Does Economic Agglomeration in Rural Areas Enhance Local Economies in Indonesia?
DOI:
https://doi.org/10.21787/jbp.17.2025.75-88Keywords:
Agglomeration, Rural, Village Original Income, Spatial Analysis, PSM-DiDAbstract
Integrated rural areas development is strategically bolstering the success of equitable development in Indonesia. According to Village Law, rural areas are defined as clusters of villages with geographical proximity, similar superior commodities, common purpose, and government support in overcoming various basic issues, including expanding economic scale. Complying with the policy, this study aims to analyze the economic growth of rural areas, which focus on 62 National Priority Rural Areas as stated in the 2020–2024 National Medium Term Development Plan. The spatial analysis method examines intra-regional impacts on the increase of Village Original Income (VOI) as a result of economic agglomeration utilizing panel data at the village level. According to the findings, there is a considerable spatial correlation or positive spillover impact among the nearby villages in rural areas, which may further enhance and strengthen local economies. Additionally, the PSM-DiD method is applied to investigate whether the National Priority Rural Areas Development Policy influences the growth of VOI. However, the result hasn't yielded any convincing evidence of the beneficial effects of policy implementation in a short period. Despite the interaction result being frequently positive, it is unclear whether this policy drives the increase of VOI in rural areas significantly. Progressive intervention is needed from the governments at every level, from planning and implementation to evaluation. Besides, collaboration between different stakeholders, including the private sector and off-takers, is necessary to expedite the growth of the local economies and boost regional productivity.
Downloads
References
Abadie, A. (2005). Semiparametric Difference-in-Differences Estimators. 72(1), 1–19. https://doi.org/10.1111/0034-6527.00321
Anselin, L. (1988). Spatial Econometrics: Methods and Models. Studies in Operational Regional Science, 4. https://doi.org/10.1007/978-94-015-7799-1
Anselin, L., & Bera, A. K. (1998). Spatial Dependence in Linear Regression Models with an Introduction to Spatial Econometrics. Handbook of Applied Economic Statistics, 237–290. https://doi.org/10.1201/9781482269901-36
Barkley, D. L., & Henry, M. S. (1997). Rural Industrial Development: To Cluster or Not to Cluster? 19(2), 308–325. https://doi.org/10.2307/1349744
Belotti, F., Hughes, G., & Mortari, A. P. (2017). Spatial panel-data models using Stata. The Stata Journal, 17(1), 139–180. https://doi.org/10.1177/1536867X1701700109
Ben Abdesslem, A., & Chiappini, R. (2019). Cluster policy and firm performance: a case study of the French optic/photonic industry. Regional Studies, 53(5), 692–705. https://doi.org/10.1080/00343404.2018.1470324
Cahyo Diarto, H., Pengembangan Kawasan Perdesaan Berbasis Potensi di, P., Cahyo Diartho, H., Ilmu Ekonomi, J., Ekonomi dan Bisnis, F., & Jember Jalan Kalimantan, U. (2017). Potential Rural Area Development Planning in Bondowoso District. Journal Ekuilibrium, II(1), 1–9.
