[1] 陈富桥, 胡林英, 姜爱芹. 我国茶产业发展40年[J]. 中国茶叶, 2019, 41(10): 1-5. Chen F Q, Hu L Y, Jiang A Q.The 40 years of tea industry development in China[J]. China Tea, 2019, 41(10): 1-5. [2] 吕建兴, 陈富桥. 我国茶产业全要素生产率增长及其分解—基于随机前沿生产函数的分析[J]. 技术经济与管理研究, 2015(4): 117-122. Lv J X, Chen F Q.The total factor productivity growth and the decomposition of Chinese tea industry: based on the analysis of the stochastic frontier production function[J]. Journal of Technical Economics & Management, 2015(4): 117-122. [3] 管曦, 林晓娟. 基于DEA的中国茶业技术效率的实证分析[J]. 中国科技论坛, 2009(10): 130-133. Guan X, Lin X J.Empirical Analysis on technical efficiency of Chinese tea industry based on DEA[J]. Forum on Science and Technology in China, 2009(10): 130-133. [4] 李道和, 池泽新, 刘滨. 基于DEA的中国茶叶产业全要素生产率分析[J]. 农业技术经济, 2008(5): 52-56. Li D H, Chi Z X, Liu B.Analysis of total factor productivity of Chinese tea industry based on DEA[J]. Journal of Agrotechnical Economics, 2008(5): 52-56. [5] 李谷成, 冯中朝, 占绍文. 家庭禀赋对农户家庭经营技术效率的影响冲击—基于湖北省农户的随机前沿生产函数实证[J]. 统计研究, 2008, 25(1): 35-42. Li G C, Feng Z C, Zhan S W.An empirical analysis about the effect of household endowments on the technical efficiency of farmer’s household management: evidence from the farmers of Hubei province[J]. Statistical Research, 2008, 25(1): 35-42. [6] 赵建梅, 孔祥智, 孙东升, 等. 中国农户兼业经营条件下的生产效率分析[J]. 中国农村经济, 2013(3): 16-26. Zhao J M, Kong X Z, Sun D S, et al.Analysis on the production efficiency of Chinese farmers under the condition of concurrent operation[J]. Chinese Rural Economy, 2013(3): 16-26. [7] Sheng Y, Ding J, Huang J.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. [8] Sheng Y, Chancellor W.Exploring the relationship between farm size and productivity: evidence from the Australian grains industry[J]. Food Policy, 2019, 84: 196-204. [9] 李霖, 王军, 郭红东. 产业组织模式对农户生产技术效率的影响—以河北省、浙江省蔬菜种植户为例[J]. 农业技术经济, 2019(7): 40-51. Li L, Wang J, Guo H D.The impact of industrial organization models on farmers’ production technical efficiency: based on vegetable farmers in Hebei and Zhejiang province[J]. Journal of Agrotechnical Economics, 2019(7): 40-51. [10] 黄祖辉, 朋文欢. 农民合作社的生产技术效率评析及其相关讨论—来自安徽砀山县5镇(乡)果农的证据[J]. 农业技术经济, 2016(8): 4-14. Huang Z H, Peng W H.Evaluation and analysis of production technical efficiency of farmers' cooperatives: evidence from fruit farmers in 5 towns of Dangshan County in Anhui Province[J]. Journal of Agrotechnical Economics, 2016(8): 4-14. [11] 张瑞娟, 高鸣. 新技术采纳行为与技术效率差异—基于小农户与种粮大户的比较[J]. 中国农村经济, 2018(5): 84-97. Zhang R J, Gao M.New technology adoption behaviors and differences in technology efficiency: a comparative analysis of small and large grain producers[J]. Chinese Rural Economy, 2018(5): 84-97. [12] Alene A D, Manyong V M.Farmer-to-farmer technology diffusion and yield variation among adopters: the case of improved cowpea in northern Nigeria[J]. Agricultural Economics, 2006, 35(2): 203-211. [13] 管曦, 杨江帆. 中国精制茶加工企业技术效率的分析[J]. 茶叶科学, 2011, 31(2): 160-165. Guan X, Yang J F.Analysis on the technical efficiency of Chinese refining tea enterprise[J]. Journal of Tea Science, 2011, 31(2): 160-165. [14] 刘志成, 张晨成. 我国茶叶产业生态效率与生产效率评价研究—基于DEA方法的实证分析[J]. 生态科学. 2017, 36(1): 111-117. Liu Z C, Zhang C C.Study on ecological efficiency and production efficiency evaluation of China's tea industry based on the empirical analysis of DEA method[J]. Ecological Science, 2017, 36(1): 111-117. [15] 陈潜, 彭婵娟, 杨洁洁, 等. 闽台乌龙茶主产区生产效率及其影响因素比较[J]. 亚太经济, 2017(4): 101-106. Chen Q, Peng C J, Yang J J, et al.Comparison of production efficiency and its influencing factors in main producing areas of Oolong tea in Fujian and Taiwan[J]. Asia-pacific Economic Review, 2017(4): 101-106. [16] 周琼, 刘德娟, 曾玉荣. 台湾地区茶产业生产效率实证分析[J]. 世界农业, 2019(9): 112-118. Zhou Q, Liu D J, Zeng Y R.An empirical analysis on the production efficiency of tea industry in Taiwan Province[J]. World Agriculture, 2019(9): 112-118. [17] 章德宾. 不同蔬菜种植规模农户农业生产效率研究: 主产区2009—2016年的调查[J]. 农业技术经济, 2018(7): 41-50. Zhang D B. Study on vegetable production efficiency by scale: evidence from2009—2016 surveys in main vegetable production areas[J]. Journal of Agrotechnical Economics, 2018(7): 41-50. [18] 唐轲, 王建英, 陈志钢. 