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All Journal Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Efficient: Indonesian Journal of Development Economics
Suryanto
Universitas Sebelas Maret
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AGRICULTURE AND ECONOMIC OUTPUT IN WEST AFRICA: A PANEL DATA INVESTIGATION OF KEY DETERMINANTS Mabengba David Aja Kofi; Suryanto; Mulyadi
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 4 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21898006

Abstract

This study examines the impact of Agricultural Land Area, Labor Force in Agriculture, Rainfall, and Trade Openness on Agriculture, Forestry, and Fishing, Value Added (% of Gross Domestic Product) across 13 West African countries from 1991 to 2022. Using panel data regression, the analysis shows that Agriculture Land Area and Labor Force Agriculture have a positive influence on Agriculture, Forestry, and Fishing, Value Added (% of Gross Domestic Product), although this effect is limited by land degradation and low labor productivity. RF has a positive but inconsistent impact due to its dependence on rain-fed agriculture, whereas TO significantly boosts growth through market integration. Country-specific factors, like infrastructure and policy frameworks, influence these relationships. These results underscore the importance of policies that optimize land use, enhance labor skills, mitigate climate variability, and expand market access, aligning with Sustainable Development Goals 2 (Zero Hunger) and 8 (Decent Work and Economic Growth).
Socio-Economic Indicator of Childhood Stunting in Indonesia: A GMM Analysis Margettya; Suryanto; Evi Gravitiani
Efficient: Indonesian Journal of Development Economics Vol. 7 No. 3 (2024)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/efficient.v7i3.6601

Abstract

The purpose of this study is to analyze the short-term and long-term effects of socio-economic indicators on the prevalence of stunting in Indonesia in 2018-2022. The estimation used to analyze the spatial dynamic panel data model in this study is the Generalized Method of Moment (GMM). Based on the results of the analysis, the variables that have a significant positive effect on the prevalence of stunting in Indonesia are GRDP per capita and poverty, while the variables of literacy, sanitation and HDI have a negative effect on the prevalence of stunting. Although the effect of GRDP per capita on stunting is weak, if followed by low poverty, increasing literacy spirit, awareness of the importance of sanitation and the continued growth of Indonesia's human development index, it is hoped that every household can provide the nutritional needs of toddlers to quickly reduce the prevalence of stunting in Indonesia.
Co-Authors Evi Gravitiani Mabengba David Aja Kofi Margettya Mulyadi