Assessing the Quantitative Relationship between Economic Infrastructure and Economic Expansion



Authors (s)


(1) * Moh. Fajar Al Hakim   (Universitas Islam Zainul Hasan Genggong, Indonesia)  
        Indonesia
(2)  Fahrudin Fahrudin   (Nurul Jadid University, Indonesia)  
        Indonesia
(3)  Chanda Chansa Thelma   (Chreso University, Zambia)  
        Zambia
(*) Corresponding Author

Abstract


Economic growth is a crucial pillar of regional development and serves as an indicator of how well development is going, as well as a tool for future planning. Development will not proceed easily if the infrastructure is poor, and a nation or region's economic activity will not be sufficient if the infrastructure is insufficient. Throughout the years 2018 to 2023, Probolinggo Regency's economic growth rate had erratic variations. Therefore, the purpose of this study is to ascertain how Probolinggo Regency's road network, access to clean water, and availability of power affect economic growth. This study's methodology was quantitative and deductive in nature. The information used is secondary data, specifically time series data from the Central Bureau of Statistics. Using multiple linear regression analysis and the OLS (Ordinary Least Squares) data analysis method, SPSS 24 was utilized to conduct the study's data analysis. Where the value is significant > 0.05, the study's findings show that infrastructure for roads, water, and power has no bearing on economic growth.



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References


Aziz, A. L., & Sain, S. H. (n.d.). Sustainable Legal Education: Aligning Curricula with the 2030 Agenda for Sustainable Development.

Bai, X., Wang, K. T., Tran, T. K., Sadiq, M., Trung, L. M., & Khudoykulov, K. (2022). Measuring China’s green economic recovery and energy environment sustainability: Econometric analysis of sustainable development goals. Economic Analysis and Policy, 75, 768–779. https://doi.org/10.1016/j.eap.2022.07.005

Doll, K. M., Nguyen, A., & Alson, J. G. (2022). A conceptual model of vulnerability to care delay among women at risk for endometrial cancer. Gynecologic Oncology, 164(2), 318–324. https://doi.org/10.1016/j.ygyno.2021.11.010

Eficandra. (2022). The Reconstruction of High-Inherited Wealth in Minangkabau through Cash Waqf Movement. Juris: Jurnal Ilmiah Syariah, 21(1), 121–133. https://doi.org/10.31958/juris.v21i1.5850

Eisenhardt, K. M. (2021). What is the Eisenhardt Method, really? Strategic Organization, 19(1), 147–160. https://doi.org/10.1177/1476127020982866

Oswald, Y., Steinberger, J. K., Ivanova, D., & Millward-Hopkins, J. (2021). Global redistribution of income and household energy footprints: A computational thought experiment. Global Sustainability. https://doi.org/10.1017/sus.2021.1

Puaschunder, J. M. (2020). Data fiduciary in order to alleviate principalagent problems in the artificial big data age. In Information For Efficient Decision Making: Big Data, Blockchain And Relevance (pp. 41–90). https://doi.org/10.1142/9789811220470_0002

Putri, D. F. (2024). Human Resource Management ( Hrm ) in Improving Customer Behavior Through Emotional Attachment ( Ea ). proceeding of international conference on education, society and humanity, 02(01), 850–859.

Rifa’i, Y. (2023). Analisis Metodologi Penelitian Kulitatif dalam Pengumpulan Data di Penelitian Ilmiah pada Penyusunan Mini Riset. Cendekia Inovatif Dan Berbudaya, 1(1), 31–37. https://doi.org/10.59996/cendib.v1i1.155

Sain, Z. H. (2025). From Chalkboards to Chatbots: Revolutionizing Education with AI-Driven Learning Innovations. Educative: Jurnal Ilmiah Pendidikan, 3(1), 1–10.

Setiawan, D. M., Widiasari, F., & Zahro, F. (2024). Behaviour Management in the Classroom: Improving the Quality of Education through Systematic Optimization of the Learning Environment. FALASIFA: Jurnal Studi Keislaman, 15(1), 35–47.

Tabroni, I., & Wishal Luthfikha. (2023). Method of Lecture and Discussion: Increasing Islamic Understanding. International Journal of Scientific Multidisciplinary Research, 1(2), 97–106. https://doi.org/10.55927/ijsmr.v1i2.3358




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Islamic Finance and Economic Insights Published by Lembaga Penerbitan, Penelitian, dan Pengabdian kepada Masyarakat (LP3M) of Nurul Jadid University, Paiton, Probolinggo, East Java, Indonesia.

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