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This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious mixture modeling that allows for fat-tailed errors compared to the normal benchmark case. Applying robust model averaging to growth determinants, the paper finds that eight out of eighteen variables found to be significantly related to economic growth by Sala-i-Martin et al. (2004) are sensitive to deviations from benchmark model averaging. For example, the GDP shares of mining or government consumption, are no longer robust or economically significant once deviations from the normal benchmark assumptions are allowed. The paper identifies outlying observations - most notably Botswana - in explaining economic growth in a cross-section of countries.

This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious mixture modeling that allows for fat-tailed errors compared to the normal benchmark case. Applying robust model averaging to growth determinants, the paper finds that eight out of eighteen variables found to be significantly related to economic growth by Sala-i-Martin et al. (2004) are sensitive to deviations from benchmark model averaging. For example, the GDP shares of mining or government consumption, are no longer robust or economically significant once deviations from the normal benchmark assumptions are allowed. The paper identifies outlying observations - most notably Botswana - in explaining economic growth in a cross-section of countries.

This study aims to analyze the determinants of economic growth in China for the period 1980-2020. The benefits of this research are expected to be input for the Chinese government. The data used are time-series data from 1980-to 2020. The analytical tool used is multiple regression with the Ordinary Least Square (OLS) method. The results show that the unemployment rate has a negative and significant effect on China's economic growth, the contribution of industry and the level of exports has a positive and significant impact on China's economic growth. Meanwhile, inflation has a negative and insignificant effect on China's economic growth in 1980-2020. As well as the joint influence of the variable unemployment rate, industry contribution, export rate and inflation on economic growth. The determinant coefficient of 83.8% can be explained by the independent variable on the dependent variable, and the rest is explained by other variables outside the model studied. Penelitian ini bertujuan untuk menganalisis determinan pertumbuhan ekonomi di Negara China periode 1980-2020. Manfaat penelitian ini diharapkan menjadi bahan masukan pemerintah Negara China. Data yang digunakan berupa data time series dari tahun 1980-2020. Alat analisis yang digunakan adalah regresi berganda dengan metode Ordinary Least Square (OLS). Hasil penelitian menunjukkan bahwa tingkat pengangguran memiliki pengaruh negatif dan signifikan terhadap pertumbuhan ekonomi China, kontribusi industri dan tingkat ekspor memiliki pengaruh positif dan signifikan terhadap pertumbuhan ekonomi China. Sedangkan untuk inflasi memiliki pengaruh negatif dan tidak signifikan terhadap pertumbuhan ekonomi China tahun 1980-2020. Serta adanya pengaruh secara bersama-sama variabel tingkat pengangguran, kontribusi industri, tingkat ekspor dan inflasi terhadap pertumbuhan ekonomi. Koefisien determinan 83,8% dapat dijelaskan oleh variabel independen terhadap variabel dependen, dan sisanya dijelaskan oleh variabel lain diluar model yang diteliti.

This research examines the impact of government expenditure and a few other factors on long-term economic growth in Indonesian provinces. This research is based on a panel data analysis of 26 provinces from 2000 to 2018. The data passed the stationarity test using Madalla and Wu's suggested Augmented Dickey Fuller (ADF) - Fisher test for panel data (1999). As a result, data at the first difference level is stagnant. The coefficient on real government expenditure is highly positive, according to this study. This indicates that government expenditure has a significant impact on Indonesia's economic growth. The impact of total government spending is examined in this study.

This paper uses the adaptive Lasso estimator to determine the variables important for economic growth. The adaptive Lasso estimator is a computationally very simple procedure that can perform at the same time model selection and consistent parameter estimation. The methodology is applied to three data sets, the data used in Sala-i-Martin et al. (2004), in Fernandez et al. (2001) and a data set for the regions in the European Union. The results for the former two data sets are similar in several respects to those found in the published papers, yet are obtained at a negligible fraction of computational cost. Furthermore, the results for the European regional data highlight the importance of human capital for economic growth.

This paper uses the adaptive LASSO estimator to determine the variables important for economic growth. The adaptive LASSO estimator is a computationally very simple procedure that performs at the same time both consistent parameter estimation and model selection. The methodology is applied to three data sets, the data used in Sala-i-Martin et al. (2004), in Fernandez et al. (2001) and a data set for the regions in the European Union. The results for the former two data sets are very similar in many respects to those found in the published papers, yet are obtained at a tiny fraction of computational cost. Furthermore, the results for the regional data highlight the importance of human capital for economic growth.

Intro -- Laudation -- Foreword -- Contents -- Dean Spinanger: From Sandlots to the Big League: Some Thoughts on Why East Asia Has Been Winning -- I. Introduction and Overview -- II. Making It to the Big League: the Essentials -- III. Beyond the Essentials: Locational Factors -- IV. Barriers against Exports: A Boon in Disguise? -- V. Returning to the Introduction: Concluding Remarks -- VI. References -- F. Stefan Winter/Sigrid Zirbel: Internationalization and Globalization in the 1990s -- I. Introduction -- II. The Asian Challenge -- III. The Growing Role of Asia in a Global World Economy -- IV. Changes in the Structure of the Global Economy -- V. Impact of the 'Pacific Era' -- VI. New Fonns of International Competition -- VII. The Future of International Economic Relations - Globalization versus Regionalization -- VIII. Requirements Placed on a Future International Trade System -- IX. References -- Simon Koppers: Development Planning in East and Southeast Asian Economies -- I. Introduction -- II. Development Plans -- III. The Motivation Behind the Plans -- IV. Drawing up of the Plans -- 1. Complexity and Simplicity -- 2. Subjectivity -- 3. Uncertainty -- V. lmplementation of the Plans -- VI. Evaluation of the Plans -- VII. Final Comments -- VIII. References -- Rolf J. Langhammer: Competing for Foreign Direct Investment: The Performance of East and Southeast Asian Countries in the 1980s -- I. lntroduction -- II. Asian Countries' Performance in Competition for Foreign Direct Investment -- lll. The Relative Attractiveness of Asian Host Countries to Japanese Foreign Investment in Selected lndustries -- IV. Levels and Changes in Japanese Investment in Asian Hosts: Some Stylised Demand-Side Explanations -- V. Summary -- VI. References.

The aim of our paper was to construct a model of economic growth determinants
for old and new EU and the EU28 countries. We used a strongly balanced panel
in the period from 2000 to 2020 and regression equations. For the old EU
group, our results showed a high level of statistical significance and a
positive effect of gross fixed capital formation, trade openness, government
consumption, and population on GDP growth during the observation period. In
the new EU group, trade openness, political stability, and government
consumption are significant and positively affect economic growth. When we
included the moment of accession of new EU members in the analysis, our
results showed that gross fixed capital formation, trade openness, political
stability, and government consumption had a statistically significant and
positive influence on the GDP growth rate. Interestingly, our results did
not confirm the expected positive impact of foreign direct investments and
renewable energy consumption on economic growth in our sample countries. We
found that the crisis is statistically significant and negatively affected
the GDP growth rate in both groups with a stronger impact in new EU
countries. We conclude our article with policy implications and
recommendations for future research.