GROWTH AND CHANGE增长与变迁
GROWTH AND CHANGE(英文缩写 GROWTH CHANGE),ISSN 0017-4815,eISSN 1468-2257,中文译名:增长与变迁 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-09-28 至 2026-09-28，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 2.704 | Q2 |
| 2022 | 3.200 | Q2 |
| 2023 | 2.900 | Q1 |
| 2024 | 2.100 | Q2 |
| 2025 | 2.200 | Q2 |
GROWTH AND CHANGE 最新收录文献
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1. Do governmental policy interventions help urban economic recovery? Experimental evidence from China's provinces governance amid the COVID-19 pandemic.
PMID:日期:2022-12-12By examining China's province-level data, this paper uses governmental intervention theory to investigate the extent to which governmental policy interventions alleviate the impact of the COVID-19 pandemic on local economic growth. Results suggest that stronger government intervention during COVID-19 pandemic boost the economic recovery, and the effectiveness of governmental policy interventions is contingent on pandemic severity and local economic endowment. Specifically, facilitating effect of government intervention on economic growth is effective in all provinces, and the impact of government intervention is more pronounced in the province with more diagnosed cases, a high level of marketization and fiscal income.
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2. The corona blues according to daily life changes by COVID-19: A partial least squares regression model.
PMID:日期:2022-08-30This study identifies determinants of the variation in depression resulting from COVID-19, specifies in detail the changes to daily life, and then compares the determinants' magnitude. The determinants were combined into three groups: first, the unpredictability of the disease and side effects by its response measures (specifically, restrictions on the freedom of movement and strain on social relationships); second, (mis)information through social media, public authorities, and mass media; and third, income reductions and other sociodemographic factors. Daily life changes were divided into four categories: travel/mobility, time at home (alone and with family), domestic activities (remote work, online shopping, food deliveries, reading, and online networking), and conflicts (with family and neighbors). We measured the total 29 predictors using data from the 2020 Seoul Survey, which is based on face-to-face interviews with a probability sample of adult residents. We made our estimations using partial least squares regression, which can analyze all original variables regardless of collinearity. The regression model found that major stressors include declines in out-of-home offline networking and the rise of domestic activities-and subsequent conflicts with family-restrictions on mobility (specifically, those of leisure travel), and income reductions. In contrast, changes to working and shopping (to remote work and online shopping) rather than leisure increased uses of private transportation modes. Moreover, we found influences of all forms of communications and media to be insignificant. We shall also provide a discussion on policy and academic implications of the findings.
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3. Employment impacts of the COVID-19 pandemic across metropolitan status and size.
PMID:日期:2021-12-01We use individual-level data from the United States Current Population Survey to examine effects of the COVID-19 pandemic on employment losses across metropolitan area status and population size. Job losses spiked in April 2020, and partially recovered in subsequent months. Non-metropolitan and metropolitan areas of all sizes experienced significant employment losses, but the impacts were much larger in large metropolitan areas. The COVID-19 infection rate was initially higher in large metropolitan areas and this is a significant factor explaining the higher early employment losses in large metropolitan areas. However, higher job losses for large metropolitan areas persisted through summer and fall 2020 even after COVID-19 infection rates became higher in less populous areas. We find evidence of persistent effects of early COVID-19 infection rates on later employment.
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4. What drives people to repost social media messages during the COVID-19 pandemic? Evidence from the Weibo news microblog.
PMID:日期:2021-11-15COVID-19 poses an unprecedented challenge to human society. To cope with the pandemic, people seek information from various communication channels. Microblog websites are highly influential information channels for the public to get timely information during the pandemic. Building on the heuristic-systematic processing model, this study identifies the multiple characteristics (content, author, and social features) that may play a role in triggering long cascades of reposts of COVID-19-related news microblogs. With a large-scale news microblog database collected from Weibo and an innovative information gain method, we find that heuristic thinking plays a dominant role in COVID-19 pandemic-related news microblog reposting decisions and further discloses the specific influencing factors of such behavior.
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5. Identifying resilient industries in Mexico's automotive cluster: Policy lessons from the great recession to surmount the crisis caused by COVID 19.
PMID:日期:2021-09-01This study investigates regional employment and production resilience to adverse crisis shocks. We extend the concept of resilience beyond the notion of resistance and fast recovery to include the potential of positive spillovers to related industries in neighboring regions. The industrial analysis of the automotive cluster in Mexico relies on a spatial shift-share approach to characterize the resilience ability of regional industries. The study employs the Sub-Prime crisis as a benchmark to identify the type of employment and production recovery after an adverse shock of similar magnitude. Four industries within the automotive cluster present various degrees of spatial dependence-those industries with the most significant spillover effects on neighboring regions. The type of resilience shown by these automotive industries in the regions during the Sub Prime Crisis serves as a benchmark to base policy government and corporate decisions after the economic crisis caused by the outbreak of SARS-CoV-2.
