Yazar "Khan, Ashfak Ahmad" seçeneğine göre listele

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    Financial development and real exchange rate misalignments effects on environmental pollution
    (Frontiers Media Sa, 2022) Xiao, Lin; Ahmad, Muneeb; Waseem, Liaqat Ali; Ahmad, Muhammad Munir; Khan, Ashfak Ahmad
    The research examined the influence of the fundamental exchange rate misalignment and Least Developed Countries (LDCs) in Asia and Africa's financial development on CO2 emissions in Asian countries using panel data from 1970 to 2021. The methodology consists of ARDL bound testing and PMG/ARDL estimators with dynamic OLS estimators. The results reveal that the long-run real exchange rates for least developed countries (LDCs) are expected to rise in CO2 emissions in Asian and African countries with improved trade and net foreign asset positions. The relative productivity and trade openness also increase the exchange rate, which also plays a vital role in the growth of CO2 emissions. Except for Egypt, all least developed countries (LDCs) currencies are overpriced throughout the research period at the same time; it would be harmed by increased openness, foreign direct investment inflows, and currency misalignment. Overvaluation harms Bahrain's economic growth. In comparison, undervaluation helps Egypt that currency misalignment does not affect financial growth in any LDCs over the long run. In the short-run, more real investment, net foreign assets, and official assistance inflows would enhance financial growth in Qatar, Bahrain, Singapore, and South Korea. In contrast, trade openness would slow it down in Egypt and Kuwait. The study suggested that the poor economic performance is due to RER misalignment, which occurs when exchange rate policies are improper and causes a rise in CO2 emissions in many developing countries.
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    Is rural out migration constructive for sustainable development? A case of mountain community of kıbrıscık, turkey
    (2019) Khan, Ashfak Ahmad; Somuncu, Mehmet
    This paper investigates the relationship between environmental degradation and outmigration in mountainous area of Kibriscik district, Bolu Province, Turkey. Primarydata was collected through personal observations and in-depth interviews withresidents of different age groups and representatives of civil society organizations.Furthermore, secondary data was collected from Turkish Directorate General ofForest, Turkish statistical Institute and District Agriculture Office, Kibriscik. Resultsrevealed that population of the research area have decreased significantly in recentyears due to lack of employment opportunities in the area. Out migration hasproved beneficial in terms of environmental stability. On the other hand, decreasednumber of young people resulted in abundance of economically inactive older ones.As a result, serious decrease in livestock and agricultural activity is observed in thearea. Similar situations in most of mountainous areas of Turkey has affected thecountry`s overall demand of dairy products.
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    Is terrorism a real threat to tourism development? Analysis of inbound and domestic tourist arrivals in Turkey
    (Routledge Journals, Taylor & Francis Ltd, 2020) Karamelikli, Huseyin; Khan, Ashfak Ahmad; Karimi, Mohammad Sharif
    This study estimates the long-run and short-run impact of terrorist incidents on inbound and domestic tourist arrivals in Turkey by using a non-linear autoregressive lag (NARDL) model for the period between 2007 and 2016. The results reveal unidirectional nonlinear relationships from terrorism to tourism in both the long-run and short run. Inbound and domestic tourists show different respond towards an increase or decrease in terrorist incidents. The findings are expected to help tourism management, planning, and forecasting regarding greater economic benefits for the country. We suggest that improving security measures and effective safety procedures in tourist areas can reduce terrorist incidents in the future.
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    Linking Spatial Patterns of Livestock to the Geographical Variances in Turkey
    (Istanbul Univ, Fac Letters, Dept Geography, 2020) Khan, Ashfak Ahmad
    The livestock sector is considered as an essential economic source in the economic policies of many developing countries in the world. The present research aims to analyse the spatial association and dependence of livestock in Turkey by using the exploratory spatial data analysis (ESDA) technique. Livestock data of 966 cities from 2004 to 2017 have been used to detect spatial distribution, clusters and hotspot areas of cattle and small ruminants' populations. It has been revealed that livestock production is strongly associated with the natural environmental characteristics of spatial units throughout the country. Spatial autocorrelation has shown the positive values for both cattle and small ruminants, but stronger for the latter. Besides, a change in the clusters of cattle populations has also been observed over the selected period. Apart from the natural environmental factors, several socio-economic issues like rural outmigration, government policies, industrial requirements and regional disparities have also been found responsible for the change in the spatial patterns of livestock. The research provides significant outcomes for better allocation of resources in priority areas to develop the livestock sector. Moreover, it also facilitates pointing out the potential areas of livestock development in the future.
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    Projections of tourist arrivals in the eastern black sea region of turkey
    (2020) Khan, Ashfak Ahmad
    Tourism forecasting plays a vital role in developing a firm policy for themanagement of future development in the sector. This study makes touristarrival projections in the Eastern Black Sea Region of Turkey with theapplication of Autoregressive Integrated Moving Average (ARIMA) model.Monthly data of tourist arrivals from 2008 to 2018 have been used for theproposed model. The results have revealed that the proposed model hasprojected the tourist arrival values that are near to actual tourist arrivals.Tourist arrivals are expected to be increased in the future years in EasternBlack Sea Region, hence, making the region a popular tourist destination.Therefore, prior measures are essential to take to develop tourism in asustainable form. The results of the study are useful for the development ofbetter tourism policy for the region as future projection is an integral part ofsustainable tourism development.
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    Wildfire Susceptibility Mapping Using Five Boosting Machine Learning Algorithms: The Case Study of the Mediterranean Region of Turkey
    (Hindawi Ltd, 2022) Abujayyab, Sohaib K. M.; Kassem, Moustafa Moufid; Khan, Ashfak Ahmad; Wazirali, Raniyah; Ozturk, Ahmet; Toprak, Ferhat
    Forest fires caused by different environmental and human factors are responsible for the extensive destruction of natural and economic resources. Modern machine learning techniques have become popular in developing very accurate and precise susceptibility maps of various natural disasters to help reduce the occurrence of such calamities. The present study has applied and tested multiple algorithms to map the areas susceptible to wildfire in the Mediterranean Region of Turkey. Besides, the performance of XGBoost, CatBoost, Gradient Boost, AdaBoost, and LightGBM methods for wildfire susceptibility mapping is also examined. The results have revealed the higher testing accuracy of CatBoost (95.47%) algorithm, followed by LightGBM (94.70%), XGBoost (88.8%), AdaBoost (86.0%), and GBM (84.48%) algorithms. Resultant wildfire susceptibility maps provide proper inventories for forest engineers, planners, and local governments for future policies regarding disaster management in Turkey.