Deli Serdang 地区水稻种植的技术效率分析:数据包络分析 (DEA) 方法

Chornelius Perangin Angin, H. Pakpahan, Manaor Bismar Posman Nababan
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引用次数: 0

摘要

得利士当地区是北苏门答腊省的主要稻米产地。事实上,得利士当地区的生产力已经停滞不前。农民遇到的问题是仍然采用单一种植模式,即每年只种植一种作物,气候变化以及投入品价格上涨。本研究旨在确定得里雪当地区农民的水稻种植是否有效,并找出影响得里雪当地区技术效率的社会经济因素。本研究采用数据包络分析法(DEA)和托比特回归法来衡量 400 名稻农的技术效率。研究发现,基于 CRS、VRS 和 SE 假设的技术效率值分别为 0.576、0.806 和 0.717。这三个值意味着低效水稻种植必须分别减少 42.6%、19.4% 和 28.3% 的投入,从而使低效种植变为高效。我们的研究还发现,提高技术效率的因素包括教育、信贷、灌溉、市场距离、经验和作物多样化。降低技术效率的因素是气候变化和投入价格上涨。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technical Efficiency Analysis of Rice Farming in Deli Serdang Regency: A Data Envelopment Analysis (DEA) Approach
Deli Serdang Regency is the leading rice producer in North Sumatra Province. The fact is that productivity in Deli Serdang Regency has stagnated. The problem experienced by farmers is that farmers still apply monoculture cropping patterns, namely farming with only one type of crop each year, climate change, and rising input prices. This study aims to determine whether rice farming is run by farmers in Deli Serdang Regency, whether or not it is efficient, and to find out the socio-economic factors that influence technical efficiency in Deli Serdang Regency. Our study uses the Data Envelopments Analysis (DEA) method and Tobit regression to measure the technical efficiency of 400 rice farmers. Our study found that the value of technical efficiency based on the CRS, VRS, and SE assumptions was 0.576, 0.806, and 0.717. These three values mean that inefficient rice farming must reduce inputs by 42.6%, 19.4%, and 28.3%, respectively, so inefficient farming becomes efficient. Our study also found that factors that increase technical efficiency are education, access to credit, access to irrigation, distance to markets, experience, and crop diversification. Factors reducing technical efficiency are climate change and rising input prices.
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