Cliff, A., & Ord, K. (1972). Testing for Spatial Autocorrelation Among Regression Residuals. Geographical Analysis, 4(3), 267–284. https://doi.org/10.1111/j.1538-4632.1972.tb00475.x
Cravo, T., & Mendes Rsende, G. (2013). The Brazilian regional development funds and economic growth: A spatial panel approach. The Annals of Regional Science, 50(2). https://doi.org/10.35188/UNU-WIDER/2015/007-2
Day, J., & Ellis, P. (2014). Urbanization for Everyone: Benefits of Urbanization in Indonesia’s Rural Regions. Journal of Urban Planning and Development, 140(3). https://doi.org/10.1061/(asce)up.1943-5444.0000164
Deichmann, U., Lall, S. V., Redding, S. J., & Venables, A. J. (2008). Industrial location in developing countries. World Bank Research Observer, 23(2), 219–246. https://doi.org/10.1093/wbro/lkn007
Deng, N., Feng, B., & Partridge, M. D. (2022). A blessing or curse: the spillover effects of city–county consolidation on local economies. Regional Studies, 56(9), 1571–1588. https://doi.org/10.1080/00343404.2021.1995600
Ding, Y. (2023). The impact of agricultural industrial agglomeration on farmers’ income: An influence mechanism test based on a spatial panel model. PLoS ONE, 18(9 September). https://doi.org/10.1371/journal.pone.0291188
Elhorst, J. P. (2014). Spatial Econometrics?: From Cross-Sectional Data to Spatial Panels. Springer Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40340-8
Ellison, G., & Glaeser, E. L. (1999). Evolution of the geographic concentration of industry--The geographic concentration of industry: Does natural advantage explain agglomeration? The American Economic Review, 89(2), 311–316. https://doi.org/10.1257/aer.89.2.311
Fan, C. C., & Scott, A. J. (2003). Industrial agglomeration and development: A survey of spatial economic issues in East Asia and a statistical analysis of Chinese regions. Economic Geography, 79(3), 295–319. https://doi.org/10.1111/j.1944-8287.2003.tb00213.x
Firmansyah, R., Dika, N. R. Z. M., & Putri, S. F. (2022). Village-Owned Enterprises Management Model in Improving Village Original Income: Best Practice from Pujon Kidul, Indonesia. International Economic Policy, 37, 37–54. https://doi.org/10.33111/iep.eng.2022.37.02
Glaeser, E. L., Kallal, H. D., Scheinkman, J. A., & Shleifer, A. (1992). Growth in Cities. Journal of Political Economy, 100(6), 1126–1152. https://doi.org/10.1086/261856
Hilmawan, R., Aprianti, Y., Vo, D. T. H., Yudaruddin, R., Bintoro, R. F. A., Fitrianto, Y., & Wahyuningsih, N. (2023). Rural development from village funds, village-owned enterprises, and village original income. Journal of Open Innovation: Technology, Market, and Complexity, 9(4). https://doi.org/10.1016/j.joitmc.2023.100159
Lei Tian, H. Holly Wang, & Yongjun Chen. (2010). Spatial externalities in China regional economic growth. China Economic Review, 21(1), S20–S31. https://doi.org/10.1016/j.chieco.2010.05.006
Lesage, J. P., & Pace, R. K. (2014). The biggest myth in spatial econometrics. Econometrics, 2(4), 217–249. https://doi.org/10.3390/econometrics2040217
Malmberg, A., & Maskell, P. (1997). Towards an explanation of regional specialization and industry agglomeration. European Planning Studies, 5(1), 25–41. https://doi.org/10.1080/09654319708720382
Marshall, A. (1920). Principles of Economics.
Moran, P. A. P. (1950). Notes on Continuous Stochastic Phenomena. Biometrika, 37(1/2), 17. https://doi.org/10.2307/2332142
Neumayer, E., & Plümper, T. (2016). W. Political Science Research and Methods, 4(1), 175–193. https://doi.org/10.1017/PSRM.2014.40
Padmore, T., & Gibson, H. (1998). Modelling systems of innovation: II. A framework for industrial cluster analysis in regions. Research Policy, 26, 625–641. https://doi.org/10.1016/S0048-7333(97)00038-3
Rüttenauer, T. (2024). Spatial Data Analysis.
Schmitz, H., & Nadvi, K. (1999). Clustering and Industrialization: Introduction. World Development, 27(9), 1503–1514.
Wang, H., Liu, C., Xiong, L., & Wang, F. (2023). The spatial spillover effect and impact paths of agricultural industry agglomeration on agricultural non-point source pollution: A case study in Yangtze River Delta, China. Journal of Cleaner Production, 401. https://doi.org/10.1016/j.jclepro.2023.136600
Wardhana, D., Ihle, R., & Heijman, W. (2017). Agro-clusters and Rural Poverty: A Spatial Perspective for West Java. Bulletin of Indonesian Economic Studies, 53(2), 161–186. https://doi.org/10.1080/00074918.2017.1298722
Xu, H., Gao, Q., & Yuan, B. (2023). Does the establishment of nature reserves increase rural residents’ income?: Empirical evidence from China based on PSM-DID. Environmental Science and Pollution Research, 30(14), 42122–42139. https://doi.org/10.1007/s11356-022-25053-7
Zeng, C., & Yu, L. (2022). Do China’s Modern Agricultural Demonstration Zones work? Evidence from agricultural products processing companies. Applied Economics, 54(37), 4310–4323. https://doi.org/10.1080/00036846.2022.2030044
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Author(s)

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


