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This book employs different parametric and non-parametric panel data models which have been used in history of developed panel data efficiency measurement literature. It assesses the differences of models based on characteristics and efficiency scores measurement using a systematic sensitivity analysis of the results. On the whole twelve parametric and four nonparametric models were studied. Parametric models are classified in four groups in terms of the assumptions made on the temporal behavior of inefficiency. A common issue among all the parametric models is that inefficiency is individual producer-specific. This is consistent with the notion of measuring the efficiency of decision-making units. Non-parametric models are divided into partial and full frontier models. A main contribution of this volume is that it helps to understand differences between parametric and non-parametric models. On empirical part of the volume, technical efficiency of two agricultural strategic crops (cotton and sugar beet) in different provinces of the Iran are analyzed. Using different models, the most efficient and inefficient provinces in cotton and sugar beet production of Iran are recognized.
This volume is a collection of twelve selected empirical studies on the economics of agriculture and natural resources. Twenty-two authors have contributed their research to this volume. Papers of this volume are grouped into three main domains covering: Agricultural Resilience and Sustainability; Agricultural Producers and Consumers; and Energy Use in Agriculture. Organized in an analytical framework and offering comprehensive empirical data, this book focuses on agricultural sustainability and resilience, environmental efficiency, agricultural extension, foreign trade, energy use, and agricultural growth aspects of the Iranian agriculture sector. They demonstrate technical and methodological tools used for the analysis and explain their application in the agricultural sector of Iran. This book will be a valuable read for those managing agricultural enterprises, policy makers, and researchers of agricultural producers and consumers.
This book presents a collection of ten empirical studies on Iran’s sustainable agriculture and agribusiness, grouped into three domains: agricultural prices and commodity market analysis; risk management and climate change; and natural resources and environmental economics. The various studies elaborate on sustainable agriculture, climate change, pest management, natural resources, land-use, agricultural marketing, risk management and insurance in Iran’s agricultural sector. The book also introduces the key microeconomic principles that are applied to agriculture from a suitability perspective, and provides policy recommendation to decision makers and agricultural-product producers. As such it serves as a supplement to textbooks on applied economics, agricultural and environmental economics, and offers students and professionals in agricultural economics, resource economics, risk management, and food policy as well as general economists real-world examples of the principles under discussion. Further, it includes an extensive range of case studies from different regions of the country, which could be applied in agricultural policy making process, making it a useful resource for agricultural planners and decision makers in government agencies.
The book focuses on the impact of natural calamities on the production of cotton and sugar, which are essential for the Indian society. The study explores the relationship between shareholders return of listed cotton companies and cotton production, as well as between shareholders return of listed sugar companies and sugar production.
Originally published in 1965, this case study of the beet sugar industry undertaken by George O. G. Lof and Allen V. Kneese illustrates the economic importance of water to industry. This study delves into the history and technology of the beet sugar industry to demonstrate the economic impact of the water environment and how water waste can be reduced in other industries. This title will be of interest to students of environmental studies.
The Dutch sugar industry and sugar beet research institute initiated the project SUSY (Speeding Up Sugar Yield) as a reaction to decreasing beet prices in relation to the reform of the European Unions sugar regime. The project was aimed at softening the reform’s impact on growers income by improving their knowledge on raising sugar yield and identifying possible cost savings. From each sugar beet growing region in The Netherlands, 26 pairs of ‘type top’ (high yielding) and ‘type average’ (average yielding) farmers were selected, based on the average yield of the farm in 2000-2004. All measures of sugar beet cultivation, costs calculation and phytopathological, agronomical and soil characteristics were investigated from 2006 and 2007 on 75 fields of ‘type top’ and 74 fields of ‘type average’ growers in relation to yield and quality. The factors year and grower caused most of the significant effects on yield, quality and cost variables. The ‘type top’ growers had significantly 20% higher sugar yield in each year compared to ‘type average’ growers, but the total variable costs did not differ. This makes the ‘type top’ growers more efficient in resource use. Costs for manure and fertiliser, ‘other’ and irrigation significantly increased the total variable costs. With higher fungicide costs, sugar yield significantly increased. However, there was no significant relation between the intensity of sugar beet production and sugar yield so that the observed differences in sugar yield were not caused by economical constraints. Based on this study, it can be concluded that the most profitable strategy for the growers is maximising sugar yield and optimising costs. Heterodera schachtii and Beet necrotic yellow vein virus (BNYVV) were mainly found on clay soils. Type top growers on clay soil had significantly lower infestation levels of H. schachtii (4.4x lower, P = 0.008), BNYVV (2.7x lower, P = 0.016) and other foliar symptoms (Pseudomonas, Phoma betae and Verticillium spp. combined) (1.5x lower, P