DOI QR코드

DOI QR Code

Analysis of the Effect of Farmers' Use of Information Devices on the Sales of Agricultural Products

농가의 정보화 기기 활용이 농산물 판매에 미치는 효과 분석

  • 황성혁 (농협경제연구소) ;
  • 김종인 (인천대학교 동북아국제통상학부)
  • Received : 2023.08.14
  • Accepted : 2023.09.20
  • Published : 2023.09.28

Abstract

The use of digital information technology has become important in order to effectively respond to changes in production conditions in Korean agriculture, which are continuously worsening due to a decrease in the rural population, deepening aging, and climate change. Accordingly, this study analyzed the factors affecting farmers' adoption of information devices use and the effect of information devices use on agricultural product sales using the propensity score matching method. As a result of the analysis, it was found that low-age farmers, high-education farmers, and leading farmers are highly likely to adopt use of information devices. For farms with similar characteristics such as age, management size, and farming type, it has been confirmed that farms that have adopted information devices use in agricultural management have higher sales of agricultural products. Therefore, increasing farmers' access to information and the ability to use information devices provides implications that farm income can be improved. The government's informatization support project in the agricultural and rural sectors is important so that farmers can have the ability to distribute informatization devices and utilize agricultural information, and active investment should also be made in information infrastructure.

농촌인구 감소, 고령화 심화, 기후변화 등으로 지속적으로 악화되고 있는 한국농업의 생산여건 변화에 효과적으로 대응하기 위해 디지털 정보기술 활용이 중요해졌다. 이에 본 연구는 성향점수매칭법을 이용하여 농가의 정보화 기기 활용 선택에 미치는 요인과 정보화 기기 활용이 농산물 판매에 미치는 효과를 분석하였다. 분석 결과, 연령이 낮은 농가, 교육수준이 높은 농가, 선도농가들이 정보화 기기 활용 채택 가능성이 높은 것으로 나타났다. 연령, 경영규모, 영농형태 등 유사한 특성을 가진 농가라면 농업경영에 정보화 기기를 활용하는 농가가 더 높은 농산물 판매 수입을 올리는 것이 확인되었다. 따라서 농가의 정보화 기기의 활용능력을 높이는 것은 농가소득을 향상시킬 수 있다는 시사점을 제공한다. 정보화 기기 보급 및 농업정보를 활용할 수 있는 능력을 농가들이 가질 수 있도록 정부의 농업·농촌 분야 정보화 지원 사업이 중요하다 할 수 있으며, 정보 기술에 근거한 과학적 영농 및 마케팅 활동이 이루어질 수 있는 정보 인프라 구축에도 적극적인 투자가 이루어져야 할 것이다.

