The Role of Population, Inflation and Economic Growth of Local Tax Revenues in East Java Province, Indonesia
DOI:
https://doi.org/10.61841/rnnxg002Keywords:
population, inflation, economic growth, local taxAbstract
The study aimed to determine the influence between population, inflation, and economic growth on local tax revenues and find appropriate policy strategies in maximizing local tax revenues in Java province East. This research uses secondary and primary data with interviewees. The data analysis method uses a quantitative approach using multiple linear regression analyses. The results of this research are variable inflation and economic growth do not affect local tax revenues. Only a variable population has a significant effect on local tax revenues, meaning that if the population increases the local tax revenues are also increased. Likewise, if the population decreases, the number of local tax revenues decreases. When tested simultaneously, the number of population variables, inflation, and economic growth have a significant influence on the local tax of 41%.
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1. Abdi, H., Rusidah, S., & Arifin, H. (2016). Analisis Pengelolaan Pendapatan dan Belanja Daerah Pada Pemerintah Kota Banjarmasin. Jurnal Bisnis dan Pembangunan Edisi Januari-Juni, 5(1), 2541-178X.
2. Agburuga, Uche. (2019). Sanctity of the Accounting Theory: The Application of Theory in the Conceptual Framework of Financial Statements and Accounting Standards. International Journal of Accounting and Taxation. December 2019, Vol. 7, No. 2, pp. 11-19.
3. Anicic, Jugoslav. Et al. (2016). Local Tax Policy in the Function of Development of Municipalities in Serbia.
Procedia, Social and Behavioral Science 262 - 269
4. Badan Pusat Statistik. (2018), Jawa Timur Dalam Angka 2015. Meulaboh Badan Pusat Statistik. (2018). Statisitk Daerah Jawa Timur 2018.
5. Ghozali, Imam. ( 2013). Aplikasi Analisis Multivariate dengan Program SPSS. Semarang : Badan Penerbit Universitas Diponegoro.
6. Hidayat, Haris, Muhammad. (2014), Analisis Pengaruh Pertumbuhan Ekonomi Dan Ipm Terhadap Ketimpangan Pendapatan Antar Daerah Di Provinsi Jawa Tengah Tahun 2005-2015. Fakultas Ekonomika dan Bisnis Universitas Diponegoro.
7. K, Datu, Rindu, Indra. (2012), Analisis Faktor Yang Mempengaruhi Pendapatan Asli Daerah(Pad) Di Makassar Tahun 1999-2009.http://repository.unhas.ac.id.
Fakultas Ekonomi dan Bisnis Universitas Hasanuddin.
8. Kuncoro, M. (2000). 'Ekonomi Pembangunan: Teori, Masalah, dan Kebijakan, UPP AMP YKPN. Yogyakarta.
9. Mansor, Nor. Et al. (2015). Information Technology Sophistication and Goods and Services Tax in Malaysia. Procedia Economics and Finance 35. ScienceDirect ( 2016 ) 2 – 9
10. Sekaran, Uma. (2006). Metodologi Penelitian untuk Bisnis. Jakarta : Salemba Empat. Siskawati.
11. Nelva. (2014). Pengaruh Jumlah Penduduk dan Pertumbuhan Ekonomi Terhadap Pendapatan Asli Daerah Antar Kabupaten/Kota di Provinsi Riau. Jurnal Paradigma Ekonomi, Volume 9. No 2.
12. Puspita, Yeni dan Galih Wicaksono. (2018). The Analysis of Potential Restaurant Tax Revenue in Banyuwangi Regency. 2nd International Seminar Series on Regional Dynamic (ISSRD). University of Jember.
13. Sugiyono. (2013). Metode Penelitian Manajemen. Bandung : Penerbit Alfabeta. Susanto,
14. Iwan. (2014). Analisis Pengaruh PDRB, Penduduk, Dan Inflasi Terhadap Pendapatan Asli Daerah (PAD) (Studi Kasus Kota Malang Tahun 1998-201 http://www.jimfeb.ub.ac.id/ Vol 2, No 2 2014.
15. Undang-undang Republik Indonesia No 23 Tahun 2014 Tentang Pemerintah Daerah
16. Patel, B.N., Prajapati, S.G., Lakhtaria, K.I.Efficient classification of data using decision tree (2012) Bonfring International Journal of Data Mining, 2 (1), pp. 06-12.
17. Tarlaci, S.A historical view of the relation between quantum mechanics and the brain: A neuroquantologic perspective (2010) NeuroQuantology, 8 (2), pp. 120-136.
18. S. Elavarasi, G. Suseendran, “Automatic Robot Processing Using Speech Recognition System” Advances in Intelligent Systems and Computing, Data Management, Analytics and Innovation, Vol.1, October.2019, pp. 185-195, https://doi.org/10.1007/978-981-32-9949-8_14.
19. Syed Jawad Hussain, Sohail Maqsood, NZ Jhanjhi, Azeem Khan, Mahadevan Supramaniam and Usman Ahmed, “A Comprehensive Evaluation of Cue-Words based Features and In-text Citations based Features for Citation Classification” In International Journal of Advanced Computer Science and Applications(IJACSA), 10(7), pp. 209-218. 2019
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