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CLIMATE DYNAMICS AND AGRICULTURAL SECTOR PERFORMANCE IN INDONESIA: A PROVINCIAL PANEL DATA ANALYSIS Rian Hilmawan; Siti Amalia; Farah Diba Muna
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 5 (2026): October (ON-PROGRESS)
Publisher : CV. Radja Publika

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Abstract

This study examines the effect of climate dynamics on agricultural sector performance in Indonesia using province-level panel data for the period 2014–2023. Employing panel regression estimations under several specifications, the analysis investigates whether average temperature and rainy-day frequency, as the main climate-related variables, are associated with real agricultural Gross Regional Domestic Product (GRDP), which captures the market value in the food and horticultural crop subsectors. The empirical results indicate that temperature is the most robust climate-related predictor of agricultural GRDP across model specifications. By contrast, the effect of rainy-day frequency is more sensitive to the inclusion of year fixed effects, suggesting that rainfall-related effects may be influenced by common annual shocks or broader time-specific conditions. Population is generally positively associated with real agricultural GRDP, although its magnitude weakens after accounting for year effects. Overall, the Driscoll–Kraay estimations confirm that temperature remains a consistent predictor of agricultural GRDP, while the estimated effects of rainy days, land cover, and population are more dependent on model specification, particularly the treatment of year fixed effects.
EXPORT COMPETITIVENESS AND DETERMINANTS OF INDONESIA’S FISHERIES COMMODITIES: EVIDENCE FROM A PROVINCIAL-LEVEL ANALYSIS Hotsawadi Hotsawadi; Nuzulia; Rian Hilmawan
Jurnal Riset Ekonomi dan Bisnis Vol. 19 No. 2 (2026): AGUSTUS
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/jreb.v19i2.15154

Abstract

This study aims to analyze the competitiveness of Indonesian fishery commodity exports and identify factors that influence the performance of fishery exports between provinces in Indonesia. The study uses panel data covering 34 provinces in Indonesia for the period 2010–2025. Export competitiveness is measured using the Revealed Comparative Advantage (RCA) index and the Location Question (LQ) to assess the comparative advantage of Indonesian fishery commodities in the international market. Furthermore, panel data regression analysis is used to examine the effect of price levels, trade openness, logistics performance, exchange rates, and human resource quality on fishery export performance at the provincial level. The results show disparities in fishery export competitiveness between provinces in Indonesia. Some provinces have relatively high export competitiveness, while others still show low competitiveness in the international market. The regression estimation results indicate that trade openness, exchange rates, logistics performance, and human resource quality have a positive and significant effect on fishery export performance, while price levels show a negative and significant effect on Indonesian fishery export performance in the global market. These findings indicate that increasing trade integration, strengthening logistics infrastructure, and developing human capital are important factors in sustainably improving the competitiveness and export performance of Indonesia's fisheries sector.