Journal of Resources and Ecology

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Ecological Footprint and Endogenous Economic Growth in the Poyang Lake Area in China Based on Empirical Analysis of Panel Data Model

HE Yiqing1, CHE Ting2, WANG Yun3   

  1. 1 School of Economics and Management, Nanchang University, Nanchang 330031, China;
    2 Systems Engineering Research Institute, Nanchang University, Nanchang 330031, China;
    3 School of Economics and Management, East China Jiaotong University, Nanchang 330013, China
  • Received:2012-09-24 Revised:2012-11-30 Online:2012-12-30 Published:2012-12-29
  • Supported by:

    the National Natural Science Foundation of China (No.71063015 and No.71263039); Jiangxi Province’s Social Sciences “11th Five-Year Plan” project (No.10YJ61); and Science and Technology Project of the Education Department of Jiangxi Province (No.GJJ11271).

Abstract: In this paper, ecological footprint methods were used to calculate the ecological footprint of six cities (Nanchang, Jingdezhen, Jiujiang, Xinyu, Yingtan and Fuzhou) in the Poyang Lake Area, Jiangxi, China from 1991 to 2010. Ecological footprint was the input factor for ecological resources and the contribution of this and other factors such as labor and capital to economic growth were analyzed. The results showed that, from 1991 to 2010, ecological footprints in the six cities increased year by year. The amount of land for fossil energy, under cultivation and grassland influenced total ecological footprint in each city. The contribution of ecological resources, labor factors and capital factors to economic growth showed regional differences. Nanchang, Jiujiang, Xinyu, and Yingtan are capital-orientated and capital factor had a great influence on the economic growth rates, whereas, Jingdezhen and Fuzhou were labor-orientated. The contribution of ecological resources to economic growth in the six cities was the lowest of all three factors, meaning that efficiency of ecological resource utilization is low. Total productivity plays a key role in economic development; however, the overall level of total factor productivity for the six cities was low and indicates that the technological content of Poyang Lake Area’s economic growth is low and the utilization of input factors extensive. In summary, we suggest changing the mode of economic growth and developing tertiary industry in the region.

Key words: Poyang Lake Area, ecological footprint, endogenous economic growth, panel data model