Dedi Budiman Hakim
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Journal : Habitat

Import of Agricultural Products in the Intra-Regional Comprehensive Economic Partnership (RCEP) Simanullang, Endang Sari; Dedi Budiman Hakim; Yusman Syaukat; Widyastutik
HABITAT Vol. 33 No. 3 (2022): December
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2022.033.3.24

Abstract

The flow of agricultural products through imports has the potential to increase with the geographical conditions of adjacent RCEP countries. Economic and non-economic factors can affect imports of agricultural products. This study aims to analyze the spatial effect and the factors that influence the import of agricultural products in Intra RCEP. This study uses a data period from 2013-2019. The analytical method used in this research is Moran's global index, Local Indicator of Spatial Autocorrelation (LISA), and Geographically Weighted Panel Regression (GWPR). The results show a spatial effect of imports of agricultural products in intra-RCEP. China, Japan, and South Korea are countries that are geographically concentrated in importing agricultural products within the intra-RCEP. The factors that significantly affect the total value of imports of agricultural products are GDP per capita, trade openness, Foreign Direct Investment (FDI), and government effectiveness. The policy recommendations in this study are implementing the RCEP agreement in the long term, open market access, encouraging increased investment in the agricultural sector, and an efficient bureaucracy.
Spatial Effects on Rice Exports in ASEAN Countries Sri Herliana; Dedi Budiman Hakim; Tanti Novianti; Yusman Syaukat
HABITAT Vol. 34 No. 1 (2023): April
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2023.034.1.7

Abstract

Rice trade was also influenced by the proximity factor between regions. This study analyzed the influence of spatial effects on rice exports in ASEAN countries. The analytical method used in this study is a quantitative method and Spatial panel data regression was used in analyzing spatial effects using panel data regression analysis.  The data used was panel data with a time series from 2005 to 2019 and between individuals covering 10 ASEAN member countries, namely the Philippines, Indonesia, Malaysia, Singapore, Thailand, Brunei Darussalam, Vietnam, Cambodia, Laos, and Myanmar. Data processing was assisted by using the R Studio application. Based on the regression analysis of spatial panel data to see the spatial effect on intra-ASEAN rice exports, it can be concluded that there was a spatial effect on intra-ASEAN rice exports. In addition, the results of this study also show that there was a relatively weak spatial agglomeration in rice exports in the ASEAN region.