The link between regional temperature and regional incomes: Econometric evidence with Sub-National data

2021 ◽  
Author(s):  
Christina Greßer ◽  
Daniel Meierrieks ◽  
David Stadelmann

Abstract We study the link between temperature and economic development at the sub-national level, employing cross-sectional data from two distinct sources. In contrast to much of the existing cross-country literature on the temperature-income relationship, our setting allows for the inclusion of country fixed effects. Once we account for country fixed effects, we do not find a statistically robust relationship between regional temperature and three different measures of regional economic development (per capita GDP, nightlights and gross cell production). We also test whether temperature is non-linearly related to regional income (with hotter regions being potentially particularly prone to adverse effects of temperature on income) but find no systematic evidence in favor of such a relationship. Finally, we examine whether the effect of temperature on economic development is especially pronounced in poorer regions (e.g., due to weaker adaptation). Again, we find no statistically robust link.

2021 ◽  
Vol 17 (1) ◽  
pp. 223-234
Author(s):  
Dmitrii S. Tereshchenko ◽  
Vasilii S. Shcherbakov

Universities play a crucial role in local economies, providing educational services and participating in research and development. This is particularly important for Russia where regions are highly differentiated in terms of both socio-economic development and technological progress and innovations. However, many regional universities in Russia have traditionally focused primarily on teaching, with less emphasis on research activities. In this paper, we aim to deepen the understanding of the impact of scientific activities of universities on regional economic and innovative development. For this purpose, we estimate different specifications of a fixed-effects model using panel data from Russian regions for 2010–2016. We aggregate the number of universities’ publications per researcher at the sub-national level to incorporate regional scientific activity in our model. Considering other important socio-economic characteristics of regions, we revealed that the association between the publication activity of universities and innovative development of the region remains significant, while the relationship between economic development of the region and the scientific activity of universities disappeared completely. A number of robustness checks demonstrated that statistically significant results remain only when the relative number of publications indexed in international citation databases (Scopus and Web of Science) is used as an explanatory variable. Simultaneously, the publications indexed in specific Russian lists and databases as well as publications in regional scientific organisations that are not universities do not contribute to innovative development of the region. The results can be used for planning the funding of research activities in universities and setting performance targets for universities.


2014 ◽  
Vol 2 (2) ◽  
pp. 85-92
Author(s):  
Elvis Munyaradzi Ganyaupfu

This paper analysed the relative impacts of health and education on economic development in Southern Africa. A set of cross country panel data from 11 countries over the period 2005 - 2011 was used in the study. The econometric procedure adopted in the analysis followed the Breusch and Pagan Lagrangian Multiplier test and Hausman test techniques. Based on the Fixed Effects (FE) model, results show that health and education have significant positive effects on economic development; with health having a more remarkable effect on development in the region. The R-squared statistic indicates that nearly 21.79 percent total variation in economic development was accounted for by health and education during the period under review. The F(2,64) statistic (=15.45; p < 0.05) reveals significance of the model; while the interclass correlation value shows that nearly 99.53 percent of the variance was due to differences across panels.


BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e039623
Author(s):  
Chandrika Jeevananthan ◽  
Nor Asiah Muhamad ◽  
Mohd Hasni Jaafar ◽  
Rozita Hod ◽  
Rimah Melati Ab Ghani ◽  
...  

IntroductionThe current global pandemic of the virus that emerged from Hubei province in China has caused coronavirus disease in 2019 (COVID-19), which has affected a total number of 900 036 people globally, involving 206 countries and resulted in a cumulative of 45 693 deaths worldwide as of 3 April 2020. The mode of transmission is identified through airdrops from patients’ body fluids such as during sneezing, coughing and talking. However, the relative importance of environmental effects in the transmission of the virus has not been vastly studied. In addition, the role of temperature and humidity in air-borne transmission of infection is presently still unclear. This study aims to identify the effect of temperature, humidity and air quality in the transmission of SARS-CoV-2.Methods and analysisWe will systematically conduct a comprehensive literature search using various databases including PubMed, EMBASE, Scopus, CENTRAL and Google Scholar to identify potential studies. The search will be performed for any eligible articles from the earliest published articles up to latest available studies in 2020. We will include all the observational studies such as cohort case–control and cross-sectional studies that explains or measures the effects of temperature and/or humidity and/or air quality and/or anthropic activities that is associated with SARS-CoV-2. Study selection and reporting will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and Meta-Analysis of Observational Studies in Epidemiology guideline. All data will be extracted using a standardised data extraction form and quality of the studies will be assessed using the Newcastle-Ottawa Scale guideline. Descriptive and meta-analysis will be performed using a random effect model in Review Manager File.Ethics and disseminationNo primary data will be collected, and thus no formal ethical approval is required. The results will be disseminated through a peer-reviewed publication and conference presentation.PROSPERO registration numberCRD42020176756.


