Dynamic computable general equilibrium model and sensitivity analysis for shadow price of water resource in China

Water Resources Management

Volumn 21, Issue 9, 2007, Pages 1517-1533

  He, Jing ^a   Chen, Xikang ^b   Shi, Yong ^a   Li, Aihua ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Computable general equilibrium; Dynamic; Input output analysis; Sensitivity analysis; Shadow price; Water resource

Indexed keywords

ALGORITHMS; COSTS; DYNAMIC MODELS; ECONOMIC ANALYSIS; SENSITIVITY ANALYSIS; WATER MANAGEMENT;

COMPUTABLE GENERAL EQUILIBRIUM; ECONOMIC EVALUATION; INPUT OUTPUT ANALYSIS; SHADOW PRICE;

WATER RESOURCES;

ALGORITHMS; COSTS; DYNAMIC MODELS; ECONOMIC ANALYSIS; SENSITIVITY ANALYSIS; WATER MANAGEMENT; WATER RESOURCES;

ALGORITHM; GENERAL EQUILIBRIUM ANALYSIS; INPUT-OUTPUT ANALYSIS; NUMERICAL MODEL; PRICE DETERMINATION; SENSITIVITY ANALYSIS; WATER ECONOMICS; WATER RESOURCE;

ASIA; CHINA; EURASIA; FAR EAST;

EID: 34548035828     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-006-9102-7     Document Type: Article

References (25)

1. Aiken DV (2006) Application of the distance function to nonmarket valuation of environmental goods and servises: An illustrative example. Ecol Econ (in press)
2. Bouhia H, (1998) Incorporating water into the input output table. Presented at the twelfth international input output conference, New York
3. Carter HO, Ireri D (1970) Linkage of California-Arizona input output models to analyze water transfer pattern. In: Carter PA, Brody A (eds) Applications of input output analysis. North Holland, Amsterdam 11(3):139-168
4. Chen X, Yang C, Xu J (2003) Water resource input holding output table of China and its application. Int J Dev Plan Lit 2(2):48-54
5. Chenery HB, Clark PG (1959) Interindustry economics. Wiley, New York
6. Dreze J, Stern N (1990) Shadow price and market. J Public Econ 42(1):1-45
7. Dorfman R, Samuelson PA, Solow RM (1958) Linear programming and economic analysis. McGraw-Hill, New York
8. Gauvin J (1980) Shadow price in nonconvex mathematical programming. Math Program 19(1):300-312
9. Hossand R, Wiik K (1974) A linear decision model for the management of water quality in the Ruhr. In: Rothenberg J, Heggie IG (eds) Management of water quality and the environment. MacMillan, New York, pp. 104-141
10. Horsley A, Wrobel AJ (2006) Profit-maximizing operation and valuation of hydroelectric plant: A new solution to the Koopmans problem. Journal of Economic Dynamics and Control (in press)
11. Kantorovich LV (1939) Mathematical methods in the organization and planning of production. Manage Sci 6(1):366-422
12. Leontief WW (1951) Studies in the structure of the American economy. Oxford University Press, New York, 1919-1939
13. Liu X (1995) Input occupancy output models for national economy and others. PhD thesis, Chinese Academy of Science
14. Liu X, Chen X (2003) Input output analysis applied in the calculation of Chinese shadow price of water resource. Manage Rev 15(3):49-54
15. Neumann JV (1945) A model of general economic equilibrium. Rev Econ Stud 13:1-9
16. Polenske KR, Chen X (1991) Chinese econnomic planning and input output analysis, Oxford University Press, Hongkong, pp. 44-56
17. Shah FA, Zilberman FD, Chakravorty U (1995) Technology adoption in the presence of an exhaustible resource: The case of groundwater extraction. Am J Agric Econ 77(1):291-299
18. Shen D, Liang R, Wang H, Yang X (1999) Theory and calculation on the price of water. Science, Beijing, pp. 33-35
19. Syme GJ, Nancarrow BE (1997) The determinants of perceptions of fairness in the allocation of water to multiple uses. Water Resour Res 33(9):2143-2152
20. Vanlint JH, Wilson RM (1975) A course in combinatorice. Cambridge University Press, UK.
21. Xie M, Nie G, Jin X (1991) Application of an input output model to Beijing urban waiste-use systems. In: Polenske KR, Xikang C (eds) Chinese economics planning and input output analysis. Oxford University Press, Hong Kong, pp. 239-257
22. Zhang Zh (1999) Calculation theory for the shadow water price as the output of the supplying water project. Technology and Economic of Water Power 5(3):8-12
23. Zhang J (2000) Nonlinear computable dynamic input output model. Qinghua University Press, Beijing, pp. 24-44
24. Zhao J (1995) Analysis of the shadow price. Economics and Education of the Leader 2(3):6-11
25. Zhong Q (1984) Input output analysis. Zhongguo Caijing, Beijing, pp. 64-70