Mezar-ı Şerif’te hanehalkı gelirinin belirleyicileri

Hanehalkı gelirinin incelenmesi, yoksulluk teorisi ve gelir dağılımındaki en önemli konulardanbiridir. Bu araştırma, Mezar-i-Şerif'te hane gelirinin belirleyicilerini belirlemeyi ve incelemeyiamaçlamaktadır. Çalışma betimsel-analitik bir metodoloji yaklaşımı olup, uygulama amacı açısındanyerel düzeyde mikroekonomik bir yaklaşımla kesitsel olarak gerçekleştirilen uygulamalı biraraştırmadır. Örneklem büyüklüğü, basit tesadüfi örnekleme yöntemiyle örneklenen 2019 yılındaMezar-i-Şerif'in 6. bölgesinden 200 haneyi içermektedir. Veri toplama aracı, araştırmacı tarafındanyapılan ve toplanan, SPSS yazılımı ile regresyon modeli ve geliştirilen ekonometri modeli kullanılarakanaliz edilen bireysel ankettir. Araştırma bulguları, önerilen regresyon modelinin bağımlı değişkenin%42.2'sini tahmin edebildiğini göstermektedir. Regresyon modelinin analizi, hane reisinin eğitimi,sözleşmeli çalışan üyeleri, hanelerde çalışan üye sayısı, emekliliğin gelir kaynağı, kira, Hawala, çiftlikbağımlı değişkeni ile sadece gelir kaynağının önemli pozitif ilişkisi olduğunu göstermektedir. Elsanatları bağımlı değişkenle negatif ilişkiye sahiptir, ancak bağımsız değişkenin geri kalanı bağımlıdeğişkenle anlamlı bir ilişkiye sahip değildir.

Determinants of households’ income in Mazar –e- Sharif

Studying household income is one of the most critical issues in poverty theory and incomedistribution. This research aims to identify and examine determinants of household income in Mazar e-Sharif. The study is a descriptive-analytical methodology approach, and in terms of practicalpurpose, this study is applied research conducted a cross-sectionally with a microeconomic approachat the local level. The sample size included 200 households from the six sites of Mazar-e-Sharif in theyear 2020, which were sampled through Be selected by chance. The data collection tool is an individualquestionnaire conducted and collected by the researcher, which was analyzed by SPSS software usinga regression model and developed econometrics model. The research findings show that the proposedregression model can predict 42.2% of the dependent variable. Furthermore, the analysis of regressionmodel shows that the education of the head of household, members with contractual employment,number of employed members in households, income source of retirement, rent, Hawala, farm havethe significant positive relationship with the dependent variable only income source of handicraft hasthe hostile relationship with the dependent variable. However, the rest of the independent variabledoes not have a significant relationship with the dependent variable.

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ALCS. (2016-2017). ALCS. Kabul: Central Statistics Organization.
Ashok, A. M. (2015). Household Resource Allocation under Negative Income Shock. World Development.
Cothari, C. (2004). ALCS. New Delhi: New Age International.
CSO. (2019). Ministry of Economy Afghanistan. Kabul: Central Statistics Office.
Fair, K. C. (2007). Principles of Economics. Upper Saddle River. Pearson Education, 54.
Heshmati, A. (2013). Analysis of the Determinants of Income and Income Gap between Urban and Rural China. IZA.
JAEBR. (2014). Assessing Determinants of Income of Rural Households in Bangladesh. Journal of Applied Economics and Business Research, 80-106.
Javanmardi, G. a. (2009). The Factors Affecting the income of Rural households in Afghanistan. Social Security Journal.
Kenneth, S. (2007). Determinants of Soviet Household Income. The European Journal of Comparative Economics, 3-24.
MPI. (2019). Repot of Afghanistan. Kabul. Organization, C. S. (2016-2017). ALCS. Kabul: CSO.
Sarah, A. (2015). Determinants of Rural Household Income Diversification in Senegal and Kenya. Lund University, 73.
Smith, K. (2007). Determinants of Soviet Household Income. The European Journal of Comparative Economics, 3-24.
Temory, M. D. (2017). Determinants of Household Income in Afghanistan An Empirical Analysis. RuhrUniversit at Bochum: IEE.
Y, H. S. (2005). Temporal and regional variation in earnings inequality. Social Science Research.
Yu, J. Y. (2017). Social determinants of household wealth and income in urban China. Chinese Journal of Sociology, 169-192.
Zadah, H. (2007). Theoretical Foundations of justice in health. Social Security Journal, 9.
Zadeh, H. (2007). Theoretical Foundations of justice in health. Social Security Journal, 11-43.