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Weekly cycles in emotion were examined by combining item response modeling and spectral analysis approaches in an analysis of 179 college students' reports of daily emotions experienced over 7 weeks. We addressed the measurement of emotion using an item response model. Spectral analysis and multilevel sinusoidal models were used to identify interindividual differences in intraindividual cyclic change. Simulations and incomplete data designs were used to examine how well this combination of analysis techniques might work when applied to other practical data problems. Empirically, we found systematic individual differences in the extent to which individuals' emotions follow a weekly cycle, and in how such cycles are exhibited. Weekly cycles accounted for very little variance in day to day emotions at the individual level. Analytically, we illustrate how measurement, change, and interindividual difference models from different traditions may be combined in a practical manner to describe some of the complexities of human behavior.
The Permian–Triassic climate crisis can provide key insights into the potential impact of horizon threats to modern-day biodiversity. This crisis coincides with the same extensive environmental changes that threaten modern marine ecosystems (i.e., thermal stress, deoxygenation and ocean acidification), but the primary drivers of extinction are currently unknown. To understand which factors caused extinctions, we conducted a data analysis to quantify the relationship (anomalies, state-shifts and trends) between geochemical proxies and the fossil record at the most intensively studied locality for this event, the Meishan section, China. We found that δ18Oapatite (paleotemperature proxy) and δ114/110Cd (primary productivity proxy) best explain changes in species diversity and species composition in Meishan’s paleoequatorial setting. These findings suggest that the physiological stresses induced by ocean warming and nutrient availability played a predominant role in driving equatorial marine extinctions during the Permian–Triassic event. This research enhances our understanding of the interplay between environmental changes and extinction dynamics during a past climate crisis, presenting an outlook for extinction threats in the worst-case “Shared Socioeconomic Pathways (SSP5–8.5)” scenario.
The classification of internet gaming disorder (IGD) as a mental condition for further study in 2013 marked the emerging recognition of potential mental health issues associated with internet and gaming addiction. The COVID-19 pandemic and the rapid growth of gaming technology have combined to increase internet gaming, resulting in unhealthy lifestyle behaviors, poor sleep quality and psychological distress. Identifying the complex interplay between internet problem use, sleep disorders and psychological distress is crucial. However, it remains unclear how physical activity and self-compassion could improve sleep quality when individuals experience IGD symptoms. The current study, therefore, examined the relationships between IGD, sleep quality, self-compassion, physical activity and psychological distress using a path analysis approach. The study, targeting young adults (N = 283), found that physical activity played a significant role in connecting the variables and supporting the overall fit of the model. The results suggest that interventions targeting individuals with IGD should focus on promoting physical activity participation and developing self-compassion. Future research should continue to investigate the effectiveness of clinical interventions that incorporate self-compassion and physical activity counseling for individuals with IGD.
About a fourth of Chinese adolescents developed clinically significant depressive symptoms following a disaster. However, little is known about whether and how post-trauma negative life events and a sense of security are associated with depressive symptoms in this population. This study examined the psychological experiences of Chinese young people who had experienced the 2013 Ya’an earthquake in Sichuan, China.
Methods:
This cross-sectional study was conducted in 2019. A total of 693 Chinese middle school students completed a questionnaire that measured their level of depressive symptoms, trauma exposure, stressful life events, and sense of security.
Results:
Results of hierarchical multiple-regression analyses showed that the level of life stress from stressful life events was positively associated with the level of depressive symptoms (β = 0.416, P < 0.001) and the level of the sense of security was negatively associated with the level of depressive symptoms (β = −0.352, P < 0.001) when analysis controlled for age, gender, and trauma exposure.
Conclusions:
These findings highlight the importance of considering the influence of life stressors and the sense of security in devising measures and strategies for the prevention of the manifestation of depression among young people, particularly those who were exposed to disasters.
This is a registered report for a study of racial and ethnic variation in the relationship between negativity bias and political attitudes. Pioneering work on the psychological and biological roots of political orientation has suggested that political conservatism is driven in large part by enhanced negativity bias. This work has been criticized on several theoretical fronts, and recent replication attempts have failed. To dig deeper into the contours of when (and among whom) negativity bias predicts conservatism, we investigate a surprisingly overlooked factor in existing literature: race and ethnicity. We propose that political issues represent threat or disgust in different ways depending on one’s race and ethnicity. We recruited 174 White, Latinx, and Asian American individuals (in equal numbers) to examine how the relationship between negativity bias and political orientation varies by race/ethnicity across four domains: policing/criminal justice, immigration, economic redistribution, and religious social conservatism.
