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Abstract
This study aims to evaluate the impact of e-commerce adoption on employment absorption in micro and small manufacturing enterprises (IMK) in Indonesia. Utilizing data from the 2022 Micro and Small Industry Survey conducted by Statistics Indonesia, the analysis employs a Propensity Score Matching approach to address the imbalance in characteristics between e-commerce adopters and non-adopters. The results indicate that e-commerce adoption is positively associated with an increase in the number of workers employed by adopting firms. Business characteristics such as the presence of professional workers, business legality, and firm age are found to significantly influence adoption. Sensitivity analysis also shows that the estimates are robust against potential hidden bias. These findings highlight the importance of policy interventions that promote e-commerce adoption among IMK as a strategic effort to enhance employment capacity. Policy implications drawn from this study emphasize the need for cost-effective digital training programs, improved digital literacy, accelerated business formalization, and sectoral as well as business-cycle-based approaches to maximize the impact of e-commerce on employment in the IMK sector. With the right and targeted interventions, digitalization in the IMK sector has the potential not only to increase labor absorption but also to contribute to more inclusive and sustainable economic growth.
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References
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References
Alam, K., Ali, M. A., Erdiaw-Kwasie, M. O., Murray, P. A., & Wiesner, R. (2022). Digital Transformation among SMEs: Does Gender Matter?. Sustainability, 14(1), 535. https://doi.org/10.3390/su14010535
Ausat, A. M. A., & Peirisal, T. (2021). Determinants of E-commerce Adoption on Business Performance: A Study of MSMEs in Malang City, Indonesia. Jurnal Optimasi Sistem Industri, 20(2), 104–114. https://doi.org/10.25077/josi.v20.n2.p104-114.2021
Badan Pusat Statistik [BPS]. (2023). Labour Force Situation in Indonesia August 2023. Jakarta: Badan Pusat Statistik.
Badan Pusat Statistik [BPS]. (2024). Quarterly Gross Domestic Product of Indonesia 2020-2024. Jakarta: Badan Pusat Statistik.
Bănescu, C. E., Tițan, E., & Manea, D. (2022). The impact of e-commerce on the labor market. Sustainability, 14(9), 5086. https://doi.org/10.3390/su14095086
Baser, O. (2006). Too Much Ado about Propensity Score Models? Comparing Methods of Propensity Score Matching. Value in Health, 9(6), 377-385. https://doi.org/10.1111/j.1524-4733.2006.00130.x
Black, D. A., & Smith, J. A. (2004). How Robust is the Evidence on the Effects of College Quality? Evidence from Matching. Journal of Econometrics, 121(1-2), 99-124.. https://doi.org/10.1016/j.jeconom.2003.10.006
Caliendo, M., & Kopeinig, S. (2008). Some practical guidance for the implementation of propensity score matching. Journal of Economic Surveys, 22(1), 31–72. https://doi.org/10.1111/j.1467-6419.2007.00527.x
Chava, S., Oettl, A., Singh, M., & Zeng, L. (2024). Creative destruction? Impact of e-commerce on the retail sector. Management Science, 70(4), 2168–2187. https://doi.org/10.1287/mnsc.2023.4795
Chen, S., Chao, X., Wang, C., & Xue, Z. (2025). Government Digital Product Procurement and Enterprise Digital Transformation. China & World Economy, 33(5), 139-166. https://doi.org/10.1111/cwe.12605
Chun, H., Joo, H. H., Kang, J., & Lee, Y. (2023). E-commerce and Local Labor Markets: Is the “Retail Apocalypse” Near?. Journal of Urban Economics, 137, 103594.. https://doi.org/10.1016/j.jue.2023.103594
Cirera, X., Comin, D., & Cruz, M. (2022). Bridging the Technological Divide: Technology Adoption by Firms in Developing Countries. World Bank Publications.
Gherghina, Ș. C., Botezatu, M. A., & Simionescu, L. N. (2021). Exploring the Impact of Electronic Commerce on Employment Rate: Panel Data Evidence from European Union Countries. Journal of Theoretical and Applied Electronic Commerce Research, 16(7), 3157-3183. https://doi.org/10.3390/jtaer16070172
Harahap, M. A., Sutrisno, S., Raharjo, I. B., Novianti, R., & Ausat, A. A. (2023). The Role of MSMEs in Improving the Economy in Ramadan. Community Development Journal, 4(2), 1907-1911.
Hjort, J., & Poulsen, J. (2019). The Arrival of Fast Internet and Employment in Africa. American Economic Review, 109(3), 1032-1079. https://doi.org/10.1257/aer.20161385
Mankiw, N. G., & Taylor, M. P. (2020). Economics. Cengage Learning EMEA.
OECD. (2019). SME and Entrepreneurship Outlook 2019. OECD Publishing, Paris. https://doi.org/10.1787/34907e9c-en
Pérez-Trujillo, M., Torrejón, C. A., & Calderón, M. L. (2024). Is E-commerce an Opportunity for Boosting Employment in Developing Countries? a study for the Chilean case. Asia-Pacific Journal of Regional Science, 8(4), 1077-1110. https://doi.org/10.1007/s41685-024-00356-4
Purnomo, S. D., Adhitya, B., & Zumaeroh, Z. (2021). The Impact of the Digital Economy on the Income of Micro and Small Industries in Indonesia. Jurnal Ekonomikawan, 21(1), 85-95. https://doi.org/10.30596/ekonomikawan.v21i1.6248
Rodríguez Puello, G., Sands Lambraño, Y., Méndez Rodríguez, A., & Castilla Castilla, L. (2022). The Impact of E-commerce on Productivity: Firm-level Evidence from Colombia. Serie de Documentos de Trabajo IDEAS, 1(1), 1-19. https://doi.org/10.13140/RG.2.2.16661.19682
Rosenbaum, P. R., & Rubin, D. B. (1983). The Central Role of the Propensity Score in Observational Studies for Causal Effects. Biometrika, 70(1), 41-55. https://doi.org/10.1093/biomet/70.1.41
Takeda, A., Truong, H. T., & Sonobe, T. (2022). The Impacts of the COVID-19 Pandemic on Micro, Small, and Medium Enterprises in Asia and Their Digitalization Responses. Journal of Asian Economics, 82, 101533. https://doi.org/10.1016/j.asieco.2022.101533
Wooldridge, J. M. (2015). Introductory Econometrics: A Modern Approach (6th ed.). Cengage Learning.
Yin, Z. H., & Choi, C. H. (2021). The Effects of China’s Cross-border E-commerce on its Exports: a Comparative Analysis of Goods and Services Trade. Electronic Commerce Research, 23(1), 443-474. https://doi.org/10.1007/s10660-021-09483-y
Zhang, L., Chen, J., Liu, Z., & Hao, Z. (2023). Digital Inclusive Finance, Financing Constraints, and Technological Innovation of SMEs—Differences in the Effects of Financial Regulation and Government Subsidies. Sustainability, 15(9), 7144. https://doi.org/10.3390/su15097144
