this article analyses the effects of foreign exchange commitment and exchange rate unification policies on iran’s non-oil exports during the last three decades. in addition, the effects of these policies on non-oil exports have empirically been estimated. for this purpose, an export supply model was estimated using the econometrics technique of auto regressive distributed lag (ardl) and reliabl...

In recent years, the value-added created in the transportation industry is about 8 percent of GDP of Iran. Due to the high-induced effect of transportation sector on the whole economy, analyzing transportation production function and its determinant is of great value for policymakers. The objective of the present research is to estimate the transportation production for the case of Iran and to ...

Marine fisheries are a major industry in Malaysia sector, which contributes significant growth the economy and national food security. Unfortunately, this is vulnerable to threats of climate change relation marine environment such as rising sea level, water acidity, surface temperature. This study aims assess impact on sustainability Malaysia. uses Quintuple Helix model approach expansion estab...

This paper examines the use of autoregressive distributed lag (ARDL) models for the analysis of long-run relations when the underlying variables are I(1). It shows that after appropriate augmentation of the order of the ARDL model, the OLS estimators of the short-run parameters are p T -consistent with the asymptotically singular covariance matrix, and the ARDL-based estimators of the long-run ...

ABSTRACT-Due to the important role productivity plays in future decision making and programming, the productivity indexes should have accurate quantities. In this study, Auto-Regressive Distributed Lag (ARDL) and Genetic Algorithm (GA) methods are applied to time series of 1978-2008 to accurately measure total factor productivity (TFP) in the agricultural sector of Iran. The comparison of these...

Worldwide, influenza is estimated to result in approximately 3 to 5 million annual cases of severe illness and approximately 250,000 to 500,000 deaths. We need an accurate time-series model to predict the number of influenza patients. Although time-series models with different time lags as feature spaces could lead to varied accuracy, past studies simply adopted a time lag in their models witho...

there are two main reasons for studying investment in an economy. first, the combination of firms? investment demand and household?s saving supply determines how much of an economys? resoures is invested. second, investment is highly volatile; thus investment demand may be important in the short-run fluctuations. the present article examins the relationship and veracity of existence of banks pr...

This study examines the long-run relationship between carbon emissions and energy consumption, income and foreign trade in the case of China by employing time series data of 1975–2005. In particular the study aims at testing whether environmental Kuznets curve (EKC) relationship between CO2 emissions and per capita real GDP holds in the long run or not. Auto regressive distributed lag (ARDL) me...

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...