mprovement the quality of Cultural heritage in Iran, extracts tourism, employment and foreign reserves. In recent years, many studies survey valuation of Cultural heritage in developed countries. Carson 1997 revealed that houses which are older than 60 years, have extensive benefits for country. Narvud and Ready 2002, Noonan 2002, 2003, Perce et al 2002, apply some studies about using of CV and Choice Modeling for estimate of social benefits of Cultural heritage. Diamond and Hausman 1994, Kahneman and Knetsch 1992 use WTA and WTP for valuing of different things. Their researches show that CV is an indirect method for valuing which is based on individual's preferences. (Mazan, 2003) In this paper, I use from CV method for valuing of Kakh sadabad which has more than 100 years old and have many visitors whom come from around of the world.
In other side, some environmental pollution and some wars are caused to demolition of Kakh sadabad which should repair. Then in this paper I calculate willingness to pay of Kakh sadabad visitors for repair of demolitions.
The remainder of this paper is structured as follows. Section 2 describes the model; section 3 describes design of CV questionnaire. Empirical results are presented in Section 4, and concluding remarks in Section 5.
Boxell et al, (1996) use utility framework for analyzing of CV method :
Author : Phd student-Address: Kargar-e-Shomali Avenue, Faculty of Economics, University of Tehran, Tehran, Iran. E-mail : [email protected] (1) is deterministic component of utility and is a stochastic component. In CV method, the probabilities of an individual choosing alternative i or j are:
(2) Suppose that random term is logistically distributed, the probability that an individual choose alternative is:
(3) This information can be estimated using the binary logit model. (Hanemann, 1984) III. Design of CV Questionnaire I use from a questionnaire for estimate willingness to pay of Kakh sadabad visitors, which means how much money they want to pay for repair of this building.
I use from 200 questionnaire which distributed between Kakh sadabad visitors. I use questions as: 1. How much do you want to pay for repair of Kakh sadabad? 2. How much do you want to pay for visit from this building? 3. How much do you want to pay for improvement of this building service? I use from this questionnaire for calculate visitor's WTP and extract some variables from questionnaire which I use from them in my regression. These variables reveal in table 1. Results reveal that Uge, income, Satisfied, Log bid and know have positive effect on willingness to pay of visitors. Therefore visitor with more income and higher education level and more information about Kakh sadabad wants to pay more money for repair of Kakh sadabad.
I i i i V U ? + = ( D D D D ) D Year i V ) Pr( Pr ) Pr( Pr j i i j j i j j i i V V V V ? ? ? = ? ? ? = ? ? ? ? ) exp( 1 ) exp( Pr j i j i i V V V V ? + ? =I use from questioner to calculate willingness to pay of visitors which average willingness to pay of visitors in this sample is 2/5 dollar.
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I use from CV and binary Logit model for survey the effects of some variables on willingness to pay of Kakh sadabad. For this aim, I use from a questioner and reveal that income, education; Satisfied, Log bid and knowing of visitors have positive effect on willingness to pay of visitors.
At least I calculate willingness to pay of visitors of Kakh sadabad which is 2/5 dollar.
| Dependent variable | pay | If visitors pay money for Kakh sadabad, is 1 and otherwise is 0 |
| Independent variable | sex | Man=0 and woman=1 |
| Independent variable | age | Age of visitor |
| Independent variable | income | Monthly income of visitor |
| Independent variable | education | Primary=1, secondary=2, high school=3 |
| Independent variable | Uge | University education of visitor=1 |
| Independent variable | know | Previous knowledge about Kakh sadabad=1 and no knowledge=0 |
| Independent variable | satisfied | If visitor is satisfied from visiting of Kakh sadabad=1 and otherwise=0 |
| Independent variable | ftrip | If visitor is passenger=1 and otherwise=0 |
| Independent variable | Log bid | Logarithm of money which visitor wants to pay |
| IV. | Emperical Results |
| Variable | Coefficient | P-Value |
| constant | -0.71 | 0/014 |
| sex | 0/001 | 0/000 |
| age | -0/0037 | 0/017 |
| Log bid | 1/69 | 0/003 |
| income | 0/0019 | 0/009 |
| Ugo | 0/048 | 0/0022 |
| know | 1/12 | 0/000 |
| Satisfied | 2/18 | 0/000 |
| ftrip | 2/51 | 0/006 |
| R 2 =61% |
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