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1. Structural Transformation and Economic Resilience: The Case of Malaysia

Author:
Cassey Lee
Publication Date:
05-2024
Content Type:
Working Paper
Institution:
Economic Research Institute for ASEAN and East Asia (ERIA)
Abstract:
Exports have been a critical source for the resilience of the Malaysian economy during the COVID-19 pandemic and post-pandemic period. Long-term structural change in intersectoral production networks could have reduced this resilience. Stronger domestic intersectoral linkages and declining participation in backward global value chain participation are likely to reduce the impact of positive export shocks on the country’s economy. The services sector has become increasing important over time. Consumption in the services sector is clearly an important driver of growth. A positive export shock is enhanced by higher domestic intersectoral linkages in the services sector but not in manufacturing.
Topic:
Economy, Exports, Macroeconomics, Services, Resilience, and COVID-19
Political Geography:
Malaysia, Asia, and Southeast Asia

2. Developing an International Macroeconomic Forecasting Model Based on Big Data

Author:
Sang-Ha Yoon
Publication Date:
06-2024
Content Type:
Policy Brief
Institution:
Korea Institute for International Economic Policy (KIEP)
Abstract:
In the era of big data, economists are exploring new data sources and methodologies to improve economic forecasting. This study examines the potential of big data and machine learning in enhancing the predictive power of international macroeconomic forecasting models. The research utilizes both structured and unstructured data to forecast Korea's GDP growth rate. For structured data, around 200 macroeconomic and financial indicators from Korea and the U.S. were used with machine learning techniques (Random Forest, XGBoost, LSTM) and ensemble models. Results show that machine learning generally outperforms traditional econometric models, particularly for one-quarter-ahead forecasts, although performance varies by country and period. For unstructured data, the study uses Naver search data as a proxy for public sentiment. Using Dynamic Model Averaging and Selection (DMA and DMS) techniques, it incorporates eight Naver search indices alongside traditional macroeconomic variables. The findings suggest that online search data improves predictive power, especially in capturing economic turning points. The study also compares these big data-driven models with a Dynamic Stochastic General Equilibrium (DSGE) model. While DSGE offers policy analysis capabilities, its in-sample forecasts make direct comparison difficult. However, DMA and DMS models using search indices seem to better capture the GDP plunge in 2020. Based on the research findings, the author offers several suggestions to maximize the potential of big data. He stresses the importance of discovering and constructing diverse data sources, while also developing new analytical techniques such as machine learning. Furthermore, he suggests that big data models can be used as auxiliary indicators to complement existing forecasting models, and proposes that combining structural models with big data methodologies could create synergistic effects. Lastly, by using text mining on various online sources to build comprehensive databases, we can secure richer and more real-time economic data. These suggestions demonstrate the significant potential of big data in improving the accuracy of international macroeconomic forecasting, particularly emphasizing its effectiveness in situations where the economy is undergoing rapid changes.
Topic:
Economics, Macroeconomics, and Data
Political Geography:
Asia and South Korea