To examine the association between adherence to plant-based diets and mortality.
Design:
Prospective study. We calculated a plant-based diet index (PDI) by assigning positive scores to plant foods and reverse scores to animal foods. We also created a healthful PDI (hPDI) and an unhealthful PDI (uPDI) by further separating the healthy plant foods from less-healthy plant foods.
Setting:
The VA Million Veteran Program.
Participants:
315 919 men and women aged 19–104 years who completed a FFQ at the baseline.
Results:
We documented 31 136 deaths during the follow-up. A higher PDI was significantly associated with lower total mortality (hazard ratio (HR) comparing extreme deciles = 0·75, 95 % CI: 0·71, 0·79, Ptrend < 0·001]. We observed an inverse association between hPDI and total mortality (HR comparing extreme deciles = 0·64, 95 % CI: 0·61, 0·68, Ptrend < 0·001), whereas uPDI was positively associated with total mortality (HR comparing extreme deciles = 1·41, 95 % CI: 1·33, 1·49, Ptrend < 0·001). Similar significant associations of PDI, hPDI and uPDI were also observed for CVD and cancer mortality. The associations between the PDI and total mortality were consistent among African and European American participants, and participants free from CVD and cancer and those who were diagnosed with major chronic disease at baseline.
Conclusions:
A greater adherence to a plant-based diet was associated with substantially lower total mortality in this large population of veterans. These findings support recommending plant-rich dietary patterns for the prevention of major chronic diseases.
Eating habits of lactating women can influence the nutrient composition of human milk, which in turn influences nutrient intake of breastfed infants. The aim of the present study was to identify food patterns and nutritional adequacy among lactating women in Europe. Data from a multicentre European longitudinal cohort (ATLAS study) were analysed to identify dietary patterns using cluster analysis. Dietary information from 180 lactating women was obtained using 3-d food diaries over the first 4 months of lactation. Four dietary patterns were identified: ‘vege-oils’, ‘fish-poultry’, ‘confectionery-salads’ and ‘mixed dishes’. Nutrition adequacy was not significantly different between clusters, but the ‘vege-oils’ cluster tended to yield the highest nutrition adequacy measured by Mean Adequacy Ratio. Compared with European dietary reference values (DRVs) for lactating women, women in all clusters had inadequate intakes of energy, pantothenic acid, folate, vitamin C, vitamin A, vitamin D, zinc, iodine, potassium and linoleic acid. Adequate intake for fibre and α-linolenic acid was only achieved in the ‘vege-oils’ cluster. Overall, fat intake was above DRVs. The present study showed that various dietary patterns do not adequately supply all nutrients, indicating a need to promote overall healthy dietary habits for European lactating women.
This unique book provides comparative economic studies of Taiwan and Korea, and compares them mostly with Japan and the United States and finds that, in terms of the real GDP per capita in PPP, these emerging East Asian countries are still emerging in the world economy. This book contributes to quantitative and econometric analysis of the regional economies of emerging East Asia. Topics include development indicators, effects of 1997 Asian financial crisis, productivity growth, real GDP per capita growth, the time required for a country to catch up, and colonialism and economic development (in Taiwan and India). [NP] A timely collection, the various topics in this book provide a comprehensive understanding of emerging East Asian economies and economic analyses explaining, among other subjects, the basic concept of total factor productivity. In addition to serving as references for regional economists and policy analysists, this book can also be used as a textbook in economics and business and for researchers in general.
Continuing from Chapters 5 and 6, this chapter attempts to combine the traditional learning model with the recent theory of economic growth using Maddison's long-run real GDP per capita data of the three fastest-growing countries in East Asia: Korea, Taiwan and Japan.
We first explain the game of catching up among nations in the World. We find that catching up and falling behind among countries are the rule rather than the exception. We then explain the learning coefficients of Taiwan and Korea with Japan and the United States through periods before and after World War II. The model of learning leads to a logistic model of economic growth of convergence between two countries. Using time-series data, the coefficients of a logistic model are estimated to confirm that the real GDP per capita of Taiwan and Korea is converging to that of Japan and that of the United States, respectively. Similarly, Japan's GDP per capita converges to that of the United States. The time required for finite convergence, other things being equal, for these countries is also estimated.
