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DETERMINAN KINERJA INDUSTRI TPT INDONESIA Nada, Haya Marshella Lifnatin; Hermawan, Iwan; Rambe, Khoiru Rizqy; Nugraheni, Reninta Dewi; Zuhdi, Fadhlan; Isnasari, Yovita; Asshagab, Sri Milawati
Jurnal Ekonomi Pembangunan Vol 12 No 1 (2023): Volume 12 Nomor 1 Tahun 2023
Publisher : Fakultas Ekonomi dan Bisnis Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jep.v12i1.1483

The textile and textile product (TPT) industry is a leading industry for national economic growth. The existence of its performance relies on various factors that turn out to be vulnerable to fluctuations, including the fulfillment of raw materials in the form of cotton fiber from import dominance. Therefore, disruption of the performance of the textile industry will also stimulate disruption to Indonesia's economic growth. This study aims to analyze the determinants of the development of textile industry performance. For this reason, a quantitative approach is used with econometric models prepared based on the Cobb-Douglas theory of production functions. The model construction uses secondary time series data for the period 1992-2021 sourced from the World Bank, Bank Indonesia, the International Monetary Fund (IMF), and the Central Statistics Agency (BPS). The findings show that the terminology of the development of the performance of the Indonesian textile industry includes capital, labor absorption, world cotton fiber prices, inflation, textile exports, the Covid-19 pandemic, and the global food crisis in 2007/2008. Therefore, several policy recommendations were submitted to encourage more massive TPT machine restructuring programs, improve the skills of TPT human resources (HR), provide incentives for Local Ease of Export Destinations (KLTE), and re-intensify the #banggabuatanindonesia campaign.

Keunggulan Kompetitif Produk Pangan-Pertanian ASEAN-5 Selama 20 Tahun: Perubahannya Melalui Krisis Nugraheni, Reninta Dewi; Sabilla, Kanetasya
Jurnal Ekonomi dan Pembangunan Indonesia
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

This study aims to assess the competitive advantage of foreign trade in agri-food products of five Association of South East Asia Nations (ASEAN) countries, namely Indonesia, Malaysia, Thailand, Singapore, and the Philippines between 2003–2022 by dividing the period into the global crisis in 2009, the trade war between China and the United States (US) in 2018, and the COVID-19 pandemic in 2020. The study built an econometric model using the Revealed Comparative Advantage (RCA) and Revealed Symmetric Comparative Advantage (RSCA) indicators. It was found that the value of the RSCA distribution for the five countries has changed significantly over the years of analysis. Shocks in four countries resulted in significant changes in the competitive advantage of agri-food goods. The RSCA distribution results of Singapore and the Philippines could survive compared to other countries in the event of a global economic shock.

DETERMINANTS AND CLASSIFICATIONS OF ONLINE SHOPPING CONSUMERS"™ PURCHASE INTENTION IN INDONESIA Nugraheni, Reninta Dewi
Jurnal Ekonomi Bisnis dan Kewirausahaan Vol 13, No 1 (2024): Jurnal Ekonomi Bisnis dan Kewirausahaan (JEBIK)
Publisher : Fakultas Ekonomi dan Bisnis, UNTAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jebik.v13i1.61399

Online shopping is still growing significantly, which is an upward trend for e-commerce platforms. It has grown in popularity among consumers for a number of reasons, driving Indonesian consumer behavior. This study aims to identify determinants and classifications of Indonesian online shopping consumers"™ purchase intention using the decision tree methodology. The notion underpinning this study is the phenomena of online shopping as a consumer behavior transition in Indonesia which has increased gradually over the last decades. The data was collected using a structured questionnaire and 820 respondents participated in this study. Then, the data was analyzed using C5.0 and CART 5.0 algorithms. The results show that the most influential determinants of the frequency of online shopping include the consumers"™ occupation, choice of e-commerce platforms, product origin, and product quality. The influence of several factors on customers' intentions to engage in shopping online can be determined, including job status, e-commerce platform, product sources, and product quality.JEL: L81, L86, Q5.

DETERMINAN KINERJA INDUSTRI TPT INDONESIA Nada, Haya Marshella Lifnatin; Hermawan, Iwan; Rambe, Khoiru Rizqy; Nugraheni, Reninta Dewi; Zuhdi, Fadhlan; Isnasari, Yovita; Asshagab, Sri Milawati
Jurnal Ekonomi Pembangunan Vol 12 No 1 (2023): Volume 12 Nomor 1 Tahun 2023
Publisher : Fakultas Ekonomi dan Bisnis Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jep.v12i1.1483

The textile and textile product (TPT) industry is a leading industry for national economic growth. The existence of its performance relies on various factors that turn out to be vulnerable to fluctuations, including the fulfillment of raw materials in the form of cotton fiber from import dominance. Therefore, disruption of the performance of the textile industry will also stimulate disruption to Indonesia's economic growth. This study aims to analyze the determinants of the development of textile industry performance. For this reason, a quantitative approach is used with econometric models prepared based on the Cobb-Douglas theory of production functions. The model construction uses secondary time series data for the period 1992-2021 sourced from the World Bank, Bank Indonesia, the International Monetary Fund (IMF), and the Central Statistics Agency (BPS). The findings show that the terminology of the development of the performance of the Indonesian textile industry includes capital, labor absorption, world cotton fiber prices, inflation, textile exports, the Covid-19 pandemic, and the global food crisis in 2007/2008. Therefore, several policy recommendations were submitted to encourage more massive TPT machine restructuring programs, improve the skills of TPT human resources (HR), provide incentives for Local Ease of Export Destinations (KLTE), and re-intensify the #banggabuatanindonesia campaign.

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