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6. Legitimate but "not for me": The role of validation in migrant entrepreneur understanding of COVID-19 business support policies in Shanghai.
PMID:日期:2021-09-01COVID-19 pandemic destroyed lives and the global economy, and in the wake left businesses struggling to re-open in urban China. The Chinese party-state implemented fiscal reforms targeted towards small businesses, however little research has evaluated business' understanding of policies and implementation, particular to the focus on rural migrant entrepreneurs. Therefore, we conducted an ethnographic case study including in-depth interviews to determine to what extent rural migrant micro-entrepreneurs understand and adopt COVID-19 business support policies at two retail markets in Shanghai amid a pandemic. Applying an inductive grounded theory approach, the data demonstrated participants believe policies are but because . We maintain their understanding is a legacy of and is confirmed through the theory of validation including through agreement with significant others including other entrepreneurs and family; with life experiences in Shanghai; and of their migration story as self-sufficient entrepreneurs surviving with their own capabilities. They have a degree of certainty their understanding is fact because it has been repeatedly validated through life experiences of a migrant lacking in Shanghai. The study encourages consideration for the migrant entrepreneur context and has important practical implications for policymakers.
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7. The variations in individual consumption change and the substitution effect under the shock of COVID-19: Evidence from payment system data in China.
PMID:日期:2021-06-01Over the last two decades, scholars have pointed to the significance of the impact of extreme events on consumption, a prominent part of national economies. How does the COVID-19 epidemic influence consumption? Using high-frequency payment system panel data, we explicitly consider the individual consumption changes and the substitution effect between online and offline markets of multiple categories by constructing autoregressive integrated moving average (ARIMA) models and conducting regression analyses. The value and regression coefficients of the substitution elasticity are used to estimate the changes and the substitution effects from the offline to the online channels. The results show that consumption saw a remarkable decline after the surge of COVID-19 in 2020 compared to 2019. Overall, online markets were more resilient than the offline markets and the substitution effects after the epidemic's outbreak between the online and offline markets were significant for one-third of the consumption categories. However, the online market could not replace the offline market for some categories due to the product characteristics. The vulnerable industries in the face of the epidemic's intervention are determined as being traditional catering, transportation, tourism, and education, and the shortage of healthcare services in extreme events is also pointed out. The results provide suggestions for policies on targeted enterprises and public service.
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8. The Roles of Population, Place, and Institution in Student Diversity in American Higher Education.
PMID:日期:2013-01-01Student racial and ethnic diversity in higher education is an important and timely topic, as institutions, policy-makers, and economists increasingly recognize the value that accrues at many levels of having a skilled and diverse student body and workforce. Students benefit from learning in a diverse environment; firms may benefit from a diverse workforce; and more demographically diverse regions make experience higher rates of economic growth. However, the forces governing institution-level student diversity are poorly understood, as little prior research on the topic exists. This paper uses school enrollment data to parse out the contribution institutional characteristics, geographical setting, and local demographic characteristics make to student body diversity at each level of study. Results indicate that geographical location and local demographic composition play a role in student body diversity, as do the type and orientation of the institution. Institutional characteristics explain a lot of the variation in student body diversity and actual location of schools matters less than the demographic composition of young people around that location. Two broad conclusions emerge with regard to schools seeking to increase their student diversity. First, some may find their efforts hampered by circumstances outside their control (location, for example). Second, the influence of public/private status and even school size suggest further research on the ways in which these factors influence student diversity so that eventual policy action can be more effective.
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9. Gender and ethnic concentration and employment prospects for Mexican-American migrants.
PMID:日期:1998-01-01该文献暂无摘要。
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10. Density and the journey to work.
PMID:日期:1997-01-01"This paper evaluates the influence of residential density on commuting behavior across U.S. cities while controlling for available opportunities, the technology of transportation infrastructure, and individual socio-economic and demographic characteristics. The measures of metropolitan and local density are addressed separately.... Regressions are conducted to predict commuting time, speed, and distance, by mode of travel on a cross-section of individuals nationally and city by city. The results indicate that residential density in the area around the tripmaker's home is an important factor: the higher the density the lower the speed and the shorter the distance.... The paper suggests a threshold density at which the decrease in distance is overtaken by the congestion effects resulting in a residential density between 7,500 and 10,000 persons per square mile (neither the highest nor lowest) with the shortest duration auto commutes."