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Whether crude oil dependence and CO2 emissions influence military expenditure in net oil importing countries?
This paper investigates the cointegration relationship among crude oil dependence (COD), CO2 emissions (CO2) and military expenditure (ME) in net oil importing countries using a bootstrap autoregressive distributed lag model with a Fourier function (FARDL). The empirical results indicate that there...
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Published in: | Energy policy 2021-06, Vol.153, p.112281, Article 112281 |
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description | This paper investigates the cointegration relationship among crude oil dependence (COD), CO2 emissions (CO2) and military expenditure (ME) in net oil importing countries using a bootstrap autoregressive distributed lag model with a Fourier function (FARDL). The empirical results indicate that there is cointegration in China and India due to their rapid economic development, very high CO2 emissions, strong oil demand and growth in military strength. Italy has a high level of oil dependence and an oil-dominated energy structure and is closely located to the Middle East, leading its ME to be influenced by COD and CO2. However, military strategies and alliances, governmental budget constraints, and energy structure and policies eliminate the cointegration relationship in the U.S., France and other countries. Some policy implications include the need to diversify oil supply channels and build strategic reserves to relieve pressure on the military to protect oil security. Expenditures for military research and development should be encouraged, and the transfer of military technologies to civil fields to improve energy efficiency should be accelerated. Renewable energy development is an effective instrument for relieving pressure due to oil dependence and the need to reduce CO2.
•The cointegration relationship among crude oil dependence, CO2 and military expenditure is discussed.•The FARDL method is employed to discuss the cointegration in net oil importing countries.•China, India and Italy own the cointegration due to energy structure and environmental protection.•Certain factors such as budget deficit is utilized to explain no-cointegration in other countries. |
doi_str_mv | 10.1016/j.enpol.2021.112281 |
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•The cointegration relationship among crude oil dependence, CO2 and military expenditure is discussed.•The FARDL method is employed to discuss the cointegration in net oil importing countries.•China, India and Italy own the cointegration due to energy structure and environmental protection.•Certain factors such as budget deficit is utilized to explain no-cointegration in other countries.</description><identifier>ISSN: 0301-4215</identifier><identifier>EISSN: 1873-6777</identifier><identifier>DOI: 10.1016/j.enpol.2021.112281</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Autoregressive distributed lag model ; Autoregressive models ; Budget constraint ; Carbon dioxide ; Carbon dioxide emissions ; CO2 emissions ; Crude oil ; Crude oil dependence ; Defense spending ; Economic development ; Emissions ; Energy development ; Energy efficiency ; Energy policy ; Expenditures ; Fourier function ; Imports ; Military ; Military expenditure ; Military strategy ; Military technology ; Oil ; Petroleum ; Pressure dependence ; R&D ; Renewable energy ; Research & development ; Time series</subject><ispartof>Energy policy, 2021-06, Vol.153, p.112281, Article 112281</ispartof><rights>2021 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Jun 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c414t-d98998ed4c13eb3041c72f3dbfd897f648187fa6632f50d77a1b8f53e4f5dcb3</citedby><cites>FETCH-LOGICAL-c414t-d98998ed4c13eb3041c72f3dbfd897f648187fa6632f50d77a1b8f53e4f5dcb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27866,27924,27925,33223</link.rule.ids></links><search><creatorcontrib>Wang, Kai-Hua</creatorcontrib><creatorcontrib>Su, Chi-Wei</creatorcontrib><creatorcontrib>Lobonţ, Oana-Ramona</creatorcontrib><creatorcontrib>Umar, Muhammad</creatorcontrib><title>Whether crude oil dependence and CO2 emissions influence military expenditure in net oil importing countries?</title><title>Energy policy</title><description>This paper investigates the cointegration relationship among crude oil dependence (COD), CO2 emissions (CO2) and military expenditure (ME) in net oil importing countries using a bootstrap autoregressive distributed lag model with a Fourier function (FARDL). The empirical results indicate that there is cointegration in China and India due to their rapid economic development, very high CO2 emissions, strong oil demand and growth in military strength. Italy has a high level of oil dependence and an oil-dominated energy structure and is closely located to the Middle East, leading its ME to be influenced by COD and CO2. However, military strategies and alliances, governmental budget constraints, and energy structure and policies eliminate the cointegration relationship in the U.S., France and other countries. Some policy implications include the need to diversify oil supply channels and build strategic reserves to relieve pressure on the military to protect oil security. Expenditures for military research and development should be encouraged, and the transfer of military technologies to civil fields to improve energy efficiency should be accelerated. Renewable energy development is an effective instrument for relieving pressure due to oil dependence and the need to reduce CO2.