Author(s):  
Mojca Svetek ◽  
Mateja Drnovsek

AbstractEntrepreneurial activity has been seen as the single most important activity of individuals due to its role in the economic development of nations. However, little is known about the impact of entrepreneurial activity on the subjective well-being of nations beyond its economic impact. The purpose of this study is to explore the impact of different types of entrepreneurial activity – total entrepreneurial activity, opportunity-driven entrepreneurial activity and innovative entrepreneurial activity – on subjective well-being across nations. We consider three distinct mechanisms by which entrepreneurship may influence subjective well-being at the national level. Our panel data includes representative country-level data from 2008 to 2015 from five different data sources for 31 European countries. We employ four econometric models for analyzing the panel data: pooled OLS regression (POLS), fixed effects model (FE), random effects model (RE), and simultaneous equations model (3SLS). Our results suggest that opportunity-driven entrepreneurial activity has a positive impact on subjective well-being. In addition, we find that subjective well-being affects the level of opportunity-driven and innovative entrepreneurial activity. These findings have implications for policy-makers seeking to promote not only economic development but also subjective well-being in the nation.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Pantelis C. Kostis

AbstractDuring recent decades, culture is gaining more and more attention as a factor that determines economic outcomes. Trying to investigate its role on innovation and economic development, this paper uses a dataset that offers the potential for a cross-sectional and time series analysis. Thus, in this paper, the effects of culture on innovation (as measured by patent applications, spending on R&D, number or researchers per 1000 individuals and number of government researchers) and economic development are investigated. Cultural background is captured through the Schwartz’s cultural values, as reported through the European Social Survey (ESS) waves during the period 2002–2018. The dataset is comprised by 18 Eurozone countries. Using principal component analyses to capture the Schwartz’s cultural values, as well as two ways fixed-effects analysis (FE), time dummies for each ESS wave included in the analysis and cluster—robust estimates of the standard errors, in order to examine the above relationships, the main conclusions derived from the analysis are that (a) there is significant effect of culture on innovation and economic development, and (b) the main cultural dimensions that hinder innovation and economic development are the prevalence of hierarchy, affective autonomy, and mastery. These results hold for all different dependent variables used in the analysis. Thus, when hierarchy, affective autonomy, and mastery are present innovation and economic development are hindered, leading to obstacles regarding the sustainability of economic outcomes. The opposite holds in societies where embeddedness, egalitarianism, and harmony prevail.


MRS Advances ◽  
2020 ◽  
Vol 5 (63) ◽  
pp. 3389-3395
Author(s):  
R. González-Díaz ◽  
D. Fernández-Sánchez ◽  
P. Rosendo-Francisco ◽  
G. Sánchez-Legorreta

AbstractIn this work, the first results of the effects of temperature during the production of Se2- ions and the effect during the interaction of Cd2+ and Se2- ions in the synthesis process of CdSe nanoparticles are presented. The synthesis of CdSe was carried out by the colloidal technique, in the first one we used a temperature of 63 °C to produce Se2- ions and in the second one an interaction temperature of 49 °C. The samples were characterized using a Scanning Electron Microscope (SEM) and a Scanning Tunneling Microscope (STM). From the SEM micrographs it was possible to identify the thorns formation and irregular islands. STM micrographs reveal elliptical shapes with a regular electron cloud profile.


2021 ◽  
Vol 13 (4) ◽  
pp. 1798
Author(s):  
Patrik Rovný ◽  
Serhiy Moroz ◽  
Jozef Palkovič ◽  
Elena Horská

The main aim of our paper is to study peculiarities of two periods, i.e., the pre-conflict period (2004–2013) and conflict period (2014–2018), in the context of the impact of the demographic structure of the population on the economic growth and development of coastal regions of Ukraine. In the first step of the analysis, we investigate the relationship between the demographic shifts and selected economic indicators, using the Pearson’s correlation coefficient. In the next step of the analysis, we focus on the quantification of the impact of demographic indicators on the economic variables, based on the panel model with fixed effects. The received results confirm that the influence of the demographic stricture on the economic state of coastal regions changed significantly in the conflict period in comparison with the pre-conflict period, especially concerning income, unemployment, and the openness of the economy. Additionally, our findings show that while economic differences existed between the Azov Sea regions and the Black Sea regions in the pre-conflict period, they disappeared due to the economic deterioration of the Azov Sea regions during the conflict period. It is concluded that war affects adversely the population’s demographic structure, which inhibits the growth and economic development of Ukrainian coastal regions.


