Social assistance performance on local economic development: evidence from island regions in East Indonesia

Chairullah Amin, Irfan Zamzam, Indraswati Tri Abdi Reviane, Firdaus Duko, Muhammad Hasnin, Nurdin I Muhammad, Romi Bhakti Hartarto, Cep Jandi Anwar

Abstract


During economic uncertainty following the COVID-19 pandemic, social assistance is vital for alleviating the economic burden on the poor and vulnerable to poverty, particularly those residing in island-based areas. The research aims to measure the performance of social assistance programs in the regional economy of the North Maluku Archipelago Province. The study employs Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) to measure efficiency values, with input variables including social aid, unemployment, and inflation, while the output variable is poverty. The results reveal that social assistance is ineffective in reducing poverty. Several obstacles, including the minimal budget allocation, inaccuracies in identifying assistance recipients, and insufficient time for aid distribution are identified as primary causes of the inefficiency of social aid programs. Updating poverty data into one unified and integrated dataset is essential for the efficiency distribution of social assistance. Accurate targeting and timely distribution are the keys to the effectiveness of social assistance programs in reducing poverty.


Keywords


Social Assistance; Efficiency; DEA; Stochastic Frontier

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References


Aigner, D., Lovell, C. A. K., & Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6, 21–37.

Amin, C., Mulyati, H., Anggraini, E., & Kusumastanto, T. (2021). Impact of maritime logistics on archipelagic economic development. The Asian Journal of Shipping and Logistics, xxxx. https://doi.org/10.1016/j.ajsl.2021.01.004

Aransiola, T. J., Ordoñez, J. A., Cavalcanti, D. M., Alves de Sampaio Morais, G., de Oliveira Ramos, D., & Rasella, D. (2023). The combined effect of social pensions and cash transfers on child mortality: evaluating the last two decades in Brazil and projecting their mitigating effect during the global economic crisis. Lancet Regional Health - Americas, 27, 100618. https://doi.org/10.1016/j.lana.2023.100618

Arfandi, R. Z., & Sumiyarti. (2022). Dampak Program Bantuan Sosial Terhadap Pengentasan Kemiskinan dan Pengurangan Ketimpangan di Indonesia. Media Ekonomi, 30(1), 1–15.

Battese., George. Coelli, T. (1992). Frontier Production Functions , Technical Efficiency and Panel Data : With Application to Paddy Farmers in India. Journal of Productivity Analysis, 3(May), 153–169. https://doi.org/10.1007/BF00158774

Baylan, M. (2019). Impact of Social Security Expenditures on Income Distribution: Case of Turkey. MANAS Sosyal Araştırmalar Dergisi, 8(3), 2579–2593. https://doi.org/10.33206/mjss.590102

Briguglio, L. (1995). Small Island Developing States and Their Economic Vulnerabilities. World Development, 23(9), 1615–1632.

Charnes, A., Cooper, W. W., & Li, S. (1989). Using data envelopment analysis to evaluate efficiency in the economic performance of chinese cities. Socio-Economic Planning Sciences, 23(6), 325–344. https://doi.org/10.1016/0038-0121(89)90001-3

CoellI, T. I. M. (1995). Estimators and Hypothesis Tests for a Stochastic Frontier Function : A Monte Carlo Analysis. The Journal of Productivity Analysis, 268, 247–268.

Cooper, W W. Kumbhakar, S. Thrall, Robert M. Yu, X. (1995). DEA and Stochastic Frontier Analyses of the 1978 Chinese Economic Reforms. Socio-Econ. Plann. Sci., Vol. 29, N(ca 1991), 85 112.

De Senna, V., & Souza, A. M. (2016). Assessment of the relationship of government spending on social assistance programs with Brazilian macroeconomic variables. Physica A: Statistical Mechanics and Its Applications, 462, 21–30. https://doi.org/10.1016/j.physa.2016.05.022

Devereux, S. (2002). Can Social Safety Nets Reduce Chronic Poverty? Development Policy Review, 20(5), 657–675.

