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Zakat Sebagai Sosial Finansial Untuk Pemberdayaan Masyarakat dan Menanggulangi Kemiskinan (Studi Kasus Pada UPZ di Tasikmalaya) Mulyadi, Sandi; Abdullah, Muhammad Latif
Mabny: Journal of Sharia Management and Business Vol. 2 No. 2 (2022): Mabny : Journal of Sharia Management and Business
Publisher : Faculty of Islamic Economics and Business, State Islamic Institute of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19105/mabny.v2i02.6055

Abstract

The aim of this research is to see the optimization of the legality of the Zakat Collecting Unit (UPZ) in Tasikmalaya and to analyze the role of zakat as social finance in helping and empowering the community and in alleviating poverty in the community. The method used is a case study with several UPZ objects in Tasikmalaya. The study found that local governments have not seriously promoted the potential of zakat as evidenced by the absence of zakat regulation by local governments. However, in terms of zakat collection, UPZ has been effective and efficient. Then with regard to community empowerment and poverty alleviation, zakat funds should be allocated for productive and labor-intensive economic activities and make mosques the basis for community empowerment.
Determinants of Income Inequality Villages and Cities in Indonesia Juniati, Wike; Abdullah, Muhammad Latif; Wibowo, Muhammad Ghafur
Journal of Developing Economies Vol. 7 No. 2 (2022)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jde.v7i2.33980

Abstract

The image of development in Indonesia is getting worse when development progress is felt by the upper class. The segmentation of the upper and lower levels of society is reflected in the gap between life in the village and the city. The purpose of this study is to analyze the determinants of income inequality based on the classification of villages, cities, and between villages and cities in Indonesia. The data analysis method used is panel data regression which is an analytical technique that is observed over a certain period. The data used is annual secondary data from 2016-2020 in 34 provinces of Indonesia. Inequality analysis is carried out by calculating the Gini index based on household expenditure data. Economic growth, population, human development index, domestic investment, technology development index, and employment opportunities are independent variables. The results of this study found that there was a significant negative relationship the technology development index and positive relationship population in city and between village and city areas. Then the variable employment opportunity have a significant negative relationship to income inequality in the village.