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Determinants of Export Diversification in Developing Countries
Rossanto Dwi Handoyo,Solihin,Kabiru Hannafi Ibrahim 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
This study unravels the impact of different determinants of export diversification in 62 developing countries classified as low, middle, and high-income over the period 2010-2018. The empirical strategy based on Poisson Pseudo-Maximum Likelihood revealed that GDP promotes the diversification of export in low, middle, and all countries’ samples and reduces it in high-income countries. Human capital reduces export diversification in low and middle-income countries and increases it in high-income and all countries’ samples. Population and countries’ competitiveness are associated with increased export diversification. Additionally, innovation does not affect diversification in all the country classifications while R&D significantly promotes diversification in middle-income and reduces it in low-income and all countries sample. The mediation effects of the variables are positive in the middle-income and high-income countries and mixed effect in low-income and all countries sample. The study, therefore recommends the need to develop human capital, increase global competitiveness, optimal use of resources for R&D to further increase export diversification in developing countries.
Rossanto Dwi Handoyo,Kabiru Hannafi Ibrahim,Frandy Yosza Indrawan 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.1
This study uses impulse response function and variance decomposition from the Vector Error Correction Model (VECM) and analyses the response of Jakarta Composite Index (JCI) return to the shocks of oil price, gold price, the exchange rate, interbank interest rates, COVID-19 cases, and the stock market index of Malaysia, Singapore, Thailand, Japan, and the United States. Daily secondary data were used for the analysis and our empirical strategy from the impulse response function divulges that JCI return responds positively to the shock of the Malaysia and Japan stock indices and negatively to Singapore, Thailand, and the United States stock indices. Our finding further reveals that JCI return responds positively to its shock, shocks of the gold price, exchange rates, and negatively respond to the shocks of oil price, interbank rate, and COVID-19 cases. Therefore, based on the study findings policy recommendations are made to mitigate the negative influence of the shocks variables on JCI return.
Akbar Pratama Kartika,Rossanto Dwi Handoyo People & Global Business Association 2024 Global Business and Finance Review Vol.29 No.1
Purpose: This research aims to specifically identify the role of ICT in the export performance of Indonesia's la-bor-intensive industries and Mapping potential market for Indonesia's labor-intensive industries export. Design/methodology/approach: The analysis was carried out by developing a gravity model and estimated using the Pseudo Poisson Maximum-Likelihood (PPML) and Generalized Method of Moment (GMM) methods as robust-ness tests. Findings: The estimation results show that ICT, both from the quantity aspect and the quality aspect, has a positive and significant impact on the volume of Indonesian exports. The results of this estimation have been proven to be consistent through several tests by controlling the problems of endogeneity, simultaneity, and auto-correlation. Research limitations/implications: The model developed in the study tends to interact with variables from both countries, namely Indonesia as an exporter country and a partner country for importing Indonesian products. The application of this kind of interaction causes the results of the interpretation to be unable to specifically explain the effect of variables in each country. Originality/value: This study discussed the impact of ICT through the quality and quantity aspects, this study also used product-level data, so the interpretation results more specifically explained the impact of ICT. Further analysis in this study also contributes significantly to identifying which partner has a potential market as the main destination of Indonesia's exports.