اقتصاد کشاورزی و روستایی

اقتصاد کشاورزی و روستایی

بررسی نقش نگرش فرد در مصرف آتی ماهی قزل‌آلای سالم در شهر تهران: کاربرد روش جورسازی با رویکرد الگوریتم ژنتیک

نوع مقاله : مقاله پژوهشی

نویسنده
دانش‌آموخته دکتری، اقتصاد کشاورزی دانشگاه تهران، کرج، ایران.
چکیده
با توجه به اهمیت موضوع امنیت غذایی و سلامت جامعه، مصرف محصولات سالم و ارگانیک نیز بسیار درخور اهمیت است. در این راستا، شناخت و آگاهی از اهمیت و ویژگی‌های این محصولات می‌تواند به افزایش مصرف محصولات سالم کمک کند. با این رویکرد، در مطالعه حاضر، به بررسی اثر شناخت محصولات سالم و ارگانیک بر مصرف آتی ماهی قزل‌آلای سالم در کل نمونه و نیز به‏تفکیک سطوح مختلف درآمدی در شهر تهران پرداخته شد. بدین منظور، از روش جورسازی با رویکرد الگوریتم ژنتیک استفاده شد. گردآوری اطلاعات مورد نیاز برای مطالعة حاضر با استفاده از روش نمونه ­گیری تصادفی ساده و با تکمیل 398 پرسشنامه در سال 1402 از شهر تهران صورت گرفت. نتایج نشان داد که میزان تمایل به مصرف آتی ماهی قزل‌آلای سالم در کل نمونه مورد بررسی و در میان افراد دارای شناخت در سناریوهای بدون تغییر قیمت، افزایش سی درصدی قیمت و افزایش شصت درصدی قیمت قزل‌الای سالم نسبت به قزل‌آلای معمولی، به ‏ترتیب، 55/36، 86/31 و 96/28 درصد بیش از افراد بدون شناخت از محصولات سالم خواهد بود؛ افزون بر این، اگرچه در سطح اول درآمدی، شناخت با وجود ضریب مثبت، اثر معنی‌دار بر تمایل به پرداخت افراد ندارد، اما در سطوح بالاتر درآمدی، اثر این متغیر بر تمایل به پرداخت افراد مثبت و معنی‌دار است؛ و در نهایت، بر پایه نتایج مطالعه حاضر، تمایل به پرداخت افراد دارای شناخت از محصولات سالم و ارگانیک برای مصرف آتی ماهی قزل‌آلای سالم حدود ده درصد بیش از افراد بدون شناخت خواهد بود. این نتایج اهمیت توجه به فرهنگ‌سازی در زمینة مصرف محصولات سالم و ارگانیک را در جامعه بیش از پیش آشکار می‌سازد.
کلیدواژه‌ها

عنوان مقاله English

Studying the Role of Individual Attitude in Future Consumption of Healthy Salmon in Tehran: Application of Matching Pattern with Genetic Algorithm Approach

نویسنده English

majid mohammadi
PhD in Agricultural Economics, University of Tehran. Karaj. Iran
چکیده English

