In a green economy, growth in income and

Digitalization has become relevant nowadays, not only because of the exposure of new technologies but also the consideration of its impact on the economy. In that regard, this study aims to analyze the effect of digitalization on economic growth. This study uses a descriptive analysis of the eight ASEAN middle-income countries from 1999 to 2014 as well as panel regression analysis with the dependent variable of GDP per capita growth and independent variables of physical capital, human capital, and ICT indicators. As a result, ICT indicators have a significant positive impact on economic growth, along with physical and human capital. The usage and intensity of ICT have a higher impact than access to ICT. Furthermore, human capital contributes the most among the other variables. We recommend the countries invest more in human capital to utilize ICT because it is the quality of human capital that matters to navigate the era of the digital economy.

This research explores the role of the tourism sector in Indonesia, including its backward and forward linkages with other economic sectors. The tourism sector is represented by the hotel and restaurant (hospitality) industry. The study uses the input-output method and traces the econometric backward and forward shocks of the tourism sector with the Error Correction Model (ECM), using database from Statistics Indonesia from 2010 to 2019. The paper contributes to the existing literature by using multi-stage quantitative processes to observe backward and forward economic linkages. The result shows that manufacturing output contributes a significant and positive effect to the hotel and restaurant industry. At the same time, the tourism sector provides a significant and positive contribution to government retribution. Nonetheless, there is a negative relationship between the growth of the agriculture and tourism sector, which is assumed due to the tradeoff in the factor of production between the agricultural and tourism sector development. Consequently, backward and forward relationships suggest more holistic and prudent economic policies for observing interdependent tourism development in Indonesia's other economic sectors. ABSTRAKTujuan penelitian ini adalah menginvestigasi keterkaitan ke belakang dan ke depan antara sektor pariwisata dan sektor ekonomi lain di Indonesia. Pariwisata di sini di wakili sektor perhotelan dan restoran. Studi ini menggunakan metode input-output dengan data berasal dari database input output Bank Pembangunan Asia (ADB). Kedua, studi menelusuri  keterkaitan ekonometrik ke depan dan ke belakang pariwisata dengan model koreksi kesalahan (ECM), menggunakan data triwulan dari PDB riil di database BPS dari tahun 2010 hingga 2019. Kontribusi makalah ini adalah proses multi-asesment untuk mengamati keterkaitan ekonomi ke belakang dan ke depan antara pariwisata dengan sektor ekonomi lainnya. Dari ekonometri tersebut, diketahui bahwa kontribusi output industry manufaktur berpengaruh signifikan dan positif terhadap industri hotel dan restoran. Selain itu, pariwisata memberikan kontribusi yang signifikan dan positif untuk retribusi pemerintah. Meskipun demikian, peningkatan output pariwisata datang dengan pengorbanan pengurangan output sektor pertanian. Hal ini dipengaruhi oleh kompetisi akses faktor produksi di antara kedua sektor tersebut. Hasil ini  menekankan perlunya kebijakan ekonomi yang lebih holistik dan hati-hati terhadap saling ketergantungan antara pembangunan pariwisata dengan sektor ekonomi lain di Indonesia.

The role of Foreign Direct Investment (FDI) has only grown in tandem with globalization, as it plays a dual function by improving capital accumulation whilst simultaneously growing total factor yield, which puts it at an advantage over foreign aids and foreign portfolio investments. Using panel data from 34 Indonesian provinces over the 2015 - 2019 period, this research examined the determinants of provincial FDI and its impact on regional economic development in Indonesia. The random effect method with robust standard error was used to regress the model, and the variables found to be positively significant were the ratio of industrial value added for micro sized firms to regional GDP, as well as the growth rate of industrial value added for small sized firms. Our analysis revealed that micro-sized firms tend to have much higher industrial value added compared to small-sized firms, and that these firms tend to cluster in Western Indonesia. The role of the government should be to foster the growth and competitiveness of small and micro-sized firms, especially for regions where the industrial value added is still low. Further study is suggested on the determinants of industrial value added at the provincial level, as well as more comprehensive research on FDI determinants with a larger dataset.

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