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This edited volume analyzes land utilization data from farm surveys taken in China between 1929 and 1933. This data, which was the foundation for John Lossing Buck's seminal work Land Utilization in China (1937), was thought lost to history until rediscovered in 2000. The book presents the first modern analyses of agricultural economics in Republican China using Buck's micro-data, covering important topics such as nutritional poverty, tenancy issues, land productivity, surplus labor, workers' incomes, credit supply, and regional differences. Through using modern analytical methods, this book presents a more accurate picture of the agricultural economy in the Republican Era and will be of particular interest to agricultural economists, economic historians, and Chinese studies scholars.
This book constitutes the refereed proceedings of the Third International Conference on Computational Logistics, held in Shanghai, China, in September 2012. The 15 revised full papers presented were carefully reviewed and selected from various submissions. The papers are organized in topical sections on maritime shipping; logistics and supply chain management; planning and operations; and case studies.
This book constitutes the refereed proceedings of the Second
International Conference on Computational Logistics, ICCL 2011,
held in Hamburg, Germany, in September 2011.
This edited volume analyzes land utilization data from farm surveys taken in China between 1929 and 1933. This data, which was the foundation for John Lossing Buck's seminal work Land Utilization in China (1937), was thought lost to history until rediscovered in 2000. The book presents the first modern analyses of agricultural economics in Republican China using Buck's micro-data, covering important topics such as nutritional poverty, tenancy issues, land productivity, surplus labor, workers' incomes, credit supply, and regional differences. Through using modern analytical methods, this book presents a more accurate picture of the agricultural economy in the Republican Era and will be of particular interest to agricultural economists, economic historians, and Chinese studies scholars.
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