Introduction
One of the most important challenges for developing countries is to catch up with developed countries. It is a question of economic convergence, and is generally framed in terms of the convergence of the level of real GDP per capita. Historically, poorer countries develop faster than (and so catch up and converge with) richer countries, if the former are closely associated with the latter. Korea and Taiwan are good examples. Before World War II, both nations were colonies of Japan, which was the fastest-growing economy in the world during the period 1911– 40. Despite Japanese exploitation, both achieved high growth rates of real GDP per capita, and, by the end of the 1930s, their levels of real GDP per capita were higher than those of any other developing countries in Asia (Hsiao and Hsiao, 2003).
In the face of the Asian financial crisis of 1997, the first part of this chapter carefully studies the characteristics of the financial crisis and its impacts on the Taiwanese and Korean economies. We examine 22 macroeconomic fundamentals, such as GDP, inflation rates, government budget, trade balance, external debt and so on, between Korea and Taiwan. We find that the macroeconomic fundamentals of both countries were basically the same, with the exception of the international finance sector. After defining the currency crisis and banking crisis, the causes of crises are identified as the nominal exchange rates and the short-term external debt to international reserves ratios. In view of this, in the second part of the chapter, we use cointegration and causality tests to examine the relationship between these two time series. We find a unidirectional causality from the short-term debt ratio to the exchange rate for Korea, but no causality is found between the two for Taiwan. The chapter ends with some discussion on the lessons and challenges from the experiences of these two countries.
Introduction
It is well known that Korea and Taiwan are the only two noncity-state countries, other than Japan, that have achieved and maintained rapid modern economic growth since the end of World War II. As such, most studies often lump them together as both countries achieved impressive growth through rapid industrialization and accelerated exports, like two wheels of a cart. Thus they are generally treated as twins, if not as identical, in world capitalistic development.
In recent years, however, their differences in the development process have also come to light. Taiwan relied more on domestic savings and direct foreign investment, along with emphasis on the contribution of small and medium-size enterprises. Korea depended on foreign borrowing, incurring large external debt, with a major role played by large conglomerates or chaebols in industrialization and trade. What are the impacts of the Asian financial crisis on these differences?
Using the weighted Malmquist productivity index, the efficiency index and the technical index, this chapter compares the productivity growth of 15 matched manufacturing sectors of Korea and Taiwan. The distance functions are derived by using industry-wide production frontiers from 1979 to l996. We find that the efficiency growth rates for both countries are high and are the predominant component of productivity. We also find that technology and productivity growth rates are much higher in Taiwan than in Korea. At a disaggregated level, there is more similarity in technology growth, but less or no similarity in efficiency growth. In both countries, productivity growth is similar, but traditional industries rely more on efficiency, basic industries on technology and high-tech industries on both. Lastly, in the innovator analysis, we found that the petroleum and coal products sector was consistently the major innovator of the manufacturing industry in both countries, but the minor innovators differed.
Introduction
Since the Asian financial crisis of 1997, it has become clear that the “East Asian Economic Miracle” has its limits. The Asian NIEs and the Association of Southeast Asian Nations (ASEAN) countries have fallen into recession and face the prospect of a productivity slowdown. Taiwan and South Korea (hereafter Korea), the most prominent “twins” among the impressive Asian performers, are no exception. This chapter compares productivity growth and its two components, technical progress and efficiency change, at the matched manufacturing levels of the two countries during 18 years (1979–96) before the financial crisis set in.
The importance of productivity growth in the study of the economic development of nations cannot be overemphasized. Productivity growth is “the single most important indicator of any nation's economic performance in the long run” (Lester, 1998), and “for real economic miracles you have to look to productivity growth […] In terms of human welfare, there is nothing that matters as much in the long run” (Baumol et al., 1989). Indeed, Korea and Taiwan can claim long-run “miracle growth” in the twentieth century. From 1911 to 1992, the average annual growth rate of real GDP per capita of Taiwan was 3.04%, and of Korea, 2.98%. The two ranked second and third in long-run world development, surpassed only by Japan, which had 3.34%.
Asia is a vast, complex and diverse region. It has about one-third of the earth's land area and about one-half of the world's population. The world's major religions and cultures— Christianity, Islam, Hinduism, Confucianism/Daoism and Buddhism— originated in Asia. In addition, it has diverse climates, geology, races, cultures, country areas, population sizes and resources. According to Maddison (2006, Table B-18), India had the highest GDP from 0– 1000 AD in the world, and China caught up with India after 1500 AD, which lasted until around 1820. China then fell behind the aggregate real GDP of 12 major European countries in 1870 and further fell behind that of the United Kingdom after 1913. The Industrial Revolution in the West during the nineteenth century did not spread to Asia, and Asia fell behind the West further during the era of Western colonialism. The economies of India, China and most of the Asian countries stagnated under colonialism and the imperialism of the European powers. Even two decades after World War II, “On the per capita basis the East [, Southeast, and South] Asian developing countries are in fact the world's poorest region” (Kirby 1967, 25; the brackets are the authors’).
