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Copyright of Journal of Financial Politic & Economic Reviews / Finans Politik & Ekonomik Yorumlar is the property of Journal of Financial Politic & Economic Reviews / Finans Politik & Ekomomik Yorumlar and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Technological innovation is considered a key element of industrialization and determines the efficiency of a country's pattern of opening up. The role of innovation in building a strong export system is related to various channels of domestic innovation and international technology spillovers. The impact of innovation on exports can be associated with domestic R&D efforts and technological spillovers of foreign R&D. The strongest consensus in the theoretical literature is that exports are often a by-product of the innovative activities of domestic firms. This study investigates the causality relationship between the number of R&D personnel working in the manufacturing industry and exports in Turkey. The study covers the period 2009-2022. Toda Yamamoto causality analysis was used to test causality and a bidirectional causality relationship was found both from exports to R&D personnel and from R&D personnel to exports. In order to further increase the export competitiveness of Turkey's manufacturing industry, some suggestions can be made, such as paying attention to the development of digital infrastructure, optimizing the integration of the manufacturing sector and the digital economy, and increasing international cooperation in digital technology innovation. [ABSTRACT FROM AUTHOR]

Copyright of Ankara University SBF Journal / Ankara Üniversitesi SBF Dergisi is the property of Ankara University SBF Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Turkish manufacturing industry is in the top three in terms of occupational accident frequency among sectors. Therefore, there is a need to determine accident cause-effect relationships in order to improve occupational safety and minimize the risks that cause occupational accidents in the manufacturing industry. An integreated data driven approach is proposed to find patterns among occupational accidents in Turkish manufacturing systems. The proposed approach uses multinomial logit model (MLM) and decision tree algorithms, namely C5.0, Classification and Regression Trees (C&RT), The quaternion estimation (QUEST), Chi-square automatic interaction detector (CHAID) ve Random Trees. In this study, 307,590 occupational accidents in the Turkish manufacturing industry between 2013 and 2019 are used. It is found that there is a statistically significant relationship among division, geographical location of the accident, year, deviation, hour day, gender and age for all accidents with injury, death and loss of limb according to the absence of disability. Additionally, division, geographical location of the accident and year are among the top five predictors based on decision tree algorithms. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to examine how government incentives affect SME employment in Türkiye's manufacturing sector. Methodology: The dataset used in this study was derived from a survey conducted by a privately owned London-based company with the assistance of Türkiye's Ministry of Industry and Technology. Ordinary least squares and two-stage least squares regression techniques were used to analyze the relationship between government incentives and employment. Findings: In the analysis, we found that between 2013 and 2016, jobs were created by Turkish manufacturing SMEs with the use of state assistance. Firm-level characteristics, including firms' age, capacity utilization rate, and innovative activities, were also found to have a substantial impact on SME employment. Originality: Our study is the first to examine the impact of incentives on employment in manufacturing SMEs in Türkiye using a micro dataset administered to 10.063 manufacturing firms by the Ministry of Industry and Technology.

Purpose: This study analyses the relationship between capital structure and profitability levels of manufacturing industry companies operating in Türkiye between the years 2006-2020. Methodology: The relationship between capital structure and the profitability of Turkish manufacturing industry companies was analyzed using the standard error estimator proposed by Driscoll and Kraay (1998). In this context, sub-panel data models were created. Findings: The findings showed that capital structure changes (short-term debt, long-term debt, and total debt) in the manufacturing industry are negatively related to both return on assets and return on equity. Originality: It is thought that this study will contribute to the existing literature in terms of better understanding the relationship between the changes in the capital structure decisions of the manufacturing industry companies operating in Türkiye, both their return on assets and their return on equity, taking into account their sub-sectors.

The aim of this study is to investigate the determinants of the manufacturing industry production index (LIPI) in the case of Turkey. The variables chosen for this purpose are the loans extended by the banking sector to the manufacturing industry (LC), the interest rate applied to these loans (INT), the manufacturing industry capacity utilization rate (CU), the manufacturing industry domestic producer price index (LPI). In addition to these variables, the 2008 global economic crisis and the COVID-19 health crisis were added to the model as dummy variables. The data used are monthly data for the period 2007:1-2022:9 published by the Banking Regulation and Supervision Agency (BDDK) and the Central Bank of the Republic of Turkey (CBRT). This relationship was tested using the Autoregressive Distributed Lag Model (ARDL). The findings obtained from the study revealed that there is a cointegration relationship between the manufacturing industry production index and selected variables. This study, which was prepared using current data, is expected to contribute to the literature in terms of revealing the effects of loans, loan interest rates and capacity utilization rates provided to the manufacturing industry by the banking sector, on the output potential of the sector under the influence of the 2008 global economic crisis and COVID-19 health crisis. [ABSTRACT FROM AUTHOR]

