Does environmental infrastructure investment contribute to emissions reduction? A case of China
Xiaoqian SONG1, Yong GENG2(), Ke LI3, Xi ZHANG4, Fei WU4, Hengyu PAN4, Yiqing ZHANG5
1. China Institute of Urban Governance, Shanghai Jiao Tong University, Shanghai 200030 2. School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai 200030, China; China Institute of Urban Governance, Shanghai Jiao Tong University, Shanghai 200030, China; School of Management, China University of Mining and Technology, Xuzhou 221116, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China 3. College of Mathematics & Computer Science, Hunan Normal University, Changsha 410081, China 4. School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China 5. Collaborative Innovation Centre for Energy Economy of Shandong, Shandong Technology and Business University, Yantai 264005, China
Environmental infrastructure investment (EII) is an important environmental policy instrument on responding to greenhouse gas (GHG) emission and air pollution. This paper employs an improved stochastic impact by regression on population, affluence and technology (STRIPAT) model by using panel data from 30 Chinese provinces and municipalities for the period of 2003–2015 to investigate the effect of EII on CO2 emissions, SO2 emissions, and PM2.5 pollution. The results indicate that EII has a positive and significant effect on mitigating CO2 emission. However, the effect of EII on SO2 emission fluctuated although it still contributes to the reduction of PM2.5 pollution through technology innovations. Energy intensity has the largest impact on GHG emissions and air pollution, followed by GDP per capita and industrial structure. In addition, the effect of EII on environmental issues varies in different regions. Such findings suggest that policies on EII should be region-specific so that more appropriate mitigation policies can be raised by considering the local realities.
V Krey, B C O’Neill, B Van Ruijven, V Chaturvedi, V Daioglou, J Eom, L Jiang, Y Nagai, S Pachauri, X Ren. Urban and rural energy use and carbon dioxide emissions in Asia. Energy Economics, 2012, 34(S3): 272–283 https://doi.org/10.1016/j.eneco.2012.04.013
2
X Q Song, Y Geng, H J Dong, W Chen. Social network analysis on industrial symbiosis: a case of Gujiao eco-industrial park. Journal of Cleaner Production, 2018, 193: 414–423 https://doi.org/10.1016/j.jclepro.2018.05.058
3
Z Gao, Y Geng, R Wu, W Chen, F Wu, X Tian. Analysis of energy-related CO2 emissions in China’s pharmaceutical industry and its driving forces. Journal of Cleaner Production, 2019, 223: 94–108 https://doi.org/10.1016/j.jclepro.2019.03.092
4
J Strand, S Miller, S Siddiqui. Long-run carbon emission implications of energy-intensive infrastructure investments with a retrofit option. Energy Economics, 2014, 46: 308–317 https://doi.org/10.1016/j.eneco.2014.10.002
5
R Wu, H C Dai, Y Geng, Y Xie, X Tian. Impacts of export restructuring on national economy and CO2 emissions : a general equilibrium analysis for China. Applied Energy, 2019, 248: 64–78 https://doi.org/10.1016/j.apenergy.2019.04.024
6
C Li, C McLinden, V Fioletov, N Krotkov, S Carn, J Joiner, D Streets, H He, X Ren, Z Li, R R Dickerson. India is overtaking China as the world’s largest emitter of anthropogenic sulfur dioxide. Scientific Reports, 2017, 7(1): 1–7 https://doi.org/10.1038/s41598-017-14639-8
7
Q Wang, J Zhao, W Du, G Ana, Z Wang, L Sun, Y Wang, F Zhang, Z Li, X Ye, Y Sun. Characterization of submicron aerosols at a suburban site in central China. Atmospheric Environment, 2016, 131: 115–123 https://doi.org/10.1016/j.atmosenv.2016.01.054
8
X Tian, H Dai, Y Geng, J Wilson, R Wu, Y Xie, H Hao. Economic impacts from PM2.5 pollution-related health effects in China’s road transport sector: a provincial-level analysis. Environmental Science & Technology, 2018, 115: 220–229 https://doi.org/10.1016/j.envint.2018.03.030
