Abstract

Ecological compensation is a new area in the field of resources environment. In this study, we set an empirical analysis model about ecological compensation mechanism and analyze influential factors based on agricultural perspective. The result shows that: first, loss of development opportunities is the most important factor that will affect ecological compensation, the regression coefficient is 0.071; sec, environmental protection cost is the most significant variable in ecological compensation, the sig value is 0.007 and the regression coefficient is positive; third, public awareness has high coefficient value as 0.048, means that public awareness plays a positive effect. Overall, the regression model of the empirical results with the above assumptions, under the 10% significant level, the loss of development opportunities; environmental protection cost; the compensation standard; public awareness of the value of ecological environment variable are significantly variables that affecting ecological compensation and the effects of other variables are not obvious. On this basis, we put forward relevant suggestions.

Keywords:

Ecological compensation, economy benefit, public awareness, water resources,

References

1. Ana, V. and P. Jordi, 2013. A proposal to improve ecological compensation practice in road and railway projects in Spain. Environ. Impact Assess. Rev., 42: 87-94.
   CrossRef    
2. Anne, C. and H. Levrel, 2013. Selecting ecological indicators to compare maintenance costs related to the compensation of damaged ecosystem services. Ecol. Indic., 29: 255-269.
   CrossRef    
3. Chen, Q. and L. Zhou, 2014. Evaluation of E-commerce performance in smes based on vector auto regression model. Int. J. u- and e- Serv. Sci. Technol., 7(5): 151-160.
   Direct Link
4. Dohyeong, K. and G. Yang, 2014. Social and ecological impacts of the Hebei Spirit oil spill on the west coast of Korea: Implications for compensation and recovery. Ocean Coastal Manag., 102: 533-544.
   CrossRef    
5. Georg, A.J. and E. Lanz, 2008. Aquatic macrophytes and hydro-electric power station reservoirs in regulated rivers: Man-made ecological compensation structures and the "ecological potential". Ecohydrol. Hydrobiol., 8(2): 149-157.
   
6. Li, Z. and Z. Ning, 2012. Research on liquidity risk and financial fragility of Chinese commercial banks. Adv. Inform. Sci. Serv. Sci., 4(22): 787-793.
   Direct Link
7. Li, Z., 2012. Study on how financial institutions positively impact on china's Lowcarbon economy growth. Adv. Inform. Sci. Serv. Sci., 4(22): 779-786.
   Direct Link
8. Li, Z., 2013. Optimal compensation rate appraisal and selection based on data mining method. Int. J. Appl. Math. Stat., 50: 37-46.
   Direct Link
9. Li, Z. 2014. Energy efficiency and investments in low-carbon economy: The impact of carbon finance on sustainability development. J. Chem. Pharm. Res., 6(5): 1255-1261.
   Direct Link
10. Luz, S.B., I. Bergier and E. Ortega, 2013. Dynamic emergy valuation of water hyacinth biomass in wetlands: An ecological approach. J. Cleaner Prod., 54(1): 177-187.
    
11. Laurence, S., A. Inman and R. Cherrington, 2012. The potential of land conservation agreements for protection of water resources. Environ. Sci. Policy, 24: 92-100.
    CrossRef    
12. Mampiti, M. and R. Hassan, 2006. Integrated ecological economics accounting approach to evaluation of inter-basin water transfers: An application to the lesotho highlands water project. Ecol. Econ., 60(1): 246-259.
    CrossRef    
13. MinHyeok, K. and N. Park, 2014. Improvement of complex and refractory ecological models: Riverine water quality modelling using evolutionary computation. Ecol. Modell., 29(10): 205-217.
    
14. Ning, Z. and Z. Li, 2013. Value-at-risk modelling for risk management of RMB exchange rate. Int. J. Appl. Math. Stat., 43(13): 297-304.
    Direct Link
15. Parikshit, V. and P. Steven, 2014. Root water compensation sustains transpiration rates in an Australian woodland. Adv. Water Res., 74: 91-101.
    CrossRef    
16. Qing, C. and Z. Li, 2013. Time series model for foreign direct investment spillover. Int. J. Appl. Math. Stat., 49: 535-543.
    Direct Link
17. Robert, H., 2014. Motivations for implementation of ecological compensation areas on Swiss lowland farms. J. Rural Stud., 34: 26-36.
    CrossRef    
18. Timothy, L.M. and T. William, 2005. Resource compensation and negotiation support in an aboriginal context: Using community-based multi-attribute analysis to evaluate non-market losses. Ecol. Econ., 55(2): 173-186.
    CrossRef    
19. Vijay, K. and J. Adamowski, 2014. Recasting payments for ecosystem services (PES) in water resource management: A novel institutional approach. Ecosyst. Serv., 10: 144-154.
    CrossRef    
20. Zhou, L., 2013. A dynamic model for evaluating the impact of FDI on macro economy based on panel data method. Int. J. Appl. Math. Stat., 49: 499-506.
    Direct Link
21. Zhou, L. and C. Qing, 2013. Efficiency of finance development on improving technological innovation: Interactions with carbon markets. J. Appl. Sci., 13: 5700-5707.
    CrossRef    
22. Zhang, G.Z. and H. Liu, 2010. River basin management based on the mechanisms of water rights trading. Proc. Environ. Sci., 2: 665-673.
    CrossRef    

Competing interests

The authors have no competing interests.

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