Yazarlar

  • MakaleAçık Erişim2026
    Innovation and Competitive Characteristics in Local Forest Industry Enterprises: A Case Study; [Inovacijska i konkurentska obilježja lokalnih poduzeća drvne industrije: studija slučaja]

    Komut, Osman; Karabulut, Ayşenur

    The forest products industry makes significant contributions to national economies in terms of basic economic indicators such as employment, expansion into rural areas, added value, investment and exports. This study aims to measure the innovation perception, awareness and competitiveness of small and medium-sized forest products enterprises operating in local areas on the basis of different variables. Within the scope of the study, a data collection tool including on-site observation, interviews and the developed scale was used on enterprises located in a local administrative region. The data obtained were subjected to hypothesis testing and correlation analysis. The findings revealed that the perception of innovation in small and medium-sized forest products industry enterprises is affected by demographic factors related to the enterprise managers, and basic factors related to the enterprise such as the number of employees, field of activity, duration of activity, annual average income, and product distribution channels. Furthermore, it has been determined that innovation awareness decreases as the scale of the enterprises shrinks. As a result, it can be said that the innovation and competition characteristics that are valid in the global and national forest products industry market are not yet fully applicable to local-scale and low-capacity enterprises.

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
  • MakaleAçık Erişim2026
    Climate Change Impacts on Worldwide Cotton Productivity and Agricultural Income: Physiological, Econometric, and Precision Agriculture Perspectives

    Zuhal, Mustafa; Erkencioglu, Bedriye Nazli; Tokel, Dilek; Senol, Celal; Demir, Hacer Handan; Ozyigit, Ibrahim Ilker

    Climate change is expected to affect all sectors of the global economy, with agriculture being particularly vulnerable due to its dependence on temperature and precipitation. Cotton is especially sensitive to these changes as its productivity relies on suitable thermal conditions, water availability, and stable reproductive development. This study investigates the effects of climate change on cotton productivity and agricultural income in seven major cotton-producing countries, including Australia, Brazil, China, India, Pakistan, Türkiye, and the United States, over the period 1971-2023. Long-run relationships were examined using the Westerlund cointegration test, country-specific effects were estimated with the Augmented Mean Group (AMG) estimator and verified using Common Correlated Effects (CCE) approach, while short-run dynamics were assessed through the Dumitrescu-Hurlin panel causality test. Results reveal significant long-run relationships between climate variables, cotton productivity, and agricultural income, although the magnitude and direction of these effects vary across countries. In contrast, short-run effects appear limited and heterogeneous. To strengthen the interpretation of the econometric findings, the results are compared with experimental evidence on cotton heat stress and physiological responses. Together, the evidence indicates that climate change influences cotton productivity mainly through temperature-sensitive processes such as photosynthesis, reproductive development, and fiber formation, underscoring the need for country-specific adaptation strategies and climate-resilient agricultural policies.

    • SDG 2 · Açlığa Son
    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    • SDG 13 · İklim Eylemi
  • MakaleAçık Erişim2026
    The impact of addictive substances on employees’ job performance and workplace safety: A phenomenologi̇cal study

    Doğan, Onur

    This study aims to explore the impact of substance addiction on employees’ job performance and workplace safety through a phenomenological lens. The research focuses on how individuals with substance use disorders perceive their professional experiences, emotional states, and social interactions within the work environment. The study was designed using a qualitative phenomenological method. Semi-structured in depth interviews were conducted with 15 mining employees selected via criterion sampling. The participants, all of whom had a history of substance use, were interviewed across different regions in Turkey. Audio recorded interviews were transcribed and analyzed through thematic analysis. The study adhered to ethical standards and was reported according to the COREQ checklist. Three main themes and related subthemes emerged from the analysis: (1) The impact of substance use on job performance and safety attitudes; (2) Alienation and loss of professional identity in the workplace; and (3) Inner emotional challenges and individual coping strategies. Participants described cognitive difficulties, emotional exhaustion, increased workplace errors, weakened safety compliance, social isolation, and loss of belonging. Some individuals also reported efforts to recover and reestablish self control through personal strategies and peer support. The findings reveal that substance use significantly disrupts professional functionality, emotional stability, and organizational connectedness. The study emphasizes the need for empathy driven, context sensitive support strategies to improve employee well being and workplace safety. By bringing forward the lived experiences of affected workers, this research contributes valuable insights for developing preventive approaches and reinforcing safety culture within occupational settings.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
  • MakaleYalnız künye2026
    Reflections of Employees' Digital Addiction Experiences on Workplace Distraction, Safety Perception, and Collective Responsibility: A Phenomenological Study

