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Abstract. Droughts form a large part of climate- or weather-related disasters reported globally. In Africa, pastoralists living in the arid and semi-arid lands (ASALs) are worse affected. Prolonged dry spells that cause vegetation stress these regions have resulted loss income livelihoods. To curb this, global initiatives like Paris Agreement United Nations recognised need to establish early wa...

Abstract With the rapid expansion of RMB exchange rate’s floating range, effects rate and global commodity price changes on China’s stock prices are likely to increase. This study uses both auto regressive distributed lag (ARDL) nonlinear ARDL (NARDL) approaches explore symmetric asymmetric prices. Our findings show that without considering critical variable prices, there is no cointegration re...

Until the Augmented Neo-Classical Growth Model developed by Mankiw, Romer and Weil, growth theories have ignored human capital factor. This study aims to investigate impact of health on economic in Turkey between 1960-2014 through a production function that includes capital. Health education are included as two main components The Multivariate Auto-Regressive Distributed Lag (ARDL) Bounds Test ...

The role of institutions in both the inflow and impact foreign direct investment is great im¬portance. quality a country can towards improving growth. This paper analyzes individual combined effect on economic growth Ghana. used Auto Regressive Distributed Lag (ARDL) tech¬nique for secondary data obtained from 1995 to 2019. All series, except institution index, were drawn World Bank Development...

This paper examines the causality between income inequality and crime in Malaysia for the period 1973-2003. Autoregressive Distributed Lag (ARDL) bounds testing procedure is employed to (1) analyze the impact of income inequality on various categories of criminal activities as well as to (2) analyze the impact of various categories of criminal activities on income inequality. Interestingly our ...

This paper investigates whether exports are the engine of production growth in forest industries in three countries. A bivariate autoregressive distributed lag model of production and exports was estimated with data of eleven forest industries from China, Finland, and the United States. Inferences were based on the short-run and long-run partial multipliers from exports to production by industr...