2021 ◽  
Vol 13 (4) ◽  
pp. 1969
Author(s):  
Donghui Lv ◽  
Huiying Gao ◽  
Yu Zhang

Identification of local priorities within each potential sector and implementation of a targeted development policy would definitely accelerate rural economic growth. In this sense, it is useful to examine each region’s industrial structural evolution compared to the whole economy and aggregate industries. Shift-share analysis has been confirmed as a useful method to measure regional economic differences and analyze the contribution of industrial structure. This paper selects five representative counties in Heilongjiang province and applies shift-share decomposition to analyze the change in rural economic development from 2000 to 2018. The change of economic growth in each selected county is decomposed into three components: national growth effect, industrial structure effect, and competitive effect, taking the national level as the reference. The results showed the following: (1) the trend of rural economic growth fluctuated greatly for nearly 20 years, distinguished by a mismatch of industrial structure with competitiveness for the selected counties; rural economies with an inappropriate industrial structure did not experience strong growth, despite high competitive potential. (2) The low-end agricultural structure and secondary industry structure led to the loss of each competitive effect; the tertiary industry structure based on economic structure servitization was rational, but the competitive effect did not work out. (3) Finally, this paper provided differentiated suggestions in accordance with local resources and priorities of the selected counties, so as to avoid excessive convergence and the lack of characteristics in industrial structure in rural transformation.


BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e049069
Author(s):  
Atsushi Miyawaki ◽  
Takahiro Tabuchi ◽  
Yasutake Tomata ◽  
Yusuke Tsugawa

ObjectiveTo investigate the association between participation in government subsidies for domestic travel (subsidise up to 50% of all travel expenses) introduced nationally in Japan on 22 July 2020 and the incidence of symptoms indicative of COVID-19 infections.DesignCross-sectional analysis of nationally representative survey data.SettingInternet survey conducted between 25 August and 30 September 2020 in Japan. Sampling weights were used to calculate national estimates.Participants25 482 survey respondents (50.3% (12 809) women; mean (SD) age, 48.8 (17.4) years).Main outcome measuresIncidence rate of five symptoms indicative of the COVID-19 infection (high fever, sore throat, cough, headache, and smell and taste disorder) within the past month of the survey, after adjustment for characteristics of individuals and prefecture fixed effects (effectively comparing individuals living in the same prefecture).ResultsAt the time of the survey, 3289 (12.9%) participated in the subsidy programme. After adjusting for potential confounders, we found that participants in the subsidy programme exhibited higher incidence of high fever (adjusted rate, 4.7% for participants vs 3.7% for non-participants; adjusted OR (aOR) 1.83; 95% CI 1.34 to 2.48; p<0.001), sore throat (19.8% vs 11.3%; aOR 2.09; 95% CI 1.37 to 3.19; p=0.002), cough (19.0% vs 11.3%; aOR 1.96; 95% CI 1.26 to 3.01; p=0.008), headache (29.2% vs 25.5%; aOR 1.24; 95% CI 1.08 to 1.44; p=0.006) and smell and taste disorder (2.6% vs 1.8%; aOR 1.98; 95% CI 1.15 to 3.40; p=0.01) compared with non-participants. These findings remained qualitatively unaffected by additional adjustment for the use of 17 preventative measures (eg, social distancing, wearing masks and handwashing) and fear against the COVID-19 infection.ConclusionsThe participation of the government subsidy programme for domestic travel was associated with a higher probability of exhibiting symptoms indicative of the COVID-19 infection.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adeniyi Francis Fagbamigbe ◽  
A. Olalekan Uthman ◽  
Latifat Ibisomi

AbstractSeveral studies have documented the burden and risk factors associated with diarrhoea in low and middle-income countries (LMIC). To the best of our knowledge, the contextual and compositional factors associated with diarrhoea across LMIC were poorly operationalized, explored and understood in these studies. We investigated multilevel risk factors associated with diarrhoea among under-five children in LMIC. We analysed diarrhoea-related information of 796,150 under-five children (Level 1) nested within 63,378 neighbourhoods (Level 2) from 57 LMIC (Level 3) using the latest data from cross-sectional and nationally representative Demographic Health Survey conducted between 2010 and 2018. We used multivariable hierarchical Bayesian logistic regression models for data analysis. The overall prevalence of diarrhoea was 14.4% (95% confidence interval 14.2–14.7) ranging from 3.8% in Armenia to 31.4% in Yemen. The odds of diarrhoea was highest among male children, infants, having small birth weights, households in poorer wealth quintiles, children whose mothers had only primary education, and children who had no access to media. Children from neighbourhoods with high illiteracy [adjusted odds ratio (aOR) = 1.07, 95% credible interval (CrI) 1.04–1.10] rates were more likely to have diarrhoea. At the country-level, the odds of diarrhoea nearly doubled (aOR = 1.88, 95% CrI 1.23–2.83) and tripled (aOR = 2.66, 95% CrI 1.65–3.89) among children from countries with middle and lowest human development index respectively. Diarrhoea remains a major health challenge among under-five children in most LMIC. We identified diverse individual-level, community-level and national-level factors associated with the development of diarrhoea among under-five children in these countries and disentangled the associated contextual risk factors from the compositional risk factors. Our findings underscore the need to revitalize existing policies on child and maternal health and implement interventions to prevent diarrhoea at the individual-, community- and societal-levels. The current study showed how the drive to the attainment of SDGs 1, 2, 4, 6 and 10 will enhance the attainment of SDG 3.


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