    Doğan, Onur

    This study aims to examine how digital addiction based experiences of employees influence attention processes, safety awareness, and collective responsibility in the workplace. It particularly seeks to identify challenges in digitally intensive environments regarding cognitive load, behavioral reflexes, and institutional risk communication. The research employed a phenomenological design with semi- structured interviews conducted with 19 employees from various sectors across Turkey. Criterion sampling was used, and interviews continued until data saturation was reached. All interviews were audio recorded, transcribed verbatim, and analyzed using Colaizzi's (1978) seven step method. Reporting followed the COREQ checklist to ensure rigor and transparency. Thematic analysis revealed three main themes: Cognitive Load and Deterioration in Safety Perception, Behavioral Disconnection and Erosion in Safety Attitudes, and Organizational Silence and Collective Collapse in Risk Awareness. These findings show that digital addiction negatively affects attention, reflexes, safety behaviors, and institutional reporting processes. Digitalization influences not only work efficiency but also employees' safety behaviors and organizational risk communication. Constant digital stimuli cause distraction, disrupt safety practices, and weaken collective responsibility. The study provides insights into how digital addiction transforms workplace safety culture and recommends comprehensive prevention strategies for employers, managers, and policymakers.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
  • MakaleAçık Erişim2026
    Investigation of Noise Exposure Levels in Furniture Industry: The Impact of Enterprise Scale and Machine Operational States; [Istraživanje razina izloženosti buci u industriji namještaja: utjecaj veličine poduzeća i radnih stanja strojeva]

    Öztürk, Erhan; Komut, Osman; Fidan, Muhammed Said

    The furniture industry is characterized by the intensive use of cutting, shaping, and surface-treating machinery, which naturally generates high noise levels. This study aimed to assess noise exposure levels in furniture manufacturing facilities by examining the effects of enterprise scale, machine types, and working conditions (loaded and unloaded) on occupational health and safety (OHS). The study was conducted in a total of 30 enterprises, 10 at each enterprise scale level. Physical risk factor data for noise were recorded using on-site measurements for the machines and production lines used at each enterprise level, depending on various variables. ANOVA, T-test, and Correlation analyses were performed to determine the relationships between the variables. The results revealed that small-scale businesses were the riskiest group in terms of noise levels. Generally, although measured noise levels in workplaces remain below the highest exposure action value of 85 dB, critical levels have been detected under specific machinery and working conditions. In machine-based assessments, the critical machines exceeding the highest exposure value of 85 dB are: In small-scale businesses – planing machine (95.26 dB), circular saw (88.08 dB) and band saw (86.81 dB); in micro-scale businesses – CNC drilling machine (91.13 dB), CNC sizing machine (88.01 dB) and band saw (85.95 dB); and in medium-scale businesses – circular saw (85.24 dB). As a result of the study, it has been emphasized that long-term noise exposure poses a risk to employees’ hearing health and that preventive measures are therefore mandatory.

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
  • MakaleYalnız künye2026
    A reliability generalization meta-analysis of job insecurity scales: Evidence from hospitality and tourism research

    Polat, Eray

    The study examines the pooled reliability estimates of job insecurity (JI) scales employed in hospitality and tourism (H&T) research. By synthesizing reported reliability coefficients and identifying moderators influencing score consistency, this meta-analytic study consolidates the fragmented psychometric evidence in the field. Reliability coefficients were derived from 140 independent samples comprising 56,265 respondents. Pooled reliability estimates were calculated separately for each scale, and moderator analyses were performed to explain the variability. Findings indicate that De Witte's (2000) scale is the most frequently utilized scale. Pienaar et al.’s (2013) scale yielded the highest estimate (α=.94, 95% CI [.89.,97]), whereas Hellgren and Sverke's (2003) scale demonstrated the lowest (α=.82, 95% CI [.78.,85]). Moderator analyses revealed that scale version, publication year, number of items, sample size, scale mean, and gender distribution significantly influenced reliability estimates. The study provides robust, context-dependent evidence to inform the selection of JI scales.

