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Öğe Determination of Olive Oil Market Segmentation with Conjoint Analysis(Kahramanmaras Sutcu Imam Univ Rektorlugu, 2025) Dogan, Hasan Gokhan; Bayramoglu, Zeki; Agizan, Kemalettin; Candemir, SerhanChanging living conditions in the world have led to a transformation in consumption habits. It can be said that some factors that are thought to be effective on consumption are also affected by this. Therefore, it is inevitable to evaluate the determinants of the consumption dimension as a dynamic process. In this study, important factors in olive oil consumption preference were analyzed by conjoint analysis. The research was conducted throughout T & uuml;rkiye. Accordingly, it was determined that the most important factor in olive oil preference is the place where olive oil is purchased. This is followed by quality, packaging, price, and color. As a result, it can be said that olive oil purchased directly from the producer is preferred in the first place based on the idea that the olive oil purchased should be safe or natural, rather than the idea that price is perceptually decisive in consumer preference. When the preference characteristics are combined, it can be stated that the most preferred criterion is olive oil with a price of $9/lt, cold pressed, glass packaged, light colored, and sold directly by the producer. It can be suggested as a correct approach that the actors who make market organizations should take these criteria into consideration and turn to the appropriate organization at every stage of the supply chain.Öğe Energy Use and Carbon Emissions of Walnut Production in Türkiye(Springer, 2024) Candemir, Serhan; Agizan, Kemalettin; Dogan, Hasan Goekhan; Bayramoglu, Zeki; Akdogan, AhmetThe objective of this study is to investigate the energy efficiency and greenhouse gas emissions associated with walnut production. The research will provide valuable insights into the environmental impact of walnut production. The study was conducted during the 2020-2021 agricultural season in Kahramanmara & scedil; province of T & uuml;rkiye. The study findings revealed that the energy required for walnut production includes 29,193 MJha-1 (50.53%) of pesticide, 11,533 MJha-1 (19.96%) of machinery, 9443 MJha-1 (16.35%) of fertiliser, 3675 MJha-1 (6.36%) of diesel, 1249 MJha-1 (2.16%) of electricity, and 1163 MJha-1 (2.01%) of farm manure energy. The total energy input and output were 57,772 MJha-1 and 109,444 MJha-1, respectively. The total carbon emissions from walnut production were calculated to be 2242.23 kgCO2-eqkg-1. Of all emission sources, the use of machinery was to have the highest contribution with 56.91%.Öğe Energy Use and Carbon Emissions of Walnut Production in Turkiye (vol 66, pg 1347, 2024)(Springer, 2026) Candemir, Serhan; Agizan, Kemalettin; Dogan, Hasan Gokhan; Bayramoglu, Zeki; Akdogan, Ahmet[Abstract Not Available]Öğe Energy Use and GHG Emissions in Olive Production: A Comparison of Irrigated and Rainfall Conditions(Springer, 2025) Bayramoglu, Zeki; Candemir, Serhan; Agizan, Kemalettin; Dogan, Hasan GoekhanThe objective of this study was to examine the energy efficiency and greenhouse gas (GHG) emissions associated with olive production under both irrigated and rainfall conditions. The findings of this research will provide valuable insights into the environmental impacts of olive production. The study was conducted in the province of Kahramanmara & scedil; during the 2020-2021 agricultural production season. The study findings indicate that the total input energy required for olive production under irrigated and rainfall conditions is 174,331.3 MJ ha-1 and 129,115.55 MJ ha-1, respectively. In olive production, the primary energy input under irrigated conditions was chemical fertilizer (38.67%), while the primary energy input under rainfall conditions was diesel fuel (38.59%). The total energy output in olive production under irrigated and rainfall conditions was calculated as 41,534.83 MJ ha-1 and 29,710.55 MJ ha-1, respectively. The GHG emissions per kilogram in olive production were calculated as 0.24 kg CO2 for 1 kg of olives produced under irrigated conditions and 0.20 kg CO2 for 1 kg of olives produced under rainfall conditions.