scholarly journals Regional Multiplier Analysis: A Demometric Approach

1978 ◽  
Vol 10 (5) ◽  
pp. 537-560 ◽  
Author(s):  
J Ledent
Keyword(s):  
Policy Implications ◽  
Metropolitan Statistical Area ◽  
Economic Base ◽  
Economic Activities ◽  
Aggregate Model ◽  
Econometric Methods ◽  
Multiplier Analysis ◽  
Design And Testing ◽  
Statistical Area

This paper reports on the design and testing of an adequate framework for conducting regional multiplier studies in areas experiencing rapid population growth. It puts forward the demometric approach, one that applies econometric methods to the analysis of demoeconomic growth. Two alternative models are proposed here. The first is an aggregate model presenting a demometric revision of the traditional economic-base model. The second model, an enlarged version of the first, is characterized by a breakdown of economic activities into nine major sectors. Both models are fitted to data for the rapidly growing metropolitan area of Tucson, Arizona, USA. They are then used to derive tentative impact and dynamic multipliers which substantiate the role of households as consumers and suppliers of labor in the development of the Tucson Standard Metropolitan Statistical Area (SMSA). The major finding is that, for the same level of resources, the second model yields better policy implications than the modified (and therefore also than the traditional) economic-base model.

WHY WE MARCH: THE ROLE OF GRIEVANCES, THREATS, AND MOVEMENT ORGANIZATIONAL RESOURCES IN THE 2017 WOMEN'S MARCHES

2018 ◽  
Vol 23 (4) ◽  
pp. 401-424 ◽  
Author(s):  
Rachel G. McKane ◽  
Holly J. McCammon
Keyword(s):  
African American ◽  
Metropolitan Statistical Area ◽  
Organizational Leaders ◽  
Organizational Resources ◽  
Level Data ◽  
The Impact ◽  
Statistical Area ◽  
Black And Latino

We use Metropolitan Statistical Area-level data to investigate the emergence and size of the 2017 Women's Marches. Our findings indicate that the protests can be understood through both grievances and threats felt in the aftermath of Trump's election and movement organizational resources. While the impact of movement resources is as expected (more protest in MSAs with greater resources), the effect of grievances and threats is complex. Cautions concerning the marches in both African American and Hispanic communities result in negative influences on protest in MSAs with larger black and Latino populations. Also, heightened grievances/threats generally do not increase the occurrence of the Women's Marches, but some grievances/threats, specifically among feminists and those voting for Clinton, increase the size of protests. We also do not find significant interactions between grievances and movement resources. Our findings suggest that because post-election grievances/threats were strongly felt, protesters did not need movement organizational leaders to help them define their grievance. They simply needed movement groups to provide venues for protest, that is, a coordinated set of sister marches. We conclude that researchers should consider both the type of grievances and threats and how grievances/threats and organizational resources work alongside one another to promote protest.

scholarly journals Firms’ Innovation in Waste Management and Land Fertilizers within the Triad

2017 ◽  
Vol 12 (8) ◽  
pp. 120
Author(s):  
Concetto Paolo Vinci ◽  
Luigi Aldieri
Keyword(s):  
Waste Management ◽  
Knowledge Spillovers ◽  
Positive Impact ◽  
Policy Implications ◽  
Firm Level ◽  
Explanatory Variables ◽  
Management Efficiency ◽  
Econometric Methods ◽  
The Usa

In this paper we investigate agricultural innovation in three economic areas: the USA, Japan and Europe, taking into account simultaneously both the spatial and technological dimensions.In particular, we introduce a theoretical framework and an empirical analysis based upon a dataset composed of worldwide R&D-intensive firms to discuss the role of spillover components in the waste management efficiency at firm level. The technological relatedness between the firms is computed through an original Mahalanobis Environmental industry weight matrix, based on the construction of technological vectors for each firm. Methodologically, from one hand, we explore the extent to which knowledge spillovers are important through spatial analysis procedure and from the other hand, we measure the effects of technology spillovers on firms’ productivity through econometric methods to handle heterogeneity and endogenous explanatory variables. The findings show a positive impact of Jacobian R&D spillovers on firms’ productivity and environmental performance and this result can be relevant repercussions in terms of policy implications.

