INTERACTIVE RELATIONSHIP BETWEEN AGRI-E-COM AGGLOMERATION AND REGIONAL ECONOMIC DEVELOPMENT IN NORTHEAST CHINA IN DIGITAL ECONOMY BACKGROUND
Main Article Content
Abstract
This study investigates the interactive relationship between agricultural e-commerce (Agri-E-Com) agglomeration (AGGLO.) and regional economic development in Northeast China (NE China), emphasizing the mediating role of marketing strategies within the digital economy. The research addresses critical gaps in understanding how industrial agglomeration and digital marketing synergize to drive economic growth in rural regions. Focusing on Heilongjiang, Jilin, and Liaoning provinces, the study targets farmers engaged in or interested in agricultural e-commerce via the Alibaba platform. A quantitative approach using SEM to evaluate hypotheses derived from industrial agglomeration theory and marketing frameworks (7PS, 4CS, STP). Data were collected through a 102-item questionnaire distributed via the Questionnaire Star platform, employing snowball sampling to achieve a gender-balanced sample (1,088 responses, 1,000 valid). Despite potential representativeness limitations of snowball sampling, the study ensured sample diversity through gender balancing and targeted recruitment of farmers engaged in e-commerce. Confirmatory Factor Analysis (CFA) and SEM validated the model’s robustness (CMIN/DF = 1.173, RMSEA = 0.013).
Key findings reveal that industrial agglomeration (IAS) significantly drives regional economic development (REDS) with a direct effect (β = 0.638, p < 0.001), mediated partially by marketing strategies. The 7PS framework exhibited the strongest mediation (indirect β = 0.434), followed by 4CS (β = 0.340) and STP (β = 0.299). Agricultural e-commerce agglomeration (mean = 3.45) surpassed traditional clusters (mean = 3.36), highlighting its potential to enhance supply chain efficiency and market penetration through digital tools like e-commerce and brand storytelling. Policy recommendations emphasize infrastructure development, digital literacy programs, and equitable resource allocation to mitigate regional disparities. This study contributes actionable insights for policymakers and e-commerce platforms to optimize rural economic strategies, underscoring the transformative role of digital marketing in bridging agglomeration benefits with sustainable development.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
ลิขสิทธิ์บทความวิจัยที่ได้รับการตีพิมพ์เผยแพร่ในวารสารมนุษยศาสตร์และสังคมศาสตร์ วไลยอลงกรณ์ ในพระบรมราชูปถัมภ์ ถือเป็นกรรมสิทธิ์ของคณะมนุษยศาสตร์และสังคมศาสตร์ มหาวิทยาลัยราชภัฏวไลยอลงกรณ์ ในพระบรมราชูปถัมภ์ ห้ามนำข้อความทั้งหมดหรือบางส่วนไปพิมพ์ซ้ำ เว้นแต่จะได้รับอนุญาตจากมหาวิทยาลัยเป็นลายลักษณ์อักษร
ความรับผิดชอบ เนื้อหาต้นฉบับที่ปรากฏในวารสารมนุษยศาสตร์และสังคมศาสตร์ วไลยอลงกรณ์ ในพระบรมราชูปถัมภ์ เป็นความรับผิดชอบของผู้นิพนธ์บทความหรือผู้เขียนเอง ทั้งนี้ไม่รวมความผิดพลาดอันเกิดจากเทคนิคการพิมพ์
References
Acquisti, A., Brandimarte, L., & Loewenstein, G. (2016). Privacy and human behavior in the information age. Science, 347(6221), 509-514. https://doi.org/10.1126/science.aaa1465
Alshazly, H., Elmannai, H., & Benzaoui, A. (2023). Emerging advances in deep learning and computer vision for visual data search and mining in e-commerce. Electronic Commerce Research. . https://doi.org/10.1007/s10660-023-09736-y
Bank, E. I. (2021). Digitalisation in Europe 2021 – Evidence from the EIB Investment Survey. https://doi.org/10.2867/83139
Bollen, K. A. (1989). Structural Equations with Latent Variables. Wiley. https://www.wiley.com/en-us/Structural+Equations+with+Latent+Variables-p-9780471011712
Booms, B. H., & Bitner, M. J. (1981). Marketing strategies and organization structures for service firms. In J. H. Donnelly & W. R. George (Eds.), Marketing of services (pp. 47-51). American Marketing Association.
