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The main purpose of the study was to investigate the effects of climatic change on potato yield and yield variability in Agro-Ecological Zones (AEZs) of Iran during 2041–2070 (2050s). The Statistical Downscaling Model (SDSM) was performed in this study to downscale the outputs of the General Circulation Model (GCM) and to obtain local climate projections under climate scenarios for a future period. The Just and Pope Production function was used to investigate the impacts of climatic change on potato yield. The results showed that the effects of future climatic change on potato yield and its variability would vary among the different AEZs. Potato yield would change in the range from −11% to 36% across different AEZs during the 2050s. Yield variability is expected to vary from −29% to 6%. Much more generally, the results indicated that the major potato producing zones would experience a decrease in mean potato yield in the presence of climate change. Our findings would help policymakers and planners in designing appropriate policies to allocate the lands under potato cultivation among different zones. These results also have important implications for adopting ecological zone-specific strategies to mitigate the reduction in potato yield and meet food security.
Samira Shayanmehr; Shida Rastegari Henneberry; Mahmood Sabouhi Sabouni; Naser Shahnoushi Foroushani. Climate Change and Sustainability of Crop Yield in Dry Regions Food Insecurity. Sustainability 2020, 12, 9890 .
AMA StyleSamira Shayanmehr, Shida Rastegari Henneberry, Mahmood Sabouhi Sabouni, Naser Shahnoushi Foroushani. Climate Change and Sustainability of Crop Yield in Dry Regions Food Insecurity. Sustainability. 2020; 12 (23):9890.
Chicago/Turabian StyleSamira Shayanmehr; Shida Rastegari Henneberry; Mahmood Sabouhi Sabouni; Naser Shahnoushi Foroushani. 2020. "Climate Change and Sustainability of Crop Yield in Dry Regions Food Insecurity." Sustainability 12, no. 23: 9890.
The completion of a meaningful, hands-on international experience is a critical and required component of the Master of International Agricultural degree Program (MIAP) at Oklahoma State University. Understanding the impacts of the international experience/internship is important in designing a curriculum that well-prepares students for their personal, social, academic, and future professional life. Hence, the objective of this study is to evaluate the MIAP students’ international experiences and to determine the factors that impact international experience outcomes. The benefits of international experiences are divided into five outcome areas that include personal, interpersonal, academic, employment, and civic impacts. The data is collected through an online survey of MIAP students. The variance based partial least squares structural equation modeling is used to develop three separate models with the goal of statistically measuring academic, employment, and civic impacts. The results of this study show that interns believe that international experience had enhanced each of their abilities. The findings of all three models show that the Humphreys travel grant has a statistically significant effect on interpersonal impacts. Additionally, the length of internship has a statistically significant association with personal impact in all three models, while it has a statistically positive indirect impact on academic, employment, and civic impact models, which indicates the full mediation effect. In addition, the number of hours worked weekly during the internship is found to have a significant positive relationship with employment impacts.
Shida Rastegari Henneberry; Riza Radmehr. Quantifying impacts of internships in an international agriculture degree program. PLOS ONE 2020, 15, e0237437 .
AMA StyleShida Rastegari Henneberry, Riza Radmehr. Quantifying impacts of internships in an international agriculture degree program. PLOS ONE. 2020; 15 (8):e0237437.
Chicago/Turabian StyleShida Rastegari Henneberry; Riza Radmehr. 2020. "Quantifying impacts of internships in an international agriculture degree program." PLOS ONE 15, no. 8: e0237437.
During the last decade, the rising trend in energy prices and its potential effect on food prices have become a controversial issue between policy-makers and economists. Therefore, research addressing the relationship between food and macroeconomic variables, such as energy prices, will be useful in providing information for the design of appropriate economic policies. This study uses data from Iran to examine the impacts (short- and long-term) of exchange rate and energy prices on food prices. Iran is a good case study as in recent years its consumers have faced a rapid increase in both fuel and food prices. The variables employed in this study are the prices of ten food products, exchange rate (the value of Iranian rial per US dollar), and petroleum prices. All data in this study are from the Statistical Centre of Iran (SCI). We employ the panel unit root test, Pedroni co-integration tests, Pooled Mean Group (PMG), Mean Group (MG), and Dynamic Fixed Effects (DFE) estimation techniques, applied to a panel of monthly prices for ten food products for the period of March 1995 to February 2018. Results show that in both the short- and long-run, food prices would increase in response to an increase in energy prices. Findings also suggest that the appreciation of the United States Dollar (USD) in terms of the Iranian rial exerts a positive and significant impact on food prices in the long run.