Öğe Evaluating Energy Efficiency and Carbon Emissions in Banana Cultivation: the Case of Antalya Province in Türkiye(Springer, 2025) Candemir, Serhan; Agizan, Kemalettin; Dogan, Hasan Gokhan; Bayramoglu, ZekiThe aim of this study is to determine the energy efficiency of banana production and the carbon emissions during the production process. For this purpose, a survey study was conducted in Antalya Province, T & uuml;rkiye, in the 2021-2022 agricultural production season. Within the scope of the survey study, the input elements and technical coefficients of banana producers were recorded, and the primary data of the study were collected. The research results revealed that a total of 69,045.29 MJ ha-1 energy input was used in banana production. It was calculated that the total energy input originated from 57,228.45 MJha-1 (82.89%) nitrogenous fertilizer, 5301.59 MJha-1 (7.68%) diesel input, 2147.54 MJha-1 (3.11%) machinery use, 1923.94 MJha-1 (2.79%) labor, and 1258.76 MJha-1 (1.82%) pesticide use. In total, 97.17% of the energy input is provided from non-renewable energy sources, and this result is a risk factor in terms of the sustainability of agriculture. The total carbon emission from banana production was calculated as 2371.23 kg CO2-eq for the entire production, and 0.047 kg CO2-eq per kilogram of banana. It was determined that 40.2% of the total emission was caused by nitrogenous fertilizers, 29.0% by labor, and 11.0% by diesel use. The research findings reveal that fertilization is the most important input in both energy use and carbon emissions. For the sustainability of agricultural production, it is suggested that technical norms be taken into consideration in chemical fertilizer applications and that monitoring processes be developed. In addition, directing efforts toward more environmentally friendly alternatives that can be equivalent to chemical fertilizers can be considered a solution.Öğe Game-theoretic DEA optimization for sustainable agricultural carbon trading: Evidence from Türkiye's maize production(Pergamon-Elsevier Science Ltd, 2026) Hamidoglu, Ali; Candemir, Serhan; Bayramoglu, Zeki; Dogan, Hasan Gokhan; Agizan, Kemalettin; Kadry, SeifedineEffective agricultural carbon policy requires reliable monitoring and frameworks that consider efficiency, welfare, and adoption. Although monitoring systems are typically stronger in developed countries, they are costly to maintain, whereas in developing countries they are often limited or insufficient. We hypothesize that a performance-based carbon policy integrated with welfare and farm decision behavior improves suitability for heterogeneous agricultural settings under limited emissions data. This paper proposes a Forward-Looking Cooperative Cap-and-Trade Carbon Pricing (FCTCP), policy that assesses farms' carbon performance using carbon-equivalent resource, operational, and agrochemical inputs instead of direct carbon emission data, while integrating farm-level decision-making, cooperative carbon trading, and a welfare indicator aligned with emission performance. In this framework, farms are classified using Data Envelopment Analysis into efficient, near-efficient, and inefficient categories, and their policy participation is modeled through a cooperative Nash game. Nonlinear strategic interactions are solved using a hybrid optimization scheme consisting of four metaheuristic algorithms, including Particle Swarm Optimization, Artificial Bee Colony, Grey Wolf Optimizer, and Genetic Algorithm, and a nonlinear quasi-Newton optimization method, L-BFGS-B, to identify robust Nash equilibria. A case study of 104 maize farms in T & uuml;rkiye shows green welfare improvements of 9.65% for near-efficient farms and 15.23% for inefficient farms while achieving the low-carbon benchmark. Key determinants of adoption include efficiency-based caps, asymmetric trading rules, and carbon exchange without discounting. The results demonstrate that FCTCP is a practical, welfare-linked, and forward-looking policy mechanism capable of guiding early-stage carbon transitions in agricultural systems lacking mature carbon monitoring infrastructure.Öğe Long-term effects of some determinants in the agricultural sector on CO2 emissions: Panel data analysis by income groups of world countries(United Arab Emirates Univ, 2024) Dogan, Hasan Gokhan; Candemir, Serhan; Bayramoglu, Zeki; Agizan, KemalettinClimate change is defined as one of the biggest problems of the third millennium. All countries in the world are striving to produce policies on this issue and achieve a common consensus. Regulations are being made in various sectors and efforts are continuing to adopt ecofriendly production techniques. Just as climate change affects all sectors, it is also affected by the production activities of the sectors. One of these sectors is the agricultural sector. Inputs and production techniques used in agriculture create direct environmental costs. The production techniques used by countries depending on their income level and development level contribute to the climate change process to a certain extent. In this research, the effects of the inputs used in agricultural production on CO2 emissions according to the income levels of the countries of the world were investigated by panel data analysis. According to the results obtained, the effect of the arable land size of low and low-middle income group countries, the pesticides they use in agriculture, the animal fertilizers they use in agricultural production, the CO2 level released from the energy they use in agriculture, and the effect of their agricultural nitrogen use on the total CO2 level is statistically significant. While the effect