Introduction: The first step in paying attention and moving towards the development of organic production is to identify the behavior of consumers, because the main factor in the growth of any economic system is the management knowledge based on the knowledge about consumer behavior, the factors affecting it, and the ability to predict the future behavior. Healthy food plays a very important role in maintaining and improving the quality of the environment; that is why the necessary measures to encourage consumers to consume healthy foods have become more important. Many policies implemented globally to promote and improve healthy diets at the community level have been evaluated. Most of these food policies that aim to enhance consumption behavior use methods such as social media campaigns, educational approaches, food labeling and approaches that directly or indirectly target a person's attitude towards the consumption of organic and healthy products. How to examine consumer behavior has a significant impact on the attitude and analysis of industrial product designers' plans. The results of many studies indicate that consumers are not sufficiently aware of the importance and benefits of using organic products or the importance of the price of these products for consumers who have different views and perceptions regarding the characteristics of organic and healthy products, which affects their awareness and views. For this reason, this difference in views between the sample consumers should be compared and then, the effect of awareness and consumer's view of price orientation or health orientation on their willingness to consume in the future should be investigated. Another distinguishing feature of this study is the use of the matching model, which will be discussed in detail later.
Materials and Methods: In this study, in order to separate the effects of knowledge and attitude of a person towards organic products on the future consumption of these products, the genetic algorithm approach was used. The main variables of the concerned model would be the people's willingness to consume at different prices and their maximum willingness to pay for organic salmon. The main variables included the person's health awareness and attitude, and the auxiliary variables were the person's education and gender. In order to more accurately examine the effect of income on the consumption of the two groups of people under investigation, the studied sample was divided into three income levels of below 100 million IRI rials, 100 to 200 million IRI rials, and more than 200 million IRI rials, and the act of matching in each of these income levels were also done. The concerned data was collected by completing the questionnaire of fish consumers in Tehran city, which according to the information of Statistical Center of Iran (ISC), is the largest fish consumer in Iran, in 2023, and using Cochran's formula, the number of survey samples was calculated as 398 and the questionnaires were completed in the same amount. Finally, all calculations of this study were conducted using R4.0.2 software and the Matching package of this software.
Results and Discussion: The lower increase in fish consumption among Iranian households compared to the global average of fish consumption can have various reasons, such as the high price of this product and the fear of the health of farmed fish such as salmon. Therefore, paying attention to the production of healthy products can attract consumers to buy these products, such as healthy salmon. One of the important and fundamental factors in encouraging consumers to consume healthy salmon is increasing the level of information and knowledge of consumers and community members about the importance of consumption and the characteristics of healthy products. The main purpose of this study was to investigate the role of knowledge and awareness of the importance of consumption and characteristics of healthy fish in future consumption and the willingness of people to pay for this product considering the lack of a market for this product in Iran and Tehran as well. The results of the balance of covariates showed that after equalization, the difference in the average of the two treatment and control groups for the variables of gender, education and health orientation indexes was reduced; therefore, the results of the balance of covariates showed that the difference between the two groups was reduced to confirm the purpose of matching.
Conclusion and Suggestions: Based on the obtained results, the willingness to consume healthy salmon in the whole sample among people with knowledge in different price scenarios including ‘without price change’, ‘a 30 percent increase in price’ and ‘a 60 percent increase in the price’ of healthy salmon compared to normal salmon was 55.36, 31.86 and 28.96 percent, respectively, which would be more than people without knowledge of healthy products. This means that these people with knowledge are willing to allocate a larger share of their monthly fish consumption to healthy fish according to different price scenarios. Also, the willingness to pay among the people with knowledge of healthy and organic products in the whole sample would be about 10 percent more than those people without such a knowledge. In addition, the results showed that in the first income level, despite the positive coefficient, the knowledge had no significant effect on the people's willingness to pay, but at higher income levels, this variable had a significantly positive effect on the people's willingness to pay. Considering the important and fundamental matter of knowing and understanding the importance and characteristics of healthy and organic products such as healthy salmon on the willingness to consume healthy salmon in different price scenarios and the willingness to pay for it, the policy makers and executive and communication bodies such as the Ministry of Agriculture-Jahad (MAJ), Fisheries Organization, Organic Association of Iran and National Broadcasting Organization of Iran are recommended to try to create and spread the culture of using and consuming healthy and organic products such as healthy salmon with detailed and regular planning. Making cultural programs on TV, radio and other means of communication such as different social networks can be effective in developing the culture of using healthy salmon. Expanding the use of these products, along with increasing the food security of Iranian households and the health of society, can also lead to an increase in the income of producers.

