oral presentation ii

30
LOGO Presenter: Jenny Chen 陳陳陳 Instructor: Dr. Pi-Ying Teresa Hsu November 12, 2009 1

Upload: jenny-chen

Post on 26-May-2015

298 views

Category:

Technology


0 download

TRANSCRIPT

Page 1: Oral Presentation Ii

LOGO

Presenter: Jenny Chen 陳瑩珍

Instructor: Dr. Pi-Ying Teresa Hsu

November 12, 2009 1

Page 2: Oral Presentation Ii

LOGO

Saz-Salazar, S. D., & Rausell-Koster, P. (2008). A

double-hurdle model of urban green areas valuation:

Dealing with zero responses. Landscape and Urban

Planning, 84(3-4), 241-251.

2

Page 3: Oral Presentation Ii

LOGO

Contents

I. Introduction

II. Methodology

III. Results

IV. Conclusion

V. Personal Reflection

3

Page 4: Oral Presentation Ii

LOGO

Introduction

In Spain, 77% of the population lives in urban areas.

4

Page 5: Oral Presentation Ii

LOGO

Introduction

Public parks and open spaces:

1. improve physical and psychological health

2. provide substantial environmental benefits

3. have an important aesthetic value in an environment

designed around the automobile

4. are important for wildlife

5. are valuable contributors to wider urban objectives

5

Page 6: Oral Presentation Ii

LOGO

Introduction

hedonic pricing method travel cost method averting behaviour

contingent valuation method (CVM)

Revealed Preferences Techniques

Stated Preferences Techniques

6

Page 7: Oral Presentation Ii

LOGO

Purpose

to estimate the social benefits arising from the use of an urban park in the city of Valencia (Spain)

7

Page 8: Oral Presentation Ii

LOGO

Study Site

8

Page 9: Oral Presentation Ii

LOGO

Study Site

El Jardín del Túria

9

Page 10: Oral Presentation Ii

LOGO

Methodology

Time spring 2005

Participants 1455

Sampling stratified

Payment Vehicle annual increase in local taxes

Elicitation Approach open-ended

Survey face-to face interview

10

Page 11: Oral Presentation Ii

LOGO

Methodology

11

Page 12: Oral Presentation Ii

LOGO

Methodology

First Section attitudinal questions behavior

Third Section demographic and economic

questions

Second Section

valuation question “Now I want to ask you how much you would be willing to pay each year in extra property taxes considering the whole array of benefits that you receive every time you visit the park.”

12

Page 13: Oral Presentation Ii

LOGO

Methodology

indirect utility function

V = U [x(p, y, z), z] = V (p, y, z) (1)

x : vector of private goods

p : prices

y : income

z : provision or quality of environmental commodities

13

Page 14: Oral Presentation Ii

LOGO

Methodology

change in utility

Δ V = V (p, y, z1) – V (p, y, z0) (2)

V (p, y – CV, z1) = V (p, y, z0) (3)

p : prices

y : income

z : provision or quality of environmental commodities

CV: WTP for an improvement14

Page 15: Oral Presentation Ii

LOGO

Methodology

Zero WTP

preference unfamiliarity

15

Page 16: Oral Presentation Ii

LOGO

Methodology

Ordinary Least-Square Regressions

biased and inconsistent estimates

of the parameters

16

Page 17: Oral Presentation Ii

LOGO

Methodology

only allows for one type of zero observations

(corner solution)

treats the decision to participate in the market and the stated degree of support together

Tobit Model

17

Page 18: Oral Presentation Ii

LOGO

Methodology

two stages of estimation

considers the possibility of zero outcomes in

the second hurdle

distinguishes between factors affecting the

decision to participate and the stated amount

of WTP

Double-Hurdle Model

18

Page 19: Oral Presentation Ii

LOGO

Methodology

Participation decision

yi = yi * , if yi * > 0 and Di > 0

yi = 0 , otherwise

Di = Zi θ + ui (4)

Di : latent variable

Zi : a vector of explanatory variables

θ : a vector of parameters

Double-Hurdle Model

19

Page 20: Oral Presentation Ii

LOGO

Methodology

WTP decision

yi = yi * , if yi * > 0

yi = 0 , otherwise

yi * = Xi β + ei (5)

yi : revealed WTP for individual i

yi * : corresponding latent value of individual i’s actual WTP

Xi : vector of the individual’s characteristics

β : vector of parameters20

Page 21: Oral Presentation Ii

LOGO

Methodology

Probit Model

to evaluate the

censoring rule (Zi θ)

Truncated Regression Model

to obtain the bid function

(Xi β) for the subsample

of censored observations

21

Page 22: Oral Presentation Ii

LOGO

Results

22

Page 23: Oral Presentation Ii

LOGO

Results

Average expenditure:

total cost

number of households

= 4.62 €

× relative surface (26.76%)

< 7.60 €

23

Page 24: Oral Presentation Ii

LOGO

Results

24

Page 25: Oral Presentation Ii

LOGO

Results

H0: Tobit model is the correct specification

H1: Tobit model is not the appropriate specification

λ = - 2(LT- LP – LTR) (6)

LT : log-likelihood for the Tobit model

LP : log-likelihood for the Probit model

LTR : log-likelihood for the truncated model

α = 0.01Reject H0

25

Page 26: Oral Presentation Ii

LOGO

Results

26

Page 27: Oral Presentation Ii

LOGO

Results

Aggregation

27

Page 28: Oral Presentation Ii

LOGO

Conclusion

WTP increases with income and education as

expected.

WTP varies depending on which section of the park

the interview was conducted in.

Distinct sets of variables influence the decision to

participate and the decision about how much the

individual is willing to pay.

Demand for various green areas is culturally

dependent.

28

Page 29: Oral Presentation Ii

LOGO

Personal Reflection

Sampling procedures were careful.

WTP question was not detailed and clear

enough.

The WTP question should be revised to induce

both use and preservation values.

Strategic bias was very likely to occur in this

study because of the payment vehicle.

29

Page 30: Oral Presentation Ii

LOGO

30