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
  • MakaleYalnız künye2026
    Cash holdings in an emerging market technology sector: evidence from BIST firms within the trade-off and pecking order frameworks

    Pala, Fahrettin; Karalı, Muhammet; Karabayır, Mehmet Emin; Henni, Mohamed Djafar; Barut, Abdulkadir

    This study investigates the determinants of corporate cash holdings in technology firms listed on Borsa İstanbul (BIST) by integrating the Trade-off Theory and the Pecking Order Theory. Using annual panel data covering the period 2013–2023, the study examines how firm-specific characteristics and macroeconomic factors influence corporate liquidity decisions in an R&D-intensive sector. The empirical analysis is conducted using a random-effects panel model estimated with Driscoll–Kraay standard errors to account for heteroskedasticity, autocorrelation, and cross-sectional dependence. The robustness of the findings is further assessed through firm fixed-effects, firm-and-year fixed-effects, one-year lagged specifications, and an interaction analysis. The results show that profitability is the most important determinant of corporate cash holdings, providing strong support for the Pecking Order Theory, whereas financial leverage exhibits a weak negative effect. In contrast, firm size, liquidity needs, R&D expenditures, dividend payments, GDP growth, and interest rates do not have statistically significant direct effects on cash holdings, while inflation exhibits weak evidence of a negative relationship. Moreover, the interaction analysis reveals that interest rates positively moderate the relationship between R&D expenditures and corporate cash holdings, indicating that innovation-oriented technology firms tend to retain larger cash reserves under tighter monetary conditions. The findings highlight that macroeconomic conditions influence corporate cash holdings not only directly but also through their interaction with firm-specific characteristics. The study contributes to the corporate finance literature by providing new evidence from an emerging market and offers practical implications for corporate managers and policymakers in designing effective corporate liquidity management strategies under changing monetary conditions.

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
  • MakaleYalnız künye2026
    The relationship between compassion fatigue and levels of depression, anxiety, and stress in nurses: A multicenter cross-sectional study

    Coşar, Dilan Aktepe; Ayyıldız, Neşe Işcan; Şimşekli, Derya

    Aim This study aimed to investigate the relationship between compassion fatigue and depression, anxiety, and stress levels in nurses. Method This research is a multicenter, cross-sectional study. The study was conducted with 283 nurses in three state hospitals in northeastern Turkey using a purposive sampling method. Research data were collected by the researchers using a Demographic Form, the Compassion Fatigue Scale (CFS), and the Depression, Anxiety, Stress Scale (DASS-21). Descriptive statistics, normality assessment, one-way ANOVA, t -tests, Pearson correlation and multiple linear regression analysis were performed using SPSS 26 software. Results A total of 283 nurses participated in the study. The mean CFS score was 83.97 ± 13.76, while the mean DASS-21 scores were 8.05 ± 4.10 for depression, 4.89 ± 2.97 for anxiety, and 9.22 ± 4.32 for stress. Correlation and regression analyses revealed a strong positive correlation between compassion fatigue and depression (r = 0.574, p < 0.001), a moderate positive correlation with anxiety (0.349, p < 0.001), and a strong positive correlation with stress (0.583, p < 0.001). Multiple regression analysis revealed that depression, stress, male gender, working as a nursing education specialist, and job dissatisfaction were variables significantly associated with compassion fatigue. Conclusion Based on these results, it is necessary to evaluate compassion fatigue in nurses in conjunction with psychological factors as well as individual and professional characteristics. Furthermore, it is important to support nurses' psychological health, develop strategies to address compassion fatigue, and increase individual resilience.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
  • MakaleYalnız künye2026
    Exploring Different Types of Career Anxiety Among Young Adults: A Latent Profile Analysis

