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

机译：高产品种对水稻产量增长的影响：数学和计量经济学分析

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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：稻米是世界一半以上人口最重要的主食作物。因此，世界稻米产量需要增加，而土地，水和劳动力都在减少。本文旨在确定高产品种对水稻产量增长的影响。生产函数分解分析用于将新旧稻米生产技术（应用高产和本地品种）之间的稻米产量差异分解为技术变化和投入量变化。该研究基于一次抽样调查（2004年），从样本农户收集的横断面投入产出数据，包括100个观测值，案例研究为马赞达兰省-伊朗。在第一阶段，将虚拟变量定义为合并生产函数中的技术短语（高产品种）。结果表明，虚拟变量在集合生产函数中的回归系数显着。因此，这意味着在水稻生产中，随着高产品种的引入，生产关系出现结构性断裂。在第二阶段，利用生产函数分解分析将新旧稻米生产技术（应用高产品种）之间的稻米产量差异分解为技术变化和投入量变化。结果表明，转向新的水稻生产技术后，水稻总产量增长了约126％。但是，估计的净产量增长为124％，其中76％来自技术。这意味着采用新技术而不是使用旧技术水平的投入可以增加76％的产出。其次，投入水平提高的贡献为48％。在投入中，水稻面积的贡献最大（23％），其次是劳动力（17％）和农药（8％）。此外，采用新技术的样本农场节省的投入总价值（VIS）估计为63622万元里亚尔。换句话说，为了采用旧技术（应用当地品种）来生产520吨大米，与新的稻米生产技术相比，爱好者需要147336里亚尔，而只需要83714里亚尔。此外，在样本农场中，采用旧技术投入水平的新技术估算的水稻大米附加产量为174. 8吨。

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