The causal relationship between carbon emissions and land urbanization quality: A panel data analysis for Chinese provinces

Journal of Cleaner Production

Volumn 137, Issue , 2016, Pages 241-248

  Xu, Hengzhou ^a   Zhang, Wenjing ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

Carbon emission; China; Land urbanization quality; Panel data

Indexed keywords

CARBON DIOXIDE; ENERGY CONSERVATION; INDUSTRIAL EMISSIONS; LAND USE;

CARBON EMISSIONS; CAUSAL RELATIONSHIPS; CHINA; CHINESE GOVERNMENT; INDUSTRIAL RESTRUCTURING; PANEL DATA; PANEL DATA ANALYSIS; URBAN DEVELOPMENT;

URBAN GROWTH;

EID: 84991112512     PISSN: 09596526     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclepro.2016.07.076     Document Type: Article

References (51)

1. Al-Mulali, U., Sab, C.N.B.C., The impact of energy consumption and CO2 emission on the economic growth and financial development in the Sub Saharan African countries. Energy 39:1 (2012), 180–186.
2. Asumadu-Sarkodie, S., Owusu, P.A., Carbon dioxide emissions, GDP, energy use, and population growth: a multivariate and causality analysis for Ghana, 1971–2013. Environ. Sci. Pollut. Res., 2016, 1–13.
3. Brown, P.C., Matsuo-Chun, J., Cultivating commons: joint ownership of arable land in early modern Japan. Ocean. Linguist., 55(1), 2016.
4. Chau, K.W., Wu, C.L., A hybrid model coupled with singular spectrum analysis for daily rainfall prediction. J. Hydroinformatics 12:4 (2010), 458–473.
5. Chen, M., Lu, D., Zha, L., The comprehensive evaluation of China's urbanization and effects on resources and environment. J. Geogr. Sci. 20:1 (2010), 17–30.
6. Chuai, X., Huang, X., Wang, W., Zhao, R., Zhang, M., Wu, C., Land use, total carbon emissions change and low carbon land management in Coastal Jiangsu, China. J. Clean. Prod. 103 (2015), 77–86.
7. Davidson, J., Wibberley, G., Planning and the Rural Environment: Urban and Regional Planning Series. 2016, Elsevier.
8. De Rosa, M., Knudsen, M.T., Hermansen, J.E., A comparison of Land Use Change models: challenges and future developments. J. Clean. Prod. 113 (2016), 183–193.
9. 2 emission, energy consumption, urbanization and trade openness for selected CEECs. Res. World Econ., 7(1), 2016, p52.
10. Du, J., Thill, J.C., Peiser, R.B., Land pricing and its impact on land use efficiency in post-land-reform China: a case study of Beijing. Cities 50 (2016), 68–74.
11. Edwards, M.M., Haines, A., Evaluating smart growth implications for small communities. J. Plan. Educ. Res. 27:1 (2007), 49–64.
12. Farhani, S., Mrizak, S., Chaibi, A., Rault, C., The environmental Kuznets curve and sustainability: a panel data analysis. Energy Policy 71 (2014), 189–198.
13. Feng, K., Zheng, J.E., Wei, S.C., Zheng, W.J., Liu, Y., Spatial difference of urban land intensive use based on the GIS and PSR model -A case study of Zhejiang province. Econ. Geogr., 5, 2007, 023 (in Chinese).
14. Fohrer, N., Haverkamp, S., Frede, H.G., Assessment of the effects of land use patterns on hydrologic landscape functions: development of sustainable land use concepts for low mountain range areas. Hydrol. Process. 19:3 (2005), 659–672.
15. Fröhlich, H.L., Schreinemachers, P., Stahr, K., Clemens, G., (eds.) Sustainable Land Use and Rural Development in Southeast Asia: Innovations and Policies for Mountainous Areas, 2013, Springer Science & Business Media.
16. Fu, P., Weng, Q., A time series analysis of urbanization induced land use and land cover change and its impact on land surface temperature with Landsat imagery. Remote Sens. Environ. 175 (2016), 205–214.
17. Granger, C.W., Investigating causal relations by econometric models and cross-spectral methods. Econ. J. Econ. Soc., 1969, 424–438.
18. Hansen, B.E., Phillips, P.C., Estimation and inference in models of cointegration: a simulation study. Adv. Econ. 8:1989 (1990), 225–248.
19. He, C., Chen, T., Mao, X., Zhou, Y., Economic transition, urbanization and population redistribution in china. Habitat Int. 51 (2016), 39–47.
20. Hubacek, K., Giljum, S., Applying physical input–output analysis to estimate land appropriation (ecological footprints) of international trade activities. Ecol. Econ. 44:1 (2003), 137–151.
21. Intergovernmental Panel on Climate Change, Climate Change 2014: Mitigation of Climate Change, vol. 3, 2015, Cambridge University Press.
22. Jin, J., Wang, Q., Assessing ecological vulnerability in western China based on Time-Integrated NDVI data. J. Arid Land 8:4 (2016), 533–545.
23. Johansen, S., Statistical analysis of cointegration vectors. J. Econ. Dyn. Control 12:2 (1988), 231–254.
24. Kao, C., Spurious regression and residual-based tests for cointegration in panel data. J. Econ. 90:1 (1999), 1–44.
25. Khan, H.N., Khan, M.A., Razli, R.B., Sahfie, A.B., Shehzada, G., Krebs, K.L., et al. Health care expenditure and economic growth in saarc countries (1995–2012): a panel causality analysis. Appl. Res. Qual. Life(January(2015)), 2015, 1–23.
