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Öğe Price estimation of selected grains products based on machine learning for agricultural economic development in Türkiye(2024) Keskin, Abdulkadir; Ersin, İrfan; Atalan, AbdulkadirThis study aims to estimate the price fluctuations of essential grain products, namely bread wheat (Triticum aestivum), durum wheat (Triticum durum), barley (Hordeum vulgare), and corn (Zea mays), in Türkiye using machine learning (ML) algorithms. Using data from January 2, 2020, to January 10, 2023, the study employs algorithms such as random forest (RF), neural network (NN), support vector machine (SVM), and linear regression (LR). Independent variables include oil prices, currency exchange rates, and grain production volumes. The random forest (RF) algorithm provided the best results with the highest R² values, while NN and LR showed relatively lower performance. The study highlights the significant impact of production and consumption volumes on grain prices and underscores the importance of ML algorithms in predicting these prices amidst changing conditions. Investments in agricultural technologies should be increased to improve data collection and analysis processes, as this is crucial for preventing price fluctuations in the agricultural sector.Öğe Promoting sustainable economic growth through natural resources management, green innovations, environmental policy deployment, and financial development: Fresh evidence from India(Elsevier Ltd, 2024) Manigandan, Palanisamy; Alam, Md Shabbir; Murshed, Muntasir; Öztürk, İlhan; Altuntaş, Sümeyya; Alam, Mohammad MahtabGiven the fact that the Indian government has ratified several international and local agreements for expressing its willingness to promote sustainable economic growth, this study assesses the impacts of natural resource, financial development, green-energy technologies, and environmental policies on India's sustainable economic growth-related performances which is measured by the nation's multifactor productivity-adjusted level of economic output. In this regard, this study uses annual level data spanning from 1990Q1 to 2019Q4 and utilizes them for conducting advanced econometric tests. According to the long-run findings, sustainable economic growth in India is negatively impacted by natural resource consumption and positively impacted by green innovations, financial development, and environmental policy implementations. Besides, the Fourier Toda Yamamoto test's findings show that sustainable economic growth is unidirectionally caused by green innovations and financial development. These results have important policy implications, especially for India's prospects of establishing sustainable economic growth, especially by stimulating green innovations and deploying effective environmental policies. Considering the key findings, the Indian government may enhance the stringency levels of regulatory measures to curb the sustainable economic grwoth-inhibiting effects of natural resources. Further, to control the sustainable economic growth-retarding factors, the government should simultaneously scale monetary allocations for financing projects related to the development of environmental patents so that technologies can be developed for improving environmental well-being while expediting the renewable energy transition process across India.Öğe The dynamic relationship between resources, finances, and sustainable development: An in-depth analysis(Elsevier Science Ltd, 2023) Pan, Changchun; Yu, Jingxia; Huang, Yuzhe; Altuntaş, SümeyyaThe expansion of the economy and the use of natural resources have been identified as the main causes of environmental degradation. As a result, there is a need for sustainable and environmentally-friendly growth. However, the concept of "pollution havens" is becoming increasingly relevant, with businesses relocating to developing countries in search of more lax environmental regulations. This could lead to higher-than-desirable rates of pollution and environmental damage. To address this issue, this study assesses the role of natural resources (NTR), Foreign Direct Investment (FDI), Financial Development (FDT), and Green Finance (GFN) using QARDL analysis. The study found that NTR, FDI, and FDT increased CO2 emissions, while GFN reduced them in the short and long run. The findings provide valuable insights for policymakers, who can use the information to develop policies that promote economic growth while reducing environmental pollution. Additionally, the study highlights the need to prevent businesses from exploiting lax environmental regulations in developing countries. Overall, the findings of this study underscore the importance of balancing economic development and environmental sustainability and call for the prioritization of green initiatives in policy development.
