Journal of Agricultural Extension & Community Development (농촌지도와개발)

Korean Society of Agricultural Extension (한국농촌지도학회)
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The application of Multiple Discrete Continuous Extreme Value Model on fresh meat purchase in Korea

다중 이산 연속선택모형(MDCEV)을 이용한 한국 소비자의 신선육 구매 결정 요인

  • Song, Cheol Ho (Department of Agricultural Economics and Rural Development, Seoul National University) ;
  • Eom, Jin Yong (Department of Agricultural Economics and Rural Development, Seoul National University) ;
  • Jang, Ik Hoon (Department of Agricultural Economics and Rural Development, Seoul National University) ;
  • Choe, Young Chan (Department of Agricultural Economics and Rural Development, Seoul National University)
  • 송철호 (서울대학교 농경제사회학부) ;
  • 엄진용 (서울대학교 농경제사회학부) ;
  • 장익훈 (서울대학교 농경제사회학부) ;
  • 최영찬 (서울대학교 농경제사회학부)
  • Received : 2017.10.06
  • Accepted : 2017.12.14
  • Published : 2017.12.30
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Abstract

Modeling the consumer demand of fresh meat requires its distinct feature which other types of food product does not have. Most of the fresh meat products are likely to be unbranded, bought on a weight basis and affected by macro shocks such as seasonality, holiday effect and the disease incidence. Furthermore, consumers tend to purchase multiple categories of fresh meat in a week. Therefore, we apply a multiple discrete/continuous model on fresh meat consumption data to study the effect of macro shocks on fresh meat sales as well as of price change. As a result shows, Each fresh meat is relatively more likely to be bought in peak season of each fresh meat compared with imported pork which is set as a 'reference category' in this analysis. For clarity of the effect of disease incidence, we perform further analysis regarding the effect of livestock disease on fresh meat purchase probability. It shows that the avian flu in 2014 has strong negative impact on the purchase probability of chicken and the foot-and-mouth disease has negative impact on the purchase probability of pork and beef for part of outbreak periods.

