The Kenya Case of Multivariate Causality of Carbon Dioxide Emissions

Abstract

In this study, an attempt was made to investigate the Kenya case of multivariate causality of carbon dioxide emissions by employing a time series data spanning from 1961-2011 using the ARDL method of cointegration analysis. The long-run elasticities show that, a 1% increase in financial development increases carbon dioxide emissions by 0.28%, a 1% increase in GDP per capita increases carbon dioxide emissions by 1.32% and a 1% increase in urbanization decreases carbon dioxide emissions by 1.14%. There was a unidirectional causality running from financial development, food production index, GDP per capita, industrialization and urbanization to carbon dioxide emissions. The innovation accounting shows that 20% of future shocks in carbon dioxide emissions are due to fluctuations in financial development, 9% of future shocks in financial development are due to fluctuations urbanization and 22% of future shocks in food production index are due to fluctuations in carbon dioxide emissions.

A Road Behavior Pattern-Detection Model in Querétaro City Streets by the Use of Shape Descriptors

“…By analyzing typical road behaviors and unexpected events, we can propose a solution that can improve the situation. In this regard, researchers have applied causality techniques in various studies, such as Asuma-du-Sarkodie and Owusu [23], who implemented a research study in Kenya to examine the multivariate causality of carbon dioxide emissions [24,25]. They used a World Bank dataset spanning from the year 1961 to 2011 and the autoregressive distributed lag (ARDL) model for cointegration analysis [26].…”

Prevalence and Associated Factors of Overweight and Obesity among Primary School Children Aged 7–17 Years in Urban Mbarara, Uganda

“…On the other hand, the global fundamental cause of obesity and overweight is energy imbalance between calories consumed and calories expended [12]. According to the World Health Organization [13,14], there has been an increased intake of energy-dense foods that are high in sugars and fat and an increase in physical inactivity due to the increasingly sedentary nature of many forms of work, changing modes of transportation, and increasing urbanization. Several factors can play a role in gaining and retaining excess weight including diet, lack of exercise, environmental factors, and genetics [12].…”