Keywords

References

  1. J.H. Kang. (1995). A Study on the Establishment of Regional Information System for the Promotion of Agricultural Informatization. Korea Rural Economic Review, 18(2), 109-124.
  2. D.P. Lee, J.H. Lee, J.S. Kim, & K.S. Han. (2001). The Study on the Situation and Strategies for Solving Digital Divide in Rural Area. Seoul: Korea Rural Economic Institute.
  3. S.J. Joo. (2001). The Use of Networked Computer and Changes of Life in the Rural Area : The Case of an Information Model Village. Journal of Korea Planning Association, 36(6), 137-151.
  4. J.W. Kim & J.I. Kim. (2004). A Study On the Revitalization of Information Model Village in Gang-Won Do. Korean Public Management Review, 18(2), 201-232.
  5. H.J. Yoo & E.H. Chae. (2009). The Effect of Rural Informatization Village Project on the Quality of Life of Local Residents. Korea Rural Economic Review, 32(3), 85-106.
  6. Y. Park & J.W. Seo. (2014). Relationship Between Social Capital and Operational Performance of INVIL. Journal of Korean Association for Regional Information Society, 17(3), 35-60.
  7. S.W. Lee, H.B. IM, & J.K. Cho. (2004). Determinants and Regional Disparities of Computer Applications in Farming Households. The Korean Journal of Agricultural Economics, 45(1), 47-81.
  8. C.J. Yoo. (2022). Analysis of Factors Influencing the Activation of Agricultural Information Use of Farmers. Journal of Industrial Economics and Business, 35(3), 571-589. https://doi.org/10.22558/jieb.2022.6.35.3.571
  9. S. Yu, J.K. Cho, & S.W. Lee. (2006). The Impact of Computer Applications on Improvement of Farm Household Income. Journal of Korean Society of Rural Planning, 12(3), 81-95.
  10. S.Y. Nam, J.K. Cho, S.W. Lee. (2007). The Effects of Eco-friendly Farming and Digital Competence on Agricultural Income. Korea Rural Economic Review, 29(5), 45-62. DOI : 10.36464/jrd.2007.29.5.003
  11. M. Kim & D. Ahn. (2017). An Empirical Analysis of the Effects of Information Accessibility on the Farm Sales Earnings. The Korean Journal of Agricultural Economics, 58(1), 117-142. DOI : 10.24997/KJAE.2017.58.1.117
  12. P. Rosenbaum & D. Rubin. (1983). The Central Role of the Propensity Score in Observational Studies for Causal Effects. Biometrika, 70(1), 41-55. DOI : 10.2307/2335942
  13. D.J. Angrist & J-S. Pischke. (2009). Mostly Harmless Econometrics. New Jersey: Princeton University Press.
  14. H. Pyo & S. Hong. (2013). Propensity Score Matching and Operating Performance of KOSDAQ IPOs. Korea Review of Applied Economics, 15(3), 39-71.
  15. C. Choi, N. Kim, & K. Choi. (2018). The Effects of Job Training Programs on Employability among College Graduates. Economic Analysis, 24(2), 1-27.
  16. T.Y. Kim, D.B. Han, J.H. Ahn, & S.H. Lee. (2013). Effect of Mothers' Identification on Nutrition Labelling to Children's Obesity. The Korean Journal of Health Economics and Policy, 19(3), 51-82.
  17. R.H. Dehejia & s. Wahba. (1999). Causal Effects in Nonexperimental Studies: Reevaluation the Evaluation of Training Programs. Journal of the American Statistical Association, 94(448), 1053-1062. https://doi.org/10.1080/01621459.1999.10473858
  18. S.H. Huang & S.T. Ji. (2018). An Analysis of Policy Effects of Export Infrastructure Strengthening Program on Export of Food Distribution Companies. Journal of Distribution Science, 16(1), 87-99. DOI : 10.15722/jds.16.1.201801.87
  19. M.S. Park & B.I. Ahn. (2016). Effects of Meal Regularity on Adult Obesity. Korea Rural Economic Review, 39(3), 79-122. DOI : 10.36464/jrd.2016.39.3.004
  20. D.K. Lee. (2016). An Introduction to Propensity Score Matching Methods. Anesthesia and Pain Medicine, 11(2), 130-148. DOI : 10.17085/apm.2016.11.2.130
  21. S.W. Lee, O.S. Kwon, & H.C. Lee. (2003). Agricultural Sales Earnings and Niche Market Development in KyoungKI Province. Korea Rural Economic Review, 26(2), 23-46.
  22. S.P. Jung & S.H. Hwang. (2023). Effects of Farmers' Participation in Producer Organization on Agricultural Income. Korean Journal of Food Marketing Economics, 40(2), 21-46.
  23. J.H. Park, J. Hwang, & S.W. Lee. (2014). The effect of the 6th industrialization in agriculture on farm and off-farm income. Journal of Korean Society of Rural Planning, 20(4), 193-208. DOI : 10.7851/ksrp2014.20.4.193
  24. M. Caliendo & S. Kopeinig. (2008). Some Practical Guidance for the Implementation of Propensity Score Matching. Journal of Economic Surveys, 22(1), pp.31-72. DOI : 10.1111/j.1467-6419.2007.00527.x
  25. I. Kwon & I.K. Park. (2022). Comparison of Subjective Quality of Life by Settlement Type Using Propensity Score Matching Method. Journal of the Korean Regional Science Association, 38(2), 21-41.