Keywords

References

  1. 김원년, & 이종하. (2007). 중도절단회귀모형을 이용한 한국의 육류수요분석 : 준 이상 수요체계적 접근. Journal of the Korean Data Analysis Society, 9(6), 2889-2901.
  2. 남국현, & 최영찬. (2016a). 돼지고기 부위별 수요함수 추정. 농촌지도와 개발, 23(1), 27-37.
  3. 남국현, & 최영찬. (2016b). 한우와 수입산 쇠고기의 부위별 수요함수 추정. 농촌지도와 개발, 23(4), 387-403.
  4. 남국현, & 최영찬. (2017). VAR을 이용한 도매가격, 반입량, 수입량 및 수요량의 동태적 상관분석. 농촌지도와 개발, 24(1), 9-19.
  5. 농림축산식품부. (2016). 농림축산식품 주요통계. 세종, 농림축산식품부.
  6. 이수행, 이은환, 홍성민, & 김욱. (2017). AI (조류인플루엔자), 구제역 확산의 쟁점과 대응과제. 이슈 & 진단(272), 1-26.
  7. 조만석, 허성윤, & 이용길. (2016). 혼합 MDCEV 모형을 이용한 발전사업자의최적 재생에너지 포트폴리오 구성에 관한 연구. 에너지경제연구, 15(2), 55-88.
  8. 조신섭, 손영숙, & 성병찬. (2016). 시계열분석(SAS/ETS를 이용한)(4판). 서울: 율곡출판사.
  9. 지인배, 황윤재, 이형우, & 한봉희. (2015). 한우와 돼지고기 수요변화 요인 분석. 서울: 한국농촌경제연구원.
  10. 권복기. (2014). 조류독감 따른 살처분 닭오리 1000만 넘어. 허핑턴포스트코리아. Retrieved December 18, 2017, from http://www.huffingtonpost.kr/2014/03/16/story_n_4973599.html
  11. 이은파. (2011). 천안서 33일만에 고병원성 AI 발생. 연합뉴스. Retrieved December 18, 2017, from http://www.yonhapnews.co.kr/bulletin/2011/03/05/0200000000AKR20110305039600063.HTML
  12. Allenby, G. M., Arora, N., & Ginter, J. L. (1998). On the heterogeneity of demand. Journal of Marketing Research, 35, 384-389. https://doi.org/10.2307/3152035
  13. Anders, S., & Mőser, A. (2010). Consumer choice and health: The importance of health attributes for retail meat demand in Canada. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 58(2), 249-271. https://doi.org/10.1111/j.1744-7976.2010.01183.x
  14. Bhat, C. R. (2005). A multiple discrete–continuous extreme value model: Formulation and application to discretionary time-use decisions. Transportation Research Part B: Methodological, 39(8), 679-707. https://doi.org/10.1016/j.trb.2004.08.003
  15. Bhat, C. R. (2008). The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions. Transportation Research Part B: Methodological, 42(3), 274-303. https://doi.org/10.1016/j.trb.2007.06.002
  16. Bhat, C. R., Castro, M.,& Pinjari, A. R. (2013). Allowing for non-additively separable and flexible utility forms in multiple discrete-continuous models. Technical paper, Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin.
  17. Boetel, B. L., & Liu, D. J. (2003). Evaluating the effect of generic advertising and food health information within a meat demand system. Agribusiness, 19(3), 345-354. https://doi.org/10.1002/agr.10064
  18. Carrigan, M., & Attalla, A. (2001). The myth of the ethical consumer–do ethics matter in purchase behaviour?. Journal of Consumer Marketing, 18(7), 560-578. https://doi.org/10.1108/07363760110410263
  19. Chiang, J. (1991). A simultaneous approach to the whether, what and how much to buy questions. Marketing Science, 10(4), 297-315. https://doi.org/10.1287/mksc.10.4.297
  20. Chintagunta, P. K. (1993). Investigating purchase incidence, brand choice and purchase quantity decisions of households. Marketing Science, 12(2), 184-208. https://doi.org/10.1287/mksc.12.2.184
  21. da Fonseca, M. D. C. P., & Salay, E. (2008). Beef, chicken and pork consumption and consumer safety and nutritional concerns in the City of Campinas, Brazil. Food Control, 19(11), 1051-1058. https://doi.org/10.1016/j.foodcont.2007.11.003
  22. Dixit, A. K., & Stiglitz, J. E. (1977). Monopolistic Competition and Optimum Product Diversity. The American Economic Review, 67(3), 297-308.
  23. Dube, J.-P. (2004). Multiple discreteness and product differentiation: Demand for carbonated soft drinks. Marketing Science, 23(1), 66-81. https://doi.org/10.1287/mksc.1030.0041
  24. Eales, J. S., & Unnevehr, L. J. (1988). Demand for beef and chicken products: Separability and structural change. American Journal of Agricultural Economics, 70(3), 521-532. https://doi.org/10.2307/1241490
  25. Fousekis, P., & Revell, B. J. (2000). Meat demand in the UK: A differential approach. Journal of Agricultural and Applied Economics, 32(1), 11-19. https://doi.org/10.1017/S1074070800027784
  26. Fraser, I., & Moosa, I. A. (2002). Demand estimation in the presence of stochastic trend and seasonality: The case of meat demand in the United Kingdom. American Journal of Agricultural Economics, 84(1), 83-89. https://doi.org/10.1111/1467-8276.00244
  27. Fulponi, L. (1989). The almost ideal demand system: An application to food and meat groups for France. Journal of Agricultural Economics, 40(1), 82-92. https://doi.org/10.1111/j.1477-9552.1989.tb01085.x
  28. Gao, X. M., & Spreen, T. (1994). A microeconometric analysis of the US meat demand. Canadian Journal of Agricultural Economics, 42(3), 397-412. https://doi.org/10.1111/j.1744-7976.1994.tb00033.x
  29. Golan, A., Perloff, J. M., & Shen, E. Z. (2001). Estimating a demand system with nonnegativity constraints: Mexican meat demand. The Review of Economics and Statistics, 83(3), 541-550. https://doi.org/10.1162/00346530152480180
  30. Gupta, S. (1988). Impact of sales promotions on when, what, and how much to buy. Journal of Marketing Research, 25, 342-355. https://doi.org/10.2307/3172945
