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- MakaleAçık Erişim2026Scopus SJRQ2Climate 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.
- MakaleYalnız künye2023Scopus SJRQ1Investigating the environmental Kuznets curve hypothesis with recovered paper consumption, human development index, urbanization, and forest footprint
Aydin, M.; Koc, P.; Tumay, M.
The aim of this study, which covers the period from 1991 to 2017, is to analyze the relationships between recovered paper consumption, human development index, urbanization rate, and forest footprint in the framework of the Environmental Kuznets Curve (EKC) hypothesis in the 10 countries that consume the most recovered paper. Considering that wood is the raw material of paper, the study investigates whether the increase in the consumption of recovered paper has a positive effect on the forest footprint. Therefore, unlike other studies, the dependent variable of the EKC model is the forest footprint. The study is original in that it is the first to analyze the effects of recovered paper consumption on environmental degradation in the context of the EKC hypothesis. To analyze the relationships between the variables, we use panel cointegration tests based on AMG and CCE estimators, which allow analysis on both a country and group basis. According to the results, the EKC hypothesis is valid only in the Netherlands. While there is a statistically significant and negative relationship between recovered paper consumption and forest footprint in the Netherlands, there is a statistically significant and negative relationship between urbanization and forest footprint in Italy. Economic and ecological benefits and costs must be considered to measure the net benefit of waste management programs. In addition, to analyze how environmental impacts change over time, ecological footprint and gas emissions during waste generation or disposal should be measured similarly to carbon emissions.
AtıfScopus14WoS14OpenAlex16İncele - MakaleAçık Erişim2023Scopus SJRQ2Investigating the EKC hypothesis with nanotechnology, renewable energy consumption, economic growth and ecological footprint in G7 countries: panel data analyses with structural breaks
Aydin, Mucahit; Koc, Pınar; Sahpaz, Kadriye Izgi
This study investigates the relationship between nanotechnological innovations, renewable energy consumption, economic growth, and ecological footprint for G7 countries within the framework of the Environmental Kuznets Curve (EKC) hypothesis. The study employs panel cointegration tests with structural breaks from 1990–2018. Nanotechnology is expected to reduce environmental degradation by increasing renewable energy consumption and energy saving. In this context, nanotechnological innovations are an essential tool for sustainable development. However, the literature also emphasizes that nanoparticle emissions from nanotechnology can negatively impact human and environmental health in the long term, and these need to be analyzed. In this context, this study is the first to empirically examine the relationship between nanotechnological innovations, renewable energy consumption, economic growth, and ecological footprint within the framework of the EKC hypothesis. The outcomes affirm that all variables are integrated with the long term. The results show that the EKC hypothesis is valid only in the USA. Nanotechnological innovations have a reducing effect on environmental degradation in the USA, whereas; they have an increasing impact on environmental degradation in Italy and the United Kingdom. Renewable energy consumption enhances environmental quality in Italy, Japan, the United Kingdom, and the USA. Based on these empirical findings, the government should pioneer to development of new the lowest nanoparticle-emitting nanotechnologies. And that way, it will be possible to encourage energy savings and renewable energy consumption more safely, and the effectiveness of sustainable development policies will increase.
AtıfScopus73WoS59OpenAlex76İncele - BildiriAçık Erişim2013The link between unemployment rate and real output in Eurozone: A panel error correction approach
Dogru, Bulent; Ozsahin, M
In this paper we investigate the relationship between economic growth andunemployment in Eurozone through the implementation of Okun's Law using annual panel dataset covering the time period 2000-2012. Panel error correction and panel co-integration methods are used to test the linkage between unemployment and growth rate. We also investigate unemployment hysteresis using several non-stationary panel unit root techniques for unemployment hysteresis in all Euroregions. Findings suggest that Okun's Law is valid but coefficients are less thanOkun's coefficient for USA and other empirical studies on developed countries. Also we find that the relationship between economic growth rate and unemployment rate vary between countries.
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