印度粗粮的投入需求和产出供给弹性:一种跨对数利润和确定性方法

Radha R. Ashrit
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摘要

目的:目的是利用印度主要生产邦(安得拉邦、马哈拉施特拉邦和拉贾斯坦邦)的受限规范化超对数利润函数,估计玉米、乔瓦尔和巴吉拉产量的产出供应和投入需求弹性。研究设计:采用分层多阶段随机抽样设计进行抽样。研究地点和时间:该研究涉及2013-14和2017-18期间的横断面地块水平数据。该研究基于从印度政府农业部经济与统计局收集的二手数据。方法:对于目前研究的作物(玉米、乔瓦尔和巴吉拉),选择覆盖面积最大的州,即占种植总面积的85%。收集了农民的社会经济数据,如年龄、性别、教育水平、职业、土地持有规模。采用超对数利润函数方法作为计量经济学技术来估计产出供给和投入需求函数。劳动力、肥料和种子被视为可变投入。采用统计软件STATA version 16进行分析。结果:投入物和产出物的市场价格变化显著影响着农户的利润、作物产品供给和作物种植中的资源利用。玉米、乔瓦和巴吉拉的供应弹性相对于其本身的价格是正的,具有统计意义,表明支持价格的增加可以增加这些营养谷物的供应和农民的利润。该国对这些作物的劳动力需求是有弹性的,对其本身的价格也很重要。结论:在2013-14年(典型季风年)和2017-18年(干旱年)这两个时期,得到的弹性在统计上是稳健的,几乎所有的弹性都具有相容的标志,符合理论。推广这些作物有助于吸收劳动力。
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Input Demand and Output Supply Elasticities of Coarse Cereals in India: A Translog Profit and Sure Approach
Aims: The aim was to estimate the output supply and input demand elasticities of maize, jowar and bajra production, using the restricted normalised translog profit function, for the major producing states of India (Andhra Pradesh, Maharashtra and Rajasthan).  Study Design: A stratified multi-stage random sampling design was adopted for carrying out the sampling. Place and Duration of Study: The study pertains to cross sectional plot level data for the period 2013-14 and 2017-18. The study is based on secondary data, collected from Directorate of Economics & Statistics, Ministry of Agriculture, Government of India.  Methodology: For the present studied crops (maize, jowar and bajra), those states were selected which covered maximum area, i.e, 85% of the total area under the cultivation. Socio-economic data of farmers such as age, sex, level of education, occupation, size of landholding were collected. The translog profit function approach was used as the econometric technique to estimate output supply, and input demand functions. Labour, fertiliser and seeds are taken as variable inputs. Statistical software STATA version 16 was used for the analysis. Results: The results suggest that the changes in market prices of inputs and output significantly affect the farmers’ profits, crop produce supply and the use of resources in the cultivation of these crops. The supply elasticities of maize, jowar and bajra with respect to its own prices are positive and statistically significant indicating that increase in support prices can boost the supply of these nutri-grains and farmers profits. Labour demand for these crops in the country is elastic and significant to its own price. Conclusion: During both the periods, 2013-14 (typical monsoon year) and 2017-18 (drought year), the elasticities derived are statistically robust as almost all of them carried compatible signs and in line with the theory. Promoting these crops can contribute to labour absorption.
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