Theoretical and Empirical Research in Modern Economics: Problems of Communication

2008 ◽  
pp. 4-19 ◽  
Author(s):  
A. Libman
Keyword(s):  
Empirical Research ◽  
Econometric Methods ◽  
Potential Impact ◽  
Empirical Turn

The last decades witnessed the increasing importance of econometric methods and empirical research in economics. The success of the empirical turn in economics depends on the formats and problems of communication between theory and empirics. The paper considers potential difficulties in communication "from the theory to empirical research" and "from empirical research to theory". It analyzes the role of informal consensus as an instrument facilitating such communication and potential impact of this consensus on the direction of research.

Beyond the Social Determinants of Health

2020 ◽  
Vol 3 ◽  
pp. 1-11
Author(s):  
Laura Hall ◽  
Urpi Pine ◽  
Tanya Shute
Keyword(s):  
Labour Force ◽  
Methodological Approach ◽  
Active Role ◽  
Indigenous Women ◽  
Economic Activities ◽  
The Earth ◽  
The Social ◽  
Weather Changes ◽  
People First

Abstract This paper will reflect on key findings from a Summer 2017 initiative entitled The Role of Culture and Land-Based Healing in Addressing and Ending Violence against Indigenous Women and Two-Spirited People. The Indigenist and decolonizing methodological approach of this work ensured that all research was grounded in experiential and reciprocal ways of learning. Two major findings guide the next phase of this research, complicating the premise that traditional economic activities are healing for Indigenous women and Two-Spirit people. First, the complexities of the mainstream labour force were raised numerous times. Traditional economies are pressured in ongoing ways through exploitative labour practices. Secondly, participants emphasized the importance of attending to the responsibility of nurturing, enriching, and sustaining the wellbeing of soil, water, and original seeds in the process of creating renewal gardens as a healing endeavour. In other words, we have an active role to play in healing the environment and not merely using the environment to heal ourselves. Gardening as research and embodied knowledge was stressed by extreme weather changes including hail in June, 2018, which meant that participants spent as much time talking about the healing of the earth and her systems as the healing of Indigenous women in a context of ongoing colonialism.

scholarly journals Investment Portfolio, Democratic Accountability, Poverty and Income Inequality Nexus in Pakistan: A Way to Social Sustainability

2021 ◽  
Vol 13 (11) ◽  
pp. 6411
Author(s):  
Muhammad Shahid Hassan ◽  
Haider Mahmood ◽  
Muhammad Ibrahim Saeed ◽  
Tarek Tawfik Yousef Alkhateeb ◽  
Noman Arshed ◽  
...  
Keyword(s):  
Income Inequality ◽  
Social Sustainability ◽  
Data Availability ◽  
Democratic Accountability ◽  
Investment Portfolio ◽  
Economic Activities ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Short Run

Institutions help to streamline the economic activity-related procedures, where government intervention might be involved. Institutions also play a significant role in social sustainability. The findings using the Autoregressive Distributed Lag approach to cointegration for the period from 1984–2019 reveal that investment portfolio and democratic accountability reduce poverty in Pakistan both in the long and short run. Moreover, democratic accountability helps to reduce income inequality, but the investment portfolio’s role is not significant. The literacy rate helps to reduce income inequality, and inflation increases poverty and income inequality. The remittances increase income inequality, and urbanization increases poverty. To eradicate poverty and income inequality, the governments should be accountable for their actions to the general public while they remain in power. If they do not deliver as per their manifestoes, they will not be reelected in the next election. Moreover, there is a dire need to redefine the role of an investment portfolio to reduce the risk of investment. So, investments would increase economic activities and could reduce poverty and income inequality. This study contributes to the literature by inquiring about the role of the investment portfolio and democratic accountability in social sustainability by reducing poverty and income inequality. This study only considers Pakistan’s economy due to limitations of poverty data availability in other countries. The scope could further be broadened by accessing data for a wider Asia region to test the role of the investment portfolio and democratic accountability to reduce poverty and income inequality.

