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我国原料奶生产演变和全要素生产率研究

Astudy of Production Evolution and Total Factor Productivity on China’s Dairy Farms

【作者】 刘威

【导师】 马恒运;

【作者基本信息】 河南农业大学 , 农业经济管理, 2011, 博士

【摘要】 奶业是一个节粮、高效、产业关联度较高的产业,与世界发达国家奶牛饲养相比,我国奶牛饲养的技术水平、生产规模和生产力都比较低。因此,探索和构建我国原料奶生产的全要素生产率模型,客观地估计我国原料奶生产的全要素生产率,找出制约我国原料奶生产全要素生产率的主要影响因素,能够为我国原料奶生产发展提供有益的参考。本文基于2004-2008年省级层面微观统计数据,使用多产出的随机边界距离函数方法,估计我国原料奶生产的全要素生产率发展趋势和增长方式,为评价不同地区原料奶生产能力和潜力提供一种新的方法,也获得一些有意义的结论和政策建议。首先,从我国原料奶的生产历史出发,分析原料奶生产的区域分布、饲养方式变迁和成本收益状况,并运用扩展型Nerlovian模型研究了原料奶供给反应机制。研究发现,东北地区、华北地区和西北地区“三足鼎立”的区域生产布局形成,其中内蒙、新疆、河北和黑龙江四省原料奶产量合计约占全国58.1%;利润低下的农户散养仍然是我国奶牛饲养主体,大规模饲养方式处于辅助形式;产量滞后一期对原料奶供给影响最大,而原料奶供给总量对价格的反应较为迟钝,不利于我国原料奶生产的稳定。第二,采用随机边界距离函数测算了原料奶生产全要素生产率,结果发现:全要素生产率增长缓慢,年均增长率为1.15%;技术效率决定全要素生产率增长强度,技术进步的变化影响了全要素生产率的提升;全要素生产率在产出增长中贡献率低,原料奶生产过度依赖要素投入,整个产业的发展方式较为“粗放”。第三,研究原料奶生产技术效率变动特征,分析影响技术效率提升的关键因素。结果发现:全国原料奶生产平均技术效率为78.3%,且地区间技术效率差异逐渐缩小;饲料投入结构、消费需求、饲养收益、饲养方式、牛奶收购价格等因素对技术效率的影响显著。最后,研究原料奶生产的要素产出弹性和规模报酬状况,结果发现:精饲料产出弹性最大,是提高原料奶生产的首要生产要素;劳动力投入的数量和质量均有待提高,是制约生产率提高的因素之一;我国奶牛饲养处于规模报酬递增阶段,应当鼓励适当地扩大养殖规模。

【Abstract】 Dairy farming is a grain-saving, high efficiency and high industrial linkage sector. Compared with developed countries in the world dairy, China’s dairy farming technology, farm size and productivity are lower. In order to measure total factor productivity on China’s dairy farms and identify its major determinats, it is necessary to find and define a specific model for those dairy farms in a trasition economy, like China. Using the 2004-2008 microscopic provincial dairy farm production cost survey data and employing a stochastic frontier distance function model, this thesis estimates the growth trends and patterns of total factor productivity on China’s dairy farms, and evaluates the ability and the potential of fresh milk over various producing areas, and finally the thesis has drawn some important conclusions and provided some policy recommendations based on the estimated results as follow:First, after reviewing the fresh milk production, the thesis investigates the regional distribution, production evolution and cost-feeding features on China’s dairy farms over time. Then, an extended Nerlovian model is used to study the response mechanism of fresh milk supply for China. The results show that‘three pillars’production setting has been formed for the past two decades. The three core producing areas are Northeast China, North China and Northwest China, respectively, among which, output of fresh milk from Inner Mongolia, Xinjiang, Hebei and Heilongjiang accounts for nearly 60% of national total fresh milk production. In addition, backyard farming system still accounts for a large part of dairy cattle, while large size farming system is the second form in term of fresh milk production. The estimated parameters show that the lagged production has the maximum positive effect on fresh milk supply, and the price variable of fresh milk is lack of flexibility, which will interfere with the stability of raw milk productionSecond, the thesis uses a stochastic frontier distance function to estimate the total factor productivity of fresh milk production. It is found that total factor productivity grows slowly, with average annual growth rates of 1.15%. It is important to find that technical efficiency is the most important factor that drives total factor productivity growth, while technological change actually deteriorates total factor productivity. The TFP contribution is low to output growth, and fresh milk production is excessively dependent on investment increase on China’s dairy farm sector.Third, we study the changes of the technical efficiency of fresh milk production and identify the key factors affecting technical efficiency. The results show that the average technical efficiency of fresh milk production is 78.3% and the regional differences of technical efficiency are gradually reduced over the study period. Feed input composition, consumer demand, consolidated revenue, dairy farm size, farmgate fresh milk price and other factors all significantly play a role in the improvement of technical efficiency on fresh milk production in China.Finally, the output elasticity of production factors and the returns to scale are also researched. The results show that concentrated feed has the maximum output elasticity, and therefore, it is the primary way to improving the level of fresh milk production. Both quantity and quality of the labor force need to be improved, they are the factors restricting productivity. Dairy farming sector in China is in the stage of its increasing returns to scale, and therefore it should be encouraged to expand to its current dairy farm size.

  • 【分类号】F326.3;F224
  • 【被引频次】3
  • 【下载频次】292
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