IDEAS home Printed from https://ideas.repec.org/p/sek/iacpro/2704676.html
   My bibliography  Save this paper

Consumer?s Willingness to Pay for Gasohol E100 in Chiang Mai Province and Nakhon Ratchasima Province

Author

Listed:
  • Pacharaporn Arkornsakul

    (Faculty of management sciences,Chiang Mai Rajabhat University)

  • Woraphon Yamaka

    (Faculty of Economics Chiang Mai University)

  • Sombat Singkharat

    (Faculty of management sciences,Chiang Mai Rajabhat University)

Abstract

The purposes of this research was conducted to study the behavior of consumers who use gasohol and their willingness to pay for it and also to determine factors that influence consumer to pay for gasohol E100 in Chiang Mai and Nakhon Ratchasima Province. Contingent Valuation Method (CVM) was adopted as a hypothetical situation in the form of questionnaires which consists of double bounded dichotomous choice. Maximum Likelihood Estimation (MLE) was the method of analysis used and willingness to pay for gasohol by using Generalized Ordered Logit Model. Stata is needed for collecting data. The result of research found out that due to 800 samples from two sample group (Chiang Mai 400 samples and Nakhon Ratchasima 400 samples) to compare the willingness to pay for gasohol E100. It is discovered that most consumers was unwillingness to pay for the second gasohol quotation which was lower 32.50 Bath per liter due to most consumer were unconvinced the quality of gasohol E100. The measurement of willingness to pay for gasohol E100 average was 30.64 baths per liter in Chiang Mai group and 27.12 baths per liter in Nakhon Ratchasima group. In addition, attitude toward the environment is one of all factor are determining the willingness of consumers to pay for gasohol E100. Gasohol E100 is unknown among the majority of car users. Thailand Government should carry out promote and inform people about the benefits and drawbacks of gasohol E100 and should research on it. It should be supported as a short term and long term study. As a consequence, consumers will understand and be confident in using gasohol E100. This will change willingness of consumers to pay for gasohol E100

Suggested Citation

  • Pacharaporn Arkornsakul & Woraphon Yamaka & Sombat Singkharat, 2015. "Consumer?s Willingness to Pay for Gasohol E100 in Chiang Mai Province and Nakhon Ratchasima Province," Proceedings of International Academic Conferences 2704676, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:iacpro:2704676
    as

