The Effect of TPID Policy Implementation and Food Price Monitoring on the Perceived Perceived Effectiveness of Food Price Stabilization Programs: Evidence from the Food Security Agency of Garut Regency
DOI:
https://doi.org/10.61978/politeia.v4i3.1503Keywords:
TPID, food price monitoring, policy implementation, food price stability, program effectivenessAbstract
This study examines the effect of Regional Inflation Control Team (TPID) policy implementation and food price monitoring on the perceived effectiveness of food price stabilization programs at the Food Security Agency of Garut Regency. A quantitative approach was adopted using a census method, involving respondents directly engaged in policy implementation and monitoring activities. Data were collected through structured Likert-scale questionnaires and analyzed using multiple linear regression to identify partial and simultaneous effects. Results show that TPID policy implementation and food price monitoring simultaneously have a significant effect on perceived program effectiveness (significance value = 0.000), based on data from 56 respondents. The coefficient of determination (R² = 0.758) indicates that 75.8% of the variation in perceived effectiveness is explained by these two variables, while the remaining 24.2% is attributed to factors outside the model. Partially, both variables significantly affect perceived program effectiveness, with TPID policy implementation showing a relatively stronger influence. The data used are perception-based, collected from implementers directly involved in policy and monitoring activities. Operational challenges—such as delays in real-time data input, limited monitoring system integration, and variations in implementer commitment—are interpreted as contextual factors contributing to the model's unexplained variance, rather than directly measured variables. This study underscores the importance of integrating effective policy implementation with reliable, real-time monitoring systems to enhance decision-making quality in maintaining food price stability. Practical implications include strengthening inter-agency coordination, improving reporting discipline, and optimizing real-time data systems for more responsive, evidence-based food price stabilization programs,
References
Anríquez, G., Daidone, S., & Mane, E. (2013). Rising food prices and poverty. Food Policy, 38, 190–202. https://doi.org/10.1016/j.foodpol.2012.02.010
Arezki, R., Lederman, D., & Zhao, H. (2020). Food price volatility and policy responses. World Development, 126, 104673.
Badan Pusat Statistik. (2023). Perkembangan inflasi dan harga pangan di Indonesia.
Bank Indonesia. (2020). Peran Tim Pengendalian Inflasi Daerah (TPID) dalam pengendalian inflasi daerah.
Bellemare, M. F. (2015). Rising food prices, food price volatility, and social unrest. American Journal of Agricultural Economics, 97(1), 1–21. https://doi.org/10.1093/ajae/aau038
Denhardt, R. B., & Denhardt, J. V. (2021). The new public service: Serving, not steering. Public Administration Review, 81(3), 549–559. https://doi.org/10.1111/0033-3352.00117
Dunleavy, P., Margetts, H., Bastow, S., & Tinkler, J. (2020). Digital-Era Governance. Oxford University Press.
Dunn, W. N. (2018). Public Policy Analysis (6th ed.). Routledge. https://doi.org/10.4324/9781315181226
Durevall, D., & Sjö, B. (2012). Food inflation in developing countries. Journal of Development Studies, 48(9), 1302–1317.
FAO. (2022). Food price monitoring and early warning systems.
Ferlie, E., Ongaro, E., & Ledermann, S. (2021). Adaptive governance. Public Administration Review, 81(2), 1–12.
Gilbert, C. L., & Morgan, C. W. (2010). Food price volatility. Philosophical Transactions of the Royal Society B, 365(1554), 3023–3034. https://doi.org/10.1098/rstb.2010.0139
Hatry, H. P. (2020). Performance Measurement. Urban Institute Press.
Headey, D., & Fan, S. (2010). Global food crisis reflections. Food Policy, 35(2), 151–162.
Janssen, M., & Kuk, G. (2016). Big data governance challenges. Government Information Quarterly, 33(3), 371–377. https://doi.org/10.1016/j.giq.2016.08.011
Janssen, M., & van der Voort, H. (2020). Agile governance. International Journal of Information Management, 55, 102180. https://doi.org/10.1016/j.ijinfomgt.2020.102180
Jongwanich, J., & Park, D. (2011). Inflation in developing Asia. Journal of Asian Economics, 22(6), 507–518. https://doi.org/10.1016/j.asieco.2009.07.004
Kaufmann, D., & Kraay, A. (2020). Worldwide Governance Indicators.
Kementerian Dalam Negeri Republik Indonesia. (2022). Pedoman TPID.
Kementerian Koordinator Bidang Perekonomian Republik Indonesia. (2023). Laporan inflasi daerah.
Meijer, A. (2021). Public innovation capacity. International Review of Administrative Sciences, 87(1), 50–67.
Minot, N. (2014). Food price volatility. Food Policy, 47, 18–27.
Mulyaningsih, D. (2020). Perilaku birokrasi. Jurnal Manajemen Publik, 8(2), 33–48. https://doi.org/10.51817/prj.v8i1.226
OECD. (2021). Policy responses to food price volatility.
Steers, R. M., & Daft, R. L. (2015). Management (12th ed.). Cengage Learning.
Timmer, C. P. (2015). Food security and stabilization. Food Policy, 51, 75–84. https://doi.org/10.9783/9780812290516
Widaningsih, R. (2022). Implementasi kebijakan publik. Jurnal Administrasi Publik, 13(1), 55–70.
Winter, S. C. (2012). Implementation perspectives. In The SAGE Handbook of Public Administration (pp. 265–278). https://doi.org/10.4135/9781446200506.n17
World Bank. (2021). Food price volatility and policy responses.
World Bank. (2022). Food security and inflation dynamics.
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