  31. Han, S. P., Park, S.,& Oh, W. (2015). Mobile app analytics: A multiple discrete-continuous choice framework. MIS Quarterly, 40(4), 983-1008.
  32. Hanemann, W. M. (1984). Discrete/continuous models of consumer demand. Econometrica: Journal of the Econometric Society, 52(3), 541-561. https://doi.org/10.2307/1913464
  33. Hendel, I. (1999). Estimating multiple-discrete choice models: An application to computerization returns. The Review of Economic Studies, 66(2), 423-446. https://doi.org/10.1111/1467-937X.00093
  34. Henneberry, S. R., & Hwang, S. H. (2007). Meat demand in South Korea: An application of the restricted sourcedifferentiated almost ideal demand system model. Journal of Agricultural and Applied Economics, 39(1), 47-60.
  35. Kaabia, M. B., Angulo, A. M., & Gil, J. M. (2001). Health information and the demand for meat in Spain. European Review of Agricultural Economics, 28(4), 499-517. https://doi.org/10.1093/erae/28.4.499
  36. Karagiannis, G., Katranidis, S., & Velentzas, K. (2000). An error correction almost ideal demand system for meat in Greece. Agricultural Economics, 22(1), 29-35. https://doi.org/10.1111/j.1574-0862.2000.tb00003.x
  37. Kim, J., Allenby, G. M., & Rossi, P. E. (2002). Modeling consumer demand for variety. Marketing Science, 21(3), 229-250. https://doi.org/10.1287/mksc.21.3.229.143
  38. Lusk, J. L., & Tonsor, G. T. (2016). How meat demand elasticities vary with price, income, and product category. Applied Economic Perspectives and Policy, 38(4), 673-711. https://doi.org/10.1093/aepp/ppv050
  39. Magdelaine, P., Spiess, M. P., & Valceschini, E. (2008). Poultry meat consumption trends in Europe. World's Poultry Science Journal, 64(1), 53-64. https://doi.org/10.1017/S0043933907001717
  40. McCarthy, M., O'Reilly, S., Cotter, L., & de Boer, M. (2004). Factors influencing consumption of pork and poultry in the Irish market. Appetite, 43(1), 19-28. https://doi.org/10.1016/j.appet.2004.01.006
  41. Moschini, G., & Meilke, K. D. (1989). Modeling the pattern of structural change in US meat demand. American Journal of Agricultural Economics, 71(2), 253-261. https://doi.org/10.2307/1241582
  42. Mutondo, J. E., & Henneberry, S. R. (2007). A source-differentiated analysis of US meat demand. Journal of Agricultural and Resource Economics, 32(3), 515-533.
  43. Nganje, E. W., Kaitibie, S., & Taban, T. (2005). Multinomial logit models comparing consumers' and producers' risk perception of specialty meat. Agribusiness, 21(3), 375-390. https://doi.org/10.1002/agr.20053
  44. Niessen, J., & Hamm, U. 2008. Identifying the gap between stated and actual buying behaviour on organic products based on consumer panel data. In 16th IFOAM World Congress, 16-20 June, International Federation of Organic Agricultural Movements, Modena, Italy.
  45. Padel, S., & Foster, C. (2005). Exploring the gap between attitudes and behaviour: Understanding why consumers buy or do not buy organic food. British Food Journal, 107(8), 606-625. https://doi.org/10.1108/00070700510611002
  46. Peterson, H. H., & Chen, Y. J. K. (2005). The impact of BSE on Japanese retail meat demand. Agribusiness, 21(3), 313-327. https://doi.org/10.1002/agr.20050
  47. Quagrainie, K. K., Unterschultz, J., & Veeman, M. (1998). Effects of product origin and selected demographics on consumer choice of red meats. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 46(2), 201-219. https://doi.org/10.1111/j.1744-7976.1998.tb00363.x
  48. Richards, T., Yonezawa, K.,& Winter, S. (2014). Cross-category effects and private labels. European Review of Agricultural Economics, 42(2), 187-216. https://doi.org/10.1093/erae/jbu016
  49. Richards, T. J., Gómez, M. I.,& Pofahl, G. (2012). A multiple-discrete/continuous model of price promotion. Journal of Retailing 88(2), 206-225. https://doi.org/10.1016/j.jretai.2012.01.002
  50. Rimal, A., Fletcher, S. M., & McWatters, K. H. (1999, 5). Actual purchase vs. intended purchase: Do consumers buy what they say. In meeting of the American Agricultural Economics Association, Nashville, TN.
  51. Tonsor, G. T., Mintert, J. R., & Schroeder, T. C. (2010). US meat demand: Household dynamics and media information impacts. Journal of Agricultural and Resource Economics, 35(1), 1-17.
  52. Verbeke, W., & Ward, R. W. (2001). A fresh meat almost ideal demand system incorporating negative TV press and advertising impact. Agricultural Economics, 25(2-3), 359-374. https://doi.org/10.1111/j.1574-0862.2001.tb00215.x
  53. Vermeir, I., & Verbeke, W. (2006). Sustainable food consumption: Exploring the consumer “attitude–behavioral intention” gap. Journal of Agricultural and Environmental Ethics, 19(2), 169-194. https://doi.org/10.1007/s10806-005-5485-3
  54. Xu, X., & Veeman, M. (1996). Model choice and structural specification for Canadian meat consumption. European Review of Agricultural Economics, 23(3), 301-315. https://doi.org/10.1093/erae/23.3.301
  55. Yang, S. R., & Koo, W. W. (1994). Japanese meat import demand estimation with the source differentiated AIDS model. Journal of Agricultural and Resource Economics, 19(2), 396-408.