RESUMEN
Weather factors are effective to transmission of various diseases. Middle East Respiratory Syndrome (MERS), Severe Acute Respiratory Syndrome (SARS), and kinds of influenza can be given as example these diseases. The novel corona virus which is called COVID-19 is the most dangerous problem all around the world in these days. Early studies have revealed that COVID-19 cases are affected by environmental factors. Therefore, the purpose of this paper is to examine the relationship between the number of novel coronavirus cases and several weather parameters in 81 provinces of Turkey. Mean incubation period of COVID-19 is in question. Thus, this paper also aims to provide better understanding of the exact incubation period in Turkey by employing four different timeframe which are on the day (lag 0), 3 days ago (lag 3), 7 days ago (lag 7) and 14 days ago (lag 14). We have considered population density as a control variable. The dataset cover COVID-19 cases, population density, average temperature, humidity, pressure, dew point, wind speed, and sunshine duration for 81 provinces of Turkey. We find that population density has a positive correlation with COVID-19 cases. We also find that in lag 3, all parameters except for sunshine duration are negatively correlated with COVID-19 cases and significant. However, only 3 parameters, temperature, air pressure and dew point are negatively correlated with COVID-19 cases and significant for lag 0, lag 7 and lag 14. In addition, temperature, air pressure and dew point parameters are negative and significant in all timeframes.
RESUMEN
While the agricultural sector contributes the economic growth, it also induces GHGs and causes environmental degradation. The effect of agriculture activities on environmental degradation receives attention last several years in environmental Kuznets curve (EKC) literature. The aim of this paper is to investigate the effect of agriculture activities (AGRI), energy consumption (EC), foreign direct investment (FDI), and trade openness (TO) on CO2 in the context of EKC hypothesis for the Next Eleven countries in the period of 1991-2019. For this purpose, we employ common correlated effects mean group estimator (CCEMG) to obtain panel and country-specific results. In addition, Dumitrescu-Hurlin panel causality test is used to examine the pairwise causal relationship between variables. The results show that the EKC hypothesis, the inverted U-shape relationship between CO2 and GDP, is valid for Bangladesh, Mexico, Nigeria, Turkey, and the panel. FDI has significantly positive association with CO2 for South Korea and the panel. TO has significantly negative association with CO2 for Bangladesh, Indonesia, Mexico, and the panel but significantly positive relationship with CO2 in Philippines. Moreover, the focus variable AGRI has significantly negative association with CO2 for Bangladesh, Turkey, and the panel but significantly positive relationship with CO2 for Mexico.
Asunto(s)
Desarrollo Económico , Internacionalidad , Agricultura , Bangladesh , IndonesiaRESUMEN
The aim of this study is to examine the relationship between ecological footprint, economic growth, renewable energy consumption, and innovation within the framework of the environmental Kuznets curve (EKC) hypothesis for the top 10 innovative economies, namely, Denmark, Finland, Germany, Israel, Korea, The Netherlands, Sweden, Switzerland, the UK, and the USA, in the period of 1990-2015. For this purpose, the long-term relationship between variables was examined with a panel cointegration test. The results show that the variables in the EKC model move together in the long run. According to the long-run estimation results, the EKC hypothesis is valid for Israel, but not for the other countries. The study also makes the following observations: (i) For Korea, the USA, Finland, and the whole panel, innovation appears to reduce environmental pollution. (ii) Renewable energy consumption reduces environmental pollution for Denmark, Germany, The Netherlands, and the USA. (iii) Globalization has an impact on the reduction of environmental pollution for Germany and Switzerland. As a result, developing policies on the use of more innovative technologies in the countries studied will have a positive impact on environmental pollution. Graphical abstract.