9
S Wang, C Zhou, Z Wang, K Feng, K Hubacek. The characteristics and drivers of fine particulate matter (PM2.5) distribution in China. Journal of Cleaner Production, 2017, 142: 1800–1809 https://doi.org/10.1016/j.jclepro.2016.11.104
10
A S Nagpure, A Ramaswami, A Russell. Characterizing the spatial and temporal patterns of open burning of municipal solid waste (MSW) in Indian cities. Environmental Science & Technology, 2015, 49(21): 12904–12912 https://doi.org/10.1021/acs.est.5b03243
11
National Bureau of Statistics of the People’s Republic of China. China Statistical Yearbook on Environment 2016. Beijing: Statistics Press, 2017
12
China Daily. Environmental infrastructure investment will reach 17 trillion yuan, PPP projects are under strict control. 2017–12–04, available at website of baidu
13
G W Gruver. Optimal investment in pollution control capital in a neoclassical growth context. Journal of Environmental Economics and Management, 1976, 3(3): 165–177 https://doi.org/10.1016/0095-0696(76)90016-4
14
M Wietschel, U Hasenauer, A de Groot. Development of European hydrogen infrastructure scenarios-CO2 reduction potential and infrastructure investment. Energy Policy, 2006, 34(11): 1284–1298 https://doi.org/10.1016/j.enpol.2005.12.019
15
R Jayaraman, D L Torre, T Malik, Y E Pearson. A polynomial goal programming model with application to energy consumption and emissions in United Arab Emirates. In: Proceedings of the International Conference on Industrial Engineering and Operations Management, Dubai, United Arab Emirates, 2015: 249–253 https://doi.org/10.1109/IEOM.2015.7093869
16
H Zhu, H Xia, Y Guo, C Peng. The heterogeneous effects of urbanization and income inequality on CO2 emissions in BRICS economies: evidence from panel quantile regression. Environmental Science and Pollution Research International, 2018, 25(17): 17176–17193 https://doi.org/10.1007/s11356-018-1900-y
17
G Denafas, D Sitnikovas, A Galinis, I Kudrenickis, G Klavs, R Kuusik. Predicting CO2 and SO2 emissions in the Baltic States through reorganization of energy infrastructure. Environment International, 2004, 30(8): 1045–1053 https://doi.org/10.1016/j.envint.2004.05.004
18
V M Jayasooriya, A W M Ng, S Muthukumaran, B J C Perera. Green infrastructure practices for improvement of urban air quality. Urban Forestry & Urban Greening, 2017, 21: 34–47 https://doi.org/10.1016/j.ufug.2016.11.007
19
J M Barandica, G Fernández-Sánchez, Á Berzosa, J A Delgado, F J Acosta. Applying life cycle thinking to reduce greenhouse gas emissions from road projects. Journal of Cleaner Production, 2013, 57: 79–91 https://doi.org/10.1016/j.jclepro.2013.05.036
20
S Fuller, M Gillis, C Parnell, r A Ramaiye. Effect of investment in air pollution controls on financial performance of Texas cotton gins: a simulation analysis. Departmental Reports, 1997, 171: 71–76
21
G P Peters, C L Weber, G Dabo, K Hubacek. China’s growing CO2 emissions–a race between increasing consumption and efficiency gains. Environmental Science & Technology, 2007, 41(17): 5939–5944 https://doi.org/10.1021/es070108f
22
G Ozcan-Deniz, Y Zhu. Multi-objective optimization of greenhouse gas emissions in highway construction projects. Sustainable Cities and Society, 2017, 28: 162–171 https://doi.org/10.1016/j.scs.2016.09.009
23
F Bottalico, G Chirici, F Giannetti, A De Marco, S Nocentini, E Paoletti, F Salbitano, G Sanesi, C Serenelli, D Travaglini. Air pollution removal by green infrastructures and urban forests in the city of Florence. Agriculture and Agricultural Science Procedia, 2016, 8: 243–251 https://doi.org/10.1016/j.aaspro.2016.02.099
24