کلیدواژه‌ها English

Attitude
Genetic Algorithm Matching
Healthy Salmon
Tehran (City)
  1. Bocher, T., Sindi, K., & Muzhingi, T. (2019). Investigating consumer preferences and willingness to pay for Orange-Fleshed Sweet Potato (OFSP) juice in Rwanda. Open Agriculture. 4, 227-236. DOI: 10.1515/opag-2019-0021.
  2. Callus, (2020). Generalized optimal matching methods for causal inference. Journal of Machine Learning Research, 21(62), 1-54.
  3. Cenzer, , Boscardin, W. J., & Berger, K. (2020). Performance of matching methods in studies of rare diseases: a simulation study. Intractable Rare Diseases Research, 9(2), 79-88. DOI: 10.5582/irdr.2020.01016.
  4. Courtemanche, C., Heutel, G., & McAlvanah, P. (2015). Impatience, incentives and obesity. The Economic Journal, 125(582), 1-31. DOI: 10.1111/ecoj.12124.
  5. Croker, H., Packer, J., Russell, S. J., Stansfield, C., & Viner, R. M. (2020). Front of pack nutritional labelling schemes: a systematic review and meta-analysis of recent evidence relating to objectively measured consumption and purchasing. Journal of Human Nutrition and Dietetics, 33(4), 518-537. DOI: 10.1111/jhn.12758.
  6. Diagourtas, G., Kounetas, K. E., & Simaki, V. (2023). Consumer attitudes and sociodemographic profiles in purchasing organic food products: evidence from a Greek and Swedish survey. British Food Journal, 125(7), 2407-2423. DOI: 10.1108/BFJ-03-2022-0196
  7. Donzé, , De Pérolles, B., & Lai, P. (2011). Propensity score matching and genetic matching: Monte Carlo results. Int. Statistical Inst.: Proc. 58th World Statistical Congress, 2011, Dublin.
  8. Dourandish, A., Hosseinzad, M., & Nematollahi, Z. (2015). Study of factors affecting aquatic consumption in Mashhad City: comparison of double hurdle and two-stage Heckman models. Agricultural Economics, 9(4), 197-219. [In Persian]
  9. FAO (2023). World fisheries consumption statistics Food and Agriculture Organization (FAO), Rome. Available at http://www.fao.org.
  10. Filsaraei, M. (2015). An introduction to statistical analysis method of assimilation based on propensity scores in financial, economics and accounting research. Economic Journal, 5-6, 5-22. [In Persian]
  11. Ghorbani, M., Alizadeh, P., & Tohidi, A. (2019a). The effect of awareness of organic products characteristics on household’s willingness to consume organic saffron in future in Mashhad County of Iran. Agricultural Economics and Development, 27(2), 31-53. DOI: 10.30490/aead.2019.95407. [In Persian]
  12. Ghorbani, M., Tohidi, A., & Alizadeh, P. (2019b). Rating and investigating factors affecting consumer preferences for organic products in Mashhad City. Journal of Agricultural Economics and Development, 33(3), 239-250. DOI: 10.22067/jead2.v33i3.73853. [In Persian]
  13. Han, S., & Lee, Y. (2022). Analysis of the impacts of social class and lifestyle on consumption of organic foods in South Korea. Heliyon, 8(10), e10998. DOI: 10.1016/j.heliyon.2022.e10998.
  14. Hosseini, S. H., Bakhshoodeh, M., & Erfanifar, S. (2019). The effect of organic rice consumption on households’ utility in Shiraz: tendency to pay surplus. Agricultural Economics, 13(3), 111-131. [In Persian]
  15. Huangfu, P., Pearson, F., Abu-Hijleh, F.M., Wahlich, C., Willis, K., Awad, S.F., Abu-Raddad, LJ., Critchley, J. A. (2024). Impact of price reductions, subsidies, or financial incentives on healthy food purchases and consumption: a systematic review and meta-analysis. Lancet Planet Health, 8(3), e197-e212. DOI: 10.1016/S2542-5196(24)00004-4. PMID: 38453385.
