农业信贷制度下的农业收入、产出和贷款情况

Denis Nadolnyak, Xuan Shen, Valentina Hartarska
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引用次数: 11

摘要

本文的目的是为FCS贷款对农业收入的积极影响提供证据,这对政策制定者在考虑改革和进一步支持这个百年历史的主要农业贷款机构时应该是有用的。作者根据FCS的财务报表构建了1991-2010年期间的面板,并评估了FCS机构的贷款如何影响农业收入和农业产出。作者使用固定效应估计和控制其他农业贷方的信贷以及资本存量、价格和利率。由于先前的研究表明,农村金融市场是分割的,FCS主要为大型全职农民提供房地产支持贷款,因此作者在较短的数据期内分别评估了农业房地产支持贷款和短期农业贷款的影响。作者还使用其他估计技术执行鲁棒性检查。作者发现,FCS机构的信贷与农业收入和产出之间存在正相关。估计的影响程度在1990年代比2000年代更大。FCS机构的信贷与农业收入和产出之间的积极联系支持了FCS贷款对农民有利的观点。证据也支持农村金融市场的分割假说。1991-2010年的财务报告数据来自ACAs和flca,这些数据在区域层面上汇总,因为没有明确的方法将FCS贷款分类为更分散的水平,如州。作者还收集并分析了一个国家级数据集,其中包含1991-2003年期间的国家级资产负债表数据。作者不知道还有其他研究将FCS机构的信贷(房地产和非房地产)与农业产出和农业收入直接联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Farm Income and Output and Lending by the Farm Credit System
The purpose of this paper is to provide evidence of the positive impact of the FCS lending on farm incomes which should be useful to policymakers as they consider reforms and further support for this 100-year-old major agricultural lender.,The authors construct a panel for the 1991-2010 period from the FCS financial statements and evaluate how lending by the FCS institutions has affected farm incomes and farm output. The authors use fixed effects estimations and control for credit by other agricultural lenders as well as the stock of capital, prices, and interest rates. Since previous work suggests that rural financial markets are segmented and the FCS serves larger full-time farmers with mostly real-estate backed loans, the authors evaluate the impacts of farm real-estate backed loans and of short-term agricultural loans separately for a shorter period for which the data is available. The authors also perform robustness checks with alternative estimation techniques.,The authors found a positive association between credit by the FCS institutions and farm income and output. The magnitude of the estimated impact is larger during the 1990s than in the 2000s.,The positive link between the FCS institutions’ credit and farm incomes and output supports the notion that the FCS lending was beneficial to farmers. The evidence also supports the segmentation hypothesis of rural financial markets. The financial reports data for 1991-2010 are from the ACAs and FLCAs aggregated on the regional level because there is no clear way to classify FCS lending to a more disaggregate level like the state. The authors also assemble and analyze a state-level data set that contains state-level balance sheet data for the period 1991-2003.,The authors are not aware of another work that directly links (real estate and non-real estate) credit by FCS institutions to agricultural output and farm incomes.
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