scholarly journals Bitcoin and Blockchain to Indonesia’s Economic Resilience: A Business Intelligence Analysis

JEJAK ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 188-202
Author(s):  
Palupi Lindiasari Samputra ◽  
Septia Zul Putra

Blockchain technology has been a phenomenal discovery since its use on Bitcoin, a crypto currency created by Satoshi Nakamoto. Featuring decentralization, it allows Bitcoin to escape the interference of third parties and governments. Departing from Keynesian Theory, this study used a mixed quantitative and qualitative approach. The econometric quantitative approach uses the Vector Error Correction Model (VECM) modeling to predict the impact of Bitcoin investment on Indonesia's transaction of capital. A qualitative approach is used to analyze the LOFT effects of Bitcoin on Indonesia's economic resilience. Unlike previous studies, this study attempts to provide an explanation from the standpoint of national resilience, especially in the field of economic resilience. VECM analysis found that Bitcoin had a significant positive effect on Indonesia's transaction of capital in both the short and long terms Even though the magnitude of the influence of bitcoin is relatively small, it needs to watch out for macro performance through capital transactions. Qualitative data indicate that there is a change of Bitcoin function in Indonesia, from a payment method, into an instrument of investment. The finding explains that Bitcoin has the potential to weaken the resilience of the Indonesian economy through a reduction in the balance of payments, while Blockchain can be the main foundation of the financial industry revolution in Indonesia.

Author(s):  
A. Korotkevich ◽  
Xiaoyun Xu ◽  
Ziming Xu

With the continuous development of China's economic level, accelerating industrial upgrading and transformation, building an innovative society has become a new development goal. Financial activities are closely related to economic development. Therefore, studying the impact of China's financial activities on technological innovation is of great significance. This article uses the data indicators in the field of financial activities and technological innovation in China from 2002 to 2018 to construct a vector error correction model (VEC), analyze the implicit correlation between financial activities and technological innovation, and study the promotion of technological innovation by financial activities and put forward policy recommendations to promote the development of China’s financial industry and enhance technological innovation.


Author(s):  
Sheereen Fauzel ◽  
Boopen Seetanah

Many African states are relying on or have identified tourism to accelerate their growth and the continent has become the world’s second fastest growing tourist industry. However, African states have also not been spared by increasing terrorism attacks during the past decades, probably hindering the growth of this sector to certain extent. This study examines the relationship between terrorism and tourism for a sample of selected African countries over the period 1995 to 2017. Given the dynamic nature of tourism demand and the possibility of endogenous relationships in the terrorism-tourism nexus, dynamic panel data analysis, namely a Panel vector error correction model (PVECM) is employed. The results confirm that terrorism negatively affects tourism demand in Africa and this can be explained by the reactive psychology of tourists to the various aggravated terrorist attacks in the countries. Moreover, the findings show that an increase in tourism may have resulted in an increase in terrorist attacks, hence confirming a bi directional causality between tourism and terrorism.


2021 ◽  
Vol 12 (2) ◽  
pp. 131-141
Author(s):  
Muhamad Yudi Setiawan ◽  
Tanti Novianti ◽  
Mukhamad Najib

The weakening of the Rupiah against the US dollar has encouraged Bank Indonesia to issued Bank Indonesia Regulation (Peraturan Bank Indonesia - PBI) No. 17/3/2015. The research aimed to analyze the factors that affected the Rupiah exchange rate, the effect of PBI No. 17/3/2015 on the movement of the Rupiah exchange rate, and the behavior of exchange rate movement to the shocks on the variables that influenced it. The research applied secondary data, namely monthly data from January 2008 to April 2019 taken from reliable sources such as National Development Planning Agency (Bappenas), Bank Indonesia (BI), and Statistics Indonesia (BPS). It was explanatory research with a quantitative approach. The studied data were processed with the Vector Error Correction Model (VECM) method to identify long and short-term effects. The results of the long-term equation show that export-import has a negative effect on the exchange rate. Similarly, inflation has no significant effect on the exchange rate. Then, the money supply has a significantly negative effect on the exchange rate. However, the interest rate of Bank Indonesia positively affects the exchange rate. Next, the implementation of PBI No. 17/3/2015 has a significant and positive impact on the exchange rate. Last, the crisis condition does not affect the changes in exchange rates.


