Can expanding natural gas consumption reduce China's CO2 emissions?

China is now the world's largest emitter of carbon dioxide (CO2), thus leading to China facing enormous pressure on CO2 emission reduction. Natural gas is a high thermal and low-emission energy. Expanding natural gas consumption cannot only meet the growing demand for energy consumption but als...

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Published inEnergy economics Vol. 81; pp. 393 - 407
Main Authors Xu, Bin, Lin, Boqiang
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier Science Ltd 01.06.2019
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Abstract China is now the world's largest emitter of carbon dioxide (CO2), thus leading to China facing enormous pressure on CO2 emission reduction. Natural gas is a high thermal and low-emission energy. Expanding natural gas consumption cannot only meet the growing demand for energy consumption but also optimize energy consumption structure. Therefore, many scholars have investigated the effect of natural gas consumption on CO2 emissions. However, ignoring a large number of nonlinear relationships between economic variables, the vast majority of existing studies use traditional linear models to explore the relationships between natural gas consumption and CO2 emissions. In order to make up for the gap in existing research, this paper uses the nonparametric additive regression model with data-driven features to investigate the relationships between the two. The results show that natural gas consumption has an inverted "U-shaped" nonlinear effect on CO2 emissions in the eastern region, but a positive "U-shaped" nonlinear effect in the central and western regions. The linear impact of natural gas consumption on CO2 emissions in the eastern and central regions is higher than that in the western region, due to the differences in resource availability and energy prices, as well as natural gas consumption. Therefore, during the process of promoting natural gas consumption, the central and local governments should adopt heterogeneous measures at different stages of development.
AbstractList China is now the world's largest emitter of carbon dioxide (CO2), thus leading to China facing enormous pressure on CO2 emission reduction. Natural gas is a high thermal and low-emission energy. Expanding natural gas consumption cannot only meet the growing demand for energy consumption but also optimize energy consumption structure. Therefore, many scholars have investigated the effect of natural gas consumption on CO2 emissions. However, ignoring a large number of nonlinear relationships between economic variables, the vast majority of existing studies use traditional linear models to explore the relationships between natural gas consumption and CO2 emissions. In order to make up for the gap in existing research, this paper uses the nonparametric additive regression model with data-driven features to investigate the relationships between the two. The results show that natural gas consumption has an inverted "U-shaped" nonlinear effect on CO2 emissions in the eastern region, but a positive "U-shaped" nonlinear effect in the central and western regions. The linear impact of natural gas consumption on CO2 emissions in the eastern and central regions is higher than that in the western region, due to the differences in resource availability and energy prices, as well as natural gas consumption. Therefore, during the process of promoting natural gas consumption, the central and local governments should adopt heterogeneous measures at different stages of development.
Author Xu, Bin
Lin, Boqiang
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Cites_doi 10.1016/j.enpol.2017.03.027
10.1016/j.eneco.2017.11.015
10.1109/TSTE.2016.2615104
10.1016/S0304-4076(98)00009-8
10.1016/j.enpol.2014.05.035
10.3390/su9040600
10.1016/j.eneco.2015.01.005
10.1016/j.eneco.2018.12.005
10.1016/j.apenergy.2017.02.037
10.1016/j.enpol.2018.05.049
10.1016/j.enpol.2017.03.017
10.1016/j.jclepro.2017.08.052
10.1016/j.energy.2013.12.006
