The increase of export value of creative industry in the middle of the declining export value of Indonesia's leading commodities during the period of 2011 to 2015 indicates that the creative industry potentially encourages the economic growth in Indonesia. This study aims to observe the linkages of creative industries, both forward and backward linkages, with other sectors in the economy. This study also examines the impacts of the increasing export on the fashion and craft sectors, as the two largest contributors to the export of creative industries, towards the Indonesian economy. Applying the Input-Output approach, the influence of the export of fashion and craft sectors towards the Indonesian economy is seen from the multiplier effects on the increasing value added, community income and labor absorption. The results show that fashion exports increased the national value added by 0.06%; community income 0.06% and employment 0.11%. Similarly, craft exports increased the national value added by 0.05%; income by 0.05% and employment by 0.11%. The largest increase is in the labor absorption; this is because the fashion and craft sectors are labor intensive sectors.
Indeks Daya Saing Daerah (IDSD) merupakan instrumen pengukuran daya saing pada tingkat provinsi dan kabupaten/ kota yang dilakukan oleh Badan Riset dan Inovasi Nasional (BRIN). Tujuan dari pengukuran IDSD ini adalah untuk memperoleh sebuah ukuran daya saing daerah yang komprehensif yang dapat merefleksikan tingkat produktivitas daerah. Pengukuran IDSD 2022 merupakan kelanjutan dari IDSD yang telah diinisiasi oleh Kementerian Riset, Teknologi dan Pendidikan Tinggi sejak tahun 2017 hingga 2021. IDSD 2022 menggunakan konsep dan metode pengukuran yang baru, yaitu dengan mengadopsi kerangka pengukuran Global Competitiveness Index (GCI) 2019 dari World Economic Forum, yang disesuaikan dengan konteks daerah di Indonesia. Dengan kerangka ini maka IDSD 2022 selaras dengan GCI sehingga bisa digunakan stakeholder global untuk mengukur GCI bagi Indonesia. Kerangka pengukuran IDSD 2022 terdiri dari empat komponen yang dielaborasi ke dalam 12 pilar daya saing. IDSD 2022 hanya menggunakan data sekunder yang bersumber dari kementerian/lembaga (K/L). Penyusunan IDSD 2022 dilaksanakan melalui tujuh tahapan, yaitu menyusun kerangka konseptual, mengidentifikasi indikator, mengumpulkan data, mengolah data, melakukan standardisasi data, pembobotan pilar daya saing, dan menghitung skor akhir dengan agregasi. Pengukuran IDSD 2022 ini mencakup 34 provinsi dan 514 kabupaten/kota di Indonesia. Jumlah indikator IDSD yang digunakan sebanyak 62 indikator untuk provinsi dan 48 indikator untuk kabupaten/kota.
Economists argue that the growth of GDP per capita in a country is greatly influenced by the growth inelectricity consumption in that country. The meaning of this statement is that if you want to increaseGDP per capita, the important thing that needs to be done is to increase the electricity supply capacity.Empirical data shows that every 1 kWh (kilowatt-hour) of electricity consumption contributes about $ 4 -$ 5 to GDP. Another study also states that every 1000 MW of installed capacity will contribute to a GDPof around $ 16 billion or equivalent to Rp. 200 trillion. Therefore, if Indonesia wants to become a countrywith the fifth-largest economy in the world with a GDP of $ 5.420 trillion in 2030, then one way that canbe taken is to increase the capacity of electricity resources to a minimum of 120,000 MW in 2025(RUEN, 2017). This background underlies the analysis of the relationship between the growth of theelectricity sector and the growth of the national economy. The analysis method that will be used is theanalysis of the economic impact with the Input-Output (I-O) method. Furthermore, the I-O table usedfor analysis is the 2014 creative economy I-O table. Based on the results of the study analysis, it isstated that the sub-sector that has high leverage is the sub-sector for electricity supply. However, tohave an impact on the national economy caused by the growth of the electricity sector, it is alsonecessary to develop the five sub-sectors holistically. The results of this study are expected to provideinput for stakeholders in formulating policies for the development of the electricity sector as an effort toachieve the target of advanced Indonesia in 2030.
This paper presents spatial linkages on calculations of spill-over and feed-back effects of World input-output tables, which is aggregated specifically into six-Asian countries includes China, Indonesia, India, Japan, Korea, and Taiwan, plus Australia, United States, and the Rest of the World. The results showed that, firstly output multipliers in six Asian countries tend to increase during 2000–2014, indicating a consistent economic growth. Secondly, except China, output multipliers occurred in other countries tend to increase. Thirdly, in 2000, the United States and Japan were two countries receiving highest output spill-over. However, in year 2014, most of output spill-over moved to China. India and Indonesia received only small part of spill-over from other countries. Fourthly, the highest feed-back effect occurred in China and Japan. The smallest feed-back effect occurred in India and Indonesia. China had smallest spill-over effect but received the highest feed-back effect. ------------------------------------------- Artikel ini menyajikan hasil analisis keterkaitan spasial di enam negara Asia, berdasarkan perhitungan efek limpahan dan efek balik pada tabel input-output dunia, yang diagregasikan untuk enam negara Asia, yang meliputi Cina, Indonesia, India, Jepang, Korea, dan Taiwan ditambah Australia, Amerika Serikat, dan the Rest of the World. Hasil analisis memperlihatkan bahwa, pertama, pengganda output di enam negara Asia cenderung meningkat dalam waktu 2000–2014. Ini merupakan indikasi pertumbuhan ekonomi yang konsisten. Kedua, kecuali di Cina, efek limpahan juga cenderung meningkat. Ketiga, tahun 2000, negara yang paling besar menikmati limpahan adalah Amerika Serikat dan Jepang, tetapi tahun 2014, limpahan terbesar beralih ke Cina. Keempat, efek balik yang terbesar terjadi di Cina dan Jepang. Efek balik terkecil terjadi di India dan Indonesia. Cina mempunyai efek limpahan terkecil tetapi menerima efek balik terbesar.
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