3. Developing an International Macroeconomic Forecasting Model Based on Big Data

Author:
Sang-Ha Yoon
Publication Date:
06-2024
Content Type:
Policy Brief
Institution:
Korea Institute for International Economic Policy (KIEP)
Abstract:
In the era of big data, economists are exploring new data sources and methodologies to improve economic forecasting. This study examines the potential of big data and machine learning in enhancing the predictive power of international macroeconomic forecasting models. The research utilizes both structured and unstructured data to forecast Korea's GDP growth rate. For structured data, around 200 macroeconomic and financial indicators from Korea and the U.S. were used with machine learning techniques (Random Forest, XGBoost, LSTM) and ensemble models. Results show that machine learning generally outperforms traditional econometric models, particularly for one-quarter-ahead forecasts, although performance varies by country and period. For unstructured data, the study uses Naver search data as a proxy for public sentiment. Using Dynamic Model Averaging and Selection (DMA and DMS) techniques, it incorporates eight Naver search indices alongside traditional macroeconomic variables. The findings suggest that online search data improves predictive power, especially in capturing economic turning points. The study also compares these big data-driven models with a Dynamic Stochastic General Equilibrium (DSGE) model. While DSGE offers policy analysis capabilities, its in-sample forecasts make direct comparison difficult. However, DMA and DMS models using search indices seem to better capture the GDP plunge in 2020. Based on the research findings, the author offers several suggestions to maximize the potential of big data. He stresses the importance of discovering and constructing diverse data sources, while also developing new analytical techniques such as machine learning. Furthermore, he suggests that big data models can be used as auxiliary indicators to complement existing forecasting models, and proposes that combining structural models with big data methodologies could create synergistic effects. Lastly, by using text mining on various online sources to build comprehensive databases, we can secure richer and more real-time economic data. These suggestions demonstrate the significant potential of big data in improving the accuracy of international macroeconomic forecasting, particularly emphasizing its effectiveness in situations where the economy is undergoing rapid changes.
Topic:
GDP, Economic Growth, and Macroeconomics
Political Geography:
Asia, South Korea, and United States of America

4. China “De-risking”: A Long Way from Political Statements to Corporate Action

Author:
Ole Spillner and Guntram Wolff
Publication Date:
06-2023
Content Type:
Policy Brief
Institution:
German Council on Foreign Relations (DGAP)
Abstract:
Major Western leaders have been calling for “de-risking” from China, rather than “decoupling.” But what exactly de-risking means and how it differs from decoupling, remains unclear. It is ultimately firms, not governments, driving trade and investment relations. But firms cannot account for unidentified risks by themselves. National security risks are for governments to define. Complex supply chain externalities might entail risks to production that are also difficult for firms to account for. Furthermore, firms may bet that governments will rescue them if a worst-case scenario happens, effectively socializing risks. In the EU, Germany is particularly exposed to China risk in terms of security, macroeconomic, and political exposure.
Topic:
Security, European Union, Macroeconomics, Supply Chains, and Geoeconomics
Political Geography:
China, Europe, and Asia

5. China in Sub-Saharan Africa: Reaching far beyond natural resources

Author:
Amin Mohseni-Cheraghlou and Naomi Aladekoba
Publication Date:
03-2023
Content Type:
Policy Brief
Institution:
Atlantic Council
Abstract:
This work empirically examines China’s growing footprint in Sub-Saharan Africa’s investment, trade, cultural, and security landscape over the past two decades. It highlights China’s increasing appetite for Sub-Saharan Africa’s natural resources and growing young labor force—identifying the region’s consumer market as an important destination for Chinese goods and services over the next few decades. The analysis identifies more than 600 Chinese investments and construction contracts in Sub-Saharan Africa (SSA), valued at over $303 billion, signed between 2006 and 2020. Four sectors attract 87 percent of China’s investment and construction in the region: energy at 34 percent; transport, 29 precent; metals, 13 percent; and real estate, 11 percent. This is very similar to the Middle East and North Africa Region, where the energy sector attracts close to 50 percent of China’s investment, followed by transport, 19 percent; real estate, 15 percent; and metals, 6 percent. In terms of trade, this work shows that between 2001 and 2020, China’s merchandise trade with the region increased by a whopping 1,864 percent—surpassing SSA’s trade with both the United States and the European Union. In other words, from 2001 to 2020, China’s share in total merchandise trade in SSA rose from 4 percent to 25.6 percent, while during the same period, the shares of the United States and the EU in SSA’s total trade declined by 10 percentage points and 8 percentage points, respectively. The report also takes a look at China’s arms trade with the region. Twenty-two percent of SSA’s arms imports are sourced from China, making China the region’s second-largest supplier of arms and military equipment, with Russia in the lead (24 percent). Finally, the report highlights the fact that the size of Chinese migrants in Africa is estimated at one to two million, with around one million permanently residing in the region. The largest numbers are in Ghana, South Africa, Madagascar, Zambia, and the Democratic Republic of the Congo.This work is the first in a series of empirical analyses that will be conducted on China’s presence in developing economies and low-income countries.
Topic:
Natural Resources, Economy, Business, Economic Growth, Macroeconomics, Trade, and Inclusion
Political Geography:
Africa, China, Asia, and Sub-Saharan Africa