Djuanda, B. (2024). Urgensi Kebijakan Satu Data Kemiskinan [The Urgency of One Poverty Data Policy]. Https://Www.Republika.Id/Posts/43874/Urgensi-Kebijakan-Satu-Data-Kemiskinan.

Fernandes, R., & Pinho, P. (2017). The distinctive nature of spatial development on small islands. Progress in Planning, 112, 1–18. https://doi.org/10.1016/j.progress.2015.08.001

Indonesian Central Bureau of Statistics. (2022). Percentage of Poor Population by Province and Region. https://www.bps.go.id/indicator/23/192/2/persentase-penduduk-miskin-p0-menurut- provinsi-dan-daerah.html

Indonesian Ministry of National Development Planning. (2014). Perlindungan Sosial di Indonesia: Tantangan dan Arah ke Depan [Social Protection in Indonesia: Challenges and Future Directions]. Direktorat Perlindungan dan Kesejahteraan Masyarakat.

Jondrow, J., Knox, C. A., & Schmidt, P. (1982). On The Estimation of Technical Inefficiency In The Stochastic Frontier Production Function Model. Journal of Econometrics, 19, 233–238.

Kerr, S. A. (2005). What is small island sustainable development about? Ocean and Coastal Management, 48(7–8), 503–524. https://doi.org/10.1016/j.ocecoaman.2005.03.010

Kumbhakar, S. C., Wang, H., & Horncastle, A. (2015). A Practitioner’s Guide to Stochastic Frontier Analysis Using Stata. Cambridge University Press.

Le-rong, Y., & Xiao yun, L. (2021). The effects of social security expenditure on reducing income inequality and rural poverty in China. Journal of Integrative Agriculture, 20(4), 1060–1067. https://doi.org/10.1016/S2095-3119(20)63404-9

Nurias, N., Johari, S. M., Muljarijadi, B., & Wardhana, A. (2023). Reducing the provincial poverty rate in Indonesia: The impact of local government expenditure. Jurnal Ekonomi & Studi Pembangunan, 24(2), 297–315. https://doi.org/10.18196/jesp.v24i2.18618

Pramanik, N. D. (2020). Dampak Bantuan Paket Sembako dan Bantuan Langsung Tunai terhadap Kelangsungan Hidup Masyarakat Padalarang pada Masa Pandemi Covid 19 [The Impact of Food Package Assistance and Direct Cash Assistance on the Survival of the Padalarang Community during the C. Jurnal Ekonomi, Sosial Dan Humaniora, 01(12), 113–120. https://www.jurnalintelektiva.com/index.php/jurnal/article/view/209/149

Rizki, M. (2021). Dampak Program Perlindungan Sosial Dalam Mengatasi Kemiskinan Di Tengah Pandemi Covid-19 [The Impact of the Social Protection Program in Overcoming Poverty Amid the Covid-19 Pandemic]. Jurnal Good Governance, 17(2), 125–135. https://doi.org/10.32834/gg.v17i2.335

Statistics, C. A. (2022). North Maluku Province in Figures. https://malut.bps.go.id/publication.html

Varshney, D., Kumar, A., Mishra, A. K., Rashid, S., & Joshi, P. K. (2021). India’s COVID-19 social assistance package and its impact on the agriculture sector. Agricultural Systems, 189(December 2020), 103049. https://doi.org/10.1016/j.agsy.2021.103049

Waldman, D. M. (1982). A stationary point for the stochastic frontier likelihood. Journal of Econometrics, 18(2), 275–279. https://doi.org/10.1016/0304-4076(82)90041-0

Zhang, H. (2016). Social assistance for poor children in urban China: A qualitative study from the recipients’ perspective. Children and Youth Services Review, 64, 122–127. https://doi.org/10.1016/j.childyouth.2016.03.011




DOI: https://doi.org/10.18196/jesp.v25i1.20988

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