Copyright of Verimlilik Dergisi is the property of Verimlilik Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Verimlilik Dergisi is the property of Verimlilik Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this study, the effect of real effective exchange rate on the data of manufacturing industry export and import, which is obtained by classifying the products according to technology density, is being investigated. It is aimed at determining the effect of real effective exchange rate on import and export of high, medium-high, medium-low and low-technology product groups in the current study, within which the work of quarterly data for the period 1996-2018, for Turkey is taken into account. In accordance with this purpose, in order to determine the relationship between the related variables, Johansen cointegration within the scope of VAR analysis, Toda-Yamamoto causality test, effect response function and variance decomposition methods were used. According to the findings of the analysis when real effective rates and shocks compared in terms of exports high-tech products are more sensitive when compared to other technology products, in terms of imports high technology products are more sensitive to low technology products. Moreover, except for the medium-low technology level, it is observed that the exchange rate elasticity of imports increases as the technology level of the products increases. Therefore, it can be said that the effect of real effective exchange rate on manufacturing foreign trade varies according to technology density for Turkey. According to the Toda-Yamamoto causality analysis, no causal link between the real effective exchange rate and export was found in any of the export models, while the causality relationship between the exchange rate and the import in import models was determined at all technology levels except medium-high technology. [ABSTRACT FROM AUTHOR]

Copyright of Gazi Journal of Economics & Business is the property of Gazi Journal of Economics & Business and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this study, it is aimed to determine the specialization level in Türkiye's foreign trade in the 2010s in terms of the general and sub-industries of the manufacturing industry and to examine the development trends. The level of specialization in the manufacturing industry in general is determined by using both the Michaely index and the foreign trade specialization index in the 2010-2019 period. Specialization analyses in sub-sectors are made according to the foreign trade specialization index, taking into account the feature that includes additional information in terms of intra-industry trade. In these analyses, the positions of the industries are listed and their development trends are examined in terms of export and import-based specialization. It is determined that there is no significant change in the specialization level of manufacturing industry trade in general. However, significant differences have been identified in the development trends and technological qualification structures of sub-industries, both in the level of specialization, in the form of export or import-based or transition from one to another. [ABSTRACT FROM AUTHOR]

Copyright of Turkish Studies - Economics, Finance, Politics is the property of Electronic Turkish Studies and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this study, the relationship between domestic sales and exports of the manufacturing industry, which has a strategic importance in Turkey's exports, is examined for the years 2010-2020. The data set of the study consists of manufacturing industry enterprises that are traded in Borsa Istanbul (BIST), included in the BIST Industrial Index, and with an asset size of over 100 million TL as of 2010. In the study, panel cointegration tests were applied within the framework of panel data analysis. The long-term regression coefficients of the model were examined and the Panel Corrected Standard Errors (PCSE) estimator was used for model estimation. In addition, panel causality test was applied to examine the causality relationship between export and domestic sales variables. It has been concluded that there is a cointegration relationship between the domestic sales and exports of 68 industrial enterprises included in the BIST Industrial Index as of the 2010-2020 period. It has also been determined that there is a complementary relationship between these two variables in the economic sense within the framework of the relevant literature. According to the results of the empirical analysis, it was found that the 1% increase in the domestic sales of the manufacturing industry enterprises included in the BIST Industrial Index increased the exports of these enterprises by %0,77, while the 1% increase in the exports of these enterprises increased their domestic sales by %0,17. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Emerging Economies & Policy is the property of JOEEP: Journal of Emerging Economies & Policy and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Since the establishment of the Republic of Turkey, active economic policies have been implemented continuously for the development of the manufacturing industry. Examining and developing this sector, which has a 20% share in GDP, is very important for policy recommendations. In this study, it was aimed to examine the effects of imports and exports and human capital on the manufacturing industry, and in this context, the Cobb-Douglas production function was calculated. Within the scope of the analysis in which two different models were established, the Driscoll-Kraay Fixed Effects Model with Standard Errors was estimated. In both models, the share of labor and manufacturing goods imports in goods imports was found to be negative. Capital, human capital and the share of manufacturing goods exports in goods exports were determined as positive. In addition, while the constant term is insignificant in both models, the exchange rate is found insignificant in the second model. [ABSTRACT FROM AUTHOR]

