Evaluating the impact of denitrification tariff on energy-related NOx generation in China: Policy effects and regional disparities
Previous studies analyzing energy related nitrous oxides (NOx) focus on the calculation and influencing factors of NOx generation, but lack sufficient analysis of policy impacts. This paper attempts to evaluate a critical financial incentive for motivating NOx removal in China – the denitrification...
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description | Previous studies analyzing energy related nitrous oxides (NOx) focus on the calculation and influencing factors of NOx generation, but lack sufficient analysis of policy impacts. This paper attempts to evaluate a critical financial incentive for motivating NOx removal in China – the denitrification tariff for power plants. We calculate energy-related NOx generation in 30 provinces from 1995 to 2016, and test the impact of the denitrification tariff using an extended STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) model. We examine policy impacts in the pilot and follower regions with different implementation time, and find significant reduction in NOx generation in both regions. On national average, our model estimates that 1% increase in the denitrification tariff leads to 0.190% decline in energy-related NOx generation, holding other variables constant. The effect size of the tariff is higher in the follower region than in the pilot region, whereas policy effect is lagged for 2 years in the pilot region. We also find socio-economic factors significantly positively correlated with NOx generation. The result suggests that tailored incentives considering regional disparities will work better than a uniform incentive, and a combination of policy instruments in reducing fossil fuel consumption is desired to effectively reduce NOx generation.
•Energy-related NOx generation has noticeable decline around 2013 in China's 30 provinces.•We estimate the impacts of the denitrification tariff using an extended STIRPAT model.•We find 1% increase in denitrification tariff leads to 0.190% decline in energy-related NOx generation.•Policy effects lag 1–2 years in the pilot region.•The tariff is more effective in the follower region. |
doi_str_mv | 10.1016/j.enpol.2020.111520 |
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•Energy-related NOx generation has noticeable decline around 2013 in China's 30 provinces.•We estimate the impacts of the denitrification tariff using an extended STIRPAT model.•We find 1% increase in denitrification tariff leads to 0.190% decline in energy-related NOx generation.•Policy effects lag 1–2 years in the pilot region.•The tariff is more effective in the follower region.</description><identifier>ISSN: 0301-4215</identifier><identifier>EISSN: 1873-6777</identifier><identifier>DOI: 10.1016/j.enpol.2020.111520</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Affluence ; Denitrification ; Denitrification tariff ; Economic factors ; Electric power generation ; Energy ; Energy consumption ; Energy policy ; Energy-related NOx generation ; Evaluation ; Fossil fuels ; Incentives ; Nitrogen oxides ; Nitrous oxide ; Panel data ; Policy evaluation ; Population policy ; Power plants ; Provinces ; Regional analysis ; Regression analysis ; Social factors ; Socioeconomic factors ; Socioeconomics ; STIRPAT model ; Stochasticity ; Tariffs ; Technology</subject><ispartof>Energy policy, 2020-07, Vol.142, p.111520, Article 111520</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Jul 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c430t-9b5c1272f4c4babfcacbb1fd0175cbf2e6402e3811dd3d9fdf2272fe047375ac3</citedby><cites>FETCH-LOGICAL-c430t-9b5c1272f4c4babfcacbb1fd0175cbf2e6402e3811dd3d9fdf2272fe047375ac3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.enpol.2020.111520$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27866,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Yang, Chunyu</creatorcontrib><creatorcontrib>Wang, Yu</creatorcontrib><creatorcontrib>Dong, Zhanfeng</creatorcontrib><title>Evaluating the impact of denitrification tariff on energy-related NOx generation in China: Policy effects and regional disparities</title><title>Energy policy</title><description>Previous studies analyzing energy related nitrous oxides (NOx) focus on the calculation and influencing factors of NOx generation, but lack sufficient analysis of policy impacts. This paper attempts to evaluate a critical financial incentive for motivating NOx removal in China – the denitrification tariff for power plants. We calculate energy-related NOx generation in 30 provinces from 1995 to 2016, and test the impact of the denitrification tariff using an extended STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) model. We examine policy impacts in the pilot and follower regions with different implementation time, and find significant reduction in NOx generation in both regions. On national average, our model estimates that 1% increase in the denitrification tariff leads to 0.190% decline in energy-related NOx generation, holding other variables constant. The effect size of the tariff is higher in the follower region than in the pilot region, whereas policy effect is lagged for 2 years in the pilot region. We also find socio-economic factors significantly positively correlated with NOx generation. The result suggests that tailored incentives considering regional disparities will work better than a uniform incentive, and a combination of policy instruments in reducing fossil fuel consumption is desired to effectively reduce NOx generation.