of pesticide uses and the amount of nitrogen used in agriculture by middle-high income countries is statistically significant, it can be said that the amounts of pesticides used by high-income countries in agriculture, animal fertilizers used in agricultural production, the level of CO2 released from the energy they use in agriculture and their use of agricultural nitrogen are statistically significant. While the results obtained reveal the relationship between the amount used and CO2 emissions, they also indicate that the inputs used can be quality and environmentally friendly inputs. In classical suggestions, suggestions are made such as controlling input levels and preventing excessive use. However, the increasing world population and the resulting increase in nutritional needs emphasize the importance of optimal input use in agricultural production. It makes it important that qualitative, ecofriendly and effective inputs should be used rather than input usage possibilities and quantity-dimensional control.Öğe Long-term interactions among food prices, exchange rate and household real income in Türkiye(United Arab Emirates Univ, 2025) Dogan, Hasan Gokhan; Agizan, Kemalettin; Bayramoglu, Zeki; Candemir, SerhanFood inflation can be expressed as an increase in the general level of food prices in a certain period. The rate of food inflation in the total inflation in T & uuml;rkiye can be expressed as 25%. While food price increases directly affect inflation, they also exert great pressure on low-income households. In particular, the COVID-19 process and panic-induced demand shocks after the Russia-Ukraine war, sudden changes in monetary policies, and disruptions in the supply chain were directly reflected in food prices. Considering that exchange rate increases and inflation increases occur all over the world, examining the current situation quantitatively is considered important in terms of food inflation and access to food. In this study, the interactions between the real disposable income of households, food inflation, and the dollar exchange rate in T & uuml;rkiye between 2006 and 2022 were examined. According to the results obtained with the help of time series analysis, the increase in food inflation had a negative effect on disposable real income, whereas the dollar exchange rate had a positive effect. In the fight against food inflation, increasing the supply through productivity increases in agricultural production, adopting subsidies that will minimize costs in agriculture and agriculture-related sectors as state policy, ensuring the sustainability of all departments connected to the food supply chain, and introducing new approaches in inflation fight strategies according to income groups are medium and long term solutions. This will contribute to the economic welfare of households and to the economic growth process based on effective demand.Öğe Reducing energy use and greenhouse gas emissions through ınput optimization in Türkiye(Springer, 2024) Candemir, Serhan; Agizan, Kemalettin; Bayramoglu, Zeki; Dogan, Hasan GokhanThe relationship between agricultural production and climate change is bidirectional. As a production activity contingent on climatic conditions, it is the sector most susceptible to fluctuations in climate. However, the sector also contributes to climate change through the generation of energy and the release of carbon emissions associated with production activities. At present, carbon emissions from agricultural production constitute 24% of the total carbon emissions. It is of the utmost importance to reduce the use of fossil fuels and chemicals in agricultural production systems in order to mitigate the effects of global climate change. In order to achieve this, it is essential that agricultural production optimizes inputs without compromising food security. The principal objective of this study is to present an alternative method for reducing energy consumption and carbon emissions by optimizing inputs in sunflower production in Konya province, Turkey. The study analyses the changes in energy use and carbon emissions resulting from optimized input use according to the technical efficiency levels of the enterprises, while maintaining a constant yield. This is achieved by optimizing the inputs used in sunflower production. The results demonstrate 3.16% reduction in energy consumption and approximately 3.68% reduction in carbon emissions in comparison to the current input utilization composition. Upon examination of the technical efficiency levels of the enterprises, it is evident that optimizing the input utilization combinations of those with lower technical efficiency levels results in 7.94% energy savings and a 9.03% reduction in carbon emissions. The results of this study will contribute to the reduction of environmental impacts and the spread of sustainable agricultural practices by optimizing energy consumption and carbon emissions from agricultural production.












