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粮食主产区农户技术采用及其效应研究
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摘要
改革开放以来,中国农业农村发展取得举世瞩目的成就,尤其是新世纪以来的粮食生产,已经连续十年实现增产。然而,工业化、城镇化的快速发展、人口增加与人民生活水平提高,粮食消费需求将呈刚性增长,而资源与环境约束对粮食生产的影响日益突出,传统的农业生产方式难以为继,只有依靠农业科技进步,强化农业技术推广应用才能加快转变农业发展方式,实现农业可持续发展。为此,2014年中央“一号文件”提出了建立农业可持续发展长效机制,促进生态友好型农业发展的总体战略,为未来中国农业指明了发展方向。
     中国农业技术创新成果转化不足、农技推广能力落后于农户需要使得农户技术采用与扩散存在着有效供给与有效需求严重脱节。。农户作为农业生产的微观主体,是农业科技传播的主要对象,也是农业技术的应用者,科技成果只有被农民接受和消化并且应用于农业生产过程,才能转化为现实的生产力。因此,研究粮食主产区农户技术采用对于政府以合理地引导、调整和规范农户行为,促使农户生产方式向可持续发展转变,进而实现中国农业可持续发展有重要的理论与现实意义。
     本文基于农户行为理论、技术扩散理论相关理论,以粮食主产区的安徽省水稻种植农户采用可持续生产技术为研究对象,通过实地调研获取农户数据,综合运用联立probit模型、结构方程模型、倾向得分匹配方法等多种实证方法,在分析农户技术采用经济机理的基础上,构建基于过程的“从采用行为到持久采用意向”的农户技术采用研究框架,深入探讨农户可持续生产技术采用及其影响因素,并对农户可持续生产技术的持久采用意向进行理论与实证分析,进而考量多种可持续生产技术的采用效应,最后提出政策建议。主要研究结论概括如下:
     (1)通过对比分析个体采纳过程模型,提出基于过程的“从采用行为到持久采用意向”的农户技术采用研究框架,采用农业技术首先需要农户做出是否采用此类技术的决策,采用后进入农户技术持久采用阶段,这一阶段为农户技术实际采用过程中是否相对满意,进而愿意持续采用。
     (2)农户可持续生产技术采用行为的实证分析发现:水稻种植农户采用五种可持续生产技术决策相互依赖,存在互补关系,秸秆还田技术与测土配方施肥技术、免耕栽培技术存在互补效应;病虫害综合防治与测土配方施肥技术存在互补效应。影响农户采用不同可持续生产技术的因素具有异质性,主要受到村干部、文化程度、户主年龄、务农劳动力数量、种植规模、农技人员指导、政府推广、参加培训、与市场距离、农户环境影响认知等因素的影响。
     (3)农户可持续生产技术的持久采用意向分析发现:技术感知有用性与采用满意度对技术持续采用意向有显著正向影响。农户技术采用评价中相对优势、所需劳动量、简易程度三个维度通过对技术感知有用性与采用满意度的显著正向影响,从而对技术持续采用意向产生正向作用。稳定性与相容性两个维度通过对技术采用满意度的显著正向影响,从而对技术持续采用意向产生正向作用。技术稳定性与相容性对感知有用性的正向作用没有通过显著性检验。
     (4)采用可持续生产技术对农户技术效率有显著影响,其影响的平均处理效应均值为0.057。
Since reform and opening up, China's agricultural and rural development has made remarkable achievements, especially in the new century, food production has been achieving yield for ten consecutive years. However, the rapid development of industrialization, urbanization, population growth and the improvement of people's living standards, food growth in consumer demand will show a rigid. Simultaneously, resource and environmental constraints to food production have become increasingly prominent, traditional agricultural production unsustainable. Only by relying on agricultural science and technology, strengthening agricultural technology popularization and application, agricultural development accelerate the transformation to achieve sustainable agricultural development. Therefore, in2014,"first document" proposed the establishment of a long-term sustainable development mechanism of agricultural and promoting eco-friendly agricultural development. This overall strategy delivers the development direction of Chinese agriculture in the future.
     At present, insufficient transformation of China's agricultural technological innovation achievements, popularization capacity lags behind the farmers'need to make farmers technology adoption and diffusion exists a serious gap of effective supply and effective demand. As Micro-main body of agricultural production, Farmers is the main target pf the spread of agricultural science and technology, and application of agricultural technology. Only farmers receive, digest and use agricultural science and technology, scientific and technological achievements can be transformed into real productive forces. Therefore, study on grain farmers' use of technology in Major Grain Producing Areas has important theoretical and practical significance for the government to reasonably guide, adjust and standardize the farmers' behavior, prompt farmers to shift production to sustainable development, so as to realize the sustainable development of agriculture in China.
