Research on Sustainable Development of Xi’an City Based on ecological Footprint Model



This paper evaluates the sustainable development of Xi’an city with the ecological footprint method. Based on the ecological footprint method, it calculates the per capita ecological footprint of Xi’an city from the year 2000 to 2017. With the calculation result, the paper forecasts the per capita ecological carrying capacity and per capita ecological deficit, and draws the following conclusion: during the study period, ecological deficit occurs every year, and the ecological deficit in each year exceeds global average per capita ecological deficit. Besides, both ecological footprint and ecological deficit have a tendency to increase year by year, and the growth rates of both are higher than the growth rate of ecological carrying capacity. According to the calculation results of ecological footprint, ecological carrying capacity and ecological deficit of Xi’an city from the year 2000 to 2017, the GM (1, 1) model is used to predict the above three indicators. The predicted results show that the load of ecological environment in Xi’an region is over the ecological carrying capacity caused by the production and living activities of human beings. The resources and environmental system are under great pressure, and the regional development mode is in an unsustainable state. It is a necessity to reduce ecological footprint by improving industrial economic efficiency, cultivating the consumption habits of energy saving and environmental protection, promoting investment in environmental protection and stimulating technological progress, so as to promote the sustainable development of Xi’an city.


Ecological footprint; Ecological carrying capacity; Ecological deficit; Sustainable development; Xi’an city

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Anass, B., Youness, L., & Abderrahmene, G. (2019). Ecological footprint accounting: A multi-scale approach based on net primary productivity. Environmental Impact Assessment Review, (7), 136-144.

Aşici, A. A. (2013). Economic growth and its impact on environment: A panel data analysis. Ecological Indicators, 1, 324-333.

Diao, W. Y., Tian, B. P., Ma, P., et al. (2012). Trade ecological footprint analysis of China’s agricultural. Advanced Materials Research (pp.2340-2343).

Dilawar, H., Pulkit, G., & Ravi, P. (2019). Ecological footprint assessment and its reduction for industrial food products. International Journal of Sustainable Engineering.

Imran, W. M., Elashkar, E. E., et al. (2019). Measuring the ecological footprint of inbound and outbound tourists: evidence from a panel of 35 countries. Clean Technologies and Environmental Policy, 11, 1949-1967.

Jammazi, R., & Aloui, C. (2015). Environment degradation, economic growth and energy consumption nexus: A wavelet-windowed cross correlation approach.Statistical Mechanics and its Applications, 2015, 10:110-125.

Kuznets, S. (1949). National Income and Industrial Structure. Econometrica (pp.205-241)

Lin, U. R. (2017). Persistence of policy shocks to Ecological Footprint of the USA. Ecological Indicators, 9, 337-343.

Peng, B. H., Li, Y., Ehsan, E., et al. (2019). Dynamic evolution of ecological carrying capacity based on the ecological footprint theory: A case study of Jiangsu province. Ecological Indicators, (4), 19-26.

Rees, W. E. (1992). Ecological footprints and appropriated carrying capacity: What urban economics leaves out. Environment andUrbanization, 4(2), 121-130.

Rong, Q. Q., Cai, Y. P., Su, M. R., et al. (2019). Identification of the optimal agricultural structure and population size in a reservoir watershed based on the water ecological carrying capacity under uncertainty. Journal of Cleaner Production, (10), 340-352.

Yao, T. X., & Gong, Z. W. (2014). Gray prediction theory and its application (in Chinese). Beijing: Science Press.

Zhang, Z. Q., Xu, Z. M., Cheng, G. D., et al. (2001). The ecological footprints of the 12 provinces of west China in 1999. Acta Geographica Sinica, 5, 599-610.



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