    Download full text from publisher

    File URL: https://iises.net/proceedings/18th-international-academic-conference-london/table-of-content/detail?cid=27&iid=015&rid=4676
    File Function: First version, 2015
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zorić, Jelena & Hrovatin, Nevenka, 2012. "Household willingness to pay for green electricity in Slovenia," Energy Policy, Elsevier, vol. 47(C), pages 180-187.
    2. Zhang, Lei & Wu, Yang, 2012. "Market segmentation and willingness to pay for green electricity among urban residents in China: The case of Jiangsu Province," Energy Policy, Elsevier, vol. 51(C), pages 514-523.
    3. Zhou, Adrian & Thomson, Elspeth, 2009. "The development of biofuels in Asia," Applied Energy, Elsevier, vol. 86(Supplemen), pages 11-20, November.
    4. Bigerna, Simona & Polinori, Paolo, 2014. "Italian households׳ willingness to pay for green electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 110-121.
    5. Nguyen, Thu Lan T. & Gheewala, Shabbir H., 2008. "Fuel ethanol from cane molasses in Thailand: Environmental and cost performance," Energy Policy, Elsevier, vol. 36(5), pages 1589-1599, May.
    6. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LP, vol. 6(1), pages 58-82, March.
    7. Bell, David R. & Silalertruksa, Thapat & Gheewala, Shabbir H. & Kamens, Richard, 2011. "The net cost of biofuels in Thailand--An economic analysis," Energy Policy, Elsevier, vol. 39(2), pages 834-843, February.
    8. Tanaka, Makoto & Ida, Takanori & Murakami, Kayo & Friedman, Lee, 2014. "Consumers’ willingness to pay for alternative fuel vehicles: A comparative discrete choice analysis between the US and Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 194-209.
    9. Vincent Kang Fu, 1999. "Estimating generalized ordered logit models," Stata Technical Bulletin, StataCorp LP, vol. 8(44).
    10. Nobuyuki Ito & Kenji Takeuchi & Shunsuke Managi, 2012. "Willingness to pay for the infrastructure investments for alternative fuel vehicles," Discussion Papers 1207, Graduate School of Economics, Kobe University.
    11. Abdullah, Sabah & Jeanty, P. Wilner, 2011. "Willingness to pay for renewable energy: Evidence from a contingent valuation survey in Kenya," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2974-2983, August.
    12. Solomon, Barry D. & Johnson, Nicholas H., 2009. "Valuing climate protection through willingness to pay for biomass ethanol," Ecological Economics, Elsevier, vol. 68(7), pages 2137-2144, May.
    13. Guo, Xiurui & Liu, Haifeng & Mao, Xianqiang & Jin, Jianjun & Chen, Dongsheng & Cheng, Shuiyuan, 2014. "Willingness to pay for renewable electricity: A contingent valuation study in Beijing, China," Energy Policy, Elsevier, vol. 68(C), pages 340-347.
    14. Zarnikau, Jay, 2003. "Consumer demand for `green power' and energy efficiency," Energy Policy, Elsevier, vol. 31(15), pages 1661-1672, December.
    15. William H. Greene & Mark N. Harris & Bruce Hollingworth & Pushkar Maitra, 2008. "A Bivariate Latent Class Correlated Generalized Ordered Probit Model with an Application to Modeling Observed Obesity Levels," Working Papers 08-18, New York University, Leonard N. Stern School of Business, Department of Economics.
    16. Yoo, Seung-Hoon & Kwak, So-Yoon, 2009. "Willingness to pay for green electricity in Korea: A contingent valuation study," Energy Policy, Elsevier, vol. 37(12), pages 5408-5416, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oerlemans, Leon A.G. & Chan, Kai-Ying & Volschenk, Jako, 2016. "Willingness to pay for green electricity: A review of the contingent valuation literature and its sources of error," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 875-885.
    2. Soon, Jan-Jan & Ahmad, Siti-Aznor, 2015. "Willingly or grudgingly? A meta-analysis on the willingness-to-pay for renewable energy use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 877-887.
    3. Huh, Sung-Yoon & Lee, Jongsu & Shin, Jungwoo, 2015. "The economic value of South Korea׳s renewable energy policies (RPS, RFS, and RHO): A contingent valuation study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 64-72.
    4. Xie, Bai-Chen & Zhao, Wei, 2018. "Willingness to pay for green electricity in Tianjin, China: Based on the contingent valuation method," Energy Policy, Elsevier, vol. 114(C), pages 98-107.
    5. Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Ajayi, O.D. & Yusuff, A.A. & Mosetlhe, T.C., 2021. "Willingness to pay for green electricity derived from renewable energy sources in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    6. Herbes, Carsten & Friege, Christian & Baldo, Davide & Mueller, Kai-Markus, 2015. "Willingness to pay lip service? Applying a neuroscience-based method to WTP for green electricity," Energy Policy, Elsevier, vol. 87(C), pages 562-572.
    7. Bae, Jeong Hwan & Rishi, Meenakshi & Li, Dmitriy, 2021. "Consumer preferences for a green certificate program in South Korea," Energy, Elsevier, vol. 230(C).
    8. Fang, Xingming & Wang, Lu & Sun, Chuanwang & Zheng, Xuemei & Wei, Jing, 2021. "Gap between words and actions: Empirical study on consistency of residents supporting renewable energy development in China," Energy Policy, Elsevier, vol. 148(PA).
    9. Lim, Kyoung-Min & Lim, Seul-Ye & Yoo, Seung-Hoon, 2014. "Estimating the economic value of residential electricity use in the Republic of Korea using contingent valuation," Energy, Elsevier, vol. 64(C), pages 601-606.
    10. Balezentis, Tomas & Streimikiene, Dalia & Mikalauskas, Ignas & Shen, Zhiyang, 2021. "Towards carbon free economy and electricity: The puzzle of energy costs, sustainability and security based on willingness to pay," Energy, Elsevier, vol. 214(C).
    11. Dagher, Leila & Harajli, Hassan, 2015. "Willingness to pay for green power in an unreliable electricity sector: Part 1. The case of the Lebanese residential sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1634-1642.
    12. Chan, Kai-Ying & Oerlemans, Leon A.G. & Volschenk, Jako, 2015. "On the construct validity of measures of willingness to pay for green electricity: Evidence from a South African case," Applied Energy, Elsevier, vol. 160(C), pages 321-328.
    13. Anna Kowalska-Pyzalska, 2019. "Do Consumers Want to Pay for Green Electricity? A Case Study from Poland," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    14. Stamatios Ntanos & Grigorios Kyriakopoulos & Miltiadis Chalikias & Garyfallos Arabatzis & Michalis Skordoulis, 2018. "Public Perceptions and Willingness to Pay for Renewable Energy: A Case Study from Greece," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    15. Yu, Ying & Yamaguchi, Kensuke & Thuy, Truong Dang & Kittner, Noah, 2022. "Will the public in emerging economies support renewable energy? Evidence from Ho Chi Minh City, Vietnam," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    16. Kyu-Won Hwang & Jaekyun Ahn & Chul-Yong Lee, 2023. "Analysis of Consumer Willingness to Pay for Community Solar Business Using Contingent Valuation Method," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    17. Anna Kowalska-Pyzalska & David Ramsey, 2018. "Household willingness to pay for green electricity in Poland," HSC Research Reports HSC/18/04, Hugo Steinhaus Center, Wroclaw University of Technology.
    18. Cheng, Y.S. & Cao, K.H. & Woo, C.K. & Yatchew, A., 2017. "Residential willingness to pay for deep decarbonization of electricity supply: Contingent valuation evidence from Hong Kong," Energy Policy, Elsevier, vol. 109(C), pages 218-227.
    19. Alló, Maria & Loureiro, Maria L., 2014. "The role of social norms on preferences towards climate change policies: A meta-analysis," Energy Policy, Elsevier, vol. 73(C), pages 563-574.
    20. Lee, Chul-Yong & Lee, Min-Kyu & Yoo, Seung-Hoon, 2017. "Willingness to pay for replacing traditional energies with renewable energy in South Korea," Energy, Elsevier, vol. 128(C), pages 284-290.

    More about this item

    Keywords

    Willingness to pay; Gasohol E100; Energy;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D10 - Microeconomics - - Household Behavior - - - General
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sek:iacpro:2704676. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klara Cermakova (email available below). General contact details of provider: https://iises.net/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.