Riza Radmehr; Shida Rastegari Henneberry. Energy Price Policies and Food Prices: Empirical Evidence from Iran. Energies 2020, 13, 4031 .
AMA StyleRiza Radmehr, Shida Rastegari Henneberry. Energy Price Policies and Food Prices: Empirical Evidence from Iran. Energies. 2020; 13 (15):4031.
Chicago/Turabian StyleRiza Radmehr; Shida Rastegari Henneberry. 2020. "Energy Price Policies and Food Prices: Empirical Evidence from Iran." Energies 13, no. 15: 4031.
Agriculture has been identified as one of the most vulnerable sectors affected by climate change. In the present study, we investigate the impact of climatic change on dryland wheat yield in the northwest of Iran for the future time horizon of 2041–2070. The Just and Pope production function is applied to assess the impact of climate change on dryland wheat yield and yield risk for the period of 1991–2016. The Statistical Downscaling Model (SDSM) is used to generate climate parameters from General Circulation Model (GCM) outputs. The results show that minimum temperature is negatively related to average yield in the linear model while the relationship is positive in the non-linear model. An increase in precipitation increases the mean yield in either model. The maximum temperature has a positive effect on the mean yield in the linear model, while this impact is negative in the non-linear model. Drought has an adverse impact on yield levels in both models. The results also indicate that maximum temperature, precipitation, and drought are positively related to yield variability, but minimum temperature is negatively associated with yield variability. The findings also reveal that yield variability is expected to increase in response to future climate scenarios. Given these impacts of temperature on rain-fed wheat crop and its increasing vulnerability to climatic change, policy-makers should support research into and development of wheat varieties that are resistant to temperature variations.
Samira Shayanmehr; Shida Rastegari Henneberry; Mahmood Sabouhi Sabouni; Naser Shahnoushi Foroushani. Drought, Climate Change, and Dryland Wheat Yield Response: An Econometric Approach. International Journal of Environmental Research and Public Health 2020, 17, 5264 .
AMA StyleSamira Shayanmehr, Shida Rastegari Henneberry, Mahmood Sabouhi Sabouni, Naser Shahnoushi Foroushani. Drought, Climate Change, and Dryland Wheat Yield Response: An Econometric Approach. International Journal of Environmental Research and Public Health. 2020; 17 (14):5264.
Chicago/Turabian StyleSamira Shayanmehr; Shida Rastegari Henneberry; Mahmood Sabouhi Sabouni; Naser Shahnoushi Foroushani. 2020. "Drought, Climate Change, and Dryland Wheat Yield Response: An Econometric Approach." International Journal of Environmental Research and Public Health 17, no. 14: 5264.
China is one of the largest sources of outbound tourists coming to the United States. We used data from a choice experiment to determine whether Chinese tourists are interested and willing to pay for agritourism tour packages in which the U.S. state of Oklahoma is the rural destination. Our research is important because agritourism is a growing source of farm revenue, international tourists have potential to accelerate this growth, and China is the largest market for international tourism. Results suggest that, from various agritourism packages offered to them, Chinese travelers are price conscious but willing to pay significant amounts for packages that provide more local foods, that allow them to visit more event and recreation sites, and stay in cabins rather than farmstead accommodations. We also find evidence of significant heterogeneity in Chinese willingness to pay for agritourism attributes.
Tong Wu; Shida Rastegari Henneberry; John N. Ng’Ombe; Richard T. Melstrom. Chinese Demand for Agritourism in Rural America. Sustainability 2020, 12, 3052 .
AMA StyleTong Wu, Shida Rastegari Henneberry, John N. Ng’Ombe, Richard T. Melstrom. Chinese Demand for Agritourism in Rural America. Sustainability. 2020; 12 (7):3052.
Chicago/Turabian StyleTong Wu; Shida Rastegari Henneberry; John N. Ng’Ombe; Richard T. Melstrom. 2020. "Chinese Demand for Agritourism in Rural America." Sustainability 12, no. 7: 3052.
