Resources Science ›› 2018, Vol. 40 ›› Issue (8): 1595-1607.doi: 10.18402/resci.2018.08.10

• Orginal Article • Previous Articles     Next Articles

Research on factors influencing the provincial technical inefficiency of forest parks under multi-output targets in China

Ansheng HUANG1,2,3(), Siren LAN1,3(), Huibing ZOU2   

  1. 1. Forest Park Engineering Research Center of State Forestry Administration, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    2. Institute of Sustainable Development, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    3. National Forestry and Grassland Administration Research Center for Collective Forestry Reform and Development, Fujian Agriculture and Forestry University, Fuzhou 350002, China
  • Received:2017-09-12 Revised:2018-06-14 Online:2018-08-25 Published:2018-08-10

Abstract:

Forest parks are designed to provide economic, social and ecological effects. Based on provincial statistical data related to forest parks in mainland China and collection of each year from 2004 to 2015, the present study employed stochastic frontier analysis to demonstrate the provincial technical efficiency and inefficiency of the multiple output targets established for these forest parks, including economic, social, and ecological products. By referring to the supply-demand theory, a Tobit model was used to measure and analyze the effects of supply factors and demand factors on the provincial technical inefficiency of these forest parks. This study showed that the mean of provincial technical efficiency of China’s forest parks was only 0. 3684 from 2004 to 2015, leaving plenty of room for promotion. The average of total inefficiency was as high as 0.6316, and the mean of technical inefficiency was also as high as 0. 5144. The efficiency values of forest parks for the main forest regions in China listed in descending order were: Southwest Forest Region, Southern Forest Region, North Forest Region, Northeast Forest Region and Northwest Forest Region. For influencing factors of demand, a nonlinear and U-shaped relationship was observed between GDP per capita and provincial technical inefficiency of these forest parks. Meanwhile, the population density and urbanization rate did exhibit a positive influence on the provincial technical inefficiency of these forest parks. For influencing factors of supply, high-level tourism resource density, high-grade highway density, forest coverage, and investment intensity illustrated a negative influence on the provincial technical inefficiency of these forest parks to varying degrees.

Key words: forest park, technical inefficiency, stochastic frontier analysis, Tobit model, influencing factor