تحلیل مؤلفه‌های مؤثر بر ترجیحات پرداختی مصرف‌کنندگان برای محصولات کشاورزی ارگانیک: کاربرد مدل‌سازی معادلات ساختاری

نوع مقاله : مقالات پژوهشی

نویسندگان

• حنانه آقاصفری ¹
• علیرضا کرباسی ¹
• حسین محمدی ¹
• رابرتو کلیستی ²

¹ دانشگاه فردوسی مشهد

² دانشگاه پروجیا ایتالیا

https://doi.org/10.22067/jead2.v33i4.76582

چکیده

افزایش آگاهی عمومی نسبت به اثرات سوء استفاده از نهاده­های شیمیایی موجب شده است که مصرف­کنندگان گرایش فزاینده به محصولات کشاورزی ارگانیک پیدا کنند. بالا بودن قیمت تمام شده این محصولات، اهمیت بررسی ترجیحات پرداختی مصرف­کنندگان را به منظور توسعه کشت آن روشن می­سازد. از این رو، این مطالعه تلاش می­کند تا مؤلفه­های مؤثر بر ترجیحات پرداختی مصرف­کنندگان را برای محصولات ارگانیک با بهره­گیری از مدل­سازی معادلات ساختاری شناسایی و مورد بررسی قرار دهد. داده­های مطالعه با جمع­آوری 142 پرسشنامه از بازدیدکنندگان نمایشگاه محصولات ارگانیک مشهد با استفاده از روش نمونه­گیری تصادفی ساده در اسفند ماه سال 1396 به دست آمده­اند. نتایج مطالعه بیانگر آن است که آگاهی و دانش مصرف­کنندگان، مشخصات فردی و نگرش مثبت نسبت به ویژگی­های محصولات ارگانیک به ترتیب به میزان 27/0، 59/0 و 21/0 بر ترجیحات پرداختی مصرف­کنندگان در جهت مثبت اثرگذار است. همچنین عوامل بازاریابی به طور غیر مستقیم از طریق اثرگذاری به میزان 68/0 بر نگرش نسبت به ویژگی­های محصولات ارگانیک، بر ترجیحات پرداختی مصرف­کنندگان مؤثر است. بر اساس نتایج بدست آمده، توصیه شده است که سیاست­گذاران نسبت به اطلاع­رسانی و آگاهی بخشی منافع محصولات ارگانیک اقدام جدی­تری داشته باشند.

کلیدواژه‌ها

• ترجیحات پرداختی
• محصولات کشاورزی ارگانیک
• مدل سازی معادلات ساختاری

20.1001.1.20084722.1398.33.4.2.4

عنوان مقاله [English]

Analysis of Factors Affecting Consumer Payment Preferences for Organic Agricultural Products: Application of Structural Equation Modeling

نویسندگان [English]

• H. Aghasafari ¹
• A.R. Karbasi ¹
• H. Mohammadi ¹
• R. Calisti ²

¹ Ferdowsi University of Mashhad

² Italy

چکیده [English]

