Estimation of Determinants of Farmland Abandonment and Its Data Problems
Estimation of Determinants of Farmland Abandonment and Its Data Problems
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DOI：
10.3390/land10060596
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发表时间：
2021-06
期刊：
影响因子：
3.9
通讯作者：
Shinichi Kitano
中科院分区：
文献类型：
--
作者：
Shinichi Kitano
在发达国家，农业在长期投入的土地资源的有效利用方面处于相对劣势，废弃农田的问题尤其严重。虽然许多研究估计了这些问题的原因，但很少有详细讨论数据特征和准确性对估计结果的影响。在这项研究中，相关的基础数据和估计的耕地抛荒的决定因素的问题进行了审查。以往关于日本农地废弃的研究，大多以人口普查数据为基础进行分析。然而，普查数据是由农民主观记录的。为了解决这一问题，由第三方对废弃农田进行调查，并将调查结果编入地理信息系统数据库。两种类型的数据集（主观的人口普查数据和客观的GIS数据）的估计性能进行了检查。虽然这两组数据是相关的，但它们之间存在相当大的差异。主观变量与主观数据兼容，客观变量与客观数据兼容（这意味着参数很容易识别）。用于分析的原始数据，如政策变量，与客观数据是兼容的。在政策评估研究中，应注意客观收集数据。
Abandoned farmland is particularly problematic in developed countries where agriculture has a comparative disadvantage in terms of effective use of land resources invested over time. While many studies have estimated the causes of these problems, few have discussed in detail the impact of data characteristics and accuracy on the estimation results. In this study, issues related to the underlying data and the estimation of the determinants of farmland abandonment were examined. Most previous studies on farmland abandonment in Japan have used census data as the basis of their analyses. However, census data are recorded subjectively by farmers. To address this, surveys of abandoned farmland are being conducted by a third party, and the results are compiled into a geographic information system (GIS) database. Two types of datasets (subjective census data and objective GIS data) were examined for their estimation performance. Although the two sets of data are correlated, there are considerable differences between them. Subjective variables are compatible with subjective data, and objective variables are compatible with objective data (meaning that parameters are easily identified). Original data for analysis, such as policy variables, are compatible with objective data. In policy evaluation research, attention should be paid to objective data collection.