•Energy-related NOx generation has noticeable decline around 2013 in China's 30 provinces.•We estimate the impacts of the denitrification tariff using an extended STIRPAT model.•We find 1% increase in denitrification tariff leads to 0.190% decline in energy-related NOx generation.•Policy effects lag 1–2 years in the pilot region.•The tariff is more effective in the follower region.</description><subject>Affluence</subject><subject>Denitrification</subject><subject>Denitrification tariff</subject><subject>Economic factors</subject><subject>Electric power generation</subject><subject>Energy</subject><subject>Energy consumption</subject><subject>Energy policy</subject><subject>Energy-related NOx generation</subject><subject>Evaluation</subject><subject>Fossil fuels</subject><subject>Incentives</subject><subject>Nitrogen oxides</subject><subject>Nitrous oxide</subject><subject>Panel data</subject><subject>Policy evaluation</subject><subject>Population policy</subject><subject>Power plants</subject><subject>Provinces</subject><subject>Regional analysis</subject><subject>Regression analysis</subject><subject>Social factors</subject><subject>Socioeconomic factors</subject><subject>Socioeconomics</subject><subject>STIRPAT model</subject><subject>Stochasticity</subject><subject>Tariffs</subject><subject>Technology</subject><issn>0301-4215</issn><issn>1873-6777</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNp9kMtKAzEUhoMoWKtP4CbgempuM2kFF1K8gagLXYdMclJTxsyYpGK3Prmp49rVuX3_4ZwfoVNKZpTQ5nw9gzD03YwRVjqU1ozsoQmdS141Usp9NCGc0EowWh-io5TWhBAxX4gJ-r7-1N1GZx9WOL8B9u-DNhn3DlsIPkfvvCnTPuCsS-FwySBAXG2rCJ3OYPHj0xde7Xoj5wNevvmgL_Bz33mzxeAcmJywDhZHWBVGd9j6NJSF2UM6RgdOdwlO_uIUvd5cvyzvqoen2_vl1UNlBCe5WrS1oUwyJ4xodeuMNm1LnSVU1qZ1DBpBGPA5pdZyu3DWsR0NREgua234FJ2Ne4fYf2wgZbXuN7EckxQTQjSy5nVTKD5SJvYpRXBqiP5dx62iRO3MVmv1a7bama1Gs4vqclRBeeDTQ1TJeAgGrI_leWV7_6_-B6JZi84</recordid><startdate>202007</startdate><enddate>202007</enddate><creator>Yang, Chunyu</creator><creator>Wang, Yu</creator><creator>Dong, Zhanfeng</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>202007</creationdate><title>Evaluating the impact of denitrification tariff on energy-related NOx generation in China: Policy effects and regional disparities</title><author>Yang, Chunyu ; Wang, Yu ; Dong, Zhanfeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c430t-9b5c1272f4c4babfcacbb1fd0175cbf2e6402e3811dd3d9fdf2272fe047375ac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Affluence</topic><topic>Denitrification</topic><topic>Denitrification tariff</topic><topic>Economic factors</topic><topic>Electric power generation</topic><topic>Energy</topic><topic>Energy consumption</topic><topic>Energy policy</topic><topic>Energy-related NOx generation</topic><topic>Evaluation</topic><topic>Fossil fuels</topic><topic>Incentives</topic><topic>Nitrogen oxides</topic><topic>Nitrous oxide</topic><topic>Panel data</topic><topic>Policy evaluation</topic><topic>Population policy</topic><topic>Power plants</topic><topic>Provinces</topic><topic>Regional analysis</topic><topic>Regression analysis</topic><topic>Social factors</topic><topic>Socioeconomic factors</topic><topic>Socioeconomics</topic><topic>STIRPAT model</topic><topic>Stochasticity</topic><topic>Tariffs</topic><topic>Technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Chunyu</creatorcontrib><creatorcontrib>Wang, Yu</creatorcontrib><creatorcontrib>Dong, Zhanfeng</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>Yang, Chunyu</au><au>Wang, Yu</au><au>Dong, Zhanfeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating the impact of denitrification tariff on energy-related NOx generation in China: Policy effects and regional disparities</atitle><jtitle>Energy policy</jtitle><date>2020-07</date><risdate>2020</risdate><volume>142</volume><spage>111520</spage><pages>111520-</pages><artnum>111520</artnum><issn>0301-4215</issn><eissn>1873-6777</eissn><abstract>Previous studies analyzing energy related nitrous oxides (NOx) focus on the calculation and influencing factors of NOx generation, but lack sufficient analysis of policy impacts. This paper attempts to evaluate a critical financial incentive for motivating NOx removal in China – the denitrification tariff for power plants. We calculate energy-related NOx generation in 30 provinces from 1995 to 2016, and test the impact of the denitrification tariff using an extended STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) model. We examine policy impacts in the pilot and follower regions with different implementation time, and find significant reduction in NOx generation in both regions. On national average, our model estimates that 1% increase in the denitrification tariff leads to 0.190% decline in energy-related NOx generation, holding other variables constant. The effect size of the tariff is higher in the follower region than in the pilot region, whereas policy effect is lagged for 2 years in the pilot region. We also find socio-economic factors significantly positively correlated with NOx generation. The result suggests that tailored incentives considering regional disparities will work better than a uniform incentive, and a combination of policy instruments in reducing fossil fuel consumption is desired to effectively reduce NOx generation.
•Energy-related NOx generation has noticeable decline around 2013 in China's 30 provinces.•We estimate the impacts of the denitrification tariff using an extended STIRPAT model.•We find 1% increase in denitrification tariff leads to 0.190% decline in energy-related NOx generation.•Policy effects lag 1–2 years in the pilot region.•The tariff is more effective in the follower region.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enpol.2020.111520</doi></addata></record> |
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subjects | Affluence Denitrification Denitrification tariff Economic factors Electric power generation Energy Energy consumption Energy policy Energy-related NOx generation Evaluation Fossil fuels Incentives Nitrogen oxides Nitrous oxide Panel data Policy evaluation Population policy Power plants Provinces Regional analysis Regression analysis Social factors Socioeconomic factors Socioeconomics STIRPAT model Stochasticity Tariffs Technology |
title | Evaluating the impact of denitrification tariff on energy-related NOx generation in China: Policy effects and regional disparities |
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