Japan was an exception in Asia. It was the only country in Asia to shed feudalism and start modernization in the late nineteenth century. Japan's policy of “Rich Country Strong Army” helped it rise up to annex Taiwan (1895) and Korea (1910), became a world power and eventually formed the “Greater East Asia Co-prosperity Sphere.” While Japan tried to unite the East, Southeast and South Asians against European colonialism in the 1940s, it only proved to be another kind of Japan-centered imperialism and colonialism in Asia, and Japan was eventually defeated by the Allies in 1945.
Nevertheless, World War II brought a sea change in the world order. When the rest of Asia was still engaged in monocultural economic development and there was fighting among groups of nationalists, socialists, capitalists and communists, Japan recovered from the war damage quickly and, by benefiting from the Cold War and trading with the United States, achieved a highgrowth “Japan Miracle” in the 1960s. Japanese foreign direct investment then moved to Taiwan and Korea in the 1970s.
In growth theory, industrial productivity is the major factor driving economic growth. Instead of using conventional measures of total factor productivity, we use the weighted Malmquist productivity index, which was developed only recently, and its components, the efficiency index and the technology index.
Following the previous chapter, this chapter also compares the productivity performances of 15 matched manufacturing sectors in Korea and Taiwan. Using Maddison's data, we first ascertain that Taiwan and Korea are at the same development stage. The distance functions are derived by using the Malmquist productivity indexes, based on category-wise metafrontiers, 1978–96. Comparisons at the sector levels are made using sequential multiplicative products of the indexes.
We find that during this period, the overall productivity and technology growth rates of Taiwan were higher than those of Korea. This is also shown at disaggregated levels. While there are many similarities between the two countries, the productivity and technology growth rates of the high-tech industries in Korea are much larger than those of Taiwan, and more high-tech sectors in Korea are leading innovators compared to Taiwan. In contrast, Taiwan's high overall growth rate rested mainly on its traditional and basic industries. The differences are chronic rather than transient.
Our results indicate that there are several signs that Korea is catching up with Taiwan in productivity at long last. Their performance in the next decade will be of interest to watch.
Introduction
The rapid postwar growth of Taiwan and of the Republic of Korea (hereafter Korea) has been a focus of studies among scholars of development economics. The development of these two countries began in the early years of the twentieth century (Hsiao and Hsiao, 2003a), and accelerated after World War II (Hsiao and Hsiao, 2002, 2003a; Page, 1994). Beginning in the late 1960s, they entered the world production process, achieving impressive growth through rapid industrialization and accelerated exporting in the 1970s and the 1980s, with double dependence on Japanese imports (capital equipment and intermediate goods) and US markets (Hattori and Sato, 1997; Hsiao and Hsiao, 1996; Okuda, 1997).
Before World War II, Taiwan was a colony of Japan, and India was a colony of the United Kingdom. This chapter is unique and different from other chapters in that we compares the colonial experiences of Taiwan and India before World War II and their effects on the economic development of the postwar period. The chapter combines the traditional learning model with recent theory of economic growth using Maddison's long-run real GDP per capita data.
We first discuss the performance of India and Taiwan in the world economy. While economic theory suggests that, due to its large area and population, India could have grown faster than Taiwan, this was not the case after World War II. We identify differences in terms of learning in the development experience of the two countries under colonial rule. The colonial distortion in industrial and agricultural development appeared to be more important in India than in Taiwan. It appears that the most important factors, however, were health and education.
We then derive learning coefficients of India with the United Kingdom, Taiwan with Japan, and Japan with the United States through the prewar and postwar periods. Long-run coefficients of learning are estimated. Using the conventional unit root– based test of convergence, we show that the model of learning leads to a logistic model of economic growth. We then confirm that real GDP per capita of Taiwan was converging to that of Japan, whereas that of India showed only slight convergence to the United Kingdom or Taiwan. Our results underscore the importance of studying colonial experiences of the two countries, and for that matter, of any country in order to understand its postwar economic development.
Introduction
The study of the economic convergence of developing to developed countries as well as the convergence of some developed countries to dominant developed countries, such as the United States, is one of the most intriguing and difficult matters in the recent literature on economic growth and development. Few works, however, have focused on whether former colonies could catch up with the colonizer country once the colony achieved independence and cast off colonial institutions deemed inimical to economic development.