Regional Expenditure Allocation Optimal Point Simulation Using Data Development Programming in Achieving a Resilient Regional Economy in East Java

Authors

  • Britany Sembiring Sembiring Kementerian Keuangan

DOI:

https://doi.org/10.53572/ejavec.v4i2.55

Keywords:

APBD, Linear Programming, Data Envelopment Analysis, Perekonomian

Abstract

This study aims to find the optimal point of the allocation of local government spending to increase economic growth in the region and create a resilient economy. The methods used are (1) clustering regional potential based on LQ and the level of pandemic impact based on the Covid Intensity Index; (2) efficiency measurement and benchmarking of local government expenditure allocation using DEA; (3) development of an alloxy optimal

point simulation application using LP, and; (4) robustness testing using the OLS method. This study uses input data originating from realization based on the functions of 509 local governments in 2019 and 2020, HDI, PMTB, Manpower, and output in the form of GRDP growth. The results of this study show that the efficiency of local government expenditure allocation management has a positive correlation with economic growth. The results of this analysis are specific recommendations for each region in achieving the most optimal level of growth and efficiency. This simulation can provide a solution on how to manage APBD management as a government intervention to increase the economic resilience of the economy against the impact of the pandemic as well as under normal circumstances.

References

BPS (2020). Statistik Indonesia. https://www.bps.go.id

Bruneau, M., Chang, S. E., Eguchi, R. T., Lee, G. C., O’Rourke, T. D., Reinhorn, A. M., Shinozuka, M., Tierney, K., Wallace, W. A., & von Winterfeldt, D. (2003). A Framework to Quantita tively Assess and Enhance the Seismic Resilience of Communities. In Earthquake Spec tra (Vol. 19, Issue 4, pp. 733–752). https://doi.org/10.1193/1.1623497

Bruneckiene, J., Pekarskiene, I., Palekiene, O., & Simanaviciene, Z. (2019). An assessment of socio-economic systems’ resilience to economic shocks: The case of Lithuanian regions. Sustainability (Switzerland), 11(3). https://doi.org/10.3390/su11030566

CSIS Indonesia. (2021, Juli 30). Matriks Keadaan Ekonomi dan Kesehatan. Retrieved from CSIS Indonesia: https://covid19.csis.or.id/

DiMaggio, P. J., & Powell, W. W. (1983). The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields. American Sociological Review, Vol. 48, No. 2, 147-160.

Hallegatte, S. (2014). Economic Resilience Definition and Measurement. http://econ.world bank.org.

Istiqomah, A. (2019). “Analisis Pengaruh Sektor Basis dan Nonbasis Terhadap Pertumbuhan Ekonomi dalam Prespektif Ekonomi Islam Di Kabupaten Pringsewu Tahun 2011 – 2017”, Skripsi Sarjana S1 Fakultas Ekonomi dan Bisnis Islam Universitas Islam Negri Raden In tan Lampung. http://repository.radenintan.ac.id/7150/1/SKRIPSI%20AZIZATUL%20IS TIQOMAH.pdf

Lim, D.J. (2016),” Inverse DEA with frontier changes for new product target setting”, European Journal of Operational Research, Volume 254, Issue 2, Pages 510-516, ISSN 0377-2217. https://doi.org/10.1016/j.ejor.2016.03.059.

Mardiasmo (2004). Efisiensi dan Efektifitas, penerbit Andy Jakarta

Micra (2020). Indonesia Programs. MICRA Indonesia. http://www.micra-indo.org/pages-pro grams

Menuju, A., Berkelanjutan, P., & Pandemi, M. (n.d.). Realokasi Anggaran dan Penyesuaian (Refocusing) Program LAPORAN HASIL RISET 3 Realokasi Anggaran dan Penyesuaian (Refocusing) Program: Tantangan dan Respons Pemerintah Daerah Hadapi Pandemi. https://localisesdgs-indonesia.org

Oprea, F., Onofrei, M., Lupu, D., Vintila, G., & Paraschiv, G. (2020). The determinants of eco nomic resilience. The case of Eastern European regions. Sustainability (Switzerland), 12(10). https://doi.org/10.3390/su12104228

Render, & Heizer. (2006). Manajemen Operasi (Terjemahan, Jilid I). Jakarta: Salemba Empat.

Rose, A., & Krausmann, E. (2013). An economic framework for the development of a resilience index for business recovery. International Journal of Disaster Risk Reduction, 5, 73–83. https://doi.org/10.1016/j.ijdrr.2013.08.003

Simmie, J., & Martin, R. (2010). The economic resilience of regions: Towards an evolutionary approach. Cambridge Journal of Regions, Economy and Society, 3(1), 27–43. https:// doi.org/10.1093/cjres/rsp029

Sondermann, D. (2017). Towards More Resilient Economies: The role of well-functioning eco nomic structures. www.ceps.eu

Suddaby, R., Seidl, D., & Lê, J. K. (2013). Strategy-as-practice meets neo-institution al theory. In Strategic Organization (Vol. 11, Issue 3, pp. 329–344). https://doi. org/10.1177/1476127013497618

Suradinata, Ermaya, (2001), “Geopoliti dan Geostategik Dalam Mewujudkan Negara Kesatu an. Republik Indonesia”, Jurnal Ketahanan Nasional No. VI Agustus 2001

Theodoropoulou, S., Picek, O., Galgoci, B. (2020). Macroeconomic developments in Europe: tackling the growth, inequality and climate change challenges.

Downloads

Published

2020-12-30

How to Cite

Sembiring, B. S. (2020). Regional Expenditure Allocation Optimal Point Simulation Using Data Development Programming in Achieving a Resilient Regional Economy in East Java. East Java Economic Journal, 4(2), 264–289. https://doi.org/10.53572/ejavec.v4i2.55

Issue

Section

Articles