Industrialization, Freight Transport and Environmental Quality: Evidence from Belt and Road Initiative Economies
Belt and Road initiative has been proposed by China to initiate the cooperation among relevant countries in sector of energy and Trade. The study investigate highlighting the relationship between industrial value added per capita, transport freight and CO 2 emission among the partner countries of Be...
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Veröffentlicht in: | Environmental science and pollution research international 2020-03, Vol.27 (7), p.7053-7070 |
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creator | Anwar, Awais Ahmad, Nawaz Madni, Ghulam Rasool |
description | Belt and Road initiative has been proposed by China to initiate the cooperation among relevant countries in sector of energy and Trade. The study investigate highlighting the relationship between industrial value added per capita, transport freight and CO
2
emission among the partner countries of Belt and Road initiatives by using panel of 33 economies from 1986-2017. Study includes panel autoregressive distributed lag model (ARDL) to estimate the long-run relationship among variables. Estimated results of pool mean group (PMG) indicates that increase in industrial value added per capita and transport freight deteriorates the quality of environment in long-run. However, short-run results of granger causality reveals positive and unidirectional causality running from industrial value added per capita to emission of CO
2
while transport freight and CO
2
emission shows bidirectional causality. The study emphasized to formulate environment friendly policies in industrial and transport sector. |
doi_str_mv | 10.1007/s11356-019-07255-8 |
format | Article |
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2
emission among the partner countries of Belt and Road initiatives by using panel of 33 economies from 1986-2017. Study includes panel autoregressive distributed lag model (ARDL) to estimate the long-run relationship among variables. Estimated results of pool mean group (PMG) indicates that increase in industrial value added per capita and transport freight deteriorates the quality of environment in long-run. However, short-run results of granger causality reveals positive and unidirectional causality running from industrial value added per capita to emission of CO
2
while transport freight and CO
2
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2
emission among the partner countries of Belt and Road initiatives by using panel of 33 economies from 1986-2017. Study includes panel autoregressive distributed lag model (ARDL) to estimate the long-run relationship among variables. Estimated results of pool mean group (PMG) indicates that increase in industrial value added per capita and transport freight deteriorates the quality of environment in long-run. However, short-run results of granger causality reveals positive and unidirectional causality running from industrial value added per capita to emission of CO
2
while transport freight and CO
2
emission shows bidirectional causality. The study emphasized to formulate environment friendly policies in industrial and transport sector.</description><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Autoregressive models</subject><subject>Carbon dioxide</subject><subject>Carbon Dioxide - chemistry</subject><subject>Carbon dioxide emissions</subject><subject>Causality</subject><subject>China</subject><subject>Earth and Environmental Science</subject><subject>Economic Development</subject><subject>Ecotoxicology</subject><subject>Emission analysis</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental quality</subject><subject>Environmental science</subject><subject>Freight transportation</subject><subject>Industrial Development</subject><subject>Initiatives</subject><subject>Per capita</subject><subject>Research Article</subject><subject>Roads</subject><subject>Transportation industry</subject><subject>Value added</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kc1u1DAURi0EotPCC7BAltiwaIr_MrbZlWoKI1VCoLK2nPimuErswXZGap--HlJA6oLVXfh8517rQ-gNJWeUEPkhU8rbdUOobohkbduoZ2hF11Q0Umj9HK2IFqKhXIgjdJzzLSGMaCZfoiNOldRK0xXabYObc0nejv7eFh_DKb5M4G9-FnydbMi7mAq2weFN2PsUwwSh2BF_m2ug3H3Em713EHrAQ4oT_gTjQn-P1uFt8MVX6R7wpo8hTh7yK_RisGOG14_zBP243FxffGmuvn7eXpxfNb1gqjRDxymjxHW8Z1JBJzpleys763irQHBHFRvs0CtpNUhutSRKKsbq9zlxVvET9H7x7lL8NUMuZvK5h3G0AeKcDeN1QasI5RV99wS9jXMK9bpKrdctFVQchGyh-hRzTjCYXfKTTXeGEnPowyx9mNqH-d2HOYTePqrnbgL3N_KngArwBcj1KdxA-rf7P9oHH3KWhQ</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Anwar, Awais</creator><creator>Ahmad, Nawaz</creator><creator>Madni, Ghulam Rasool</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20200301</creationdate><title>Industrialization, Freight Transport and Environmental Quality: Evidence from Belt and Road Initiative Economies</title><author>Anwar, Awais ; Ahmad, Nawaz ; Madni, Ghulam Rasool</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c428t-fb31210db3c278eb4b8aca7bad358e43d182fafc87a9e73a9708782216130da83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Autoregressive models</topic><topic>Carbon dioxide</topic><topic>Carbon Dioxide - 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Academic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anwar, Awais</au><au>Ahmad, Nawaz</au><au>Madni, Ghulam Rasool</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Industrialization, Freight Transport and Environmental Quality: Evidence from Belt and Road Initiative Economies</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2020-03-01</date><risdate>2020</risdate><volume>27</volume><issue>7</issue><spage>7053</spage><epage>7070</epage><pages>7053-7070</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>Belt and Road initiative has been proposed by China to initiate the cooperation among relevant countries in sector of energy and Trade. The study investigate highlighting the relationship between industrial value added per capita, transport freight and CO
2
emission among the partner countries of Belt and Road initiatives by using panel of 33 economies from 1986-2017. Study includes panel autoregressive distributed lag model (ARDL) to estimate the long-run relationship among variables. Estimated results of pool mean group (PMG) indicates that increase in industrial value added per capita and transport freight deteriorates the quality of environment in long-run. However, short-run results of granger causality reveals positive and unidirectional causality running from industrial value added per capita to emission of CO
2
while transport freight and CO
2
emission shows bidirectional causality. The study emphasized to formulate environment friendly policies in industrial and transport sector.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>31879891</pmid><doi>10.1007/s11356-019-07255-8</doi><tpages>18</tpages></addata></record> |
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subjects | Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Autoregressive models Carbon dioxide Carbon Dioxide - chemistry Carbon dioxide emissions Causality China Earth and Environmental Science Economic Development Ecotoxicology Emission analysis Environment Environmental Chemistry Environmental Health Environmental quality Environmental science Freight transportation Industrial Development Initiatives Per capita Research Article Roads Transportation industry Value added Waste Water Technology Water Management Water Pollution Control |
title | Industrialization, Freight Transport and Environmental Quality: Evidence from Belt and Road Initiative Economies |
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