     Based on farmers acts theory, and technology proliferation theory related theory, this paper integrate multivariate probit model, and structure equation model, and propensity score matching method, analysis farmers technology economic mechanism, build farmers technology adoption research framework of "from used acts to lasting used intent", through farmers planting rice in Anhui Province with sustainable production technology for the study object and field research gets farmers data. Then this paper study farmers using sustainable production techniques and its influencing factors, peasant household durable adoption intentions of sustainable production technology in Theoretical and empirical analysis, and consider the variety of adoption effects of sustainable production technology. Final policy recommendations are proposed. The main conclusions are summarized as follows:
     (1) Through a comparative analysis of personal acceptance process model, this paper propose farmers technology adoption research framework of "from used acts to lasting used intent". Adoption of agricultural technologies first requires farmers to make the decision of whether to adopt such technology. Into the farmers' sustained stage of technology adoption, The actual process of technology adoption farmers are satisfied, Farmers are willing to continue using technologies.
     (2) The empirical analysis of farmers adopting sustainable production technology find that planting farmers adopting five kinds of sustainable rice production technology decisions are interdependent, that there is a complementary relationship. Straw technique, soil testing techniques and no-tillage cultivation techniques is a complementary. Integrated pest management techniques and soil testing techniques is a complementary. Factors that affect farmers use of different sustainable production technologies are heterogeneity. These factors mainly have village officials, educational level, age, size of farm labor force, growing, agricultural technical personnel guidance, government outreach, training, distance from market, and, farmers' environmental impact.
     (3) Analysis of farmers sustained intentions of sustainable production technologies find that technical perceived usefulness and satisfaction have a significant positive effect. Comparative advantage of new technology, degree of labor, easy level have a significant positive effect by technical perceived usefulness and satisfaction, thus producing a positive effect for farmers sustained intentions. Technical stability and compatibility have a significant positive effect through the satisfaction, thus producing a positive effect for farmers sustained intentions. Technical stability and compatibility does not pass the test of significance for the positive role of technical perceived usefulness.
     (4) Adopting sustainable production technologies have a significant effect of farmers technical efficiency. The average treatment effect that influences is value of0.057.
引文
[1]Anderson E., Fornell C. Lehmann D. Customer satisfaction, market share, and Profitability: findings from Sweden. The Journal of Marketing,1994, (58):53-66