China Academy of Information and Communications Technology (CAICT). (2021a). Report on market depth analysis and investment direction research of China's digital economy industry from 2022 to 2028. https://www.chyxx.com/industry/202111/986833.html
China Academy of Information and Communications Technology (CAICT). (2021b). The White Paper on the Global Digital Economy. https://www.caict.ac.cn/
Chen, Z., & Song, S. (2008). Efficiency and technology gap in China's agriculture: A regional meta-frontier analysis. China Economic Review, 19, 287-296. https://doi.org/10.1016/J.CHIECO.2007.03.001
Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78(1), 98-104. https://doi.org/10.1037/0021-9010.78.1.98
Curran, P. J., West, S. G., & Finch, J. F. . (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16–29. https://doi.org/10.1037/1082-989X.1.1.16
Devereux, M. P., Griffith, R., & Klemm, A. . (2004). nternational taxation and multinational enterprise. Oxford University Press. https://www.worldcat.org/title/61177131
Ding, J. (2024). Agricultural products e-commerce should make new contributions to promoting consumption. https://www.thepaper.cn/newsDetail_forward_26751299
Energy, F. M. f. E. A. a. (2021). Jahreswirtschaftsbericht 2021 – Aufbruch aus der Krise. https://www.bmwk.de/Redaktion/DE/Publikationen/Wirtschaft/jahreswirtschaftsbericht-2021.pdf
Food and Agriculture Organization of the United Nations (FAO). (2022). Digital agriculture report: Rural e-commerce development experience from China. http://www.spa.zju.edu.cn/spachinese/2022/1122/c13219a2686555/page.htm
Faturohman, T., Kengsiswoyo, G., Harapan, H., Zailani, S., Rahadi, R., & Arief, N. (2021). Factors influencing COVID-19 vaccine acceptance in Indonesia: an adoption of Technology Acceptance Model. F1000Research, 10, 476.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382-388. https://doi.org/10.2307/3150980
Fujita, M., & Thisse, J.-F. (1996). Economics of agglomeration. Journal of Japanese and International Economics, 10 (2).
Gomber, P., Koch, J. A., & Siering, M. (2018). Digital Finance and Fintech: Current research and future research directions. The Journal of Business Economics, 87(5), 537-580.
Hair, J. F. (2010). Multivariate data analysis. 651.
Han, X., Bai, S., & Yu, H. . (2021). Pre-Sale Strategy for Fresh Agricultural Products Under the Consideration of Logistics Services. IEEE Access, 9, 127742-127752. https://doi.org/10.1109/ACCESS.2021.3112111
Hargittai, E. (2002). Second-level digital divide: Differences in people’s online skills. First Monday, 7(4). https://doi.org/10.5210/fm.v7i4.942
Henderson, J. V., & Thisse, J.-F. (Eds.). (2004). Handbook of Regional and Urban Economics, Volume 4: Cities and Geography (Vol. 4). Elsevier. https://doi.org/10.1016/S1574-0080(04)80001-9
Hirschman, A. O. (1958). The strategy of economic development. Yale University Press.
Intarot, P. (2018). Influencing Factor in E-Wallet Acceptant and Use. International Journal of Business and Administrative Studies.
iResearch Global. (2021). China Livestream E-commerce Industry Research Report 2021. https://www.iresearch.com.cn/Detail/report?id=3774&isfree=0
Jiang, B., & Li, C. [HLJ Daily]. (2023, September 18). Write the paper on "Smart Agriculture" on the land of Longjiang. SOHU. https://www.sohu.com/a/671932064_120870822
Kline, R. B. (2015). Principles and practice of structural equation modeling (4th ed.). Guilford Press. https://www.guilford.com/books/Principles-and-Practice-of-Structural-Equation-Modeling/Rex-Kline/9781462551910
Kotler, P. (2012). Kotler on marketing. Free Press.
Lauterborn, B. (1990). New Marketing Litany: Four Ps Passé: C-Words Take Over. Advertising Age,61(41), 26.
