A Growing Problem: Exploring Livestock Farm Resilience to Droughts in Unit Record Data.

L. Timar, Eyal Apatov
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引用次数: 1

Abstract

Climate models indicate that New Zealand’s farms will be increasingly exposed to adverse climate events in the future. In this study, we empirically investigate drought impacts on farm enterprises by linking financial, agricultural and productivity data from Statistics New Zealand’s Longitudinal Business Database (LBD) with historical weather data from NIWA. Our sample consists of an unbalanced panel of over 67,000 observations of livestock farm enterprises between 2002 and 2012. We run a set of panel regressions with time and farm fixed effects to estimate the effect of changes in drought intensity on gross output, profit per hectare, current loans and intermediate expenditure of dairy and sheep-beef farms. To explore factors of resilience to droughts, we also examine how the estimates change with different farm characteristics. Most (but not all) of the estimated drought effects are significant, consistent across various specifications and of the expected sign. However, we have limited success in conclusively identifying farm characteristics that affect drought outcomes in our data.
一个日益严重的问题:在单位记录数据中探索畜牧业对干旱的适应能力。
气候模型表明,未来新西兰的农场将越来越多地受到不利气候事件的影响。在本研究中,我们通过将新西兰统计局纵向商业数据库(LBD)中的金融、农业和生产力数据与NIWA的历史天气数据联系起来,实证研究了干旱对农业企业的影响。我们的样本由一个不平衡的面板组成,该面板包含了2002年至2012年期间对畜牧场企业的67,000多个观察结果。我们运行了一组具有时间和农场固定效应的面板回归,以估计干旱强度变化对总产量、每公顷利润、当前贷款和奶牛场中间支出的影响。为了探索抗旱能力的因素,我们还研究了估算值如何随不同农场特征而变化。大多数(但不是全部)估计的干旱影响是显著的,在各种规格和预期的迹象中是一致的。然而,在我们的数据中,我们在确定影响干旱结果的农场特征方面取得了有限的成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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