Determining the Factors Affecting the Levels of Need for Public Social Assistance of Households: Insights from the District of Konyaaltı, Antalya - TURKEY

Yıl 2022, , 225 - 240, 30.11.2022

Hamidou Taffa Abdoul-azize , Cengiz Sayın

https://doi.org/10.56202/mbsjcs.1109905

Öz

The main purpose of the study is to determine the levels of need of the households
for public social assistance and the main factors affecting it. The study data
were collected through a face-to-face survey with the beneficiaries of public social
assistance and multinomial logistic regression model was used for data analysis.
The results revealed that the households would be needy rather than less needy
of social assistance if they receive family benefits rather than if they receive elders
and disabilities benefits, but this probability would decrease if the monthly income
of the individuals in the household increases by 1 TRY-Lira. In addition, the
households would be more likely to move to the level of “highly needy” rather than
“less in need” of social assistance if the age of the head of the household increases
by one year, the number of individuals in the household increases by one person
and if the households receive family benefits instead of elderly and disabled benefits.
The findings of study would enable policymakers to improve public social
assistance practices in Turkey.

Anahtar Kelimeler

Social assistance, the need of level, multinomial logistic regression, Antalya, Turkey.

Destekleyen Kurum

Scientific Research Projects Coordination Unit of Akdeniz University

Proje Numarası

Project No 403

Hanelerin Kamu Sosyal Yardım Muhtaçlık Düzeylerini Etkileyen Faktörlerin Belirlenmesi: Antalya İli Konyaaltı İlçesi Örneği - TÜRKİYE

Öz

Çalışmanın ana amacı; hanelerin, kamu sosyal yardımına muhtaçlık düzeylerinin
ve bunu etkileyen başlıca faktörlerin belirlenmesidir. Çalışma verileri, kamu
sosyal yardımlarından yararlanan hanelerden yüz yüze anket yoluyla toplanmış
ve veri analizinde çok terimli lojistik regresyon modeli kullanılmıştır. Araştırma
sonuçlarına göre; bir hanenin sosyal yardıma muhtaç olma olasılığının, yaşlı ve
engelli yardımlarından ziyade aile yardımlarından yararlanması durumunda artacağını
ancak hane halkı bireylerinin aylık gelirinin 1 TL-Lira artması durumunda
hanenin sosyal yardıma muhtaç olma olasılığının azalacağı görülmüştür. Ayrıca
hane reisinin yaşı bir yıl artarsa, hanedeki birey sayısı bir kişi artarsa, eğer hane
yaşlı ve engelli yardımları yerine aile yardımı alırsa; hanenin “az muhtaç” düzeyden ziyade sosyal yardıma “çok muhtaç” düzeye geçme olasılığı daha yüksek olacaktır.
Araştırma sonuçları, Türkiye’de daha verimli kamu sosyal yardım uygulamaları
için politika belirleyicilere yarar sağlayacaktır.

Anahtar Kelimeler

Sosyal yardımlar, muhtaçlık düzeyi, çok terimli lojistik regresyon, Antalya, Türkiye.