    [2]Belderbos R., Carree M., Diederen B., Lokshin B., Veugelers R. Heterogeneity in R&D cooperation strategies. International Journal of Industrial Organization,2004,22(8-9):1237-1263
    [3]Bhattacherjee A. Understanding Information Systems Continuance:An Expectation-Confirmation Model. MIS Quarterly,2001,25(3):351-370
    [4]Binswanger H.P., Sillers D. A Risk Aversion and Credit Constraints in Farmers'Decision-Making: A Reinterpretation. Journal of Development Studies,1983, (20):5-21
    [5]Chung Y.H., Fare R., Grosskopf S. Productivity and Undesirable Outputs:A Directional Distance Function ApproachJournal of Environmental Management,1997,51(3):229-240
    [6]Chan S, Lu M. Understanding Internet Banking Adoption and Use Behavior:A Hong Kong Perspective. Journal of Global Information Management,2004,12 (3):21-43
    [7]Chea S., Luo M.M. Cognition, emotion, satisfaction, and post-adoption behaviors of e-service customers. Proceedings of the 40th Annual Hawaii International Conference on System Sciences, 2007:154b-154b
    [8]Dehejia R. H., Wahba S., Propensity Score-Matching Methods for Nonexperimental Causal Studies, Review of Economics and Statistics,2002,84 (1):151-161
    [9]Dr Dale Mackrell, Dr Don Kerr, Dr Liisa von Hellens. A qualitative case study of the adoption and use of an agricultural decision support system in the Australian cotton industry:the sociotechnical view. Decision Support Systems,2009, (2):34-35
    [10]Efron B., Tibshirani R. An introduction to the Bootstrap, London:UK:Champman & Hall.1993
    [11]Erwin C. A., Ervin D. E. Factors Affecting the Use of Soil Conservation Practices:Hypothesis, Evidence, and Policy Implications, Land Economics,1982, (58):277-292
    [12]Eswaran H., Virmanni S.M., Apivey L. Sustainable agriculture in developing countries: constraints, challenges, and choices. Technologies for Sustainable Agriculture in the Tropics,1993: 7-24
    [13]Feder G., Slade R. The Acquisition of Information and the Adoption of New Technology, American Journal of Agricultural Economics,1984, (66):312-320
    [14]Feder G. Farm Size, Risk Aversion and the Adoption of New Technology under Uncertainty, Oxford Economic Papers,1980, (32):263-283
    [15]Feder G., O'Mara, Gerald T. Farm Size and the Adoption of Green Revolution Technology. Economic Development and Cultural Change,1981, (30):59-76
    [16]Feder G. Adoption of Interrelated Agricultural Innovations:Complementarily and the Impact of Risk, Scale and Credit. American Journal of Agricultural Economies,1982,64(1):94-101
    [17]Fernandez-Cornejo J., Hendricks C., Mishra A. Technology Adoption and Off-farm Household Income:The Case of Herbicide-Tolerant Soybeans, Journal of Agricultural and Applied Economics,2005,37(3):549-563
    [18]Fan Sheng gen. Technological Change, Technical and Allocative Efficiency in Chinese Agriculture:the Case of Rice Production in Jiangsu. Environment and Production Technology Division. International Food Policy Research Institute, Eptd Discussion Paper,1999,39
    [19]Fried, Lovell, Schmidt, Yaisawarng. Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis. Journal of Productivity Analysis,2002, (17):121-136