B Xu, B Lin. Regional differences of pollution emissions in China: contributing factors and mitigation strategies. Journal of Cleaner Production, 2016, 112: 1454–1463 https://doi.org/10.1016/j.jclepro.2015.03.067
K Feng, K Hubacek, D Guan. Lifestyles, technology and CO2 emissions in China: a regional comparative analysis. Ecological Economics, 2009, 69(1): 145–154 https://doi.org/10.1016/j.ecolecon.2009.08.007
27
S Shafiei, R A Salim. Non-renewable and renewable energy consumption and CO2 emissions in OECD countries: a comparative analysis. Energy Policy, 2014, 66: 547–556 https://doi.org/10.1016/j.enpol.2013.10.064
28
R York, E A Rosa, T Dietz. STIRPAT, IPAT and IMPACT: analytic tools for unpacking the driving forces of environmental impacts. Ecological Economics, 2003, 46(3): 351–365 https://doi.org/10.1016/S0921-8009(03)00188-5
29
T Dietz, E A Rosa. Rethinking the environmental impacts of population, affluence and technology. Human Ecology Review, 1994, 1: 277–300
30
B Liddle. What are the carbon emissions elasticities for income and population? Bridging STIRPAT and EKC via robust heterogeneous panel estimates. Global Environmental Change, 2015, 31: 62–73 https://doi.org/10.1016/j.gloenvcha.2014.10.016
31
W Li, S Sun. Air pollution driving factors analysis: evidence from economically developed area in China. Environmental Progress & Sustainable Energy, 2016, 35(4): 1231–1239 https://doi.org/10.1002/ep.12316
32
Y W Wang, R Han, J Kubota. Is there an environmental Kuznets curve for SO2 emissions? A semi-parametric panel data analysis for China. Renewable & Sustainable Energy Reviews, 2016, 54: 1182–1188 https://doi.org/10.1016/j.rser.2015.10.143
33
B Xu, B Lin. What cause large regional differences in PM2.5 pollutions in China? Evidence from quantile regression model. Journal of Cleaner Production, 2018, 174: 447–461 https://doi.org/10.1016/j.jclepro.2017.11.008
34
Y Fan, L C Liu, G Wu, Y M Wei. Analyzing impact factors of CO2 emissions using the STIRPAT model. Environmental Impact Assessment Review, 2006, 26(4): 377–395 https://doi.org/10.1016/j.eiar.2005.11.007
35
S Rafiq, R Salim, I Nielsen. Urbanization, openness, emissions, and energy intensity: a study of increasingly urbanized emerging economies. Energy Economics, 2016, 56: 20–28 https://doi.org/10.1016/j.eneco.2016.02.007
36
P Poumanyvong, S Kaneko. Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis. Ecological Economics, 2010, 70(2): 434–444 https://doi.org/10.1016/j.ecolecon.2010.09.029
J Jia, H Deng, J Duan, J Zhao. Analysis of the major drivers of the ecological footprint using the STIRPAT model and the PLS method —a case study in Henan province, China. Ecological Economics, 2009, 68(11): 2818–2824 https://doi.org/10.1016/j.ecolecon.2009.05.012
39
H R Sahely, C A Kennedy, B J Adams. Developing sustainability criteria for urban infrastructure systems. Canadian Journal of Civil Engineering, 2005, 32(1): 72–85 https://doi.org/10.1139/l04-072
40
K Li, N Zhang, Y Liu. The energy rebound effects across China’s industrial sectors: an output distance function approach. Applied Energy, 2016, 187: 1165–1175 https://doi.org/10.1016/j.apenergy.2016.06.117
41
M Liu, Y Huang, Z Jin, Z Ma, X Liu, B Zhang, Y Liu, Y Yu, J Wang, J Bi, P L Kinney. The nexus between urbanization and PM2.5 related mortality in China. Environmental Pollution, 2017, 227: 15–23 https://doi.org/10.1016/j.envpol.2017.04.049
42
B I Prashant Kumar. Footprints of air pollution and changing environment on the sustainability of built infrastructure. Science of the Total Environment, 2013, 444: 85–101 https://doi.org/10.1016/j.scitotenv.2012.11.056
43
Z Liu, D Guan, W Wei, S J Davis, P Ciais, J Bai, S Peng, Q Zhang, K Hubacek, G Marland, R J Andres, D Crawford-Brown, J Lin, H Zhao, C Hong, T A Boden, K Feng, G P Peters, F Xi, J Liu, Y Li, Y Zhao, N Zeng, K He. Reduced carbon emission estimates from fossil fuel combustion and cement production in China. Nature, 2015, 524(7565): 335–338 https://doi.org/10.1038/nature14677
