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Effect of High- yield Varieties on Rice Production Growth : An Mathematical and Econometrics Analysis

机译：高产品种对水稻生产增长的影响：数学和经济学分析

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Rice is the most important staple food crop for more than half of the world's population. World rice production therefore needs to be increased, while land, water and labour are all decreasing. This paper aims to determine Effect of high-yield varieties on rice production growth. Production function decomposition analysis is used to decompose the difference in the rice output between new and old rice production technologies (application of High-yield and Local varieties) into technical change and change in quantities of inputs. The study was based on cross-section input-output data collected at one time (2004) from sample farmers including 100 observations, case study Mazandaran province-Iran. In the first stage, a dummy variable is defined as technology phrase (high-yield varieties) in the pooled production function. The results show that the regression coefficient of dummy variable in pooled production function is significant. Therefore, it is implied that there is structural break in production relation with the introduction of high-yield varieties in rice production. In the second stage, production function decomposition analysis was used to decompose the difference in the rice output between new and old rice production technologies (application of high-yield varieties) into technical change and change in quantities of inputs. The results show that total growth in rice yield by shifting to new rice production technology was about 126 percent. However, the estimated growth in neat output was 124 percent of which 76 percent was contributed by technology. This means that 76 percent more output could be produced with new technology instead of using old technology level of inputs. Secondly, the contribution of in- creased level of inputs was 48 percent. Among the inputs, the contribution of area under rice (23 percent) was the highest, followed by labour (17 percent) and pesticide (8 percent). Additionally, the total value of inputs saved (VIS) on the sample farms with new technology was estimated to be 63622 ten thousand Rials. In other words, in order to produce 520 tones of rice by adopting old technology (application of Local varieties), fanners required 147336 ten thousand Rials as against only 83714 ten thousand Rials with new rice production technology. Besides, The estimated additional quantity of rice output with new technology using old technology level of inputs was 174. 8 tones on the sample farms.
机译：稻米是超过世界人口的一半以上最重要的粮食作物。因此，世界水稻生产需要增加，而土地，水和劳动力都在下降。本文旨在确定对水稻生产增长的高产品种的影响。生产函数分解分析，分解在新老大米生产技术（高产和地方品种的应用程序）到投入大量的技术变化和变化之间的稻米产量的差异。这项研究是基于在从样品农民一个时间（2004），包括100个观测，案例研究马赞达兰省-伊朗收集横截面的输入输出数据。在第一阶段，伪变量被定义为在合并的生产函数技术短语（高产品种）。结果表明，虚拟变量在汇集生产函数的回归系数是显著。因此，它被暗示不存在与在水稻生产引进高产品种生产关系结构突变。在第二阶段中，使用以分解新老大米生产技术（的高产品种应用）到投入量技术的变化和变化之间的大米输出的差生产函数分解分析。结果表明，通过转移到新大米生产技术在水稻产量共成长为约126％的。然而，在纯的输出所估计的增长124％，其中76％是贡献的技术。这意味着更多的76％的输出可以用新的技术，而不是使用的输入旧技术水平来生产。其次，投入IN-褶皱水平的贡献是48％。间输入，区域的下稻的贡献（23％）最高，其次是劳动（17％）和农药（8％）。另外，投入的总价值保存（VIS）对样品农场用新技术，估计是63622个10000里亚尔。换句话说，为了通过采用旧技术（地方品种应用程序）生产大米520种色调，退耕农户需要147336个10000里亚尔的对抗只有83714 10000新的水稻生产技术里亚尔。此外，在使用的输入旧技术水平新技术大米输出的估计附加量为在样品上农场174 8色调。

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