    [20]Foster A. D., Rosenzweig M. R. Learning by doing and learning from others:human capital and technical change in agriculture. J, Political Economy,1995103(6):1176-1209
    [21]Franzel S. Socioeconomic factors affecting the adoption potential of improved tree fallows in Africa. Agroforestry Systems,1999,47(1-3):305-321
    [22]Gefen D. TAM or Just Plain Habit:A Look at Experienced Online Shoppers. Journal of End User Computing,2003,15(3):1-13
    [23]Giller K.E., Witter E., Corbeels M. Conservation Agriculture and Smallholder Farming in Africa: The Heretics' View. Field Crops Research,2009,114(1):23-34
    [24]Gorman M., Mannion J., Kinsella J., Bogue P. Connecting Environmental Management and farm Household Livelihoods:The Rural Environment Protection Scheme in Ireland, Journal of Environmental Policy and Planning,2001,3(2):137-147
    [25]Griliches, Z. Research costs and social returns:Hybrid corn and related innovations, Journal of Political Economy,1958,66(5):419-431
    [26]Hayami, Yujiro. Induced Innovation, Green Revolution, and Income Distribution:Comment Economic Development and Cultural Change,1981, (30):169-176
    [27]Hayami Y., Ruttan V. Agricultural Development:An International Perspective, Johns Hopkins University Press, Baltimore, MD,1985
    [28]Huffman, W. E. Agricultural Household Models:Survey and Critique In Multiple Job Holding Among Farm Families. Iowa State University Press, IA,1991
    [29]Hobbs P.R., Gupta R.K. Problems and Challenges of No-till Farming for the Rice-wheat Systems of the Indo-Gangetic Plains in South Asia. Sustainable Agriculture and the Rice-Wheat System. Columbus, Ohio, and New York, USA:Ohio State University and Marcel Dekker, Inc.,2004
    [30]Hsu M.H., Chen Y.L., Chiu C.M. Extending the Expectation-Confirmation Model for a World-Wide-Web Continuance. Communications of ICISA,2003,5(2):30-36
    [31]Hu P.J.H., Brown S.A., Thong J.Y.L. Determinants of service quality and continuance intention of online services:The case of eTax. Journal of the American Society for Information Science and Technology,2009,60(2):292-306
    [32]Karshenas M., Stoneman P. Rank, Stock, Order and Epidemic Effects in the Diffusion of New Process Technology. Rand Journal of Economics,1993,24(4):503-527
    [33]Munshi K. Social learning in a heterogeneous population:technology diffusion in the Indian Green Revolution. J, Development Economy,2004, (73):185-213
    [34]Negatu W., Parikh A. The impact of perception and other factors on the adoption of agricultural technology in the Moret and Jiru Woreda (district) of Ethiopia, Agricultural economy,1999, (21): 205-216
    [35]Just, Richard E., Zilberman, David. Stochastic Structure, Farm Size, and Technology Adoption in Developing Agriculture, Oxford Economic Papers,1983, (35):307-328
    [36]Kassie M., Zikhali P., Manjur K., Edwards S. Adoption of Organic Farming Technologies: Evidence from Semi-Arid Regions of Ethiopia. Natural Resources Forum 2009, (33):189-198
    [37]Khanna M. Sequential Adoption of Site-Specific Technologies and its Implications for Nitrogen Productivity:A Double Selectivity Model. American Journal of Agricultural Economics,2001, 83(1):35-51