    Ciminli, Alaattin; Aydin, Burak

    This study aimed to identify distinct latent profiles of career anxiety among young adults and to examine the predictors of membership in these profiles by relating them to various factors, including academic unit and year of study. The data were collected from a sample of 509 young adults enrolled at universities in Türkiye, comprising 409 females (80.4%) and 100 males (19.6%). The instruments used for data collection included a personal information form, Career Anxiety Scale, Hope Scale, Perceived Social Support Scale, Perfectionism Scale, and the Coping Self-Efficacy Scale. Latent profile analysis (LPA) was employed to identify latent profiles, while multinomial logistic regression (R3STEP) analysis was conducted to examine the relationships between latent profile membership and sociodemographic variables. The results of the LPA revealed three distinct latent profiles: high anxiety and vulnerable (Profile 1), low anxiety and high psychosocial strength (Profile 2), and moderate group (Profile 3). The findings indicated that when Profile 1 was used as the reference group, academic unit type and class level did not significantly predict membership in Profile 2. However, vocational school status significantly predicted membership in Profile 3. When Profile 2 was used as the reference group, it was observed that both vocational school students and fourth-year students were significantly less likely to be members of Profile 3.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
  • MakaleAçık Erişim2026
    Energy Consumption in the EU: The Role of Productivity and Efficiency-Driven Technology; [AB’de Enerji Tüketimi: Üretkenlik ve Verimlilik Odaklı Teknolojinin Rolü]

    Çakır, Mehmet Ali; Ökte, Mehmet Kutluğhan Savaş

    This study investigates how productivity and productivity-intensive technologies affect energy consumption in selected EU countries from 1996 to 2021. Despite technological progress, fossil fuels still dominate, posing environmental and economic concerns. Using the AMG method, results show that multifactor productivity significantly reduces energy use, while productivity-intensive technologies offer smaller but meaningful reductions. In contrast to prior research linking technology to higher energy demand, this study highlights the importance of efficiency-focused innovation. Findings support the EU’s 2030 energy reduction target and suggest policymakers should prioritise productivity-intensive technologies, on-the-job training, and digital tools to decouple growth from energy consumption.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 13 · İklim Eylemi
  • MakaleAçık Erişim2026
    Institutional and relational underpinnings of vertical FDI spillovers in international buyer-supplier relationships: Insights from automotive suppliers

    Nas, Tulay Ilhan; Sahin, Fatih; Golgeci, Ismail; Okan, Tarhan

    This study takes a fresh approach to explore the mechanisms of foreign direct investment (FDI) spillovers in the context of emerging economy firms, specifically focusing on the Turkish automotive industry. Given emerging economy firms' inherent constraints in R&D and resources, FDI serves as a critical avenue for them to acquire technological and managerial knowledge. While previous literature has extensively analyzed spillovers from an economic perspective, our research introduces a neoinstitutional perspective in organizational sociology to understand how these spillovers manifest and influence productivity and innovation. Importantly, we examine the role of international buyer-supplier relationships, a key aspect in shaping spillover outcomes. In so doing, we draw on rich qualitative data from 7 Turkish direct and sub-suppliers of large automotive multinational enterprises (MNEs). Our findings underscore the significant influence of the institutional context and relational mechanisms on the effectiveness of FDI spillovers, revealing why anticipated positive effects may not always materialize. This study contributes to the existing literature by addressing the limitations of prior research and provides practical insights for policymakers in emerging economies, empowering them to leverage FDI for economic growth and organizational success.

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
  • MakaleYalnız künye2026
    Some are more equal than others: workplace favoritism and hospital employees’ intent to quit

    Özbek, Mehmet Ferhat; Banai, Moshe; Stefanidis, Abraham; Bekar, Fevziye; Roberts, Sara J.

    Purpose – This study refines equity theory by explaining the mediating roles of job frustration and job dissatisfaction, as well as the moderating role of personal income in the relationship between discriminatory workplace favoritism and hospital employees’ intent to quit. Design/methodology/approach – The study consists of two samples. In the first sample, survey questionnaires were administered to 267 public hospital employees in Turkey. In the second sample, 1, 426 university healthcare students in Turkey answered four different scenarios that narrated school favoritism as well as students’ frustration, dissatisfaction and intent to quit. Structural equation modeling and ANOVA statistical analyses were conducted. Findings – Workplace favoritism positively affected employees’ intent to quit through the mediation of job frustration and job dissatisfaction. The mediating role of job frustration between workplace favoritism and intent to quit was stronger for high-income than for low-income employees and students. Practical implications – Favoring one employee may result in voluntary organizational exit by other employees, which is costly for the organization. Favoritism may encourage employees who were not previously prone to favoritism to seek favoritism. This may create a cycle that spreads favoritism further within the organization. Originality/value – This is the first study to investigate the role of income in the relationship between workplace favoritism and employees' intent to quit.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    • SDG 10 · Eşitsizliklerin Azaltılması
  • MakaleYalnız künye2026
    The Impact of Financial Stability, Globalization, and Economic Stability on Ecological Footprint From the Perspective of EKC Hypothesis: New Evidence From a Fourier Panel Data Analysis for BRICS-T Countries

