农机购置补贴如何影响农业全要素生产率？ -- 上海财经大学期刊社

1 龚斌磊. 农业技术进步与生产率研究: 回顾与展望[M]. 杭州: 浙江大学出版社, 2021.

11 王璐,杨汝岱,吴比. 中国农户农业生产全要素生产率研究[J]. 管理世界,2020,(12):77−90. DOI:10.3969/j.issn.1002-5502.2020.12.008

12 王许沁,张宗毅,葛继红. 农机购置补贴政策:效果与效率−基于激励效应与挤出效应视角[J]. 中国农村观察,2018,(2):60−74.

13 伍骏骞,方师乐,李谷成,等. 中国农业机械化发展水平对粮食产量的空间溢出效应分析−基于跨区作业的视角[J]. 中国农村经济,2017,(6):44−57.

14 许庆,杨青,章元. 农业补贴改革对粮食适度规模经营的影响[J]. 经济研究,2021,(8):192−208.

15 颜鹏飞,王兵. 技术效率、技术进步与生产率增长:基于DEA的实证分析[J]. 经济研究,2004,(12):55−65.

16 杨青,彭超,许庆. 农业“三项补贴”改革促进了农户土地流转吗?[J]. 中国农村经济,2022,(5):89−106.

17 杨小凯, 黄有光. 专业化与经济组织−一种新兴古典微观经济学框架[M]. 张玉纲译. 北京: 经济科学出版社, 2000.

18 张乐,曹静. 中国农业全要素生产率增长:配置效率变化的引入−基于随机前沿生产函数法的实证分析[J]. 中国农村经济,2013,(3):4−15.

19 郑旭媛,徐志刚. 资源禀赋约束、要素替代与诱致性技术变迁−以中国粮食生产的机械化为例[J]. 经济学(季刊),2017,(1):45−66.

20 周振,张琛,彭超,等. 农业机械化与农民收入:来自农机具购置补贴政策的证据[J]. 中国农村经济,2016,(2):68−82.

21 朱喜,史清华,盖庆恩. 要素配置扭曲与农业全要素生产率[J]. 经济研究,2011,(5):86−98.

22 朱希刚. 我国“九五”时期农业科技进步贡献率的测算[J]. 农业经济问题,2002,(5):12−13. DOI:10.13246/j.cnki.iae.2002.05.003

23 Ackerberg D A, Caves K, Frazer G. Identification properties of recent production function estimators[J]. Econome- trica,2015,83(6): 2411−2451. DOI:10.3982/ECTA13408

24 Battese G E, Coelli T J. Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India[J]. Journal of Productivity Analysis,1992,3(1−2): 153−169. DOI:10.1007/BF00158774

25 Brümmer B, Glauben T, Lu W. Policy reform and productivity change in Chinese agriculture: A distance function approach[J]. Journal of Development Economics,2006,81(1): 61−79. DOI:10.1016/j.jdeveco.2005.04.009

26 Ellis F. Peasant economics: Farm households and agrarian development[M]. 2nd ed. Cambridge: Cambridge University Press, 1993.

27 Färe R, Grosskopf S, Norris M, et al. Productivity growth, technical progress, and efficiency change in industrialized countries[J]. The American Economic Review,1994,84(1): 66−83.

28 Glaeser E L, Sacerdote B I, Scheinkman J A. The social multiplier[J]. Journal of the European Economic Association,2003,1(2−3): 345−353. DOI:10.1162/154247603322390982

29 Gong B L. Interstate competition in agriculture: Cheer or fear? Evidence from the United States and China[J]. Food Policy,2018,81: 37−47. DOI:10.1016/j.foodpol.2018.10.001

30 Gong B L. Agricultural productivity convergence in China[J]. China Economic Review,2020,60: 101423. DOI:10.1016/j.chieco.2020.101423

31 Hayami Y, Ruttan V W. Agricultural development: An international perspective[M]. Baltimore: Johns Hopkins University Press, 1971.

32 Hicks J R. The theory of wages[M]. London: MacMillan, 1932.

33 Key N, Roberts M J. Government payments and farm business survival[J]. American Journal of Agricultural Economics,2006,88(2): 382−392. DOI:10.1111/j.1467-8276.2006.00865.x

34 Kumbhakar S C, Lovell C A K. Stochastic frontier analysis[M]. Cambridge: Cambridge University Press, 2000.

35 Lambert D K, Parker E. Productivity in Chinese provincial agriculture[J]. Journal of Agricultural Economics,1998,49(3): 378−392. DOI:10.1111/j.1477-9552.1998.tb01279.x

36 Levinsohn J, Petrin A. Estimating production functions using inputs to control for unobservables[J]. The Review of Economic Studies,2003,70(2): 317−341. DOI:10.1111/1467-937X.00246

37 Li Z, Zhang H P. Productivity growth in China’s agriculture during 1985-2010[J]. Journal of Integrative Agriculture,2013,12(10): 1896−1904. DOI:10.1016/S2095-3119(13)60598-5

38 Sheng Y, Ding J P, Huang J K. The relationship between farm size and productivity in agriculture: Evidence from maize production in Northern China[J]. American Journal of Agricultural Economics,2019,101(3): 790−806. DOI:10.1093/ajae/aay104

39 Wooldridge J M. On estimating firm-level production functions using proxy variables to control for unobservables[J]. Economics Letters,2009,104(3): 112−114. DOI:10.1016/j.econlet.2009.04.026