Causal Modelling of Economic Growth: A Review of Four Key Variables Using SAS

DOI

10.2991/978-2-38476-046-6_99How to use a DOI?

Keywords

Village Development Index (IVD); Village Fund Allocation (ADD); Poverty (POP); Human Development Index (HDI); and Economic Growth (GE)

Abstract

In an effort to understand the elements that contribute to economic growth, the theory of growth has evolved over many years in the economic sector. Alternative human capital measurements, fiscal policy, the amount and nature of public and private investment, monetary policy and inflation, as well as a number of political and demographic aspects, have all been covered in some past research. The renewal process used in this study is centered on village development, which is thought to be important for economic development. In order to develop a better model for observing the causal relationship between the Village Development Index (IVD), Village Fund Allocation (ADD), Poverty (POP), Human Development Index (HDI), and Economic Growth (GE) with path analysis in the short term, this research will also be focused on econometric analysis for time-lapse data. Examining the causal connections between the Village Development Index (IVD), Village Fund Allocation (ADD), Poverty (POP), Human Development Index (HDI), and Economic Growth is the primary goal of this study (GE). This study employed route analysis to examine linked variables (IVD, ADD, POP, HDI, and GE) with a focus on 154 districts in Sumatra. In order to better understand the direct and indirect impacts of variables that are considered to be the source of variables that are being treated as effects, path analysis is a crucial statistical tool. Such analysis can be used to determine the degree to which each distinct source contributes to the variation of a given effect.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ukhti Ciptawaty
AU  - Tiara Nirmala
AU  - Annisa Yulistia
PY  - 2023
DA  - 2023/05/02
TI  - Causal Modelling of Economic Growth: A Review of Four Key Variables Using SAS
BT  - Proceedings of the 3rd Universitas Lampung International Conference on Social Sciences (ULICoSS 2022)
PB  - Atlantis Press
SP  - 1026
EP  - 1037
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-046-6_99
DO  - 10.2991/978-2-38476-046-6_99
ID  - Ciptawaty2023
ER  -