    Sancar, Canan; Akbaş, Yusuf Ekrem; Suluk, Seher; Atay Polat, Melike; Aslan, Alper

    The Environmental Kuznets Curve hypothesis, which states that the increase in growth up to a certain income level increases environmental pollution and the increase in growth after reaching this income level decreases environmental pollution, has recently started to be investigated by including economic development and financial development in the framework of this hypothesis to better investigate the hypothesis. This study aims to investigate the impact of financial stability, economic stability, globalization, energy use, and growth on the ecological footprint in Brazil, Russia, India, China, South Africa, and Turkey. In addition, the Environmental Kuznets Curve hypothesis is also tested while examining this relationship. The Panel Fourier approach is applied to test these relationships in Brazil, Russia, India, China, South Africa, and Turkey over the period 1996–2022. The coefficient estimation results show that economic stability, economic globalization, growth, and energy use have a positive impact on the ecological footprint in Brazil, Russia, India, China, South Africa, and Turkey, but financial stability reduces the ecological footprint. Moreover, an inverted-N relationship was found between economic growth and pollution in these countries, which means that the Environmental Kuznets Curve is invalid in these countries in the relevant period. The results obtained from causality analysis support the results of coefficient estimation. Accordingly, a unidirectional causality was found from explanatory variables to the ecological footprint in most of Brazil, Russia, India, China, South Africa, and Turkey.

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
  • MakaleAçık Erişim2026
    Financial literacy and psychological vulnerability to financial exploitation: the roles of financial anxiety, self-confidence, and behavior

    Çam, Alper Veli; Soydaş, Şafak Sönmez; Özbek, Adem; Çam, Handan

    Background: Financial exploitation constitutes a significant psychological vulnerability shaped by cognitive resources, emotional regulation, and financial decision-making behaviors. While financial literacy is widely recognized as a protective factor, limited empirical evidence disentangles the distinct psychological roles of financial knowledge, attitudes, and behaviors in reducing vulnerability to financial exploitation. Methods: This cross-sectional study analyzed survey data from 565 adults in Türkiye. Financial literacy was conceptualized as a multidimensional construct comprising financial knowledge, financial attitude, and financial behavior. Vulnerability to financial exploitation was assessed through three psychosocial indicators: self-confidence, financial anxiety, and financial satisfaction. Structural Equation Modeling (SEM) was employed to examine the relationships among cognitive, behavioral, and emotional components. Results: Financial knowledge was significantly associated with lower financial anxiety and higher financial satisfaction but showed no direct effect on self-confidence. Financial behavior emerged as the most robust protective factor, significantly enhancing self-confidence and financial satisfaction while substantially reducing financial anxiety. Financial attitude was positively related to financial satisfaction but did not significantly influence anxiety or self-confidence. Financial anxiety demonstrated a strong negative association with both self-confidence and financial satisfaction. Conclusions: Financial exploitation vulnerability is driven by interconnected psychological mechanisms rather than cognitive factors alone. The findings highlight the central role of behavior-based financial competencies and emotional regulation in strengthening financial resilience. Interventions aimed at preventing financial exploitation should prioritize behavioral skill development and psychological risk screening alongside traditional financial education approaches.