10.1016/j.enpol.2016.12.012
10.1016/j.apenergy.2016.07.077
10.1016/j.ecosta.2017.05.005
10.1016/j.energy.2017.02.042
10.1016/j.renene.2010.08.016
10.1016/j.jclepro.2017.12.022
10.1111/ecoj.12285
10.1016/j.jclepro.2017.03.142
10.1016/j.energy.2017.11.114
10.1016/j.eneco.2019.01.004
10.1016/j.jclepro.2017.08.107
10.1016/j.eneco.2017.02.001
10.1007/s10021-018-0264-y
10.1016/j.worlddev.2010.05.011
10.1016/j.eneco.2017.11.004
10.1016/j.rser.2017.05.006
10.1016/j.jclepro.2017.09.013
10.1016/j.eneco.2009.09.013
10.1016/j.serj.2016.10.001
10.1016/0304-4076(88)90045-0
10.1093/biomet/84.2.469
10.1016/j.apenergy.2016.10.127
10.2307/1913236
10.1016/j.compchemeng.2017.01.032
10.1016/j.eneco.2017.11.022
10.1016/j.energy.2019.02.114
10.1016/j.enpol.2017.09.033
10.1016/S0304-4076(01)00098-7
10.1016/j.jclepro.2016.04.095
10.1016/j.regsciurbeco.2017.04.001
10.1007/s12053-016-9488-x
10.1016/j.enpol.2017.06.041
10.1016/j.energy.2017.09.037
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References Qin (10.1016/j.eneco.2019.04.012_bb0175) 2017; 185
Cesur (10.1016/j.eneco.2019.04.012_bb0055) 2017; 127
Linton (10.1016/j.eneco.2019.04.012_bb0155) 1997; 84
Tian (10.1016/j.eneco.2019.04.012_bb0200) 2017; 111
Li (10.1016/j.eneco.2019.04.012_bb0130) 2017; 9
He (10.1016/j.eneco.2019.04.012_bb0110) 2017; 8
Granger (10.1016/j.eneco.2019.04.012_bb0105) 1988; 139
Basso (10.1016/j.eneco.2019.04.012_bb0025) 2017; 123
Liddle (10.1016/j.eneco.2019.04.012_bb0140) 2018; 69
Engle (10.1016/j.eneco.2019.04.012_bb0070) 1987
Filloy (10.1016/j.eneco.2019.04.012_bb0085) 2019; 22
Liu (10.1016/j.eneco.2019.04.012_bb0160) 2017; 105
Xie (10.1016/j.eneco.2019.04.012_bb0215) 2014; 73
Xu (10.1016/j.eneco.2019.04.012_bb0235) 2017; 152
Lin (10.1016/j.eneco.2019.04.012_bb0150) 2017; 166
Li (10.1016/j.eneco.2019.04.012_bb0135) 2011; 39
Geniaux (10.1016/j.eneco.2019.04.012_bb0095) 2018; 72
Blundell (10.1016/j.eneco.2019.04.012_bb0040) 1998; 87
Xu (10.1016/j.eneco.2019.04.012_bb0225) 2018; 175
Agnolucci (10.1016/j.eneco.2019.04.012_bb0010) 2019; 78
Li (10.1016/j.eneco.2019.04.012_bb0125) 2017; 194
Wang (10.1016/j.eneco.2019.04.012_bb0210) 2017; 142
Kounetas (10.1016/j.eneco.2019.04.012_bb0115) 2018; 69
Fang (10.1016/j.eneco.2019.04.012_bb0075) 2018; 120
Yuan (10.1016/j.eneco.2019.04.012_bb0245) 2018; 69
Zheng (10.1016/j.eneco.2019.04.012_bb0250) 2019; 80
Meng (10.1016/j.eneco.2019.04.012_bb0165) 2017; 63
Su (10.1016/j.eneco.2019.04.012_bb0190) 2017; 105
Buja (10.1016/j.eneco.2019.04.012_bb0045) 1989; 17
Yeh (10.1016/j.eneco.2019.04.012_bb0240) 2017; 27
Wang (10.1016/j.eneco.2019.04.012_bb0205) 2017; 108
Sun (10.1016/j.eneco.2019.04.012_bb0195) 2019; 9
10.1016/j.eneco.2019.04.012_bb0015
Costantini (10.1016/j.eneco.2019.04.012_bb0065) 2010; 32
Shaikh (10.1016/j.eneco.2019.04.012_bb8000) 2017; 140
Bildirici (10.1016/j.eneco.2019.04.012_bb0035) 2014; 65
Cagno (10.1016/j.eneco.2019.04.012_bb0050) 2017; 10
Cong (10.1016/j.eneco.2019.04.012_bb0060) 2017; 193
Xu (10.1016/j.eneco.2019.04.012_bb0220) 2015; 48
Bélaïd (10.1016/j.eneco.2019.04.012_bb0030) 2017; 102
Granger (10.1016/j.eneco.2019.04.012_bb0100) 1993
Levin (10.1016/j.eneco.2019.04.012_bb0120) 2002; 108
Stone (10.1016/j.eneco.2019.04.012_bb0185) 1985; 113
Baltagi (10.1016/j.eneco.2019.04.012_bb0020) 2008
Gao (10.1016/j.eneco.2019.04.012_bb0090) 2017; 106
Miller (10.1016/j.eneco.2019.04.012_bb0170) 2011; 36
Feng (10.1016/j.eneco.2019.04.012_bb0080) 2017; 141
Xu (10.1016/j.eneco.2019.04.012_bb0230) 2017; 166
Lin (10.1016/j.eneco.2019.04.012_bb0145) 2017; 168
Abdallah (10.1016/j.eneco.2019.04.012_bb0005) 2017; 78
References_xml – volume: 105
  start-page: 484
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0190
  article-title: Input-output and structural decomposition analysis of Singapore's carbon emissions
  publication-title: Energy Policy
  doi: 10.1016/j.enpol.2017.03.027
– volume: 69
  start-page: 111
  year: 2018
  ident: 10.1016/j.eneco.2019.04.012_bb0115
  article-title: Energy consumption and CO2 emissions convergence in European Union member countries. A tonneau des Danaides?