Data-driven sector coupling in 5G-based smart networks

2021 ◽  
Vol 22 (1) ◽  
pp. 53-68
Author(s):  
Guenter Knieps
Keyword(s):  
Data Privacy ◽  
Service Providers ◽  
Policy Implications ◽  
Network Industries ◽  
5G Networks ◽  
Privacy And Security ◽  
Open Set ◽  
Application Service ◽  
Downstream Application

5G attains the role of a GPT for an open set of downstream IoT applications in various network industries and within the app economy more generally. Traditionally, sector coupling has been a rather narrow concept focusing on the horizontal synergies of urban system integration in terms of transport, energy, and waste systems, or else the creation of new intermodal markets. The transition toward 5G has fundamentally changed the framing of sector coupling in network industries by underscoring the relevance of differentiating between horizontal and vertical sector coupling. Due to the fixed mobile convergence and the large open set of complementary use cases, 5G has taken on the characteristics of a generalized purpose technology (GPT) in its role as the enabler of a large variety of smart network applications. Due to this vertical relationship, characterized by pervasiveness and innovational complementarities between upstream 5G networks and downstream application sectors, vertical sector coupling between the provider of an upstream GPT and different downstream application industries has acquired particular relevance. In contrast to horizontal sector coupling among different application sectors, the driver of vertical sector coupling is that each of the heterogeneous application sectors requires a critical input from the upstream 5G network provider and combines this with its own downstream technology. Of particular relevance for vertical sector coupling are the innovational complementarities between upstream GPT and downstream application sectors. The focus on vertical sector coupling also has important policy implications. Although the evolution of 5G networks strongly depends on the entrepreneurial, market-driven activities of broadband network operators and application service providers, the future of 5G as a GPT is heavily contingent on the role of frequency management authorities and European regulatory policy with regard to data privacy and security regulations.

scholarly journals COVID-19 uncertainty and sleep: the roles of perceived stress and intolerance of uncertainty during the early stage of the COVID-19 outbreak

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dan Wu ◽  
Tingzhong Yang ◽  
Daniel L. Hall ◽  
Guihua Jiao ◽  
Lixin Huang ◽  
...  
Keyword(s):  
Path Analysis ◽  
Perceived Stress ◽  
Mediation Analysis ◽  
Early Stage ◽  
Intolerance Of Uncertainty ◽  
Policy Implications ◽  
Self Report ◽  
Poor Sleep ◽  
The Relationship

Abstract Background The COVID-19 pandemic brings unprecedented uncertainty and stress. This study aimed to characterize general sleep status among Chinese residents during the early stage of the outbreak and to explore the network relationship among COVID-19 uncertainty, intolerance of uncertainty, perceived stress, and sleep status. Methods A cross-sectional correlational survey was conducted online. A total of 2534 Chinese residents were surveyed from 30 provinces, municipalities, autonomous regions of China and regions abroad during the period from February 7 to 14, 2020, the third week of lockdown. Final valid data from 2215 participants were analyzed. Self-report measures assessed uncertainty about COVID-19, intolerance of uncertainty, perceived stress, and general sleep status. Serial mediation analysis using the bootstrapping method and path analysis were applied to test the mediation role of intolerance of uncertainty and perceived stress in the relationship between uncertainty about COVID-19 and sleep status. Results The total score of sleep status was 4.82 (SD = 2.72). Age, place of residence, ethnicity, marital status, infection, and quarantine status were all significantly associated with general sleep status. Approximately half of participants (47.1%) reported going to bed after 12:00 am, 23.0% took 30 min or longer to fall asleep, and 30.3% slept a total of 7 h or less. Higher uncertainty about COVID-19 was significantly positively correlated with higher intolerance of uncertainty (r = 0.506, p < 0.001). The mediation analysis found a mediating role of perceived stress in the relationship between COVID-19 uncertainty and general sleep status (β = 0.015, 95%C.I. = 0.009–0.021). However, IU was not a significant mediator of the relationship between COVID-19 uncertainty and sleep (β = 0.009, 95%C.I. = − 0.002–0.020). Moreover, results from the path analysis further showed uncertainty about COVID-19 had a weak direct effect on poor sleep (β = 0.043, p < 0.05); however, there was a robust indirect effect on poor sleep through intolerance of uncertainty and perceived stress. Conclusions These findings suggest that intolerance of uncertainty and perceived stress are critical factors in the relationship between COVID-19 uncertainty and sleep outcomes. Results are discussed in the context of the COVID-19 pandemic, and practical policy implications are also provided.

scholarly journals A meta-analysis of the literature on climate change and migration