Introduction: The environmental impacts of pesticides, genetically modified organisms and other chemicals used to increase agricultural production have raised consumers' concerns about the quality and safety of agricultural products. And now, with the increase of environmental awareness, it has criticized modern agricultural activities. These factors have encouraged consumers to consume organic agricultural products. Way of producing the organic products can increase the production costs and, finally, increase the total price of these products. So, consumers should pay more for these products than the inorganic ones. In spite of higher prices of these products, consumers are increasingly tending to consume organic products. So that, consumers tend to pay more for better and more organic and safe agricultural products. Several factors influence the consumer payment preferences for organic products. In this study, these factors are classified into four groups and their impacts on consumer preferences are examined.
Materials and Methods: This study has used the Structural Equation Modeling (SEM). Structural Equation Modeling (SEM) is a powerful collection of multivariate analysis techniques, which specifies the relationships between variables through the use of two main sets of models: Measurement model and Structural model. Measurement model tests the accuracy of proposed measurements by assessing relationships between latent variables and their respective indicators. The structural model drives the assessment of the hypothesized relationships between the latent variables, which allow testing the statistical hypotheses for the study. Additionally, SEM considers the modeling of interactions, nonlinearities, correlated independents, measurement error, correlated error terms, and multiple latent independents that each one is measured by multiple indicators. Unlike conventional analysis, SEM allows the inclusion of latent variables into the analysis and it is not limited to relationships among observed variables and constructs. It allows the study to measure any combination of relationships by examining a series of dependent relationships simultaneously while considering potential errors of measurement among all variables. SEM has several advantages over conventional analysis, including greater flexibility regarding assumptions (particularly allowing interpretation even in the face of multicollinearity). SEM allows the use of confirmatory factor analysis to reduce measurement error by testing multiple indicators per latent variable while offering superior model visualization through its graphical modeling interface. Structural Equation Modeling include six steps (data collection, model specification, identification, estimation, evaluation and modification). In the present study, the variables including marketing factors, awareness and knowledge, demographic characteristics and attitudes towards organic products are considered as latent variables that the relationship of these variables with the payment preferences is investigated. In order to collect required data, a researcher-made questionnaire and simple random sampling method has been used.
Results and Discussion: Results indicate that given the significance of factor loadings, the indicators (observed variables) such as packaging, brand, advertising, discounts and shopping incentives, familiarity with different types of products, way to get information, familiarity with organic agricultural product stores have the required accuracy to measure latent variables. Regarding the model fitting indexes and being model values in the acceptable range, we can say that the measurement and structural models fit well with the data. The results of structural model and hypothesis testing show that awareness and knowledge, demographic characteristics, attitude towards organic products have a significant effect (0.27, 0.59 and 0.21, respectively) on consumer payments preferences. In other words, increasing the awareness of consumer about organic products, increasing household size and income, the positive attitude of consumers towards the characteristics of organic products would increase consumer payments preferences. Also, marketing factors have a significant effect (0.68) on the attitude toward organic products. So that, marketing factors including packaging, brand, advertising and discounts and shopping incentives have a positive effect on the attitude toward organic products. Therefore, hypotheses 2 through 5 are supported.
Conclusion: The Findings indicate that increasing the awareness of consumer about organic agricultural products, increasing household size and income, the positive attitude of consumers towards the characteristics of organic agricultural products will increase consumer payments preferences. Therefore, it is suggested that the relevant authorities take serious action to inform about the properties and nutritional value of organic agricultural products, the differences in the labels of food products, and the existing stores supplying of organic products. Also, it is recommended that the numbers of organic supply stores are boosted, especially in areas where high-income people live.

کلیدواژه‌ها [English]

• Organic agricultural products
• Payment preferences
• Structural equation modeling

مراجع

1- Abdolahi S. 2008. Prospects for the development of organic farming in Iran. Planning and Research Institute of Agricultural Economics, Tehran. (In Persian)

2- Aghapour Sabbaghi M., and Mohammadi A. 2013. Estimation of the willingness to pay (WTP) for organic vegetables in Ahwaz city. Advances in Environmental Biology 7(1): 32-39.

3- Akinyode B.F. 2016. The use of structural equation modeling (SEM) in built environment disciplines. Research on Humanities and Social Sciences 6(6): 109-120.

4- Amiyan S., Kavoosi Kalashami M., Amiri Z., and Gheibi S. 2017. Assessment of factors influencing consumers’ willingness to pay for organic chicken in Urmia. Journal of Agricultural Economics Research 9(35): 75-96. (In Persian)

5- Arbuckle J.L. 2013. Amos 22 User Guide: Amos Development Corporation. IBM Corp.

6- Aryal K.P., Chaudhary P., Pandit S., and Sharma G. 2009. Consumers’ willingness to pay for organic products: A case from Kathmandu valley. The Journal of Agriculture and Environment 10: 12-22.

7- Asioli D., Canavari M., and Pignatti E. 2011. Role of sensory attributes in the food marketing: An exploratory analysis in the Italian organic food producers. Proceedings in Food System Dynamics: 33-51.