  publication-title: Energy Econ.
  doi: 10.1016/j.eneco.2017.11.015
– volume: 8
  start-page: 658
  issue: 2
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0110
  article-title: Robust co-optimization scheduling of electricity and natural gas systems via ADMM
  publication-title: IEEE Transactions on Sustainable Energy
  doi: 10.1109/TSTE.2016.2615104
– volume: 87
  start-page: 115
  issue: 1
  year: 1998
  ident: 10.1016/j.eneco.2019.04.012_bb0040
  article-title: Initial conditions and moment restrictions in dynamic panel data models
  publication-title: J. Econ.
  doi: 10.1016/S0304-4076(98)00009-8
– volume: 73
  start-page: 401
  year: 2014
  ident: 10.1016/j.eneco.2019.04.012_bb0215
  article-title: The driving forces of China' s energy use from 1992 to 2010: an empirical study of input-output and structural decomposition analysis
  publication-title: Energy Policy
  doi: 10.1016/j.enpol.2014.05.035
– volume: 9
  start-page: 600
  issue: 4
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0130
  article-title: The role of natural gas and renewable energy in curbing carbon emission: case study of the United States
  publication-title: Sustainability
  doi: 10.3390/su9040600
– volume: 48
  start-page: 188
  year: 2015
  ident: 10.1016/j.eneco.2019.04.012_bb0220
  article-title: How industrialization and urbanization process impacts on CO2 emissions in China: evidence from nonparametric additive regression models
  publication-title: Energy Econ.
  doi: 10.1016/j.eneco.2015.01.005
– volume: 78
  start-page: 546
  year: 2019
  ident: 10.1016/j.eneco.2019.04.012_bb0010
  article-title: Industrial characteristics and air emissions: long-term determinants in the UK manufacturing sector
  publication-title: Energy Econ.
  doi: 10.1016/j.eneco.2018.12.005
– volume: 193
  start-page: 414
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0060
  article-title: Emission trading and carbon market performance in Shenzhen, China
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2017.02.037
– volume: 120
  start-page: 250
  year: 2018
  ident: 10.1016/j.eneco.2019.04.012_bb0075
  article-title: Estimating peak uranium production in China–based on a Stella model
  publication-title: Energy Policy
  doi: 10.1016/j.enpol.2018.05.049
– volume: 105
  start-page: 398
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0160
  article-title: Influencing factors of public support for modern coal-fired power plant projects: an empirical study from China
  publication-title: Energy Policy
  doi: 10.1016/j.enpol.2017.03.017
– volume: 166
  start-page: 628
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0230
  article-title: Geographical analysis of CO2 emissions in China's manufacturing industry: a geographically weighted regression model
  publication-title: J. Clean. Prod.
  doi: 10.1016/j.jclepro.2017.08.052
– volume: 65
  start-page: 134
  year: 2014
  ident: 10.1016/j.eneco.2019.04.012_bb0035
  article-title: The relationship among oil, natural gas, and coal consumption and economic growth in BRICTS (Brazil, Russian, India, China, Turkey and South Africa) countries
  publication-title: Energy
  doi: 10.1016/j.energy.2013.12.006
– volume: 102
  start-page: 277
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0030
  article-title: Environmental degradation, renewable and non-renewable electricity consumption, and economic growth: assessing the evidence from Algeria
  publication-title: Energy Policy
  doi: 10.1016/j.enpol.2016.12.012
– volume: 194
  start-page: 696
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0125
  article-title: Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2016.07.077
– volume: 9
  start-page: 140
  year: 2019
  ident: 10.1016/j.eneco.2019.04.012_bb0195
  article-title: Estimation of a semiparametric varying-coefficient mixed regressive spatial autoregressive model
  publication-title: Econometrics and statistics
  doi: 10.1016/j.ecosta.2017.05.005
– volume: 123
  start-page: 615
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0025
  article-title: How to handle the hydrogen enriched natural gas blends in combustion efficiency measurement procedure of conventional and condensing boilers
  publication-title: Energy
  doi: 10.1016/j.energy.2017.02.042
– volume: 36
  start-page: 1040
  issue: 3
  year: 2011
  ident: 10.1016/j.eneco.2019.04.012_bb0170
  article-title: A benchmark for life cycle air emissions and life cycle impact assessment of hydrokinetic energy extraction using life cycle assessment
  publication-title: Renew. Energy
  doi: 10.1016/j.renene.2010.08.016
– volume: 175
  start-page: 109
  year: 2018
  ident: 10.1016/j.eneco.2019.04.012_bb0225
  article-title: Investigating the differences in CO2 emissions in the transport sector across Chinese provinces: evidence from a quantile regression model
  publication-title: J. Clean. Prod.