2021 ◽  
pp. 1-52
Author(s):  
Michel Beine ◽  
Lionel Jeusette
Keyword(s):  
Climate Change ◽  
Climatic Factors ◽  
Human Mobility ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Displacement Effect ◽  
Methodological Choices ◽  
Econometric Methods ◽  
And Migration

Abstract Recent surveys of the literature on climate change and migration emphasize the important diversity of outcomes and approaches of the empirical studies. In this paper, we conduct a meta-analysis in order to investigate the role of the methodological choices of these empirical studies in finding some particular results concerning the role of climatic factors as drivers of human mobility. We code 51 papers representative of the literature in terms of methodological approaches. This results in the coding of more than 85 variables capturing the methodology of the main dimensions of the analysis at the regression level. These dimensions include authors' reputation, type of mobility, measures of mobility, type of data, context of the study, econometric methods, and last but not least measures of the climatic factors. We look at the influence of these characteristics on the probability of finding any effect of climate change, a displacement effect, an increase in immobility, and evidence in favor of a direct vs. an indirect effect. Our results highlight the role of some important methodological choices, such as the frequency of the data on mobility, the level of development, the measures of human mobility and of the climatic factors as well as the econometric methodology.

scholarly journals Adult Children’s Support and Trajectory of Depressive Symptoms Among Disabled Chinese Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 751-751
Author(s):  
Jianyun Wang ◽  
Renyao Zhong ◽  
Yaolin Pei ◽  
Bei Wu
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Lower Risk ◽  
Risk Group ◽  
Policy Implications ◽  
Instrumental Support ◽  
Growth Mixture Model ◽  
Chinese Older Adults ◽  
Growth Mixture

Abstract This study aimed to examine the trajectory of depressive symptoms among Chinese older adults with disabilities and the role of adult children’s support in predicting trajectory classes of depressive symptoms. Data were drawn from three waves of the China Health and Retirement Longitudinal Study (2011-2015). The sample included 1420 disabled older adults age 60+ at the baseline and completed all three waves of the data. Growth mixture model shows two-class depressive symptoms trajectories: the higher risk group (25.49%) and the lower risk group (74.51%). Logistic regression results showed that respondents who received a longer term of adult children’s instrumental support were more likely to be classified in a higher risk group after controlling the covariates (OR=1.184, p&lt;0.05), while financial support and the frequency of contacts were not associated with the increased level of depressive symptoms. The policy implications were also discussed in this study.

scholarly journals Entrepreneurial intention: An analysis of the role of Student-Led Entrepreneurial Organizations

2021 ◽  
Author(s):  
Giuliano Sansone ◽  
Elisa Ughetto ◽  
Paolo Landoni
Keyword(s):  
Entrepreneurial Intention ◽  
Policy Implications ◽  
Policy Makers ◽  
Student Entrepreneurship ◽  
Entrepreneurial Organizations ◽  
Entrepreneurial Activities ◽  
The University ◽  
The Impact ◽  
The Empirical Analysis

AbstractAlthough a great deal of attention has been paid to entrepreneurship education, only a few studies have analysed the impact of extra-curricular entrepreneurial activities on students’ entrepreneurial intention. The aim of this study is to fill this gap by exploring the role played by Student-Led Entrepreneurial Organizations (SLEOs) in shaping the entrepreneurial intention of their members. The analysis is based on a survey that was conducted in 2016 by one of the largest SLEOs in the world: the Junior Enterprises Europe (JEE). The main result of the empirical analysis is that the more time students spent on JEE and the higher the number of events students attended, the greater their entrepreneurial intention was. It has been found that other important drivers also increase students’ entrepreneurial intention, that is, the Science and Technology field of study and the knowledge of more than two foreign languages. These results confirm that SLEOs are able to foster students’ entrepreneurial intention. The findings provide several theoretical, practical and public policy implications. SLEOs are encouraged to enhance their visibility and lobbying potential in order to be recognized more as drivers of student entrepreneurship. In addition, it is advisable for universities and policy makers to support SLEOs by fostering their interactions with other actors operating in the entrepreneurial ecosystem, who promote entrepreneurship and technology transfer activities. Lastly, this paper advises policy makers to assist SLEOs’ activities inside and outside the university context.

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