Measurement Method and Application of a Deep Learning Digital Economy Scale Based on a Big Data Cloud Platform

In recent years, with the acceleration of the process of economic globalization and the deepening of my country's financial liberalization, the scale of international short-term capital flows has been extremely rapid. This article mainly studies the deep learning digital economy scale measurement method and its application based on the big data cloud platform. This article uses the indirect method to estimate the stock of renminbi circulating abroad. The results show that the application of big data cloud platforms can increase the development share of digital media and digital transactions in the digital economy, and optimize the structure of China's digital economy.

Spatio-Temporal Impact of Global Migration on Carbon Transfers Based on Complex Network and Stepwise Regression Analysis

Considering the advancement of economic globalization, the reasons for migration together with the lifestyles of migrants will change the use of energy, environment of origin and destination. This study therefore explores the patterns of global trade-induced carbon emission transfers using “center-of-gravity” and complex network analysis. We further investigate the determinants of carbon transfers by integrating the impact of population migration through the STIRPAT framework for 64 countries over the period 2005–2015 using the stepwise regression approach. Our results unveil that higher levels of migration flow induce higher carbon flow. Specifically, every 1% increase in migration, triggers carbon transfers to increase within the range of 0.118%−0.124%. The rising impact of migration cannot be ignored, even though the coefficients were not so high. Besides, for both male and female migrants, their impact on carbon transfers generated by the intermediate products were higher than those generated by the final products. However, the influence is more obvious in male migrants. With the aim of dividing the sample of countries into three income groups, the results generally show that the impacts of migration vary across levels of income. Therefore, the environmental pressure caused by immigration should be considered by destination countries in the formulating of migration policies. On the other hand, origin countries should take some responsibility for carbon emissions according to their development characteristics.

Nationalism and Populism as the Driving Forces of Economic Deglobalization, Regionalism, and Localism Processes

The aim of this chapter is to analyze nationalism and populism as the driving forces of economic deglobalization processes and regionalism. The analysis departs from the assumption that the economic deglobalization processes respond to more complex dynamic forces created by the economic, financial, and the most recent sanitary crisis that blocks the continuity of economic globalization. Moreover, at the center of the analysis is the conceptualization that both globalization and deglobalization are two faces of the same coin, but with opposite driving forces. These driving forces of deglobalization lead to regional and more local solutions to economic growth and social and environmental problems.

Sustainable Fourth Industrial Revolution

The sustainable revolution constitutes a multiscalar process characterized by gradual interconnection and digitization in economic globalization. This work confronts the discourses derived from this socioeconomic process with the biophysical limits of the planet through the analysis of the material requirements of the basic infrastructure necessary for the technologies of the Fourth Industrial Revolution. Through the study of the discourses and the current situation of natural resources, 13 metals have been identified whose availability in the next 30 years constitutes the limiting factors for the effective deployment of the technologies of this process. In this situation, the theoretical foundations of future potential are established where techno-optimistic and degrowth discourses coexist through uneven development, making sustainability a characteristic based on exclusivity.

Research on the Performance Appraisal of Human Resources in Public Institutions

Under the background of economic globalization, the rapid development of the society and the intricate changes also require a leap in the economy and management level. For state-owned institutions, it is of great significance to maximize the enthusiasm of employees and managers as well as establish a scientific and efficient performance appraisal mechanism. This paper analyzes the existing problems and deficiencies of performance appraisal in public institutions and puts forward corresponding optimization countermeasures and plans.

Analysis on the Impact of Economic Globalization on Human Development and Economic Growth in the ASEAN-4

Economic globalization has made economies fruitful; however, a few studies argued that its impact on human development is not at par with economic growth’s advancements. With this, the effect and difference of economic globalization in terms of Trade, Foreign Direct Investment (FDI), and Foreign Portfolio Investment (FPI) on Human Development Index (HDI) and Gross Domestic Product (GDP) per capita were examined among the ASEAN-4 nations, namely, Indonesia, Malaysia, Philippines, and Thailand conjointly from 1990 to 2019. Multiple regression was used to estimate the parameters and significance of the models. Results have proved that the predictors, collectively, have a positive and statistically significant effect on GDP and the HDI. However, the data showed that linear regression of GDP per capita at 51.21% has more variation than HDI at 35.95%, which could mainly be due to that human development is highly influenced by other factors such as demand political freedom and prioritization of human rights, while the preferred subset still has the three variables altogether. Yet there were sub predictors towards GDP per capita that showed a partial effect except for FDI and FDI+FPI. This might be caused by its unidirectionality and volatility in investing.

Effectiveness of Globalization and Human Capital on Market & Net Income Inequality in NEXT11 Countries: A Panel Data Analysis

This study scrutinizes the impact of defacto and dejure GLOB (KOF GLOB index 2018) on Income inequality on economically emerging countries; NEXT11 countries. The defacto GLOB indicates the estimate of GLOB including variables representing activities and flows; de jure estimate includes variables which show policies representing enable flows and activities. Our analysis separates the impact of globalization on net and market income inequalities. Pretax/transfer and the post-tax/transfer GINI indices were employed as the measures of income inequality. This analysis used balanced panel for NEXT11 countries for the period 1990-2015. Economic globalization both defacto and dejure showed positive sign that depicts a significant relationship with dependent variable. It explains that defacto political has positive sign and dejure political globalization decreases inequality while economic globalizations in both divisions have positive sign and significant impact on inequality. Interestingly, defacto social globalization has positive sign but dejure social has positive sign. Moreover, the purchasing power parity and age dependency both have negative sign and significant influence on inequality. These conclusions point out that social and political globalization may be a hindering factor for governance in these countries.