8- Ayhan R. 2014. Consumer willingness to pay for organic chicken and milk in Kusadasi, Turkey. Master's Thesis, METU Graduate School of Social Sciences, Turkey.

9- Bauer H., Heinrich D., and Schäfer D. 2013. The effects of organic labels on global, local, and private brands. More hype than substance? Journal of Business Research 66: 1035–1043.

10- Bean M., and Sharp J. 2011. Profiling alternative food system supporters: The personal and social basis of local and organic food support. Renewable Agriculture and Food Systems 26: 243–254.

11- Bentler P.M., and Chou C.P. 1987. Practical issues in structural modeling. Sociological Methods & Research 16(1): 78-117.

12- Bhatta G., Doppler W., and Bahadur K. 2010. Urban demand for organic tomatoes in the Kathmandu Valley, Nepal. Middle-East Journal of Scientific Research 5: 199–209.

13- Bhavsar H., Tegegne F., Baryeh K., and Illukpitiya P. 2018. Attitudes and willingness to pay more for organic foods by Tennessee consumers. Journal of Agricultural Science 10(6): 33-39.

14- Bollen K.A. 1989. Structural Equations with latent Variables. Willey, New York.

15- Bonti-Ankomah S., and Yiridoe E.K. 2006. Organic and conventional food: A literature review of the economics of consumers’ perceptions and preference. Final Report of Organic Agriculture Centre of Canada. Nova Scotia Agricultural College, Canada.

16- Borimnejad V. 2014. A Study of factors affecting on the marketing of healthy and organic products. Agricultural Economics, Special Issue: 217-232. (In Persian)

17- Byrne B.M. 2010. Structural Equation Modeling with AMOS. Routledge, New York.

18- Chen J., and Lobo A. 2012. Organic food products in China: determinants of consumers’ purchase intention. The International Review of Retail, Distribution and Consumer Research 22(3): 293-314.

19- Chen M. 2009. Attitude toward organic foods among Taiwanese as related to health consciousness, environmental attitudes, and the mediating effects of a healthy lifestyle. British Food Journal 111(2): 165-178.

20- Chryssohoidis G.M., and Krystallis A. 2005. Organic consumers’ personal values research: testing and validating the list of values (LOV) scale and implementing a value-based segmentation task. Food Quality and Preference 16: 585–599.

21- De Magistris T., and Gracia A. 2008. The decision to buy organic food products in Southern Italy. British Food Journal 110(9): 929-947.

22- Gerbing D.W., and Anderson J.C. 1992. Monte Carlo evaluations of goodness of fit indices for structural equation models. Sociological Methods and Research 21(2): 132-160.

23- Ghorbani M., and Hamraz S. 2009. A survey on factors affecting on consumer’s potential willingness to pay for organic products in Iran (A case study). Trends in Agriculture Economics 2: 10–16.

24- Hatcher L. 2005. A Step-By-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling. SAS Institute Inc, North Carolina.

25- Hughner R., McDonagh P., Prothero A., Shultz C., and Stanton J. 2007. Who are organic food consumers? A compilation and review of why people purchase organic food. Journal of Consumer Behavior 6: 94–110.

26- Iran Organic Association. 2018. Khorasan Razavi Branch. About organic. Available at http://www.organickhorasan.com (visited 12 April 2018).

27- Jöreskog K.G., and Sörbom D. 1996. LISREL 8 User's Reference Guide. Scientific Software International, Chicago.

28- Kaplan D. 2000. Structural Equation Modeling: Foundations and Extensions. SAGE Publications, California.

29- Khodaverdizadeh M. 2017. Factors affecting consumers’ willingness to pay for organic cucumber in Urmia. Journal of Agricultural Economics Research 9(35): 97-122. (In Persian)

30- Kline R.B. 2011. Principles and Practice of Structural Equation Modeling. Guilford Press, New York.

31- Kline R.B. 2013. Assessing statistical aspects of test fairness with structural equation modelling. Educational Research and Evaluation 19(2-3): 204-222.