    [38]Kim T.K., Jayes D.J. Hallam A. Technology Adoption under Price Uncertainty, Journal of Development Economics,1992, (38):245-253
    [39]Kalirajan K.P, Obwona M.B, Zahao S. A Decomposition of Total Factor Productivity Growth: The Case of Chinese Agricultural Growth before and after Reforms. American Journal of Agricultural Economics,1996,78(3):331-338
    [40]Karahanna E., Straub D.W., Chervany N. L. Information Technology Adoption Across Time:A cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs. MIS Quarterly,1999, 23(2):183-213
    [41]Kim S.S., Son J.Y. Out of Dedication or Constraint? A Dual Model of Post-Adoption Phenomena and its Empirical Test in the Context of Online Services.MIS Quarterly,2009,33(1):49-70
    [42]Kumar V., Mukerji B., Butt I. Factors for successful e-government adoption:a conceptual framework. The Electronic Journal of e-Government,2007,5(1):63-76
    [43]Kumar S. Environmentally Sensitive Productivity Growth:A Global Analysis Using Malmquist-Luenberger Index. Ecological Economics,2006, (56):280-293
    [44]Lee I., Choi B., Kim J., Hong S. Culture-Technology Fit:Effects of Cultural characteristics on the Post-Adoption Beliefs of Mobile Internet Users. International Journal of Electronic Commerce, 2007,11 (4):11-51
    [45]Lee D.R. Agricultural sustainability and technology adoption:issues and policies for developing countries. American Journal of agricultural Economics,2005,87 (5):1325-1334
    [46]Lindner, Robert K., Fischer A.J., Pardey P. The Time to Adoption, Economic Letters,1979, (2): 187-90
    [47]Lin C. S.,Wu S., Tsai R.J. Integrating perceived playfulness into expectation-confirmation model for web portal context. Information & Management,2005,42(5):683-693
    [48]Limayem M., Cheung C.M. Understanding information systems continuance:The case of Internet-based leaning technologies. Information & Management,2008,45(4):227-232
    [49]Mann C.K. Packages of Practices:A Step at a Time with Clusters. Middle East Technical Institute: Studies in Development,1978, (21):73-82
    [50]McNamara K.T, Wetzstein M.E., Deuce G.K. Factors affecting peanut producer adoption of integrated pest management. Review of Agricultural Economics,1991,13(1):129-139
    [51]Moyo S., Veeman M. Analysis of Joint and Endogenous Technology Choice for Protein Supplementation by Smallholder Dairy Farmers in Zimbabwe. Agroforestry Systems,2004,60(3): 199-209
    [52]Namatie Traore,Rejean Landry, Nabil A. On-Farm Adoption of Conservation Practices:The Role of Farm and Farmer Characteristics, Perceptions, and Health Hazards. Land Economics, 1998.74(1):114-127
    [53]Naidoo R., Leonard A. Perceived usefulness, service quality and loyalty incentives:Effects on electronic service continuance. S. Afr. J. Bus. Manage,2007,38(3):39-48
    [54]Oh D.H. A Global Malmquist-Luenberger Productivity Index. Journal of Productivity Analysis, 2010(3):183-197
    [55]Olaizola A. M., Chertouh T., Manrique E. Adoption of a new feeding technology in Mediterranean sheep farming systems:Implications and economic evaluation. Small Ruminant Research,2008(79):137-145
    [56]Parthasarathy M., Bhattacherjee A. Understanding Post-Adoption Behavior in the Context of Online Services. Information Systems Research,1998,9 (4):362-379