This study investigates the effects of Angola’s agricultural, manufacturing, and mineral exports on the country’s economic growth using data from 1980 to 2017. An Autoregressive Distributed Lag (ARDL) model is employed to estimate the effect of sectoral exports on economic growth. The estimation results show that while exports from all three sectors (manufacturing, mineral, and non-mineral) have driven Angola’s economic growth in the long-run; only non-manufacturing (agricultural and mineral) exports have led its growth in the short-run. Moreover, growth in non-export GDP was driven by mineral exports in the long-run and agricultural exports in the short-run. Considering the statistically significant and positive impact of mineral exports on the Angolan GDP as well as on its non-export GDP, this study points to a lack of evidence supporting the Dutch disease phenomenon in Angola.
Titus Isaiah Zayone; Shida Rastegari Henneberry; Riza Radmehr. Effects of Agricultural, Manufacturing, and Mineral Exports on Angola’s Economic Growth. Energies 2020, 13, 1494 .
AMA StyleTitus Isaiah Zayone, Shida Rastegari Henneberry, Riza Radmehr. Effects of Agricultural, Manufacturing, and Mineral Exports on Angola’s Economic Growth. Energies. 2020; 13 (6):1494.
Chicago/Turabian StyleTitus Isaiah Zayone; Shida Rastegari Henneberry; Riza Radmehr. 2020. "Effects of Agricultural, Manufacturing, and Mineral Exports on Angola’s Economic Growth." Energies 13, no. 6: 1494.
Water markets in developing countries are difficult to implement due to social, environmental, and technical restrictions. However, the primary concern in irrigation districts with a lack of a functioning market mechanism is the economically efficient allocation of water. In this light, the objective of this study is the development of an Economic-Operational framework that could be used for the most economically efficient allocation of water. This framework is expected to provide an infrastructure for delivering volumetric mutually-related main economic components: Positive Mathematical Programing (PMP) and the Model Predictive Control (MPC) which is added as an operational model component. The economic model (PMP) simulates the existing conditions surrounding the agricultural activities and calculates the agricultural sector’s income, as well as the economic value of water, considering current cropping patterns and the economic value of water. Consequently, the operational model (MPC) distributes and delivers water to the agricultural units based on the weighted average of water’s economic value. Operational performance of the entire canal system is then assessed based on the customized operational assessment indicators for developing the framework. Finally, the last part of the framework includes performance evaluation of the approach introduced in the present study with respect to sustainable development goals, using the multi-criteria decision-making (MCDM) method. For this purpose, the effect of any changes in the calculated volume of water, through employing the framework, on the economic, social, and environmental indicators can be observed. This framework is expected to provide a guideline for the water authorities in ranking the inter-sectoral impacts of economic, social, and environmental effects of the operational scenarios. The developed framework provides a mechanism in which managers and planners of irrigation districts can test and assess their policies in different schemes before implementation. Also, the framework will produce the economic results of possible actions of farmers involving different managerial, climatic, and agricultural scenarios. The developed framework is then tested on the Roodasht Irrigation District, located in the semi-arid region in Iran. The simulation results are then examined.
Yousef Hassani; Seied Mehdy Hashemy Shahdany; J.M. Maestre; Banafsheh Zahraie; Mohammad Ghorbani; Shida Rastegari Henneberry; Suren N. Kulshreshtha. An economic-operational framework for optimum agricultural water distribution in irrigation districts without water marketing. Agricultural Water Management 2019, 221, 348 -361.
AMA StyleYousef Hassani, Seied Mehdy Hashemy Shahdany, J.M. Maestre, Banafsheh Zahraie, Mohammad Ghorbani, Shida Rastegari Henneberry, Suren N. Kulshreshtha. An economic-operational framework for optimum agricultural water distribution in irrigation districts without water marketing. Agricultural Water Management. 2019; 221 ():348-361.
Chicago/Turabian StyleYousef Hassani; Seied Mehdy Hashemy Shahdany; J.M. Maestre; Banafsheh Zahraie; Mohammad Ghorbani; Shida Rastegari Henneberry; Suren N. Kulshreshtha. 2019. "An economic-operational framework for optimum agricultural water distribution in irrigation districts without water marketing." Agricultural Water Management 221, no. : 348-361.