  16. IFO (2023). Iranian Fisheries Statistics. Iranian Fisheries Organization (IFO), Tehran. [In Persian]
  17. Kashif, U., Hong, C., Naseem, S., Alikhan, W., & Akram, M. (2020). Consumer preferences toward organic food and the moderating role of knowledge: a case of Pakistan and Malaysia. Ciência Rural, 50(5), e20190842, 2020. DOI: 1590/0103-8478cr20190842.
  18. Keshavarz, S., & Mousavi, S. N. (2018). Investigating obstacles, problems and factors affecting the development of organic agriculture, case study: Jalizkarans of Marvdasht city. Agricultural Economics Research, 10(3), 151-172. [In Persian]
  19. Kristallis, A., & Chryssohoidis, G. (2018), Consumers’ willingness to pay for organic food: factors that affect it and variation per organic product type. British Food Journal, 107(5), 320-343. DOI: 10.1108/00070700510596901.
  20. Li, X., Wang, S., Ruan, Y., Pan, Y., & Huang, Y. (2024). Taste or health: the impact of packaging cues on consumer decision-making in healthy foods. Appetite, 203, 107636. DOI: 10.1016/j.appet.2024.107636.
  21. NSOI (2023). National standard for organic food production requirements. National Standards Organization of Iran (NSOI), Tehran. [Iin Persian]
  22. Owusu, V., & Anifori, M. O. (2013). Consumer willingness to pay a premium for organic fruit and vegetable in Ghana. International Food and Agribusiness Management Review, 16(1), 67-86.
  23. Oyenubi, , & Wittenberg, M. (2020). Does the choice of balance-measure matter under genetic matching? Working Paper 819. DOI: 10.71587/4ph3q666.
  24. Rafaati, M., Shabanzadeh, M., & Javdan, M. (2021). Nutrient consumption, diversity and food security in income deciles of Tehran province. Agricultural Economics and Development, 35(2), 147-160. DOI: 10.22067/jead.2021.69156.1019. [In Persian]
  25. Rana, J., & Paul, J. (2017). Consumer behavior and purchase intention for organic food: a review and research agenda. Journal of Retailing and Consumer Services, 38, 157-165. DOI: 10.1016/j.jretconser.2017.06.004.
  26. Rizzo, G., Borrello, M., Guccione, G., Schifani, G., & Cembalo, L. (2020). Organic food consumption: the relevance of the health attribute. Sustainability, 12, 595 , 1-12. DOI: 10.3390/su12020595.
  27. Sekhon, S., & Grieve, R. (2008). A new non-parametric matching method for bias adjustment with applications to economic evaluations. In: iHEA 2007 6th World Congress: Explorations in Health Economics Paper. DOI: 10.2139/ssrn.1138926.
  28. Shabanzadeh-Khoshrody, M., Azadi, H., Khajooeipour, A., & Nabavi-Pelesaraei, A. (2016). Analytical investigation of the effects of dam construction on the productivity and efficiency of farmers. Journal of Cleaner Production, 135(24), 549-557. DOI: 1016/j.jclepro.2016.06.145.
  29. Shokoohi, Z., & Erfanifar, S. (2024). The effect of environmental attitude and lifestyle on the willingness to pay a premium for consumers of potatoes with the national organic label. Quarterly Journal of Environmental Sciences, (Under Publication). DOI: 10.48308/envs.2024.1401. [In Persian]
  30. Sumi, R., & Kabir, G. (2018). Factors affecting the buying intention of organic tea consumers of Bangladesh. Journal of Open Innovation: Technology, Market, and Complexity, 4(3), 1-15. DOI: 10.3390/JOITMC4030024.
  31. Uliano, A., Stanco, M., Marotta, G., & Nazzaro, C. (2024). Combining healthiness and sustainability: an analysis of consumers’ preferences and willingness to pay for functional and sustainable snack bars. Future Foods, 9, 100355. DOI: 10.1016/j.fufo.2024.100355.