https://hdl.handle.net/20.500.12809/63 2026-04-04T05:01:23Z https://hdl.handle.net/20.500.12809/11017 Reconsidering agricultural credits and agricultural production nexus from a global perspective Özdemir, Dicle Access to credit has been a key component in protecting a country's agriculture sector against uncertainties and climate-related shocks. Agricultural credits may also increase both agribusiness sectors' and farming-related commercial activities' exposure to world markets. This study aims to investigate agricultural credits' short-run and long-run effects on agricultural production using control variables such as foreign direct investments, inflation rate, and government expenditures. We found that credits to agriculture affect value-added agriculture positively in the long-run; specifically, when agricultural credits increase by 1%, value-added agriculture will increase by 0.19%; that is, an increase in credits to the agricultural sector leads to a significant increase in value-added agriculture, while FDI and government size both reduce agricultural value-added across countries. The findings of the pairwise causation test show that bidirectional causal links exist among almost all variables, validating feedback among agricultural value-added, credit to agriculture, FDI, government expenditures, and inflation. This study investigates the impact of agricultural credits on agricultural production, considering factors like foreign direct investments, inflation rate, and government expenditures. The findings reveal a positive long-term relationship, indicating that a 1% increase in agricultural credits leads to a 0.19% increase in value-added agriculture, highlighting the significant role of credit in boosting agricultural productivity. However, foreign direct investment and government size were found to have adverse effects on agricultural value-added, with bidirectional causal links among several variables, demonstrating complex interactions within the agricultural sector. 2023-01-01T00:00:00Z https://hdl.handle.net/20.500.12809/10999 Modelling the impact of climate change and advanced agricultural technologies on grain output: Recent evidence from China Chandio, Abbas Ali; Özdemir, Dicle; Jiang, Yuansheng The adverse effect of rising temperatures on grain output is gradually spreading across China. On the other hand, technical developments have resulted in substantial changes in the agricultural production system over time. Hence, we assess the effect of temperature on grain yields in addition to the potential effect of some technological factors using a panel dataset spanning the period 1996 to 2020 for selected prominent grain-producing provinces in China: Anhui, Hebei, Heilongjiang, Henan, Hubei, Hunan, Jiangsu, Jiangxi, Jilin, Neimenggu, Shandong, Sichuan, and Liaoning. We apply a novel Method of Moments Quantile Regression (MM-QR) and second–generation estimation techniques, which generate consistent and robust results in the presence of cross–sectional dependency (CSD). The empirical findings from the MM-QR estimator reveal that climate change (via temperature) significantly decreases the grain yields in overall quantiles and the higher negative impact was observed in the 75th and 95th quantiles, while technical factors, irrigated area, and financial support play a substantial role in improving the grain yields in China. In addition, the findings from the D–H panel causality method show the various flows of causal links between the selected variables, considering the grain–producing regions of China: grain yields → temperature, pesticide usage → grain yields, and financial support → grain yields. A bidirectional causality association is observed to exist between fertilizer usage ↔ grain yields, pesticide usage ↔ grain yields, and irrigated area ↔ grain yields. To ensure food security, China's prominent grain–growing regions should strengthen their technological innovation efforts and invest in research and development to produce new varieties that can withstand heat and drought stress and produce better grain yields. 2023-01-01T00:00:00Z https://hdl.handle.net/20.500.12809/10956 Missing link in ‘new-normal’ for higher education: nexus between online experiential marketing, perceived-harm, social distancing concern and university brand evangelism in China Aktan, Murat; Anjam, Mahwish; Zaman, Umer; Khwaja, Muddasar Ghani; Akram, Umair Chinese universities were the first to experience the massive shock waves of the COVID-19 pandemic that disrupted higher education globally. Despite extensive research on higher education in the ‘new normal’, empirical evidence on the potential role of online experiential marketing and university brand evangelism is still little to none. To address this critical research gap, the present study is the first to explore university brand evangelism in China and how it is influenced by online experiential marketing. In addition, the moderating effects of perceived harm and social distancing concern on the relationship between online experiential marketing and university brand evangelism were also tested. Based on a sample of university students in China (N = 242) and covariance-based structural equation modeling (CB-SEM), the findings revealed that online experiential marketing (including sense, feel, think, act, and relate dimensions) significantly magnifies university brand evangelism in China. Interestingly, this relationship becomes more strengthened when the Chinese students have a high intensity of perceived harm of COVID-19 and social distancing concerns. These novel findings provide new insights to both policymakers and marketers globally about the powerful medium of online experiential marketing to successfully promote university brands (during and after the global pandemic) using university brand evangelism more strategically. 2023-01-01T00:00:00Z https://hdl.handle.net/20.500.12809/10917 Comparative Analysis of MCDM Methods for the Assessment of Corporate Sustainability Performance in Energy Sector Ersoy, Nazlı; Taslak, Soner Energy is a significant input for production, growth, and development. A sustainable energy sector, where energy production and consumption balance are ensured, constitutes a key point for nature and humanity. In this study, a multidimensional framework is presented to measure corporate sustainability in the energy sector. Based on this framework, the sustainability performance of energy companies operating in the Asia and Europe regions is measured by hybrid multiple-criteria decision-making (MCDM) methods, considering the economic, social and environmental dimensions of sustainability. The Entropy method is preferred to specify the criteria weights, the Proximity Indexed Value (PIV) -Range of Value (ROV) -Grey relational analysis (GRA) -Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) methods are used to rank the alternatives. Sensitivity analysis was applied to test the robustness of the model and it was determined that the criterion weights obtained by different methods had different effects on the rankings. The Copeland method is used to obtain a single rational ranking from different rankings. According to Copeland's results, EN13, EN3, EN10 companies took the first place in economic, environmental and social dimensions, respectively. It is concluded that energy companies in the Asian region are more sustainable than in the European region. Moreover, Thailand is the most sustainable country in the Asian region. The proposed framework can be contributed to the development of the energy sector. 2023-01-01T00:00:00Z