2019 ◽  
Vol 4 (2) ◽  
pp. 117
Author(s):  
AYIF FATHURRAHMAN ◽  
FIRSHA RUSDI

This study aims to analyze the factors that affect the liquidity of Islamic banks in Indonesia. The analysis is carried out using sequential monthly data published by Bank Indonesia in the period 2010 to 2018. The variables used are internal factors (Capital Adequacy Ratio (CAR), Return On Assets (ROA)) and external factors (SBI Inflation and Interest Rates) ) The method used in this study is the Vector Error Corection Model (VECM). Based on the results of the study show that in the short term, the variable CAR, ROA, Inflation and SBI interest rates positively and significantly affect FDR. Whereas in the long term, the CAR variable and inflation have a significant positive effect on FDR, the ROA variable negatively influences FDR. And the variable SBI interest rate does not have a significant effect on FDR.


Ekonomika ◽  
2013 ◽  
Vol 92 (2) ◽  
pp. 64-78
Author(s):  
Gindra Kasnauskienė ◽  
Loreta Vėbraitė

Abstract. The impact of immigration on the labour market has become a very important subject of public and political debates in recent years. The aim of this study was to estimate the impact of immigration on the labour market of the United Kingdom in 1991–2010. Using a system of equations for immigration, unemployment, wage and gross domestic product, the structural vector error correction model and linear regression models were developed. The application of the structural vector error correction model has shown that immigration has a negative impact on the country’s labour market in the short run as it reduces real wages and increases unemployment. The linear regression models have indicated that immigration, ceteris paribus, negatively influencesunemployment and real wages in the long run.Key words: immigration, labour market, impact, short run, long run


2021 ◽  
Vol 67 (1) ◽  
pp. 147
Author(s):  
Panky Tri Febiyansah ◽  
Bintang Dwitya Cahyono ◽  
Rio Novandra

This paper aims to test the impact of uncertainty on the causal relationship among exports, imports, and economic growth in Indonesia. The relationship is constructed by examining the presence of FDI-adjusted exports and imports (trade) and the output link using conditional variances-covariances derived from the generalized autoregressive conditional heteroskedastic (GARCH) process in a vector error correction model (VEC-GARCH model). Using evidence in Indonesia, the model exposes the uni-directional nexus from trade performance to trade-adjusted output growth in the absence of uncertainty. The volatility effects are evident in the causal relationship between trade and output. The finding shows that the uncertainty effects hamper the trade-economic growth nexus. Incorporated with the long-run causality, trade still causes output even after containing the contributions of volatility. The significant role of imports highlights the higher demand for intermediate capital products and the inclusion of technology in strengthening economic growth.


2020 ◽  
Author(s):  
Sara Labrar ◽  
Adil Elmarhoum

Abstract The objective of this article is to study the external competitiveness of Morocco. To do so, we first make a sectoral analysis of Moroccan international trade. This analysis reveals the sectors and products in which Morocco should specialize, as well as the products in which Morocco has a strong export potential. Then, we study the impact of the introduction of price and cost competitiveness indicators in the export's equations of Armington (1969). Using a Vector Error Correction Model (VECM) estimated over the period 1988-2017. The principal results confirm that Moroccan external competitiveness can’t be measured only by the price factor. We also show that the competitiveness is also reflected with other factors like cost of production and quality.JEL Classification : C22, F14, F13, O55


2018 ◽  
Vol 2 (2) ◽  
pp. 156-175
Author(s):  
Hadiwiyono Hadiwiyono ◽  
Muhammad Firdaus ◽  
Lukytawati Anggraeni

Indonesia needed to be cautious of import surge since it has potential to influence import value and price in the era of trade globalization. The main purpose of this reasearch was to examine whether import surge occurred for horticulture commodities in Indonesia, especially for potato. The methods used for identifying occurrence of import surge was based on Special Safeguard Mechanism framework of World Trade Organization which will strengthened with Vector Error Correction Model to analyse the impact of import surge to domestic prices. Based on Special Safeguard Mechanism framework, volume-based Special Safeguard Mechanism triggered in almost all year during 2002-2012 but price-based Special Safeguard Mechanism is not triggered in those years. Based on Impuls Response Function analysis, the impact of import surge shock to domestic price was relatively low but occurred permanently. Based on Forecast Error Variance Decomposition analysis, import surge variables contributed slightly to the domestic price variability but it tend to increased as time. Keywords: Horticulture, Potato, Special Safeguard Mechanism, Import Surge, Vector Error Correction Model


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