The Oxford companion to the economics of China
Why this work is in the frame
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Bibliographic record
Abstract
China's rise as an economic powerhouse raises a number of questions that are the subject of lively debate. How did the country do it? How applicable are the lessons of China's economic reform of the past thirty years to the challenges it faces in the next three decades? What does the detailed pattern of China's success and challenges look like the sub-sectoral and sub-national levels, and what does this mean for future policy? How will China's role as a global economic player evolve? This Oxford Companion to the Economics of China presents an original collection of perspectives on the Chinese economy's past, present and future. The contributors of these entries include: the best of young Chinese researchers based in China and outside; renowned academics from the top universities in China, Europe, and North America; present and past senior officials of international agencies like the World Bank and the International Monetary Fund; senior Chinese government officials from the Centre and the Provinces; and four recipients of the Nobel Prize in Economics. The Companion consists of 99 entries written by the leading China analysts of our time. The topics covered include: The China Model, Future Prospects for China , China and the Global Economy, Trade and the Chinese Economy, Macroeconomics and Finance, Urbanisation, Industry and Markets, Agriculture and Rural Development, Land, Infrastructure and Environment, Population and Labour, Dimensions of Wellbeing and Inequality, Health and Education, Gender Equity, Regional Divergence in China, and China's Provinces: Selected Perspectives. The Editors are four global leaders in Chinese economic analysis and policy who between them have held or hold the following positions: Director General, International Food Policy Research Institute; Co-Editor, China Economic Review; President Chinese Economists Society; Assistant Director of Research at the IMF; Principal Adviser to the Chief Economist of the World Bank; and Professors of Economics at Ivy League Universities. Contributors to this volume - Franklin Allen, University of Pennsylvania Doug Almond, Columbia University Kym Anderson, University of Adelaide Wan BaoRui, Ministry of Agriculture Pranab Bardhan, University of California, Berkeley Chad Bown, The World Bank Loren Brandt, University of Toronto Deborah Brautigam, Johns Hopkins University/SAIS Hongbin Cai, Peking University Ximing Cai, University of Illinois Zongsheng Chen, Nankai University Xi Chen, Yale University Yang Chenhua, Development Research Center Menzie Chinn, University of Wisconsin Zhang Chuanting, Policy Research Center of Shandong Province Simon Cox, The Economist Alan de Brauw, International Food Policy Research Institute (IFPRI) Sylvie Demurger, Universite Lumiere Yongheng Deng, National University of Singapore Chengri Ding, University of Maryland David Dollar, Brookings Institution Xiao-yuan Dong, University of Winnipeg Qu Dongyu, Chinese Academy of Agricultural Sciences (CAAS) Julan Du, Chinese University of Hong Kong Richard Easterlin, University of Southern California Shenggen Fan, International Food Policy Research Institute Cai Fang, Chinese Academy of Social Science Hanming Fang, University of Pennsylvania Ross Garnaut, University of Melbourne Roger Gordon, University of California, San Diego Wei Li, Cheung Kong GSB Nathaniel Grotte, University of Chicago The Late Robert Fogel Gordon Hanson, University of California, San Diego Ann Harrison, University of Pennsylvania, The Wharton School Dong He, Hong Kong Monetary Authority James Heckman, University of Chicago Junjian Yi, University of Chicago Vernon Henderson, Brown University Trevor Houser, Peter G. Peterson Institute for International Economics Jikan Huang, Chinese Academy of Sciences Yasheng Huang, MIT Sloan School of Management Yiping Huang, Peking University Hi Tang Jie, Shenzhen Government Ravi Kanbur, Cornell University John Knight, University of Oxford Samuel Krumholz, UCLA Luskin School of Public Affairs Haizheng Li, Georgia Institute of Technology Qinyi Liu, Hunan University, China Hongbin Li, Tsinghua University Edwin Lim, CERAP Shuanglin Lin, University of Nebraska Omaha Justin Yifu Lin, Peking University Gordon Liu, Peking University Feng Lu, Peking University Yi Lu, National University of Singapore Xiaopeng Luo, Zheijang University Guonan Ma, Bank for International Settlements (BIS) Aaditya Mattoo, The World Bank Lingsheng Meng, Tsinghua University Xin Meng, Australian National University Michelle Miro, University of Illinois Victor Nee, Cornell University Sonja Opper, Lund University Keijiro Kei Otsuka, National Graduate Institute for Policy Studies (GRIPS) Yao Pan, George Washington University Albert Park, Hong Kong University of Science and Technology Dai Peikun, Anhui Development Research Center Dwight Perkins, Harvard University Eswar Prasad, Cornell University Ye Qi, Tsinghua University Nancy Qian, Yale University Yingyi Qian, Tsinghua University Jun ( "QJ ") Qian, Boston College Xie Qingsheng, Guizhou University of China Futian Qu, Nanjing Agricultural University Martin Ravallion, The World Bank Carl Riskin, Columbia University Peter Robertson, University of Western Australia Wang Rong, Peking University Nouriel Roubini, New York University Scott Rozelle, Stanford University Wang Sangui, Renmin University of China Jinchuan Shi, Zhejiang University Stephen Smith, George Washington University Lina Song, University of Nottingham Zheng Song, Chicago Booth Ligang Song, The Australian National University Canberra Michael Spence, New York University Joseph Stiglitz, Columbia University Arvind Subramanian, Peterson Institute of International Economics Laixiang Sun, SOAS, University of Toronto Zhigang Tao, University of Hong Kong Guoqiang Tian, University of Texas A & M Kai-yuen Tsui, Chinese University of Hong Kong Calum Turvey, Cornell University Guo Wanda, China Development Institute (CDI) Hua Wang, The World Bank Jici Wang, Peking University Jing Wang, University of Western Ontario Shang-Jin Wei, Columbia University John Whalley, University of Western Ontario Adam Wolfe, New York University Yanrui Wu, University of Western Australia Yu Xie, University of Michigan Bin Xu, China Europe International Business School Chenggang Xu, University of Hong Kong Dennis Tao, Chinese University of Hong Kong Yang Yao, CCER, Peking University Du Ying, National Development and Reform Commission Boyang Zhang, Cornell University Weiying Zhang, Peking University Xiaobo Zhang, Peking University and International Food Policy Research Institute Yaohui Zhao, Peking University Changwen Zhao, China State Development Research Center Funing Zhong, Nanjing Agricultural University Cui Zhongren, Guangxi Development Research Center Ling Zhu, Chinese Academy of Social Sciences (CESS) Huang Zuhui, Zhejiang University
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it