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
  • MakaleYalnız künye2026
    Do special economic zones support regional development in transition economies? The case of Kazakhstan

    Önder, Kübra; Şahin, Muhammet

    This study examines the impact of Special Economic Zones (SEZs) in Kazakhstan between 2000 and 2023 on regional development, explicitly accounting for institutional and spatial heterogeneity. For causal identification, it employs a Forward Orthogonal Deviations-based GMMf (System GMMf) estimator to address endogeneity and reverse causality, complemented by an event-study framework to trace the dynamic evolution of policy effects. The results reveal strong path dependence in regional growth and show that the effectiveness of SEZ incentives is non-linear and systematically conditioned by the depth of regional production structures, proxied by the Value Added Index. Empirical evidence suggests that SEZ incentives stimulate growth in low value-added regions, while potentially distorting market signals and generating crowding-out effects in regions with high value-added production. Dynamic analyses indicate that the negative shock observed immediately after implementation reflects temporary adjustment costs and resource reallocation, with effects converging towards zero over time. Overall, the findings imply that SEZs are not automatic engines of growth but require careful calibration to local production structures to mitigate risks of policy saturation and adverse selection. The study provides an original contribution to the literature on the design and life-cycle management of next-generation industrial policies in transition economies.

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
  • MakaleAçık Erişim2026
    Nurses’ Workplace Discrimination Experiences and Their Reflections on Career Development: A Qualitative Study

    Koroglu Kaba, Nagihan; Apaydin, Emine; Kulakaç, Nurşen

    Aim: This study was conducted to examine how nurses experience discriminatory behaviors in the workplace and how these experiences are reflected in their career development. Background: Although discrimination constitutes a significant challenge in nurses’ professional lives, qualitative research examining how these experiences influence their career development processes remains limited. Methods: This phenomenological study was conducted with nurses working in a public hospital in Turkey. Semi-structured individual interviews were conducted with 21 nurses during the study. Participants were selected from various clinical settings through purposive sampling. Data were analyzed using Colaizzi's seven-step content analysis method. Ethics committee approval was obtained for this study. The Consolidated Criteria for Reporting Qualitative Research checklist guided the study reporting. Results: Five main themes with seven subthemes emerged: (1) Discrimination Experiences (types of discrimination, sources of discrimination, emotions/feelings), (2) Reporting Behavior (decision and consequences of reporting, reasons for not reporting), (3) Impact of Discrimination on Career Development (supportive effect, hindering effect), (4) Coping Strategies, and (5) Suggestions for Preventing Discrimination. Discussion: These themes highlight that discrimination is a multidimensional phenomenon and that holistic approaches must be developed at emotional, structural, professional, and institutional levels to cope with it. Conclusion: For some nurses, discrimination acts as a transformative process that supports career development, while for others, it represents a significant barrier to professional advancement. Implications for Nursing/Nursing Policy: The findings highlight the need to strengthen reporting mechanisms, establish a supportive work culture, and implement inclusive institutional policies that promote career development.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    • SDG 10 · Eşitsizliklerin Azaltılması
  • MakaleAçık Erişim2026
    Foreign Direct Investment and Growth Impact on Pollution in the EU Countries: Empirical Analysis of the EKC and Pollution Halo Hypothesis

    Pilatin, Abdulmuttalip; Ayaydın, Hasan; Soto, Gonzalo Hernández; Pala, Fahrettin

    Foreign direct investment inflows are an important factor in the development of countries. Rising FDI can cause unexpected environmental consequences by changing technology use or energy consumption. The study examined the relationships between fossil energy consumption, carbon emission rate, and FDI for 27 European Union countries in the period 2006–2021. In addition, for the first time in this study, EU countries were divided into two according to their income levels and re-analysed. Panel data method and robust Driscoll and Kraay (1998) estimator were used in empirical analyses. The research findings show that a one-unit increase in FDI across EU countries results in a 0.055% increase in GDP and fossil fuel consumption, respectively, and a −0.155% decrease in pollution. These results support the pollution halo hypothesis, which posits that foreign direct investment reduces environmental degradation. The research findings support the pollution halo hypothesis, which states that FDI reduces environmental degradation. It also confirms that the EKC hypothesis, which states that there is an inverted U-shaped relationship between pollution and GDP, is valid in 27 EU countries. However, it has been determined that the pollution haven hypothesis is valid in low-income EU countries. Low-income EU countries should encourage more foreign investment in technology-intensive and environmentally friendly areas and develop various environmental regulations in this direction. The results obtained from the research are expected to provide benefits and insights to policy makers, researchers, and industrialists to increase environmental awareness. The results suggest that low-income EU countries should encourage technology-intensive and environmentally friendly investments, improve green financing and investment conditions, and develop regulations to strengthen environmental standards, so that they can limit environmental degradation while preserving the general welfare-enhancing benefits of FDI.

