Social and Economic Relevance
Regional administrative divisions frequently struggle to balance welfare intervention with sustainable expansion
Research Methodology
To capture these dynamic interactions, the researchers analyzed secondary quarterly time-series data from Pidie Regency spanning from 2007 through 2025
- Stationarity Testing: Using the Phillips-Perron test at first difference to eliminate unit root issues
. - Lag Selection: Identifying an optimal five-period lag using criteria such as Akaike Information Criterion (AIC) and Final Prediction Error (FPE)
. - Stability and Cointegration Checks: Confirming VAR model stability via modulus criteria and establishing non-cointegration via Johansen tests
. - Granger Causality & Dynamic Analyses: Executing Granger causality tests, Impulse Response Functions (IRF), and Variance Decomposition (VD) across a 76-period horizon
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The empirical results reveal that regional economic performance in Pidie Regency is heavily driven by its own historical path and time-delayed responses to social challenges
- Direct vs. Time-Lagged Effects: Granger causality tests showed no direct, simultaneous causal dependence between variables, proving that shocks take time to reverberate through the economy
. - Economic Growth Self-Reliance: Past economic growth significantly dictates present growth
. VAR estimations indicate positive and significant impacts from the first and fifth lags of economic growth, though the fourth lag shows a significant negative adjustment . - Unemployment Dynamics: Joblessness shows no significant effect during lags 1 through 3
. However, unemployment exhibits a positive, statistically significant impact at lag 4 before turning negative and significant at lag 5 . - Poverty Dynamics: Similar to unemployment, poverty does not influence economic growth in the immediate lags (lags 1–3)
. However, at lags 4 and 5, poverty demonstrates a statistically significant positive effect on economic growth . - Long-Term Contribution (Variance Decomposition): Variance Decomposition reveals that over a 76-period horizon, economic growth explains approximately 86.92% of its own variation
. Poverty fluctuations account for roughly 8.45% of the variance in economic growth, while unemployment fluctuations contribute about 4.63% . - Impulse Response Insights: Impulse Response Function (IRF) graphs show that economic growth responses to unemployment and poverty shocks display initial fluctuations before gradually stabilizing toward equilibrium over extended periods
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The study provides actionable guidance for regional planners, business leaders, and government officials:
- Long-Term Policy Planning: Short-term economic evaluations may misinterpret the structural health of a region
. Local governments must structure welfare policies with multi-year transition periods in mind . - Targeted Workforce Investment: Addressing joblessness requires investments in vocational education and targeted skills training to shorten the structural lag between labor supply and productive output
. - Community Empowerment: Programs targeting poverty reduction should focus on productive economic engagement, improving access to technology, health, and education to boost long-term regional productivity
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Levi Rahmalia, S.E., M.Si. – Lecturer and researcher at Universitas Senior Medan, specializing in regional economics and quantitative macroeconomic analysis
Ayu Angelina Pasaribu, S.E., M.Si. – Faculty member at Universitas Senior Medan with research expertise in labor economics, public finance, and human capital development
Siti Maisyarah, S.E., M.Si. – Researcher at Universitas Senior Medan focusing on applied econometrics and socio-economic policy
Yosie Gabriela Panjaitan, S.E., M.Si. – Academic at Universitas Senior Medan specializing in developmental economics and regional growth modeling
Source
Levi Rahmalia, Ayu Angelina Pasaribu, Siti Maisyarah, Yosie Gabriela Panjaitan. The Influence of Unemployment and Poverty on Economic Growth in Pidie Regency (Pengaruh Pengangguran dan Kemiskinan terhadap Pertumbuhan Ekonomi di Kabupaten Pidie). Formosa Journal of Applied Sciences (FJAS). Vol. 5, No. 8, hlm. 1681–1696
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