Proje Numarası

Project No 403

Kaynakça

• Agresti, Alan (2018). An introduction to categorical data analysis. John Wiley & Sons.
• Alesina, Alberto and Angeletos, George-Marios (2005). “Fairness and redistribution”. American Economic Review 95(4): 960-980.
• Alkire, Sabina, Foster, James vd. (2015). Multidimensional poverty measurement and analysis. USA: Oxford University Press.
• Atkinson, A. B. (1987). “On The Measurement of Poverty.” Econometrica: Journal of the Econometric Society 55(4): 749-764.
• Barrientos, Armando (2010). Social Protection and Poverty. https://cdn.unrisd.org/assets/ library/ papers/pdffiles/ barrientos-pp.pdf.
• Barusch, Amanda Smith (2009). Foundations Of Social Policy: Social Justice in Human Perspective. United States: Cengage Learning.
• Borraz, Fernando, and González, Nicolas (2009). “Impact of the Uruguayan conditional cash transfer program.” Cuadernos De Economia 46(134): 243-271.
• Brand, Horst (2001). “World Labour Report 2000: Income Security and Social Protection in A Changing World.” Monthly Labor Review 124(6): 47-47.
• Caglayan, Ebru and Dayioglu, Tuğba (2011). “Comparing The Parametric and Semiparametric Logit Models: Household Poverty in Turkey.” International Journal of Economics and Finance 3(5): 197-207.
• Chêne, Marie (2010). Corruption Prevention Strategies in Cash Transfer Schemes. U4 Expert Answers, 1-9.
• Coulombe, Harold and McKay, Andrew (1996). “Modeling Determinants of Poverty in Mauritania.” World Development 24(6): 1015-1031.
• Cozzarelli, Catherine; Wilkinson, Anna V. and Tagler, Michael J. (2001). “Attitudes Toward the Poor and Attributions for Poverty.” Journal of Social Issues 57: 207-227.
• Da Costa, Leonor Pereira and Dias, Jose G. (2015). “What Do Europeans Believe to Be The Causes of Poverty? A Multilevel Analysis of Heterogeneity Within and Between Countries.” Social Indicators Research 122(1): 1-20.
• Demissie, Birhan Sisay and Kasie, Tesfahun Asmmav (2017). “Rural Households’ Vulnerability to Poverty in Ethiopia.” Journal of Poverty 21(6): 528-542.
• Deressa, Dereje Fekadu (2013). “Assessing Households Vulnerability to Poverty in Rural Oromiya-Ethiopia.” Journal of Economics and Sustainable Development 4(8): 110-117.
• Devereux, Stephen and Sabates-Wheeler, Rachel (2004). Transformative Social Protection. https://opendocs.ids.ac.uk/opendocs/bitstream/handle/20.500.12413/4071/Wp232.pdf?sequence=1&isAllowed=y Devereux, Stephen; Mvula, Peter and Solomon, Colette (2006). “After the Fact: An Evaluation of Concern Worldwide’s Food and Cash Transfers Project in Three Districts of Malawi.” London: Concern Worldwide Directorate of the Population of Konyaalti: https://www.nufusu.com/ilce/konyaalti_antalya-nufusui Accessed at 02.05.2021
• Farrington, John; Sharp, Kay and Sjoblom, Disa (2007). Targeting Approaches to Cash Transfers: Comparisons Across Cambodia, India and Ethiopia. London: ODI.
• Fiszbein, Ariel, and Schady, Norbert R. (2009). Conditional Cash Transfers: Reducing Present and Future Poverty. World Bank Publications.
• Fiszbein, Ariel; Kanbur, Ravi and Yemtsov, Ruslan (2013). “Social Protection, Poverty and The Post-2015 Agenda.” World Bank Policy Research Working Paper, No: 6469.
• Fiszbein, Ariel; Kanbur, Ravi and Yemtsov, Ruslan (2014). “Social Protection and Poverty Reduction: Global Patterns and Some Targets.” World Development 61: 167-177.
• Gang, Ira N.; Sen, Kunal and Yun, Myeong-Su. (2002). Caste, Ethnicity and Poverty in Rural India. Available at SSRN 358160.
• Geda, Alemayehu; De Jong, N Niek; Mwabu, G Germano and Kimenyi, Mwangi S. (2001). “Determinants of Poverty in Kenya: A Household Level Analysis.” ISS Working Paper Series/General Series 347: 1-20.
• Grootaert, Christiaan (1997). “The Determinants of Poverty in Cote d’Ivoire in the 1980s.” Journal of African Economies 6(2): 169-196.
• Haines, Richard and Wood, Geoffrey (2002). “Unemployment, Marginalisation and Survival in Greater East London.” Development Southern Africa 19(4): 573-581.
• Harvey, Paul (2007). “Cash? Based Responses in Emergencies.” IDS Bulletin 38(3): 79-81.
• Haushofer, Johannes and Fehr, Ernst (2014). “On the Psychology of Poverty.” Science 344(6186): 862-867. Hosmer, David W., Lemeshow, Jr. Stanley, and Sturdivant, Rodney X. (2013). Applied Logistic Regression (Vol. 398). UK: John Wiley & Sons.
• Javed, Zahoor Hussain and Asif, Ayesha (2011). “Female Households and Poverty: A Case Study of Faisalabad District.” International Journal of Peace and Development Studies 2(2): 37-44.
• Korn, Liran; Malul, Miki and Luski, Israel (2015). “Employment as a Poverty Trap.” Journal of Employment Counseling 52(3): 110-120.
• Lahat, Lihi and Menahem, Gila (2009). “Causes and Remedies for Poverty: Perceptions Among Local Elected Leaders in Israel.” Poverty & Public Policy 1(2): 1-31.
• Magen, Benjamin B.; Donovan, Cynthia and Kelly, Valerie A. (2009). “Can Cash Transfers Promote Food Security in the Context of Volatile Commodity Prices? A Review of Empirical Evidence.” MSU International Development Working Paper, Michigan: Michigan State University.
• Mdluli-Maziya, Phindile and Dunga, S. (2022). “Determinants of Poverty in South Africa Using the 2018 General Household Survey Data.” Journal of Poverty 26(3): 197–213.
• Midi, Habshah; Sarkar, S. K. and Rana, Sohel (2010). “Collinearity Diagnostics of Binary Logistic Regression Model.” Journal of Interdisciplinary Mathematics 13(3): 253-267.
• Monnickendam, M.; Katz, C., and Monnickendam, M. S. (2010). “Social Workers Serving Poor Clients: Perceptions of Poverty and Service Policy.” British Journal of Social Work 40(3): 911-927.
• Niño-Zarazúa, Miguel; Barrientos, Armando; Hickey, Samuel and Hulme, David. (2012). “Social Protection in Sub- Saharan Africa: Getting the Politics Right.” World Development 40(1): 163-176.
• Okojie, Christiana E. E. (2002). Gender and Education as Determinants of Household Poverty in Nigeria (No. 2002/37). Wider discussion paper.
• Samson, M. (2009). Social Cash Transfers and Pro-Poor Growth in Promoting Pro-Poor Growth: Social Protection, 43-59.
• Schneider, Simone M. and Castillo, Juan C. (2015). “Poverty Attributions and the Perceived Justice of Income Inequality: A Comparison of East and West Germany.” Social Psychology Quarterly 78(3): 263-282.
• Sekhampu, Tshediso Joseph (2013). “Determinants of Poverty in South African Township.” Journal of Social Sciences 34: 145–153.
• Sen, Amartya (1992). Inequality Reexamined. US: Harvard University Press. Turkey Ministry of Family and Social Assistance Policies (2019). http://sosyalyardimlar.aile.gov.tr/. Accessed at 21.03.2019.
• World Bank. (2020). https://www.worldbank.org/en/data/datatopics/aspire#1. Accessed at 12 April 2021.