44
D Guan, J Meng, D M Reiner, N Zhang, Y Shan, Z Mi, S Shao, Z Liu, Q Zhang, S J Davis. Structural decline in China’s CO2 emissions through transitions in industry and energy systems. Nature Geoscience, 2018, 11(8): 551–555 https://doi.org/10.1038/s41561-018-0161-1
K Li, B Lin. Impacts of urbanization and industrialization on energy consumption/CO2 emissions: does the level of development matter? Renewable & Sustainable Energy Reviews, 2015, 52: 1107–1122 https://doi.org/10.1016/j.rser.2015.07.185
Y Wang, Y Sun, L I Wei. Research on the impact of population-related factors on carbon emission: an empirical analysis based on the varying-intercept model. Ecological Economics, 2017, 33: 19–23
49
F Fan, Y Lei. Factor analysis of energy-related carbon emissions: a case study of Beijing. Journal of Cleaner Production, 2017, 163: 277–283 https://doi.org/10.1016/j.jclepro.2015.07.094
50
Y Yang, T Zhao, Y Wang, Z Shi. Research on impacts of population-related factors on carbon emissions in Beijing from 1984 to 2012. Environmental Impact Assessment Review, 2015, 55: 45–53 https://doi.org/10.1016/j.eiar.2015.06.007
51
N Zhang, K Yu, Z Chen. How does urbanization affect carbon dioxide emissions? A cross-country panel data analysis. Energy Policy, 2017, 107: 678–687 https://doi.org/10.1016/j.enpol.2017.03.072
52
M Fujita, P R Krugman, A J Venables. The Spatial Economy: Cities, Regions, and International Trade. Boston: MIT Press, 2011, 86: 283–285
53
M Fujita, J F Thisse. Does geographical agglomeration foster economic growth? And who gains and losses from it? Japanese Economic Review, 2003, 54(2): 121–145 https://doi.org/10.1111/1468-5876.00250
54
M Wooldridge, N R Jennings, D Kinny. A methodology for agent-oriented analysis and design. The third annual conference,1999. 2019–10–08, available at website of citeseerx.ist.psu.edu
55
L C Hamilton. Statistics with STATA –Version 12. Boston: Cengage Learning, 2012
56
J M Wooldridge. Introductory Econometrics: a Modern Approach. Nelson Education, 2015
57
B Liddle. Impact of population, age structure, and urbanization on carbon emissions/energy consumption: evidence from macro-level, cross-country analyses. Population and Environment, 2014, 35(3): 286–304 https://doi.org/10.1007/s11111-013-0198-4
58
Finance and Economics Committee of the National People’s Congress. The 7th Five-Year Plan of People’s Republic of China (1986–1990). Beijing: People’s Publishing Press, 1987
59
W X Lin. The causes of the unbalanced economic development between the east and the west in the history of China. Ideological Front, 2001, 27: 1–9
60
Y Liu. Proposal on rise of the central region. Journal of Zhengzhou Institute of Aeronautical Industry Management, 2005, 23: 1–8 (in Chinese)
61
K A Ono, D J Boness, O T Oftedal. The effect of a natural environmental disturbance on maternal investment and pup behavior in the California sea lion. Behavioral Ecology and Sociobiology, 1987, 21(2): 109–118 https://doi.org/10.1007/BF02395438
J He. Pollution haven hypothesis and environmental impacts of foreign direct investment: the case of industrial emission of sulfur dioxide (SO) in Chinese provinces. Ecological Economics, 2007, 60(1): 228–245 https://doi.org/10.1016/j.ecolecon.2005.12.008
64
Y Zhang, C Liu, L Ke, Y ZhouStrategy on China’s regional coal consumption control: a case study of Shandong province. Energy Policy, 2018, 112: 316–327 https://doi.org/10.1016/j.enpol.2017.10.035
65
Y Li, F Zhang, J Yuan. Research on China’s renewable portfolio standards from the perspectives of policy networks. Journal of Cleaner Production, 2019, 222: 986–997 https://doi.org/10.1016/j.jclepro.2019.03.090