Contingent valuation and willingness to pay for credence attributes in beef meat

被引:3
|
作者
Jaramillo Villanueva, Jose Luis [1 ]
Vargas Lopez, Samuel [1 ]
Rojas Juarez, Lissete Abigail [1 ]
机构
[1] Colegio Posgrad, Campus Puebla,Blvd Forjadores 205, Puebla 72760, Mexico
关键词
Food safety; Organic meat; Willingness to pay; Contingent valuation; Consumer preferences; PERCEPTIONS;
D O I
10.22319/rmcp.v9i1.4376
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
The demand for beef has declined in recent years, so it is important to know the structure of consumers' preferences. The present research used the contingent valuation method (CVM) to determine consumers' preferences for the attributes of food safety, organic, price, fat content, freshness and color, to discover their potential niche market. Based on survey data from a random sample of 225 households in eight cities of the State of Puebla, correlation analysis and an econometric Probit model were performed to identify the explanatory variables of the Willingness to Pay (WTP) a price premium for the attributes safety and organic. The per capita consumption of beef meat was 19.4 kg/yr. The 80 % of consumers believe that meat they buy may be in some degree contaminated with substances or microorganisms that can cause damage to their health. The 76 and 66 % of consumers have a WTP a premium for the attributes safety and organic, respectively. The average WTP for these attributes is 13 and 12.1 %, respectively. The explanatory factors of the WTP are age, schooling, income, risk perception, and the attributes fat content, freshness and tenderness. The first four variables correlate with marginal effects greater than 20 %. The 14.4 % and 19.1 % of the population manifested a WTP greater than 21 % of the price they currently pay for meat if it has the attributes organic and safety, respectively.
引用
下载
收藏
页码:14 / 31
页数:18
相关论文
共 50 条
  • [21] Addressing negative willingness to pay in dichotomous choice contingent valuation
    Bohara, AK
    Kerkvliet, J
    Berrens, RP
    ENVIRONMENTAL & RESOURCE ECONOMICS, 2001, 20 (03): : 173 - 195
  • [22] Willingness to Pay for Diagnostic Technologies: A Review of the Contingent Valuation Literature
    Lin, Pei-Jung
    Cangelosi, Michael J.
    Lee, David W.
    Neumann, Peter J.
    VALUE IN HEALTH, 2013, 16 (05) : 797 - 805
  • [23] Willingness to pay and the sensitivity of willingness to pay for interdisciplinary musculoskeletal clinics: a contingent valuation study in Quebec, Canada
    Poder, Thomas G.
    He, Jie
    INTERNATIONAL JOURNAL OF HEALTH ECONOMICS AND MANAGEMENT, 2016, 16 (04) : 337 - 361
  • [24] Willingness to pay and the sensitivity of willingness to pay for interdisciplinary musculoskeletal clinics: a contingent valuation study in Quebec, Canada
    Thomas G. Poder
    Jie He
    International Journal of Health Economics and Management, 2016, 16 : 337 - 361
  • [25] Perceived Consumer Effectiveness and Willingness to Pay for Credence Product Attributes of Sustainable Foods
    Kovacs, Ildiko
    Keresztes, Eva Reka
    SUSTAINABILITY, 2022, 14 (07)
  • [26] Paired comparison estimates of willingness to accept versus contingent valuation estimates of willingness to pay
    Loomis, J
    Peterson, G
    Champ, P
    Brown, T
    Lucero, B
    JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION, 1998, 35 (04) : 501 - 515
  • [27] Willingness to pay for mass screening for prostate cancer: A contingent valuation survey
    Yasunaga, Hideo
    INTERNATIONAL JOURNAL OF UROLOGY, 2008, 15 (01) : 102 - 105
  • [28] Willingness to pay for a clear night sky: use of the contingent valuation method
    Simpson, Stephanie N.
    Hanna, Brid Gleeson
    APPLIED ECONOMICS LETTERS, 2010, 17 (11) : 1095 - 1103
  • [29] The contingent valuation study of the wind farm Burfellslundur - Willingness to pay for preservation
    Einarsdottir, Sigriour Ros
    Cook, David
    Daviosdottir, Brynhildur
    JOURNAL OF CLEANER PRODUCTION, 2019, 209 : 795 - 802
  • [30] Willingness to pay for renewable electricity: A contingent valuation study in Beijing, China
    Guo, Xiurui
    Liu, Haifeng
    Mao, Xianqiang
    Jin, Jianjun
    Chen, Dongsheng
    Cheng, Shuiyuan
    ENERGY POLICY, 2014, 68 : 340 - 347