农户耕地经营规模对粮食单产和生产成本的影—基于跨时期和地区的实证研究[J]. 管理世界, 2017(5): 79-91. Tang K, Wang J Y, Chen Z G.The impact of farmers' cultivated land management scale on grain yield and production cost: an empirical study based on cross period and region[J]. Management World, 2017(5): 79-91. [19] 张晓山. 农民专业合作社的发展趋势探析[J]. 管理世界, 2009(5): 89-96. Zhang X S.Analysis on the development trend of farmers' professional cooperatives[J]. Management World, 2009(5): 89-96. [20] 张德元, 宫天辰. “家庭农场”与“合作社”耦合中的粮食生产技术效率[J]. 华南农业大学学报(社会科学版), 2018, 17(4): 64-74. Zhang D Y, Gong T C.The technical efficiency of food production in linking family farms with cooperatives[J]. Journal of South China Agricultural University (Social Science Edition), 2018, 17(4): 64-74. [21] Foster A D, Rosenzweig M R.Learning by doing and learning from others: human capital and technical change in agriculture[J]. Journal of Political Economy, 1995, 103(6): 1176-1209. [22] 舒元, 才国伟. 我国省际技术进步及其空间扩散分析[J]. 经济研究, 2007(6): 106-118. Shu Y, Cai G W.An analysis on technology progress and spatial diffusion among China's provinces[J]. Economic Research Journal, 2007(6): 106-118. [23] 高鸣, 宋洪远. 粮食生产技术效率的空间收敛及功能区差异—兼论技术扩散的空间涟漪效应[J]. 管理世界, 2014(7): 83-92. Gao M, Song H Y, Spatial convergence and functional area difference of technical efficiency of grain production[J]. Management World, 2014(7): 83-92. [24] Aigner D, Lovell C A K, Schmidt P. Formulation and estimation of stochastic frontier production function models[J]. Journal of Econometrics, 1977, 6(1): 21-37. [25] 傅晓霞, 吴利学. 随机生产前沿方法的发展及其在中国的应用[J]. 南开经济研究, 2006(2): 130-141. Fu X X, Wu L X.The development of the stochastic production frontier approach and its applications in China[J]. Nankai Economic Studies, 2006(2): 130-141. [26] Kumbhakar S C.Estimation and decomposition of productivity change when production is not efficient: a panel data approach[J]. Econometric Reviews, 2000, 19(4): 425-460. [27] Kuosmanen T.Data envelopment analysis with missing data[J]. Journal of the Operational Research Society, 2009, 60: 1767-1774. [28] 吕建兴, 张璟, 刘景景, 等. 中国大宗淡水鱼养殖户技术效率、TFP增长及分解—基于25个省份微观调查数据[J]. 农业技术经济, 2020(1): 102-119. Lv J X, Zhang J, Liu J J, et al.Technical efficiency, total factor productivity growth and decomposition of bulk freshwater aquaculture farmers in China[J]. Journal of Agrotechnical Economics, 2020(1): 102-119. [29] 陈卫平. 中国农业生产率增长、技术进步与效率变化:1990~2003年[J]. 中国农村观察, 2006(1): 18-23. Chen W P. Productivity growth, technical progress and efficiency change in Chinese agriculture:1990-2003[J]. China Rural Survey, 2006(1): 18-23. [30] 李谷成, 冯中朝. 中国农业全要素生产率增长:技术推进抑或效率驱动—一项基于随机前沿生产函数的行业比较研究[J]. 农业技术经济, 2010(5): 4-14. Li G C, Feng Z C.Agricultural TFP growth in China: technology promotion or efficiency driven: a comparative study of industries based on stochastic frontier production function[J]. Journal of Agrotechnical Economics, 2010(5): 4-14. [31] 黄金波, 周先波. 中国粮食生产的技术效率与全要素生产率增长:1978—2008[J]. 南方经济, 2010(9): 40-52. Huang J B, Zhou X B. Technical efficiency and growth of total factor productivity of food production in China:1978-2008[J]. South China Journal of Economics, 2010(9): 40-52. [32] 田伟, 谭朵朵. 中国棉花TFP增长率的波动与地区差异分析: 基于随机前沿分析方法[J]. 农业技术经济, 2011(5): 110-118. Tian W, Tan D D.Analysis on fluctuation and regional difference of TFP growth rate of cotton in China: based on stochastic frontier analysis method[J]. Journal of Agrotechnical Economics, 2011(5): 110-118. [33] 尹朝静, 李谷成, 葛静芳. 粮食安全:气候变化与粮食生产率增长—基于HP滤波和序列DEA方法的实证分析[J]. 资源科学, 2016, 38(4): 665-675. Yin C J, Li G C, Ge J F.Food security, climate change and grain productivity growth based on HP filter and sequential DEA methods[J]. Resources Science, 2016, 38(4): 665-675. [34] 匡远配, 杨佳利. 农地流转的全要素生产率增长效应[J]. 经济学家, 2019(3): 102-112. Kuang Y P, Yang J L.The effect of total factor productivity growth on rural land transfer[J]. Economist, 2019(3): 102-112. [35] Conley T G, Udry C R.Learning about a new technology: pineapple in Ghana[J]. American Economic Review, 2010, 100(1): 35-69. |