    [57]Patterson P.G., Johnson L.W., Spreng R.A. Modeling the determinants of customer satisfaction for business-to-business Professional services. Journal of the Academy of Marketing Science, 1997,25(1):4-17
    [58]Rauniyar G.P., Goode F.M. Technology Adoption on Small Farms. World Development,1992, 20(2):275-282
    [59]Rosenbaum P., Rubin D. The Central Role of the Propensity Score in Observational Studies for Causal Effects, Biometrika,1983,70 (1):41-55
    [60]Rogers. Diffusion of Innovations. New York:Free Press of Glencoe,1962
    [61]Sabrina S.S., Matthew F., LEE K.O. Explaining IT-Based Knowledge Sharing Behavior with IS Continuance Model and Social Factors. The Tenth Pacific Asia Conference on Information Systems,2006:255-270
    [62]Shiferaw B., Holden S.T. Resource degradation and adoption of land conservation technologies in the Ethiopian Highlands:a case study in Andi Tid, North Shewa, Agricultural Economy,1998, (18):233-247
    [63]Spence W. Innovation:The Communication of Change in Ideas, Practices and Products. London: Chapman & Hall,1994
    [64]SHIH H. Continued use of a Chinese online portal:an empirical study. Behavior & Information Technology,2008,27(3):201-209
    [65]Stoneman P., David P.A. Adoption Subsidies Vs Information Provision as Instruments of Technology Policy, the Economic Journal (Supplement),1986, (96):142-150
    [66]Teo T.S., Srivastava H., Jiang S.C. Trust and electronic government success:an empirical study. Journal of Management Information Systems,2008,25(3):99-132
    [67]Van Riel A C R, Liljander V., Jurriens P. Exploring consumer evaluations of e-services:a portal site, International Journal of Service Industry Management,2001,12(4):359-377
    [68]Wangpipatwong S., Chutimaskul W., Papasratorn B. Understanding citizen's continuance intention to use e-government website:a composite view of technology acceptance model and computer self-efficacy. The Electronic Journal of e-Government,2008,6(1):55-64
    [69]Wollni M., Lee D. R., Thies J. E. Conservation agriculture, organic marketing, and collective action in the Honduran hillsides. Agri. Econ,2010, (41):373-384
    [70]Yu L., Hurley J., Kliebenstein, Orazen P. A test for complementarities among multiple technologies that avoids the curse of dimensionality. Economics Letters,2012,116(3):354-357
    [71]Yesuf M., Kohlin G. Market Imperfections and Farm Technology Adoption Decisions:A Case Study from the Highlands of Ethiopia. Working Papers in Economics,2009
    [72]蔡金阳,胡瑞法,肖长坤,王晓兵.农民田间学校培训对农民环境友好型技术采用的影响研究——以北京市设施番茄生产为例.中国农业科学,2012,45(5):1023-1030
    [73]曹光乔,张宗毅.农户采纳保护性耕作技术影响因素研究.农业经济问题,2008(8):69-72
    [74]陈玉萍,吴海涛,陶大云,Sushil Pandey,徐鹏,胡凤益,丁士军,王怀豫,冯璐.基于倾向得分匹配法分析农业技术采用对农户收入的影响——以滇西南农户改良陆稻技术采用为例.中国农业科学,2010,43(17):3667-3676
    [75]陈超,李道国.品种权保护对农户增收和影响分析.农村经济,2004(9):38-42
    [76]陈卫平.中国农业生产率增长:技术进步与效率变化:1990-2003年.中国农村观察,2006(1):18-23
    [77]蔡荣,蔡书凯.保护性耕作技术采用及对作物单产影响的实证分析——基于安徽省水稻种植户的调查数据.资源科学,2012(9):1705-1711
    [78]崔宁波.基于现代农业发展的农户技术采用行为分析.学术交流,2010(1):81-84
    [79]褚彩虹,冯淑怡,张蔚文.农户采用环境友好型农业技术行为的实证分析——以有机肥与测土配方施肥技术为例.中国农村经济,2012(3):68-77
    [80]邓祥宏,穆月英,钱加荣.我国农业技术补贴政策及其实施效果分析——以测土配方施肥补贴为例.经济问题,2011(5):79-83
