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Chinese Agriculture in the 1930s

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Cover of 'Chinese Agriculture in the 1930s'

Table of Contents

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    Book Overview
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    Chapter 1 China’s Agriculture in the 1930s: An Overview
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    Chapter 2 John Lossing Buck and Land Utilization in China
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    Chapter 3 Calamities and Conflict Affecting Rural China 1929–1933
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    Chapter 4 The Discovery and Restoration of Buck’s Original Data
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    Chapter 5 Reliability of John Lossing Buck’s Land Utilization Survey Data: A Preliminary Test of Grain Yields
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    Chapter 6 Tenancy Issues in Northwest China During the Republican Era
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    Chapter 7 Regional Differences in Surplus Agricultural Labor During China’s Republican Era, Based on Buck’s Rural Survey Data
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    Chapter 8 Agricultural Poverty and Inequality in 1930s China: Estimates of Gini Gini Coefficient and Engel Engel Coefficient Coefficients from Buck’s Data
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    Chapter 9 An Analysis on the Inverse Relationship between Yield and Farm Size in Rural China in the 1930s
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    Chapter 10 The Relationship Between Farm Size Farm size and Land Productivity in Early Twentieth-Century China
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    Chapter 11 Farm Credit Demand and Supply in 1930s China
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    Chapter 12 The Change in China’s Cropland Utilization and Productivity Over Nearly a Century in China: A Comparison Study Based on Buck’s Survey
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    Chapter 13 A Comparison of Certain Changes in Chinese Agricultural Operations between Buck’s Republican Era and Modern China
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    Chapter 14 Concluding Thoughts
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Title
Chinese Agriculture in the 1930s
Published by
Springer International Publishing, July 2019
DOI 10.1007/978-3-030-12688-9
ISBNs
978-3-03-012687-2, 978-3-03-012688-9
Editors

Hu, Hao, Zhong, Funing, Turvey, Calum G.

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The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Student > Postgraduate 1 17%
Lecturer 1 17%
Unknown 2 33%
Readers by discipline Count As %
Social Sciences 2 33%
Energy 1 17%
Psychology 1 17%
Unknown 2 33%