Yazar "Hassan, Arab Dahir" seçeneğine göre listele

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    Assessing the impact of financial obstacles on manufacturing firm's capacity utilization: Bayesian approach
    (University Indonesia, 2023) Hassan, Arab Dahir; Özcan, Rasim; Yönetim Bilimleri Fakültesi, İktisat Bölümü
    This study investigates the relationship between financial obstacles and the capacity utilization of manufacturing firms. It departs from previous studies by employing a Bayesian linear regression analysis. The results demonstrate the considerable negative effect that financial constraints have on the capacity utilization of manufacturing enterprises, while access to credit lines has a positive ef-fect. The sample consists of 1,494 private manufacturing firms in 31 European and Central Asian countries. Financial obstacles were perceived as a major impediment to business operations by 65% of the enterprises surveyed. Furthermore, 52% of enterprises in the sample have access to loans from financial institutions, while 47% have no access to credit lines. This implies that the manufacturing sector’s capacity to tap into financial market resources and surmount financial barriers both is vital to its survival and presents a significant challenge.
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    Empirical analysis of the impact of Turkish bilateral official development assistance on export
    (Universitas Islam Indonesia, 2023) Hassan, Arab Dahir; Dil, Esra
    Purpose ― The main objective of this study is to explore the relationship between bilateral official development assistance and the export of Turkey to 18 Turkish aid recipient countries between 1998 and 2019. Methods ― The study employs the gravity model of international trade to capture the effect of official development assistance on Turkish export to its aid recipient countries and utilizes Panel data econometric analysis. Findings ― The official development assistance (ODA) remains statistically significant across the models, indicating that ODA is one of the significant drivers of Turkish bilateral trade with the aid recipient countries. Implications ― The study argues that Turkey applied ODA as a foreign policy tool to access new markets in the Middle East, Balkans, Africa, and Asia. Turkish exports to developing countries increased due to the upsurged country's foreign aid donation to its recipients. Originality ― This study deviates from other studies in the literature by empirically examining the relationship between bilateral Official development assistance and the export of Turkey.
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    From space to place: Mapping poverty in Turkish regions with NASA's global gridded relative deprivation index
    (Springer, 2024) Hassan, Arab Dahir; Ibrahim, Mahat Maalim
    This study examines the spatial distribution of poverty in Turkish states using zonal statistics techniques. The recently released Global Gridded Relative Deprivation Index (GRDIv1) dataset by NASA has been utilized. The GRDIv1 index contains six pivotal components: Child Dependency Ratio, Subnational Development Index, Infant Mortality Rate, BuiltUp to Non-Built-Up Ratios, VIIRS nighttime lights, and VIIRS Nighttime Lights (VNL) Slope Component. All the components capture various aspects of regional poverty differences. The results show the eastern regions have significantly higher levels of deprivation than the western regions. This disparity is attributed to conflicts, unemployment, and illiteracy in the East, while the West benefits from higher development. The analysis of the ratio of Built-Up Areas to Non-BuiltUp Areas reveals a complex distribution of urbanization and industrialization, with the western Marmara region emerging as a center of development and industrial activity. Moreover, the analysis of Nocturnal Illumination Patterns, based on VIIRS nighttime light data, further confirms the higher levels of development in the west and the deprivation in the east. This study objectively proves that the Eastern region of Turkiye contains areas with much higher deprivation than does central and western regions.
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    Three essays on firm performance constraints: Empirical evidence from European and Central Asia countries
    (İbn Haldun Üniversitesi, Lisansüstü Eğitim Enstitüsü, 2023) Hassan, Arab Dahir; Kaplan, Muhittin
    This study examines the main performance constraints faced by enterprises in Europe and Central Asia. The research consists of three separate essays, each addressing specific research questions, and uses different methodologies, including descriptive statistics, ordinal regression, and Bayesian analysis, tailored to the unique nature and objectives of each essay. The study identifies five key barriers to business performance: Tax rates, financial resource access, skilled labor availability, unregistered firm competition, and political instability. This dissertation departs from previous studies and contributes to the existing academic literature in several ways. Firstly, it introduces evaluating firm performance via fixed asset acquisition or long-term investments, diverging from traditional indicators like sales, employment, and profitability. In addition, the study introduces previously overlooked constructs such as tax bribery, regulatory complexity, and the frequency of inspections by tax authorities, which provide valuable insights into why firms perceive tax rates as a major impediment to their performance. Second, from an econometric perspective, previous research on the determinants of performance at the micro level has typically used traditional binary and ordinal models. Ordinal models, however, assume that the effect of each independent variable on the probability of each outcome level is proportional, which is known as the proportional odds or parallel lines assumption. This assumption is often challenging to meet, and its violation can impact estimate robustness. The study discovered a breach in the proportional odds assumption yet found only minor differences in the model predictions as a result. While the determinants of firm performance have been studied from a frequentist statistical or econometric perspective, criticism has arisen about the limited quantification of uncertainty in the estimates. In contrast, this study uses the Bayesian approach, which is more flexible and provides more reliable estimates of the predictions.