6. Prediction Errors of Macroeconomic Indicators and Economic Shocks for ASEAN Member States, 1990‒2021

Author:
Masahito Ambashi, Fusanori Iwasaki, and Keita Oikawa
Publication Date:
05-2022
Content Type:
Working Paper
Institution:
Economic Research Institute for ASEAN and East Asia (ERIA)
Abstract:
In this study, economic shocks on six selected Association of Southeast Asian Nations (ASEAN) Member States (i.e. Indonesia, Malaysia, the Philippines, Singapore, Thailand, and Viet Nam) are analysed in three dimensions: global, domestic, and uncertainty. Annual actual and prediction values from 1990–2021 macroeconomic indicators – from international organisations such as the Asian Development Bank – were collected, and macroeconomic shocks were calculated based on prediction errors (i.e. actual values minus prediction values). The first finding is that if prediction errors of the real gross domestic product (GDP) growth rates are negative, on average, the countries were significantly subjected to negative economic shocks that were not anticipated. Second, according to a correlation analysis of the actual values and prediction errors of real GDP growth rates, economic fluctuations and shocks are highly synchronised within the countries as well as with the world, as previous literature has indicated. Finally, by conducting regression analyses regarding the prediction error of real GDP growth rates separately for each country, (i) variations of the global real GDP growth rate are positively associated with countries’ economic shocks; (ii) the previous estimates have different quantitative significance amongst the countries; (iii) residual variations approximate country-specific, domestic shocks; and (iv) global and country-level uncertainty indices are correlated with negative economic shocks in some countries. Based on this dataset, the effect of the COVID-19 pandemic is also reviewed, and economic and historical backgrounds are examined that caused past economic shocks to these ASEAN Member States.
Topic:
Economics, Regional Cooperation, Macroeconomics, and Economic Cooperation
Political Geography:
Asia and ASEAN

7. The Impact of Immovable Property Tax on the Macro Economy

Author:
Young Sik Jeong, Eunjung Kang, Jinhee Lee, Kyunghun Kim, and Jeehye Kim
Publication Date:
01-2022
Content Type:
Policy Brief
Institution:
Korea Institute for International Economic Policy (KIEP)
Abstract:
Since the 2008 global financial crisis, inequality has been increasing worldwide. In particular, wealth (asset) inequality is getting worse than income inequality. And Korea is no exception. This deepening of inequality is more worrisome in that it leads to inequality of opportunity while suppressing movement between classes, which in turn deepens inequality, creating a vicious cycle of inequality. This is a bigger problem than the inequality itself. The international communities are calling for stronger property taxes, including recurrent taxes on immovable property, as part of mitigating inequality and promoting inclusive growth. In Korea, there is heated discussion on property taxes, such as recurrent taxes on immovable property including the comprehensive real estate tax. Therefore, this study aims to investigate policy directions in international organizations and major countries on immovable property tax and examine the effect of property tax on the macro economy. This study examine international comparisons of immovable property tax burdens using OECD data. Next, this study analyzes the effect of immovable property tax on housing prices, inequality, and economic growth. Finally, we suggest policy implications to Korea through this. Based on our results, we present policy implications for Korea.
Topic:
Inequality, Tax Systems, Macroeconomics, and Wealth
Political Geography:
Asia and South Korea

