The goal of this study is to promote the spread of environmentally friendly agricultural products, which have been receiving a lot of attention lately, as a way to improve food safety and quality. As a result of the increased labor input, increased production costs, and an aging population, environm...
The goal of this study is to promote the spread of environmentally friendly agricultural products, which have been receiving a lot of attention lately, as a way to improve food safety and quality. As a result of the increased labor input, increased production costs, and an aging population, environmentally friendly agriculture is making it more difficult for farmers to expand their enterprises. In the meantime, consumers find it difficult to spread eco-friendly agricultural products due to their high expectations for safety and quality, as well as the desire to purchase products at a reasonable price. Previous studies have revealed differences in perceptions between eco-friendly agricultural producers and consumers. In light of this, this study divided consumers based on their characteristics (such as age, purchase history, health concerns, etc.), and different policies were proposed in order to increase purchasing factors for each group based on their characteristics. In order to gather information for this study, general citizens were asked about their perceptions of eco-friendly agricultural products, future purchase intentions and awareness, reliability, necessity, purpose, and information sources. A two-step clustering analysis was conducted using nominal and continuous variables simultaneously. The paper presents the three derived group differences (senior organic interest group, middle-aged organic interest group, and indifferent young organics) as well as group differences for the purchasing/non-purchasing factor analysis and policy improvement for each group. An eco-friendly agricultural product distribution proposal was made at the end of this article.
The goal of this study is to promote the spread of environmentally friendly agricultural products, which have been receiving a lot of attention lately, as a way to improve food safety and quality. As a result of the increased labor input, increased production costs, and an aging population, environmentally friendly agriculture is making it more difficult for farmers to expand their enterprises. In the meantime, consumers find it difficult to spread eco-friendly agricultural products due to their high expectations for safety and quality, as well as the desire to purchase products at a reasonable price. Previous studies have revealed differences in perceptions between eco-friendly agricultural producers and consumers. In light of this, this study divided consumers based on their characteristics (such as age, purchase history, health concerns, etc.), and different policies were proposed in order to increase purchasing factors for each group based on their characteristics. In order to gather information for this study, general citizens were asked about their perceptions of eco-friendly agricultural products, future purchase intentions and awareness, reliability, necessity, purpose, and information sources. A two-step clustering analysis was conducted using nominal and continuous variables simultaneously. The paper presents the three derived group differences (senior organic interest group, middle-aged organic interest group, and indifferent young organics) as well as group differences for the purchasing/non-purchasing factor analysis and policy improvement for each group. An eco-friendly agricultural product distribution proposal was made at the end of this article.
Azam, M. S., Shaheen, M., & Narbariya, S. (2019). Marketing challenges and organic farming in India-Does farm size matter?. International Journal of Nonprofit and Voluntary Sector Marketing, 24(4), e1654.?
Boone, L., Roldan-Ruiz, I., Muylle, H., & Dewulf, J. (2019), Environmental sustainability of conventional and organic farming: Accounting for ecosystem services in life cycle assessment. Science of the total environment, 695, 133841.?
Chiu, T., Fang, D., Chen, J., Wang, Y., & Jeris, C. (2001, August). A robust and scalable clustering algorithm for mixed type attributes in large database environment. In Proceedings of the seventh ACM SIGKDD international conference on knowledge discovery and data mining (pp. 263-268).?
Doanh, N.K., Thuong, N.T. T., Heo, Y. (2018), Impact of conversion to organic tea cultivation on household income in the mountainous areas of Northern Vietnam, Sustainability, 10(12): 4475.?
Han, J., & Cho, H.J. (2018). A study on cluster analysis of mixed data with continuous and categorical variables. Journal of the Korean Data Analysis Society, 20(20), 1769-1780.?
Kang, H. J., & Lee, B. H. (2020). Analysis of Determinants of Delivery and Take-out Food Consumption of Single-person Household. Agric. Manag. Policy Res, 47, 471-494.?
Kim, C.G, Jeong, H.K, Kim, Y.G, (2016). Effects of Organic Farming on Greenhouse Gas Emission Reduction, Journal of Climate Change Research, 7(3): 335-339.?
Kim, J.H & Lee, J,Y. (2021). COVID-19 and Changes in Consumers' Willingness to Pay for Organic Food , Journal of Rural Development, 44(4), 53-76.?
Kim,J.M., & Hong, S. H. (2018). Investigation of Food Safety Attitude, Knowledge, and Behavior in College Students in Gyeonggi Region. Journal of Food Hygiene and Safety, 33(6), 438-446.?
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