加拿大代写thesis

加拿大代写essay:农业增长研究

加拿大代写essay:农业增长研究
过去的农业增长研究,有效地把全球市场与国内产业的产出联系起来,它们一般分为生产函数和出口需求函数两类。即使大多数变量在这两个方向之间的选择是不同的,但这两种模型在汇率,经济规模,国际竞争等方面仍然存在着不变的因素。因此,值得对两类物品进行预览总结。
生产函数
全要素生产率函数(TPF)是假定通过考虑从投入到产出的生产率来描述产出的模型。基本上,这些模型都是针对以前的数据进行静态分析,另一个特点是分析主要是从微观经济学的角度出发,将各种输入输入到模型中,并用公式将其转化为输出。根据对增长的静态观察,可以从这些研究中提供一些有用的见解。
中国农业基本情况
TFP模型的研究一般基于长期观察整个国家的索洛增长模型。索洛增长模型是通过使用柯布 – 道格拉斯生产函数的要素生产率和技术提升对经济增长进行的长期分析。典型的科布道格拉斯生产函数如下所示:
在这里,α和β代表相应的劳动弹性(L)和资本(K),A是技术等外生决定因素。 α和β的总和决定了生产的规模收益:如果总和大于1,则规模报酬递增,等于1意味着规模报酬不变,小于1意味着规模报酬递减。虽然典型的索洛模型并不专门关注任何一个部门,但它扩展到仅使用农业数据来分析不同条件下农业的情况。

加拿大代写essay:农业增长研究
Agriculture growth researches in the past have varied descriptions in connecting global market effectively with the output of domestic industry. They are generally separated into two types, which is Production Function and Export Demand Function. Even most of the variables’ selection between those two orientations are different, there are still constant elements considered by both model, such as exchange rate, economic size in international competition etc. Thus it is worth to conduct a preview summary of both kinds of articles.
Production Function
Total Factor Productivity Function (TPF) is a model that assumes to describe the output by considering the productivity from input to output. Basically, those model are directed towards a static analysis to the previous data, the other trait is the analysis are mainly from microeconomic view, which import kinds of input into model and use formula to transform it to output. According to the static sight to the growth there are several useful insights that could be offered from those researches.
Basic Situation of Agriculture in China
Researches in TFP model are generally based on Solow growth model that observes the country as a whole through a long period. Solow growth model is a long run analysis of the growth of an economy through factor productivity and technological enhancement using a Cobb-Douglas like production function. A typical Cobb Douglas production function looks like:
Here, α and β represent the corresponding elasticity of labor (L) and capital (K) and A is the exogenously determined factors like technology. The sum of α and β determine the returns to scale of the production: if the sum is greater than 1, it is increasing returns to scale, equal to 1 implies constant returns to scale and less than 1 implies diminishing returns to scale. While a typical Solow model does not exclusively focus on any one sector, it is extended to use data from agriculture only to analyze the scenario of agriculture in different conditions.