26. Kumar Mandal, S., Madheswaran, S., Causality between energy consumption and output growth in the Indian cement industry: an application of the panel vector error correction model (VECM). Energy Policy 38:11 (2010), 6560–6565.
27. Li, X.G., Zhang, H.M., The empirical research of the relationship between economic growth and energy consumption in Hebei province. Advanced Materials Research, 962, 2014, Trans Tech Publications, 2191–2194.
28. Lin, X., Wang, Y., Wang, S., Wang, D., Spatial differences and driving forces of land urbanization in china. J. Geogr. Sci. 25:5 (2015), 545–558.
29. Liu, S., Maimaitiaili, B., Joergensen, R.G., Feng, G., Response of soil microorganisms after converting a saline desert to arable land in central Asia. Appl. Soil Ecol. 98 (2016), 1–7.
30. Lu, D.D., Yao, S.M., Li, G.P., et al. Comprehensive analysis of the urbanization process based on China's conditions. Econ. Geogr. 27:6 (2007), 883–887 (in Chinese).
31. Meng, Q., Xu, L., Zhang, Y., Qian, J., Cai, M., Xin, Y.,. Barber, S.L., Trends in access to health services and financial protection in China between 2003 and 2011: a cross-sectional study. Lancet 379:9818 (2012), 805–814.
32. Mu, B., Mayer, A.L., He, R., Tian, G., Land use dynamics and policy implications in Central China: a case study of Zhengzhou. Cities 58 (2016), 39–49.
33. Ogundari, K., Maize supply response to price and nonprice determinants in Nigeria: bounds testing approach. Int. Trans. Oper. Res., 2016 (online version).
34. Olivier, J.G.J., Janssens-Maenhout, G., Peters, J.A.H.W., Trends in Global CO2 Emissions. 2012 report Emissions Database for Global Atmospheric Research Edgar.
35. Örsal, D.D.K., Comparison of Panel Cointegration Tests (No. 2007, 029). 2007 SFB 649 discussion paper.
36. Pedroni, P., Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxf. Bull. Econ. Stat. 61:S1 (1999), 653–670.
37. Pedroni, P., Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econ. Theory 20:03 (2004), 597–625.
38. Reed, J., Van Vianen, J., Deakin, E.L., Barlow, J., Sunderland, T., Integrated landscape approaches to managing social and environmental issues in the tropics: learning from the past to guide the future. Glob. Change Biol. 22:7 (2016), 2540–2554.
39. Rizvi, S.Z.A., Nishat, M., The impact of foreign direct investment on employment opportunities: panel data analysis: empirical evidence from pakistan, india and china. Pak. Dev. Rev. 48:4 (2009), 841–851.
40. Rostow, W.W., The stages of economic growth. Econ. Hist. Rev. 12:1 (1959), 1–16.
41. Tugcu, C.T., Tourism and economic growth nexus revisited: a panel causality analysis for the case of the Mediterranean Region. Tour. Manag. 42 (2014), 207–212.
42. Wang, M., Brunekreef, B., Gehring, U., Szpiro, A., Hoek, G., Beelen, R., A new technique for evaluating land-use regression models and their impact on health effect estimates. Epidemiology 27:1 (2016), 51–56.
43. Wang, W.C., Xu, D.M., Chau, K.W., Lei, G.J., Assessment of river water quality based on theory of variable fuzzy sets and fuzzy binary comparison method. Water Resour. Manag. 28:12 (2014), 4183–4200.
44. Wang, X., Spatio-temporal changes in agrochemical inputs and the risk assessment before and after the grain-for-green policy in china. Environ. Monit. Assess. 185:2 (2013), 1927–1937.
45. Wei, X., Wei, C., Cao, X., Li, B., The general land-use planning in China: an uncertainty perspective. Environ. Plan. B Plan. Des. 43:2 (2016), 361–380.
46. Xu, C., Wang, S., Zhou, Y., Wang, L., Liu, W., A comprehensive quantitative evaluation of new sustainable urbanization level in 20 chinese urban agglomerations. Sustainability, 8(2), 2016, 91.
47. Xu, G., Huang, X., Zhong, T., Chen, Y., Wu, C., Jin, Y., Assessment on the effect of city arable land protection under the implementation of china's national general land use plan (2006–2020). Habitat Int. 49 (2015), 466–473.
48. Yao, X., Wang, Z., Zhang, H., Dynamic changes of the ecological footprint and its component analysis response to land use in Wuhan, China. Sustainability, 8(4), 2016, 329.
49. Zhao, M.Y., Cheng, C.T., Chau, K.W., Li, G., Multiple criteria data envelopment analysis for full ranking units associated to environment impact assessment. Int. J. Environ. Pollut. 28:3–4 (2006), 448–464.
50. Zhao, R., Chuai, X., Huang, X., Lai, L., Peng, J., Carbon Emission and Carbon Footprint of Different Industrial Spaces in Different Regions of China. Assessment of Carbon Footprint in Different Industrial Sectors, vol. 1, 2014, Springer, Singapore.
51. Zhou, D., Xu, J., Wang, L., Lin, Z., Assessing urbanization quality using structure and function analyses: a case study of the urban agglomeration around hangzhou bay (uahb), china. Habitat Int. 49 (2015), 165–176.