Congestion is an important externality that causes negative welfare effects on individuals using a natural resource. This paper resolves congestion issues in a high-density urban forest of Turkey via probit panels using a random utility framework. Some components of the New Environmental Paradigm (NEP) scale are incorporated into probit panels to understand recreationists' environmental attitudes to congestion pricing for shifting congestion levels. Those components are sensitivity to sustainable development, biodiversity and efficient resource use. The results offer important insights to policy makers who are confronted with two environmental management options, which are resource-restriction or resource-enlarging policies. Environmental attitudes dictate that resource enlarging policy may increase aggregate welfare up to US$472,500/year if the site is managed at low congestion levels.

The Environmental Kuznets Curve (EKC) is an important environmental indicator that exhibits an inverted U-shaped curve between a specific measure of environmental pollution and per capita income. The environmental pollution risk parameter used in this study was inorganic fertilizer. The study assessed a Critical Environmental Risk Threshold (CERT) value by considering basic variables, such as the amount of long-term total groundwater, arable land, Nitrate Vulnerable Zones and water withdrawal rates. The CERT value could provide researchers and policy makers with new insights into whether or not countries are exceeding their critical environmental threshold points. The countries investigated included Germany, the Netherlands, Turkey, India, Spain, France, Italy, China, Brazil and the USA. The results indicate that the use of inorganic fertilizer in the Netherlands and Germany exceeds their relative turning points above their CERT values and that these countries should therefore review their agri-environmental management policies.

The asymmetric effects of global and national factors on agricultural production negatively affect the sustainability of agriculture in Turkey. This study seeks to explore those impacts on wheat prices by focusing on key input prices such as diesel, fertilizers, and substitute barley prices and wheat production. Unlike studies that use crude oil prices as agricultural input parameters, this study aims to address the lack of behavioural variables in time series studies by considering diesel and fertilizer prices. The Vector Autoregressive (VAR) model analysis examines the effect of barley prices as a substitute for wheat, while the Granger causality analysis is conducted to assess the causal relationships between variables. Additionally, unlike previous studies that primarily focus on causality between variables or the effects of lagged values, this study investigates the dual effects of explanatory variables. Furthermore, impulse response functions are utilized to analyse the dynamic interactions among the variables and to identify symmetric and asymmetric relationships. Granger causality analysis indicates that wheat production in Türkiye is influenced by wheat prices; however, production does not impact prices. Wheat prices are not market-driven, and price interventions aim to ensure agricultural sustainability. The absence of causality between the wheat production amount and its price emerged bilaterally as barley price/wheat production/barley price. An analysis of wheat price responses to shocks in fertilizer and diesel prices reveals an asymmetric pattern. Wheat prices reacted more strongly to negative shocks, while their response to positive shocks was more moderate. These findings indicate the existence of asymmetric relationships between wheat prices and these two agricultural inputs, underscoring the asymmetric nature of price transmission in agricultural markets. They also highlight the policy requirements associated with ensuring food price stability and sustainable agricultural practices as well as a crucial lesson: policymakers in developing countries should prioritize structural reforms over interventionist policies that distort market signals.

Global warming and climate change have become issues that recently have caused much concern in the world. Countries that perform their economic activities without thinking about future generations have had to focus on “sustainability” issues since local and global environmental issues have been experienced. In this context, global warming problems have become one of the most important environmental topics occupying the world agenda and are causing intensive scientific and political discussions. One of the causes of global warming is increasing greenhouse gases, CO₂, CH₄, N₂O, CFC, etc., in the atmosphere. Especially in developing countries, growing populations, industrial development, and increasing demand for energy have triggered greenhouse gas emissions. Yet we cannot ignore the contributions of developed countries to greenhouse gas emissions. In fact, developed countries have brought the world’s attention to sustainability and environmental management systems after contributing negatively to world pollution. While all these discussions are going on, a new issue is the negative effect of greenhouse gas emissions caused by animal husbandry. In order to meet the global meat demand, intensive industrial and traditional husbandry is preferred worldwide. This situation causes increased greenhouse gas emissions and may cause significant problems to the environment and to sustainable agriculture. By considering the negative contribution of animal husbandry to global warming issues, countries may have to enact reforms in animal husbandry policies or pay the price for their contribution to greenhouse gas emissions in the future. The purpose of this study is to present policy options for Turkey, EU-12 countries, and Central European countries in regards to this topic. These analyses will shed light on animal husbandry practices and contribute to the knowledge level of political decision makers and the public.

This paper presents the results of a contingent valuation for evaluating environmental quality in the Atatürk Urban Forest of Bursa, Turkey. The environmental quality parameter under investigation at this recreational site is congestion. Congestion is an important externality having impacts on visitors’ welfare at this site. Two distinct models were employed in this study. A qualitative response model was employed to find covariate effects depending on shifting congestion levels. The other model used was the survivor model. The survivor model brings new insights to congestion pricing literature to find the mean willingness to pay for shifting congestion levels changing from level-I to level-V. It is a useful method for congestion pricing when covariate impacts are not important for the analyst. According to the survivor model results, respondents evaluated congestion level-I, which is the lowest congestion level, with an amount of USD 32.08 per visit. The value of congestion level-V, which is highest congestion level, was USD 4.34 per visit. If these amounts are aggregated into total visit rates, they correspond to USD 2,245,600 and USD 303,800 for congestion levels-I and V, respectively. Differences between these values are welfare losses of this public good. The outcomes of this paper may help policy-makers resolve environmental management issues.