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 13 · İklim Eylemi
  • MakaleAçık Erişim2026
    Topic Modeling of Occupational Accident Narratives in the Manufacturing Sector Using BERTopic: Sector-Specific Accident Pattern Analysis

    Aktaş, Esra; Atmaca, Hatice Ediz

    Despite technological developments and increasing awareness in the field of occupational health and safety, occupational accidents remain one of the fundamental problems that continue to have significant economic and social consequences. Particularly in the manufacturing sector, the diversity of production processes, differences in the machinery and equipment used, and the complexity of working environments cause occupational accidents to exhibit risk patterns that are both shared across sectors and specific to individual sectors. In this context, this study conducted a topic modeling analysis using the BERTopic algorithm on 1,600,000 occupational accident narratives to identify sector-specific risk patterns and error types associated with 24 different economic activities within the manufacturing sector. To improve topic modeling performance, a multilingual SentenceBERT-based embedding model and a Turkish-specific tr-MTEB embedding model were compared, and the analysis was carried out using the model that provided higher representational capacity and better topic separation performance for the occupational accident narratives. The findings show that, although the sectors differ in terms of production structure, types of machinery and equipment used, material characteristics, and working environments, occupational accidents largely cluster around similar risk mechanisms. As a result, it was determined that the BERTopic method makes the sectoral risk patterns embedded in occupational accident narratives more visible and provides an analytical basis for developing sector-specific prevention strategies in occupational safety practices.

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
  • MakaleYalnız künye2026
    Tourism in a Warming World: Climate Change and Inbound Expenditure in Leading Tourism Economies

    Kömürcüoğlu, Ömer Faruk; Kömürcüoğlu, Elif Duygu; Hayaloğlu, Pınar

    Climate change is a global risk reshaping tourism through destination attractiveness, service continuity, and travel risk perception. Yet tourism research has largely focused on traditional determinants such as income, price competition, and global integration, while multidimensional evidence on climate impacts remains limited. This study examines the link between climate change and tourism inbound expenditure in 12 leading tourism economies over 2004–2019. Climate change is measured using a PCA-based index combining per capita CO2 emissions with temperature and precipitation volatility. This approach captures both average climate conditions and fluctuations in the climate regime. MMQR is employed to account for heterogeneous effects, with economic size, exchange rate, and globalization included as controls. Results show that increases in the climate change index significantly reduce tourism inbound expenditure. Robustness is confirmed by PCSE and FGLS estimators, while causal linkages are assessed using the HPJ test. By showing that multidimensional climate pressure constrains the expenditure performance of major tourism economies, the study extends the application of destination resilience theory to a macroeconomic setting. It also highlights the need to integrate climate adaptation, resilient infrastructure, and ecosystem protection into sustainable tourism planning.

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    • SDG 13 · İklim Eylemi
  • MakaleYalnız künye2026
    ⁠Fertility, family structure, and female labor force participation: evidence from Southern Europe and Türkiye

    Beken, Hikmet Gülçin; Kirer Silva Lecuna, Hale

    This study investigates how fertility, family structures, and institutional environments shape women’s labor force participation in Southern Europe (Greece, Italy, Spain, Portugal) and Türkiye. Using balanced panel data from 2015 to 2022 and fixed effects models with Driscoll–Kraay standard errors, the analysis identifies a negative relationship between fertility and female employment, though only at marginal levels of statistical significance. Robustness checks using Ridge regression and principal component analysis confirm this finding across alternative specifications. Significant country-level fixed effects reveal considerable heterogeneity, with Portugal and Spain exhibiting higher baseline participation rates and Türkiye recording notably lower values. While the empirical model does not directly measure institutional support, childcare availability, or cultural norms, the comparative literature suggests that cross-country differences in these dimensions likely contribute to the observed patterns. The findings point to the potential importance of integrated policy approaches, including affordable childcare and flexible work arrangements, in supporting women’s employment alongside fertility.

    • SDG 5 · Toplumsal Cinsiyet Eşitliği
    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    • SDG 10 · Eşitsizliklerin Azaltılması