Monetary valuation of non-market goods and services: a review of conceptual approaches and empirical applications in sports

被引:34
|
作者
Orlowski, Johannes [1 ]
Wicker, Pamela [2 ]
机构
[1] Univ Zurich, Dept Business Adm, Zurich, Switzerland
[2] German Sport Univ Cologne, Dept Sport Econ & Sport Management, Sportpk Muengersdorf 6, D-50933 Cologne, Germany
关键词
Revealed preferences; stated references; volunteer; well-being; willingness-to-pay; WILLINGNESS-TO-PAY; RESIDENTIAL PROPERTY-VALUES; TRAVEL COST-ANALYSIS; HEDONIC PRICE MODEL; CONTINGENT VALUATION; ECONOMIC VALUE; RECREATIONAL VALUE; MOUNTAIN BIKING; PROFESSIONAL SPORTS; COMPENSATING DIFFERENTIALS;
D O I
10.1080/16184742.2018.1535609
中图分类号
F [经济];
学科分类号
02 ;
摘要
Research question: Monetary valuation of non-market goods has become increasingly important to inform sport managers and policy makers. This article set out to conduct a literature review, describe empirical applications within sports, and present a typology and conceptual discussion of valuation approaches. Research methods: A literature review, synthesis, and critical assessment of existing monetary valuation research in sports were performed. Results and findings: The review identified 113 articles which employed eight different valuation approaches. The contingent valuation method (CVM), hedonic pricing (HP), and the travel cost method (TCM) were the most frequently applied approaches. The most popular research contexts were professional team sports, sport tourism, and sport events. Valuation research was mainly conducted in the United States, Germany, and the UK. Altogether, 179 different scholars have contributed to this body of research, with 15 scholars having published at least three papers on this topic. The valuation approaches were assigned to three main categories: revealed preference approaches, including HP, opportunity cost approach (OCA), replacement cost approach (RCA), compensating variation approach (CVA), and TCM; stated preference approaches, including CVM, contingent behavior method (CBM), and choice modeling (CM); and hybrid approaches combining revealed and stated preference approaches.
引用
收藏
页码:456 / 480
页数:25
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