The study examines the effect of monetary policy, global uncertainty and environmental damage on the green stock market in Indonesia in the long and short term, using the Autoregressive Distributed Lag (ARDL) bound test method. The ARDL bound test results show that there is cointegration in the long term between the green stock market and monetary policy, global uncertainty and environmental damage. Empirical evidence finds that in the long term, the variables that affect the green stock market in Indonesia are monetary policy from interest rates, global uncertainty and environmental damage from carbon emissions. While in the short term the variables that affect the green stock market are interest rates without lag, lag 1, lag 2 and lag 3; global uncertainty in lag 1 and lag 2; and carbon emissions without lag and lag 1; while forest damage without lag shows a very weak effect at the 10% significance level. Coefficient also shows significant and negative sign. A deeper analysis found that there is a bidirectional causality from monetary policy to green stock markets and vice versa, and from carbon emissions to green stock markets and vice versa.
This study examined the influence of remittances and macro-economic variables on poverty in ASEAN-4 countries (i.e., Indonesia, Malaysia, Thailand, and the Philippines) over the 1991 to 2019 period using a panel Autoregressive Distributed Lag (ARDL) model. The study documented that remittance and unemployment have a significant effect on poverty reduction in the long run. Meanwhile, economic growth and the Gini coefficient were found to have an insignificant influence on poverty reduction. The speed of adjustment due to shocks in the short term is restored within eight months into the long-run equilibrium. Our results emphasize that poverty in ASEAN-4 must be addressed with pragmatic macroeconomic policies, especially policies that affect the poor's income. Besides, with the real contribution of remittances, the strengthening of international cooperation related to migrant workers is also essential to alleviate poverty.JEL Classification: F22, F24, I32, J01, O15How to Cite:Fahrizal, T., Aliasuddin., & Majid, M. S. A. (2021). Do Remittances Matter for Poverty Reduction in ASEAN?. Signifikan: Jurnal Ilmu Ekonomi, 10(1), 13-30. https://doi.org/10.15408/sjie.v10i1.19154.
This study investigates the asymmetric price transmission (APT) of global cocoa beans and cocoa pasta prices to farm prices. The cocoa pasta variable is a proxy for Indonesian processed cocoa industry products. We use monthly time series data from January 2007 to December 2020. The NARDL model was used to estimate the APT response behavior. The dummy variable (export cocoa bean tax) explains fluctuations in farm prices before and after the policy implementation. The results showed asymmetric cointegration between the global cocoa market and cocoa pasta prices moving towards farm cocoa prices in Indonesia. APT occurs in the short and long term with different significant levels for each variable. The increase (decrease) in the global market and cocoa pasta prices were transmitted asymmetrically in the short and long terms, except for the variable (PA-pos), which is not significant in the long term. We observe strong evidence of negative asymmetric price transmission. Negative price shocks (decreases) in global markets and cocoa pasta are more rapidly transmitted to farmer prices than positive price shocks. Adjustment prices occur in magnitude, speed, and sign. The high coefficient of negative asymmetric price transmission indicates the uncompetitive of Indonesia's supply-demand cocoa chain. At the same time, the cocoa bean export tax harms farm prices. The export tax policy has reduced farm prices by approximately 2.3%.
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