水稻种植的瞬时和持续技术效率:广义真实随机效应模型方法

IF 1.1 Q3 ECONOMICS Econometrics Pub Date : 2024-08-12 DOI:10.3390/econometrics12030023
Phuc Trong Ho, Michael Burton, Atakelty Hailu, Chunbo Ma
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引用次数: 0

摘要

本研究采用广义真实随机效应(GTRE)模型估算瞬时和持续技术效率(TE)。我们使用最大似然法和贝叶斯估计法对 GTRE 模型进行估计,然后将其与嵌套在其中的三个更简单的模型进行比较,以评估我们估计结果的稳健性。我们使用了从越南湄公河三角洲 344 个水稻种植户收集的 945 个观测值的面板数据集。结果表明,在理解水稻生产的异质性和低效率方面,GTRE 模型比限制性模型更合适。总体技术效率的平均估算值为 0.71,其中占主导地位的是瞬时低效率而非持续低效率。这表明,稻农可以大幅提高产出,并将受益于更加重视解决短期低效问题的政策。
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Transient and Persistent Technical Efficiencies in Rice Farming: A Generalized True Random-Effects Model Approach
This study estimates transient and persistent technical efficiencies (TEs) using a generalized true random-effects (GTRE) model. We estimate the GTRE model using maximum likelihood and Bayesian estimation methods, then compare it to three simpler models nested within it to evaluate the robustness of our estimates. We use a panel data set of 945 observations collected from 344 rice farming households in Vietnam’s Mekong River Delta. The results indicate that the GTRE model is more appropriate than the restricted models for understanding heterogeneity and inefficiency in rice production. The mean estimate of overall technical efficiency is 0.71 on average, with transient rather than persistent inefficiency being the dominant component. This suggests that rice farmers could increase output substantially and would benefit from policies that pay more attention to addressing short-term inefficiency issues.
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来源期刊
Econometrics
Econometrics Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
2.40
自引率
20.00%
发文量
30
审稿时长
11 weeks
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