Purpose: Globally taken similar measures to prevent the spread of the COVID-19 pandemic caused disruptions in the supply and demand schedules and increase in uncertainty. The shock of this pandemic has forced many firms to take new actions and make new business decisions. The aim of this study is to examine the heterogeneity of the production, employment and policy decisions taken by the firms against the pandemic across productivity distribution.Methdology: For this purpose, pandemic specific survey responses of a representative panel of 1207 Turkish manufacturing firms matched with pre-pandemic tendency survey responses and administrative data and cross sectional models are employed.Findings: Estimation results show that productive firms of the Turkish manufacturing sector have taken firmer stance against the devastating economic impact of the pandemic at the initial wave. They are more likely to continue the production and less likely to reduce the employment and to benefit from government supports.Originality: This study uses unique firm-level dataset that enable to investigate the effects of the pandemic and mitigation policies on firms using representative survey data for Turkish manufacturing sector. This will contribute to the existing narrow empirical literature on the impact of COVID-19 on manufacturing firms by providing new evidence on a large developing country, Türkiye, based on representative firm-level dataset.

Copyright of PRAKSIS is the property of PRAKSIS and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Cash flow statement is reported with cash flow components consisting of fundamental, investing and financing activities. A financial pattern is realized according to the positive and negative cash flow direction that occurs in each of these components. With these realized cash flow patterns, eight possible cash flow profiles are determined. In this context, the aim of the study is to examine the cash flow profiles of the companies operating in the manufacturing industry sector traded in Borsa Istanbul. For this purpose, the cash flow table data of a total of 70 enterprises consisting of enterprises in the manufacturing industry sub-sectors for the period 2012-2021 were used. According to the review, It has been determined that the enterprises are represented by profile 2, which has the quality of successful enterprise, profile 4, which has the quality of growing enterprise, and profile 6, which has the quality of young enterprise, in all years, respectively. [ABSTRACT FROM AUTHOR]

The aim of this study is to determine which option is valid for unbalanced growth in Turkey during the 1968-2006 period. For this purpose, first, determinations were made regarding the options in unbalanced growth. There are two options in an unbalanced growth strategy. The first of these is to allocate investments to direct productive activities first, while the second option is to allocate investments primarily to social overhead capital, i.e. infrastructure. In the study, firstly, the resources allocated for direct productive activities, that is, the manufacturing industry, and the resources allocated to social overhead capital, that is, infrastructure, are compared. In the second step, the relationship between the resource allocated to direct productive activities and the resource allocated to social overhead capital was tested. According to the results of the study, the excess capacity in social overhead capital stimulates direct productive activities at the end of 3 periods and leads to an increase in manufacturing industry investments. 10% increase in infrastructure investments increases the manufacturing industry investments by 4.87% as a result of a 3-year lag. No statistically significant results were obtained regarding the effect of manufacturing industry investments on infrastructure investments. In the study, as infrastructure investments, transportation and energy investments were also examined separately. Accordingly, a 10% increase in transportation investments increases manufacturing industry investments by 5.081% as a result of a 3-year lag. A 10% increase in manufacturing industry investments reduces transportation investments by 6,095% as a result of 3 years lag. Since significant relationships could not be determined between manufacturing industry investments and energy investments, no conclusion was reached regarding unbalanced growth. These results are largely compatible with one of Hirschman's unbalanced growth options, and point to an unbalanced growth path in which an excess capacity in social overhead capital prevails. [ABSTRACT FROM AUTHOR]

Copyright of Verimlilik Dergisi is the property of Verimlilik Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Istanbul Commerce University Journal of Social Sciences / İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi is the property of Istanbul Commerce University Journal of Social Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Istanbul Commerce University Journal of Social Sciences / İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi is the property of Istanbul Commerce University Journal of Social Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Erciyes Akademi is the property of Erciyes Universitesi Sosyal Bilimler Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of the Cukurova University Institute of Social Sciences is the property of Cukurova University Institute of Social Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yildiz Social Science Review is the property of KARE Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Financial Politic & Economic Reviews / Finans Politik & Ekonomik Yorumlar is the property of Journal of Financial Politic & Economic Reviews / Finans Politik & Ekomomik Yorumlar and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of TESAM Academy Journal is the property of Tesam Academy and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Optimum: Journal of Economics & Management Sciences / Ekonomi ve Yönetim Bilimleri Dergisi is the property of Optimum: Journal of Economics & Management Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)