PUKYONG

Estimating the Economic Values of Sea Whales Based on Coastal and Marine Tourism in Mirissa of Sri Lanka using Individual Travel Cost Method

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Alternative Title
개별여행비용법을 이용한 스리랑카 미리사해역의 고래관광에 대한 경제적 가치 추정
Abstract
This study focuses on using the Individual Travel Cost Method (ITCM) as a non-market valuation technique to estimate the economic value of sea whale-watching based on coastal and marine tourism in Mirissa, the Southern Province of Sri Lanka where no previous studies of this kind have been conducted before. In this study, the visit demand function of the site is estimated after collecting the related questionnaires and then the consumer’s surplus is calculated. Two scenarios are taken into account; in the 1st scenario, the time value which is being spent by an individual to reach the site considered in the evaluation of time opportunity cost, but in the 2nd scenario, it has been not been considered. The count data models including zero truncated Poisson regression (ZTPR) model and zero truncated negative binomial regression (ZTNBR) model are applied to estimate the consumer surplus (CS) with a sample size of 241. Mirissa beach is used as a case study based on the fact that a reasonable number of visitors visit the beach, and also because Mirissa is a popular hotspot known around the world. Given the nature of the study, an onsite survey is inevitable. The questionnaire used for the onsite survey is designed to capture socioeconomic variables about visitors (such as Age, Income, Edu, Employment Status, Gender and Nationality), travel cost component variables (such as TTC, RTT_time, D_mirissa, No_visits) and the willingness to pay (WTP) of visitors (in the form of conservation value). The count data (with a sample size of 241) that was generated from the survey is modelled with the ZTPR and ZTNBR models. The econometric estimations show that consumer surplus (CS) estimates per trip per visitor per year in ZTNBR, which avoids the over-dispersion problem with ZTPR and based on these econometric results, CS estimates per trip per visitor per year were computed for different categories of visitors. For foreign sample, ZTNBR generates $3634 and for locals $24, and for the aggregation of the national level the annual total economic value of foreign visitors for whale-watching is estimated to be $556,884,376 and for locals $310177. Foreigners’ are willing to pay (WTP) a maximum of $70 and locals are $11.11 per visit to the improvement and development of Mirissa and as a conservation value.
Author(s)
MEREGNGNAGE ISURU UMANDA DE SILVA
Issued Date
2019
Awarded Date
2019. 8
Type
Dissertation
Publisher
부경대학교
URI
https://repository.pknu.ac.kr:8443/handle/2021.oak/23467
http://pknu.dcollection.net/common/orgView/200000224256
Affiliation
Pukyong National University , Graduate School
Department
대학원 해양수산경영학과
Advisor
HeeDong Pyo
Table Of Contents
I. INTRODUCTION 1
1. Background of Study 1
2. Tourism and Whale Watching Industry in Sri Lanka 4
3. Objectives of Study 8
4. Background of Study Area 9
5. Significance of Study 10

Ⅱ. LITERATURE REVIEW 12
1. Environmental Valuation 12
2. Non-Market Valuation 12
3. Travel Cost Method (TCM) 15
4. The Concept of Consumer Surplus (CS) 22
5. Empirical Literature Review 24

Ⅲ. ONSITE SURVEY AND DATA DESCRIPTIONS 27
1. Survey Design 27
2. Survey Implementation and Sampling 30
3. Computation of the Total Travel Cost (TTC) 31
4. Travel Cost Model Specification and Descriptive Statistics 37

Ⅳ. ECONOMICS MODELS FOR COUNT DATA 43
1. Poisson Regression Model 45
2. Negative Binomial Model 46
3. Truncation and Endogenous Stratification 48

Ⅴ. DATA ANALYSIS, ECONOMETRIC RESULTS AND DISCUSSION 50
1. Data Analysis 50
2. ECONOMETRIC RESULTS 60
3. Model selection 71
4. Computation of Consumer Surplus (CS) Estimates 73
5. Calculation of Willing to Pay Amount (WTP) 76
6. The Relationship between Income, CS Estimates and WTP Estimates 79

Ⅵ. CONCLUSION AND POLICY IMPLICATION 82
1. Conclusion 82
2. Policy Implications 84

References 86
Appendices 91
Degree
Master
Appears in Collections:
대학원 > 해양수산경영학과
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