    [81]方鸿.中国农业生产技术效率研究:基于省级层面的测度、发现与解释.农业技术经济,2010(1):34-41
    [82]高启杰.农业技术推广中的农民行为研究.农业科技管理,2000(1):28-30
    [83]葛继红,周曙东,朱红根,殷广德.农户采用环境友好型农业技术行为研究——以配方施肥技术为例.农业技术经济,2010(9):57-63
    [84]韩洪云,杨增旭.农户农业面源污染治理政策接受意愿的实证分析——以陕西眉县为例.中国农村经济,2010(1)):45-52
    [85]韩洪云,杨增旭.农户测土配方施肥技术采纳行为研究——基于山东省枣庄市薛城区农户调研数据.中国农业科学,2011(23):4962-4970
    [86]韩军辉,李艳军.农户获知种子信息主渠道以及采用行为分析——以湖北省谷城县为例.农业技术经济,2005(1):31-35
    [87]胡瑞法.农业科技革命:过去和未来.农业技术经济,1998(3):2-11
    [88]胡瑞法,李立秋,张真和,石尚柏.农户需求型技术推广机制示范研究.农业经济问题,2006(11):50-56
    [89]黄季焜,胡瑞法,智华勇.基层农业技术推广体系30年发展与改革,政策评估和建议.农业技术经济,2009(1):4-11
    [90]黄季焜.农业技术进步测定的理论方法.北京:中国农业科技出版社,1994
    [91]黄季焜,胡瑞法,宋军,罗泽尔.农业技术从生产到采用:政府、科研人员、技术推广人员与农民的行为比较.科学对社会的影响,1999(1):55-61
    [92]黄季焜,齐亮,陈瑞剑.技术信息知识、风险偏好与农民施用农药.管理世界,2008(5):71-76
    [93]黄武.农户对有偿技术服务的需求意愿及其影响因素分析——以江苏省种植业为例.中国农村观察,2010(2):54-62
    [94]黄少安,孙圣民,宫明波.中国土地产权制度对农业经济增长的影响.中国社会科学,2005(3):3849
    [95]简小鹰,冯海英.贫困农村社区不同类型农户信息需求特性分析.中国农业科技导报,2007(9):112-115
    [96]孔祥智.西部地区农户禀赋对农业技术采纳的影响分析.经济研究,2094(12):85-95
    [97]亢霞,刘秀梅.我国粮食生产的技术效率分析.中国农村观察,2005(4):25-32
    [98]廖西元,陈庆根,王磊,胡慧英.农户对水稻科技需求优先序.中国农村经济,2004(11):36-43
    [99]廖西元,王磊,王志刚,胡慧英.稻农采用机械化生产技术的影响因素实证研究.农业技术经济,2006(6):43-48
    [100]廖西元,王志刚,朱述斌,申红芳,胡慧英,王磊.基于农户视角的农业技术推广行为和推广绩效的实证分析.中国农村经济,2008(7):4-13
    [101]刘进宝,刘洪.农业技术进步与农民农业收入增长弱相关性分析.中国农村经济,2004(9):26-30
    [102]刘莉.社交网站用户持续使用行为研究——基于信息获取和人际交互的视角.情报理论与实践,2012(11):17-22
    [103]刘勃勃,左美云.基于期望确认理论的老年人互联网应用持续使用实证分析.管理评论,2012(5):89-101
    [104]刘人境,柴婧.SNS社交网络个人用户持续使用行为的影响因素研究.软科学,2013(5):132-135
    [105]刘鲁川,孙凯,王菲,张新芳.移动搜索用户持续使用行为实证研究.中国图书馆学报,2011(6):50-57
    [106]刘刚,黄苏萍.用户控制感知对网上银行持续使用行为的影响分析.经济理论与经济管理,2010(1):58-61
    [107]林毅夫.中国农业在要素市场交换受到禁止下的技术选择.制度、技术与中国农业发展,2008:146-166
    [108]李圣军,孔祥智.农户技术需求优先序及有效供给主体研究.新疆农垦经济,2010(5):11-16
    [109]李争,杨俊.农户兼业是否阻碍了现代农业技术应用——以油菜轻简技术为例.中国科技论坛,2010(10):144-150
    [110]李立秋,刘万才.树立公共推广理念加速农技体系建设.中国农技推广,2008(6):4-7
    [111]李大胜,李琴.农业技术进步对农户收入差距的影响机理及实证研究.农业技术经济,2007(3):23-27
    [112]李忠鹏.技术进步与农民增收.农村经济,2006(11):58-59
    [113]李中东,孙焕.基于DEMATEL的不同类型技术对农产品质量安全影响效应的实证分析——来自山东、浙江、江苏、河南和陕西五省农户的调查.中国农村经济,2011(3):26-34
    [114]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.统计研究,2008(1):35-42
    [115]李谷成.技术效率、技术进步与中国农业生产率增长.经济评论,2009(1):60-68
    [116]李谷成,冯中朝,范丽霞.农户家庭经营技术效率与全要素生产率增长分解(1999-2003年)基于随机前沿生产函数与来自湖北省农户的微观证据.数量经济技术经济研究,2007(8):25-34
    [117]李静,孟令杰.中国农业生产率的变动与分解分析:1978-2004.数量经济技术经济研究,2006(5):11-19
    [118]李波.经济增长与农业碳排放关系的实证研究.生态环境学报,2012,21(2):220-224
    [119]李小军.粮食主产区农民收入问题研究:[博士学位论文].北京:中国农业科学院,2005
    [120]李周,于法稳.西部地区农业生产效率的DEA分析.中国农村观察,2005(6):2-11
    [121]李然,冯中朝.环境效应和随机误差的农户家庭经营技术效率分析——基于三阶段DEA模型和我国农户的微观数据,财经研究,2009(9):92-102
    [122]陆敏玲.影响农民持续使用移动信息服务平台的因素研究.价值工程,2012(11):1-3
    [123]满明俊,周民良,李同异.农户采用不同属性技术行为的差异分析——基于陕西、甘肃、宁夏的调查.中国农村经济,2010(2):68-78
    [124]满明俊,李同昇,李树奎,李普峰.技术环境对西北传统农区农户采用新技术的影响分析——基于三种不同属性农业技术的调查研究.地理科学,2010(1):66-74
    [125]满明俊,周民良,李同异.西北地区的农户技术效率分析——基于陕、甘、宁的调查.经济经纬,2011(2):60-64
    [126]钱鼎炜.茶叶新品种技术扩散对不同农户收入的影响——以福建省茶产区农户为例.农业技术经济,2012(3):65-70
    [127]屈小博.不同规模农户生产技术效率差异及其影响因素分析——基于超越对数随机前沿生产函数与农户微观数据.南京农业大学学报(社会科学版),2009(3):27-38
    [128]申红芳,廖西元,陈金发,朱述斌.超级稻示范推广中的技术到位率与产量差异对应分析.中国稻米,2008(5):12-16
    [129]宋军,胡瑞法,黄季.农民的农业技术选择行为分析.农业技术经济,1998(6):37-40
    [130]苏岳静.农户抗虫棉技术采用研究:[硕十学位论文].北京:中国农业科学院,2002
