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The Good Muck: Toward an Excremental History of China
doi: 10.5282/rcc/8135
Why is the Chinese practice of using human body wastes as agricultural fertilizer so fascinating to Westerners? What, if anything, can the Chinese history of putting human waste to good agricultural use offer in response to modern ecological problems? In exploring these questions, this detailed monograph looks both at the history of the use of human excrement as fertilizer in China, and at the Westerners who have taken an interest in this practice. In confronting the actual history of excrement recycling in agriculture and its many interpretations, Worster challenges those who reject such practices as “backwards” or “disgusting,” as well as those who conjure up romanticized notions of peasants living in harmony with nature by reusing their natural wastes to create abundance on the land. Instead, this volume interrogates the ecological aspects and the human cost of excrement recycling, offering a clear-sighted history of the role of human “muck” in human civilization.
fertilizers, population, overpopulation, waste, ecology, environmental knowledge, resources, sustainability, population distribution, agriculture
fertilizers, population, overpopulation, waste, ecology, environmental knowledge, resources, sustainability, population distribution, agriculture
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