  doi: 10.1016/j.jclepro.2017.12.022
– volume: 127
  start-page: 330
  issue: 600
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0055
  article-title: Air pollution and infant mortality: evidence from the expansion of natural gas infrastructure
  publication-title: Econ. J.
  doi: 10.1111/ecoj.12285
– volume: 152
  start-page: 259
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0235
  article-title: Assessing CO2 emissions in China's iron and steel industry: evidence from quantile regression approach
  publication-title: J. Clean. Prod.
  doi: 10.1016/j.jclepro.2017.03.142
– volume: 141
  start-page: 1869
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0080
  article-title: The economy-wide energy efficiency in China's regional building industry
  publication-title: Energy
  doi: 10.1016/j.energy.2017.11.114
– volume: 80
  start-page: 153
  year: 2019
  ident: 10.1016/j.eneco.2019.04.012_bb0250
  article-title: Economic growth, urbanization and energy consumption—a provincial level analysis of China
  publication-title: Energy Econ.
  doi: 10.1016/j.eneco.2019.01.004
– volume: 166
  start-page: 952
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0150
  article-title: Impacts of urbanization and real economic development on CO2 emissions in non-high income countries: empirical research based on the extended STIRPAT model
  publication-title: J. Clean. Prod.
  doi: 10.1016/j.jclepro.2017.08.107
– volume: 63
  start-page: 161
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0165
  article-title: Spatial spillover effects in determining China's regional CO2 emissions growth: 2007–2010
  publication-title: Energy Econ.
  doi: 10.1016/j.eneco.2017.02.001
– volume: 22
  start-page: 213
  issue: 1
  year: 2019
  ident: 10.1016/j.eneco.2019.04.012_bb0085
  article-title: Bird diversity in urban ecosystems: the role of the biome and land use along urbanization gradients
  publication-title: Ecosystems
  doi: 10.1007/s10021-018-0264-y
– volume: 39
  start-page: 1240
  issue: 7
  year: 2011
  ident: 10.1016/j.eneco.2019.04.012_bb0135
  article-title: Sources of external technology, absorptive capacity, and innovation capability in Chinese state-owned high-tech enterprises
  publication-title: World Dev.
  doi: 10.1016/j.worlddev.2010.05.011
– volume: 69
  start-page: 71
  year: 2018
  ident: 10.1016/j.eneco.2019.04.012_bb0140
  article-title: Consumption-based accounting and the trade-carbon emissions nexus
  publication-title: Energy Econ.
  doi: 10.1016/j.eneco.2017.11.004
– volume: 78
  start-page: 1350
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0005
  article-title: A semi-parametric panel data analysis on the urbanization-carbon emissions nexus for the MENA countries
  publication-title: Renew. Sust. Energ. Rev.
  doi: 10.1016/j.rser.2017.05.006
– volume: 168
  start-page: 780
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0145
  article-title: Energy and carbon intensity in China during the urbanization and industrialization process: a panel VAR approach
  publication-title: J. Clean. Prod.
  doi: 10.1016/j.jclepro.2017.09.013
– volume: 32
  start-page: 591
  issue: 3
  year: 2010
  ident: 10.1016/j.eneco.2019.04.012_bb0065
  article-title: The causality between energy consumption and economic growth: a multi-sectoral analysis using non-stationary cointegrated panel data
  publication-title: Energy Econ.
  doi: 10.1016/j.eneco.2009.09.013
– volume: 27
  start-page: 41
  issue: 1
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0240
  article-title: Impact of population and economic growth on carbon emissions in Taiwan using an analytic tool STIRPAT
  publication-title: Sustainable Environment Research
  doi: 10.1016/j.serj.2016.10.001
– volume: 139
  start-page: 199
  issue: 1/2
  year: 1988
  ident: 10.1016/j.eneco.2019.04.012_bb0105
  article-title: Some recent developments in a concept of causality
  publication-title: J. Econ.