•The cointegration relationship among crude oil dependence, CO2 and military expenditure is discussed.•The FARDL method is employed to discuss the cointegration in net oil importing countries.•China, India and Italy own the cointegration due to energy structure and environmental protection.•Certain factors such as budget deficit is utilized to explain no-cointegration in other countries.</description><subject>Autoregressive distributed lag model</subject><subject>Autoregressive models</subject><subject>Budget constraint</subject><subject>Carbon dioxide</subject><subject>Carbon dioxide emissions</subject><subject>CO2 emissions</subject><subject>Crude oil</subject><subject>Crude oil dependence</subject><subject>Defense spending</subject><subject>Economic development</subject><subject>Emissions</subject><subject>Energy development</subject><subject>Energy efficiency</subject><subject>Energy policy</subject><subject>Expenditures</subject><subject>Fourier function</subject><subject>Imports</subject><subject>Military</subject><subject>Military expenditure</subject><subject>Military strategy</subject><subject>Military technology</subject><subject>Oil</subject><subject>Petroleum</subject><subject>Pressure dependence</subject><subject>R&D</subject><subject>Renewable energy</subject><subject>Research & development</subject><subject>Time series</subject><issn>0301-4215</issn><issn>1873-6777</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>8BJ</sourceid><recordid>eNp9kEtPwzAQhC0EEqXwC7hY4pziVxLngBCqeEmVeqnE0UrtNbhK7GA7CP49acuZ0x52ZnbnQ-iakgUltLrdLcAPoVswwuiCUsYkPUEzKmteVHVdn6IZ4YQWgtHyHF2ktCOECNmIGerfPiB_QMQ6jgZwcB02MIA34DXg1hu8XDMMvUvJBZ-w87YbD7vedS638QfD917v8hhhWmMP-RDj-iHE7Pw71mH0OTpI95fozLZdgqu_OUebp8fN8qVYrZ9flw-rQgsqcmEa2TQSjNCUw5YTQXXNLDdba2RT20rIqZptq4ozWxJT1y3dSltyELY0esvn6OYYO8TwOULKahfG6KeLipVlWUlWkXJS8aNKx5BSBKuG6PqpkaJE7bGqnTpgVXus6oh1ct0dXTD9_-UgqqTdHohxEXRWJrh__b8EboNX</recordid><startdate>202106</startdate><enddate>202106</enddate><creator>Wang, Kai-Hua</creator><creator>Su, Chi-Wei</creator><creator>Lobonţ, Oana-Ramona</creator><creator>Umar, Muhammad</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TA</scope><scope>7TB</scope><scope>7TQ</scope><scope>8BJ</scope><scope>8FD</scope><scope>DHY</scope><scope>DON</scope><scope>F28</scope><scope>FQK</scope><scope>FR3</scope><scope>H8D</scope><scope>JBE</scope><scope>JG9</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>202106</creationdate><title>Whether crude oil dependence and CO2 emissions influence military expenditure in net oil importing countries?</title><author>Wang, Kai-Hua ; Su, Chi-Wei ; Lobonţ, Oana-Ramona ; Umar, Muhammad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c414t-d98998ed4c13eb3041c72f3dbfd897f648187fa6632f50d77a1b8f53e4f5dcb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Autoregressive distributed lag model</topic><topic>Autoregressive models</topic><topic>Budget constraint</topic><topic>Carbon dioxide</topic><topic>Carbon dioxide emissions</topic><topic>CO2 emissions</topic><topic>Crude oil</topic><topic>Crude oil dependence</topic><topic>Defense spending</topic><topic>Economic development</topic><topic>Emissions</topic><topic>Energy development</topic><topic>Energy efficiency</topic><topic>Energy policy</topic><topic>Expenditures</topic><topic>Fourier function</topic><topic>Imports</topic><topic>Military</topic><topic>Military expenditure</topic><topic>Military strategy</topic><topic>Military technology</topic><topic>Oil</topic><topic>Petroleum</topic><topic>Pressure dependence</topic><topic>R&D</topic><topic>Renewable energy</topic><topic>Research & development</topic><topic>Time series</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Kai-Hua</creatorcontrib><creatorcontrib>Su, Chi-Wei</creatorcontrib><creatorcontrib>Lobonţ, Oana-Ramona</creatorcontrib><creatorcontrib>Umar, Muhammad</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>International Bibliography of the Social Sciences</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>International Bibliography of the Social Sciences</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Energy policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Kai-Hua</au><au>Su, Chi-Wei</au><au>Lobonţ, Oana-Ramona</au><au>Umar, Muhammad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Whether crude oil dependence and CO2 emissions influence military expenditure in net oil importing countries?</atitle><jtitle>Energy policy</jtitle><date>2021-06</date><risdate>2021</risdate><volume>153</volume><spage>112281</spage><pages>112281-</pages><artnum>112281</artnum><issn>0301-4215</issn><eissn>1873-6777</eissn><abstract>This paper investigates the cointegration relationship among crude oil dependence (COD), CO2 emissions (CO2) and military expenditure (ME) in net oil importing countries using a bootstrap autoregressive distributed lag model with a Fourier function (FARDL). The empirical results indicate that there is cointegration in China and India due to their rapid economic development, very high CO2 emissions, strong oil demand and growth in military strength. Italy has a high level of oil dependence and an oil-dominated energy structure and is closely located to the Middle East, leading its ME to be influenced by COD and CO2. However, military strategies and alliances, governmental budget constraints, and energy structure and policies eliminate the cointegration relationship in the U.S., France and other countries. Some policy implications include the need to diversify oil supply channels and build strategic reserves to relieve pressure on the military to protect oil security. Expenditures for military research and development should be encouraged, and the transfer of military technologies to civil fields to improve energy efficiency should be accelerated. Renewable energy development is an effective instrument for relieving pressure due to oil dependence and the need to reduce CO2.
•The cointegration relationship among crude oil dependence, CO2 and military expenditure is discussed.•The FARDL method is employed to discuss the cointegration in net oil importing countries.•China, India and Italy own the cointegration due to energy structure and environmental protection.•Certain factors such as budget deficit is utilized to explain no-cointegration in other countries.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enpol.2021.112281</doi></addata></record> |
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subjects | Autoregressive distributed lag model Autoregressive models Budget constraint Carbon dioxide Carbon dioxide emissions CO2 emissions Crude oil Crude oil dependence Defense spending Economic development Emissions Energy development Energy efficiency Energy policy Expenditures Fourier function Imports Military Military expenditure Military strategy Military technology Oil Petroleum Pressure dependence R&D Renewable energy Research & development Time series |
title | Whether crude oil dependence and CO2 emissions influence military expenditure in net oil importing countries? |
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