8. Istanbul Journal of Economics: Volume 72 Issue 2

Author:
Gökhan Karabulut
Publication Date:
06-2022
Content Type:
Journal Article
Journal:
Istanbul Journal of Economics
Institution:
Istanbul University Faculty of Economics
Abstract:
Istanbul Journal of Economics-İstanbul İktisat Dergisi is an open access, peer-reviewed, scholarly journal published two times a year in June and December. It has been an official publication of Istanbul University Faculty of Economics since 1939. The manuscripts submitted for publication in the journal must be scientific and original work in Turkish or English. Being one of the earliest peer-reviewed academic journals in Turkey in the area of economics, Istanbul Journal of Economics-İstanbul İktisat Dergisi aims to provide a forum for exploring issues in basicly economics and publish both disciplinary and multidisciplinary articles. Economics is the main scope of the journal. However, multidisciplinary and comparative approaches are encouraged as well and articles from various social science areas such as sociology of economics, history, social policy, international relations, financial studies are welcomed in this regard. The target group of the journal consists of academicians, researchers, professionals, students, related professional and academic bodies and institutions.
Topic:
Economics, Islam, Religion, Communications, Natural Resources, Finance, Internet, Economic Growth, Macroeconomics, Currency, Unemployment, Sustainability, COVID-19, BRICS, Labor Market, Economic Stability, Consumer Behavior, Rent-seeking, Energy, and Wages
Political Geography:
Europe, Turkey, and Asia

9. Does Station Name Matter?: Rent Seeking Behavior and Its Impact on Housing Prices

Author:
Hwiwon Seo and Minsik Choi
Publication Date:
01-2022
Content Type:
Working Paper
Institution:
Political Economy Research Institute (PERI), University of Massachusetts Amherst
Abstract:
The purpose of this study is to investigate the effect of rent-seeking behavior for public goods on housing prices. To do so, we analyzed the case of renaming the Sinchoeon station to Jamsilsaenae station for the Seoul Metro Green line by applying the rent seeking theory and estimated the effect of the event on the housing prices of the affected neighborhood. The hedonic pricing model adopted by related studies does not produce unbiased estimates due to the endogeneity resulted from omitted variables including compounding macroeconomic variables. By developing a new dataset, we used the difference in differences regression method that produces more precise and unbiased estimates. Our results show that the housing prices affected by the renaming event increased by around 5% compared to those of non-affected neighborhood. Our analytical results can shed light on understanding related rent seeking behaviors for public goods provision.
Topic:
Economy, Macroeconomics, Housing, and Rent-seeking
Political Geography:
Asia and Korea

10. Macroeconomic Determinents of Crime in South Asian Countries: A Panal Data Approach

Author:
Rana Hazma Gull, Kauser Perveen, and Amber Bakhsh Basit
Publication Date:
07-2020
Content Type:
Journal Article
Journal:
South Asian Studies
Institution:
Department of Political Science, University of the Punjab
Abstract:
This research explores the economic determinants of crime in case of a panel of South Asian countries (Pakistan, India, Sri Lanka and Bangladesh). To empirically determine the relationship between crime and its determinants, data for the concerned variables are collected for the period of 2003 to 2017 from different sources like World Development Indicator (WDI), National Police Survey and UNESCO. In this study, education, economic growth, population and unemployment are used as the determinants of crime. To find out the relationship Random Effect Model (REM) and Fixed Effect Model (FEM) models are constructed. After applying diagnostic test, it is found that Fixed Effect Model is appropriate. But the FEM model violates the assumptions of classical linear regression model (CLRM) because there is hertoscedasticity and autocorrelation problem in the data. To robust these problems, feasible generalized least square (FGLS) model has been applied. The results of FGLS revealed that education has negative and significant impact on crime. Contrary, population, economic growth and unemployment have positive and significant impact on crime. The study recommends that government should give preference to education sector. On the other hand, government should control the population growth and unemployment rate.
Topic:
Crime, Education, Economic Growth, Economic Theory, Macroeconomics, and Models
Political Geography:
South Asia and Asia