  doi: 10.1016/0304-4076(88)90045-0
– volume: 84
  start-page: 469
  issue: 2
  year: 1997
  ident: 10.1016/j.eneco.2019.04.012_bb0155
  article-title: Miscellanea efficient estimation of additive nonparametric regression models
  publication-title: Biometrika
  doi: 10.1093/biomet/84.2.469
– volume: 185
  start-page: 604
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0175
  article-title: Air emissions perspective on energy efficiency: an empirical analysis of China's coastal areas
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2016.10.127
– start-page: 251
  year: 1987
  ident: 10.1016/j.eneco.2019.04.012_bb0070
  article-title: Co-integration and error correction: representation, estimation, and testing
  publication-title: Econometrica: Journal of the Econometric Society
  doi: 10.2307/1913236
– volume: 106
  start-page: 699
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0090
  article-title: Design and optimization of shale gas energy systems: overview, research challenges, and future directions
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2017.01.032
– volume: 69
  start-page: 404
  year: 2018
  ident: 10.1016/j.eneco.2019.04.012_bb0245
  article-title: The evolution of inter-sectoral linkages in China's energy-related CO2 emissions from 1997 to 2012
  publication-title: Energy Econ.
  doi: 10.1016/j.eneco.2017.11.022
– ident: 10.1016/j.eneco.2019.04.012_bb0015
  doi: 10.1016/j.energy.2019.02.114
– volume: 111
  start-page: 394
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0200
  article-title: Promoting green productivity growth for China's industrial exports: evidence from a hybrid input-output model
  publication-title: Energy Policy
  doi: 10.1016/j.enpol.2017.09.033
– year: 2008
  ident: 10.1016/j.eneco.2019.04.012_bb0020
– volume: 17
  start-page: 453
  year: 1989
  ident: 10.1016/j.eneco.2019.04.012_bb0045
  article-title: Linear smoothers and additive models
  publication-title: Ann. Stat.
– volume: 108
  start-page: 1
  issue: 1
  year: 2002
  ident: 10.1016/j.eneco.2019.04.012_bb0120
  article-title: Unit root tests in panel data: asymptotic and finite-sample properties
  publication-title: J. Econ.
  doi: 10.1016/S0304-4076(01)00098-7
– volume: 142
  start-page: 548
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0210
  article-title: China's natural gas consumption peak and factors analysis: a regional perspective
  publication-title: J. Clean. Prod.
  doi: 10.1016/j.jclepro.2016.04.095
– volume: 72
  start-page: 74
  year: 2018
  ident: 10.1016/j.eneco.2019.04.012_bb0095
  article-title: A new method for dealing simultaneously with spatial autocorrelation and spatial heterogeneity in regression models
  publication-title: Reg. Sci. Urban Econ.
  doi: 10.1016/j.regsciurbeco.2017.04.001
– volume: 113
  start-page: 689
  year: 1985
  ident: 10.1016/j.eneco.2019.04.012_bb0185
  article-title: Additive regression and other nonparametric models
  publication-title: Ann. Stat.
– volume: 10
  start-page: 855
  issue: 4
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0050
  article-title: Drivers for energy efficiency and their effect on barriers: empirical evidence from Italian manufacturing enterprises
  publication-title: Energy Efficiency
  doi: 10.1007/s12053-016-9488-x
– volume: 108
  start-page: 696
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb0205
  article-title: Decline in China's coal consumption: an evidence of peak coal or a temporary blip?
  publication-title: Energy Policy
  doi: 10.1016/j.enpol.2017.06.041
– volume: 140
  start-page: 941
  year: 2017
  ident: 10.1016/j.eneco.2019.04.012_bb8000
  article-title: Forecasting China’s natural gas demand based on optimised nonlinear grey models.
  publication-title: Energy
  doi: 10.1016/j.energy.2017.09.037
– year: 1993
  ident: 10.1016/j.eneco.2019.04.012_bb0100
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Snippet China is now the world's largest emitter of carbon dioxide (CO2), thus leading to China facing enormous pressure on CO2 emission reduction. Natural gas is a...
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SubjectTerms Carbon dioxide
Carbon dioxide emissions
Developmental stages
Economic models
Emissions
Emissions control
Emitters
Energy consumption
Energy economics
Energy prices
Linear analysis
Local government
Natural gas
Natural gas industry
Regression models
Resource availability
Supply & demand
Title Can expanding natural gas consumption reduce China's CO2 emissions?
URI https://www.proquest.com/docview/2287460771
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