32- Lee H.J., and Yun Z.S. 2015. Consumers’ perceptions of organic food attributes and cognitive and affective attitudes as determinants of their purchase intentions toward organic food. Food Quality and Preference 39: 259-267.

33- Liu R., Pieniak Z., and Verbeke W. 2013. Consumers’ attitudes and behavior towards safe food in China: A Review Food Control 33: 93–104.

34- Lund T., Andersen L., and Jensen K. 2013. The emergence of diverse organic consumers: Does a mature market undermine the search for alternative products? Sociologia Ruralis 53: 454–478.

35- Martinez M.L., Anders S., and Wismer W.V. 2011. Consumer preferences and willingness to pay for value-added chicken product attributes. Journal of Food Science 76(8): 69-77.

36- Mondelaers K., Aertsens J., and Huylenbroeck G.V. 2009. A meta-analysis of the differences in environmental impacts between organic and conventional farming. British Food Journal 111: 1098–1119.

37- Obayelu O.A., Agboyinu O.M., and Awotide B.A. 2014. Consumers’ perception and willingness to pay for organic leafy vegetables in urban Oyo state, Nigeria. European Journal of Nutrition & Food Safety 4(2): 128-136.

38- Oughton E., and Ritson C. 2007. Food consumers and organic agriculture. p. 74-94. In J. Cooper, U. Niggli, and C. Leifert (eds.) Handbook of Organic Food Safety and Quality. Part 6. Woodhead Publishing.

39- Owusu V., and Anifori M.O. 2013. Consumer willingness to pay a premium for organic fruit and vegetable in Ghana. International Food and Agribusiness Management 16(1): 67-86.

40- Petljak K., Stulec L., and Renko S. 2017. Consumers’ willingness to pay more for organic food in Croatia. Preliminary Communication 30(2): 441-455.

41- Pinna M., Del Chiappa G., and Velcovska S. 2014. The food quality labels: Awareness and willingness to pay in the context of Italy. In J.C. Andreani and U. Collesei (eds.) Proceedings from the XII International Conference Marketing Trends, Paris-Venice: Paris - Marketing Trends Association.

42- Schöberl S. 2012. Consumer behavior in organic foods: analysis of the relationship between attitudes, moral norms, behavioral intentions and actual buying behavior. Ph.D Thesis, Technical University of Munich, Germany.

43- Schumacker R.E., and Lomax R.G. 2010. A beginner’s guide to structural equation modeling. Routledge, New York.

44- Shaharudin M.R., Pani J.J., Mansor S.W., and Elias S.J. 2010. Factors affecting purchase intention of organic food in Malaysia’s Kedah state. Cross-cultural communication 6(2): 105-116.

45- Steiger J.H. 1998. A note on multiple sample extensions of the RMSEA fit index. Structural Equation Modeling: A Multidisciplinary Journal 5(4): 411-419.

46- Timothy Teo T., Tsai L.T., and Yang C.C. 2013. Applying structural equation modeling (SEM) in educational research and practice. p. 3-21. In M.S. Khine (ed.) Contemporary Approaches to Research in Learning Innovations. Sense Publishers, Rotterdam.

47- Teng C.C., and Wang Y.M. 2015. Decisional factors driving organic food consumption: Generation of consumer purchase intentions. British Food Journal 117(3): 1066-1081.

48- The Law of the 6th Five-Year Economic, Social and Cultural Development plan of the Islamic Republic of Iran. 2017. Office of the program, budget and statistics, Agricultural Research, Education and Extension Organization.

49- The World of Organic Agriculture, Statistics and Emerging Trends. 2018. Research institute of organic agricultural FiBL, Switzerland.

50- Weston R., and Gore Jr P.A. 2006. A brief guide to structural equation modeling. The Counseling Psychologist 34(5): 719-751.

51- Wong J., Raghunathan U., Escalante C., and Wolfe K. 2010. Consumer premiums for environmentally friendly grass-fed and organic milk in the Southeast. Journal of Agribusiness 28: 75–88.