Dumitrescu-Hurlin panel causality test is used to detect causal relationship among the variables. Moreover, the PDOLS, PMG ARDL, c-up FMOLS and Generalised Linear Model are used to estimate long-run coefficients of the variables. Findings – We reveal unidirectional causalities running from urbanisation to tourism, urbanisation to CO2 emissions, and tourism to CO2 emissions. Additionally, when heterogeneity of the variables is taken into account, both tourism and urbanisation show positive and significant effect on CO2 emissions in the long-run. Originality of the Research – To our knowledge, no previous study investigates the relationship among tourism, urbanisation and CO2 emissions is South Asia. Our results will guide policy makers to design policies that will promote urbanisation and tourism growth in an environmentally sustainable way.
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title_short	The Nexus Among Tourism, Urbanisation and CO2 Emissions in South Asia: A Panel Analysis
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We examine the nexus among tourism, urbanisation, and CO2 emissions in South Asia by providing empirical evidence using panel data analysis. Design – Annual data from 1995-2019 is collected from the World Development Indicator 2020 for five South Asian countries: Bangladesh, India, Sri Lanka, Nepal, and Pakistan. Methodology – Durbin-Hausman panel cointegration and LM Bootstrap panel cointegration tests are conducted to check long-run cointegration. Dumitrescu-Hurlin panel causality test is used to detect causal relationship among the variables. Moreover, the PDOLS, PMG ARDL, c-up FMOLS and Generalised Linear Model are used to estimate long-run coefficients of the variables. Findings – We reveal unidirectional causalities running from urbanisation to tourism, urbanisation to CO2 emissions, and tourism to CO2 emissions. Additionally, when heterogeneity of the variables is taken into account, both tourism and urbanisation show positive and significant effect on CO2 emissions in the long-run. Originality of the Research – To our knowledge, no previous study investigates the relationship among tourism, urbanisation and CO2 emissions is South Asia. 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The Nexus Among Tourism, Urbanisation and CO2 Emissions in South Asia: A Panel Analysis

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