Li, Z. Y. (2020). Industrial Agglomeration and Regional Economic Growth: Analysis of the Threshold Effect Based on Industrial Upgrading. Open Journal of Business and Management, 8, 971-982. https://doi.org/10.4236/ojbm.2020.82061
Liu, H., Wen, S., & Wang, Z. (2022). Agricultural production agglomeration and total factor carbon productivity: based on NDDF–MML index analysis. China Agricultural Economic Review, 14(4), 709-740. https://doi.org/10.1108/CAER-02-2022-0035
Liu, M., Min, S., Ma, W., & Liu, T. (2021). The adoption and impact of E-commerce in rural China: Application of an endogenous switching regression model. Journal of Rural Studies, 83, 106-116. https://doi.org/10.1016/J.JRURSTUD.2021.02.021
Marshall, A. (1890). Principles of economics. Macmillan.
OECD. (2019). Measuring the Digital Transformation: A Roadmap for the Future. https://www.oecd.org/en/publications/measuring-the-digital-transformation_9789264311992-en.html
Perroux, F. (1955). Note sur la notion de pôle de croissance. Économie Appliquée, 8(1-2), 307-320.
Pigou, A. C. (1920). The economics of welfare. Macmillan.
Schmitt, & Neal. (1996). Uses and abuses of coefficient alpha. Psychological Assessment, 8(4), 350-353.
Shu, Z. (2024). Jilin Province's online retail sales growth rate ranks first in the country in 2023. https://baijiahao.baidu.com/s?id=1788169216930010664&wfr=spider&for=pc
Smith, A. (1776). An inquiry into the nature and causes of the wealth of nations. W. Strahan and T. Cadell.
Suri, R. E., & Sejnowski, T. J. (2002). Spike propagation synchronized by temporally asymmetric hebbian learning. Biological Cybernetics, 87(5-6), 440-445. https://link.springer.com/article/10.1007/s00422-002-0355-9
Statistics Canada. (2021, March 2). Gross domestic product, income and expenditure, fourth quarter 2020. https://www150.statcan.gc.ca/n1/daily-quotidien/210302/dq210302a-eng.htm
Thompson, J. H. (1966). Some Theoretical Considerations for Manufacturing Geography. Economic Geography, 42(4), 356-365. https://doi.org/10.2307/141999
United Nations Conference on Trade and Development (UNCTAD). (2021). United Nations Conference on Trade and Development B2C E-commerce Index 2020: Focus on Latin America and the Caribbean. United Nations Conference on Trade and Development (UNCTAD). https://unctad.org/system/files/official-document/dtlstict2021d2_en.pdf
U.S. Department of Commerce. (2021, February 25). Gross domestic product, 4th quarter and year 2020 (second estimate) [Press release]. U.S. Bureau of Economic Analysis. https://www.bea.gov/news/2021/gross-domestic-product-4th-quarter-and-year-2020-second-estimate
Vernon. (1966). International Investment and Investment Trade in the Product Cycle. Quarterly Journal of Economics, 80(2), 190-207.
Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big data in smart agriculture – A review. Agricultural Systems, 153, 69-80. https://doi.org/10.1016/j.agsy.2017.01.023
Yang, H., Zheng, Z., & Sun, C. . (2022). E-Commerce Marketing Optimization of Agricultural Products Based on Deep Learning and Data Mining. Computational Intelligence and Neuroscience. https://doi.org/10.1155/2022/6564014.
Yu, S., Wang, C., Jin, Z., Zhang, S., & Miao, Y. . (2022). Spatiotemporal evolution and driving mechanism of regional shrinkage at the county scale: The three provinces in northeastern China. PLoS ONE, 17. https://doi.org/10.1371/journal.pone.0271909.
Zhang, X., Li, Z., & Wang, J. (2021). Digital economy and total factor productivity: A meta-analysis. Economic Modelling, 94, 1046-1060. https://doi.org/10.1016/j.econmod.2020.1046
Zhao, X., & Sun, J. (2021). The role of e-commerce in promoting the agricultural development of northeast China. Journal of Northeast Agricultural University (English Edition), 28(1), 56-63.
Zhuo, R., Xu, X., Zhou, Y., & Guo, X. . (2024). Spatiotemporal evolution patterns and influencing factors of rural shrinkage under rapid urbanization: A case study of Zhejiang Province, China. Land, 13(12), 2137. https://doi.org/10.3390/land13122137