    [131]孙建军,裴雷,刘虹.基于期望确认模型的视频网站持续使用模型构建.图书情报知识,2013(5):82-88
    [132]孙霄凌,朱庆华,范哲,吴克文.传统产业企业基层员工信息技术持续使用研究——基于江苏南通纺织业的实证分析.情报科学,2013(7):112-120
    [133]石慧,孟令杰,王怀明.中国农业生产率的地区差距及波动性研究——基于随机前沿生产函数的分析.经济科学,2008(3):20-33
    [134]谭英,王德海,谢泳才.贫困地区农户信息获取渠道与倾向性研究——中西部地区不同类型农户媒介接触行为调查报告.农业技术经济,2004(2):28-33
    [135]唐博文,罗小锋,秦军.农户采用不同属性技术的影响因素分析——基于9省(区)2110户农户的调查.中国农村经济,2010(6):49-57
    [136]万宝瑞.实现农业科技创新的关键要抓好五大转变.农业经济问题,2012(10):4-7
    [137]汪三贵,刘晓展.信息不完备条件下贫困农民接受新技术行为分析.农业经济问题,1996(12):31-37
    [138]王玄文,胡瑞法.农民对农业技术推广组织有偿服务需求分析——以棉花生产为例.中国农村经济,2003(4):63-68
    [139]王浩,刘芳.农户对不同属性技术的需求及其影响因素分析——基于广东省油茶种植业的实证分析.中国农村观察,2012(1):53-64
    [140]王志刚,王磊,阮刘青,廖西元.农户采用水稻轻简栽培技术的行为分析.农业技术经济,2007(3):102-107
    [141]王静,霍学喜.果园精细管理技术的联立选择行为及其影响因素分析——以陕西络川苹果种植户为例.南京农业大学学报(社会科学版),2012(2):58-67
    [142]王金霞,张丽娟.保护性耕作技术对农业生产的影响:黄河流域的实证研究.管理评论,2010(6):77-84
    [143]王玺.农户技术效率差异及影响因素实证分析——基于随机前沿生产函数与果农微观数据.经济问题,2011(6):72-77
    [144]王青,于冷,王英萍.上海农业科技社会化服务需求的调查分析.农业经济问题,2011(7):67-72
    [145]吴敬学.中国农户技术需求行为的经济机理分析.江西财经大学学报,2008(4):50-54
    [146]向国成,韩绍凤.农户兼业化:基于分工视角的分析.中国农村经济,2005(8):4-9
    [147]邢美华,张俊飚,黄光体.未参与循环农业农户的环保认知与影响因素研究.中国农村经济,2009(4):72-79
    [148]徐勇,邓大才.社会化小农:解释当今农户的一种视角.学术月刊,2006(7):5-13
    [149]徐国虎,孙凌,许芳.网络用户移动签到服务持续使用意愿研究.中南财经政法大学学报,2013(4):131-138
    [150]肖怀云.MC消费者持续使用行为演化分析.西安电子科技大学学报(社会科学版),2011(6):49-54
    [151][美]西奥多·舒尔茨.改造传统农业.北京:商务印书馆,2006
    [152]尤小文.农户:一个概念的探讨.中国农村观察,1999(5):19-22
    [153]喻永红,张巨勇.农户采用水稻IPM技术的意愿及其影响因素——基于湖北省的调查数据.中国农村经济,2009(11):77-86
    [154]杨传喜,张俊飚,徐卫涛.农户技术需求的优先序及影响因素分析——以河南、山东等食用菌主产区种植户为例.西北农林科技大学学报(社会科学版),2011(1):41-47
    [155]杨小峰,徐博艺.政府门户网站公众接受模型研究.情报杂志,2009(1):3-6
    [156]周衍平,陈会英.中国农户采用新技术内在需求机制的形成与培育——农业踏板原理及其应用.农业经济问题,1998(8):9-12
    [157]赵其国,杨劲松,周华.保障我国“耕地红线”及“粮食安全”十字战略方针.士壤,2011,43(5):681-687
    [158]赵连阁,蔡书凯.农户IPM技术采纳行为影响因素分析——基于安徽省芜湖市的实证.农业经济问题,2012(3):50-56
    [159]赵旭强,穆月英,陈阜.保护性耕作技术经济效益及其补贴政策的总体评价——来白山西省农户问卷调查的分析.经济问题,2012(2):74-77
    [160]赵洪斌.改革开放以来中国农业技术进步率演进的研究.财经研究,2004(12):91-100
    [161]赵芝俊,张社海.近20年中国农业技术进步率的变动趋势.中国农村经济,2006(3):4-12
    [162]赵芝俊,袁开智.中国农业技术进步贡献率测算及分解:1985—2008.农业经济问题,2009(3):28-36
    [163]Daniel C., Monchuk中国农业生产效率率的影响因素分析.世界经济文汇,2009(2):47-56
    [164]赵贵玉,王军,张越杰.基于参数和非参数方法的玉米生产效率研究——以吉林省为例.农业经济问题,2009(2):15-21
    [165]展进涛,陈超.劳动力转移对农户农业技术选择的影响——基于全国农户微观数据的分析.中国农村经济,2009(3):75-84
    [166]张越杰,霍灵光,王军.中国东北地区水稻生产效率的实证分析——以吉林省水稻生产为例.中国农村经济,2007(5):24-32
    [167]张冬平,冯继红.我国小麦生产效率的DEA分析.农业技术经济,2005(3):48-54
    [168]曾先峰,李国平.我国各地区的农业生产率与收敛:1980—2005.数量经济技术经济研究,2008(5):81-92
    [169]朱希刚.农业科技产业化研究.湖南农业大学学报(社会科学版),2002(2):1-7
    [170]朱希刚,赵绪福.贫困山区农业技术采用的决定因素分析.农业技术经济,1995(3):14-16
    [171]朱帆,余成群,曾嵘,许少云.西藏“一江两河”地区农户生产效率分析及改进方案——基于三阶段DEA模型和农户微观数据.经济地理,2011(7):1178-1184
    [172]朱多刚.政府网站用户持续使用行为研究.电子政务,2012(12):114-121
    [173]朱明芬,李南田.农户采用农业新技术的行为差异及对策研究.农业技术经济,2001(2):26-29
    [174]庄丽娟,贺梅.我国荔枝主产区农户技术服务需求意愿及影响因素分析.农业经济问题, 2010(11):61-66
    [175]周锦,孙杭生.江苏省农户环境意识调查与分析.中国农村观察,2009(3):47-52
    [176]周建华,杨海余,贺正楚.资源节约型与环境友好型技术的农户采纳限定因素分析.中国农村观察,2012(2):37-43
    [177]周波,于冷.农业技术应用对农户收入的影响——以江西跟踪观察农户为例.中国农村经济,2011(1):49-57
    [178]周五七,聂鸣.低碳转型视角的中国工业全要素生产率增长——基于1998-2010年行业数据的实证分析.财经科学.2012(10):73-84
    [179]祝华军,田志宏.稻农采用低碳技术措施意愿分析——基于南方水稻产区的调查.农业技术经济,2013(3):62-71

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