Purpose

The study analyses the preference for forestry insurance amongst tree growers in the Ashanti Region of Ghana. Specifically, the authors examine the factors influencing the amount of forestry insurance and the choice for forestry insurance types.

Design/methodology/approach

A total of one hundred and seventy (170) tree growers were sampled for the study. The tobit model, multi-nomial regression and Kendall's tau were employed to analyse the factors affecting the amount for forestry insurance, the choice for forestry insurance types and the perils to forest quality, respectively.

Findings

The results of the study indicate that the incidence of bush fire and theft were the key perils that affect forest quality. In total, 52.94% of respondents preferred forest plantation fire insurance as named-peril insurance whereas 70.59% preferred a combination of forest plantation fire, windstorm and consequential loss insurance as multi-peril insurance. The majority (89.4%) of the respondents were willing to pay an amount between Ghc 10.00–49.00 (US$ 2–8) per stand. On the one hand, results of the tobit model reveal age, income, experience in forest management, land ownership and the previous occurrence of fire as the factors affecting the amount for forestry insurance. On the other hand, the multi-nomial results indicate the previous occurrence of fire, gender, forest size, income and risk aversion significantly influenced the choice for forestry insurance types, namely named peril and multi-peril.

Originality/value

Several studies exist for forestry insurance in the developed countries. However, in West Africa specifically, Ghana, studies on forestry insurance appear to be non-existent. Above and beyond, this study, therefore, adds to the paucity of research on forestry insurance in Ghana and serves as a framework for agricultural insurance institutions such as the Ghana Agricultural Insurance Pool (GAIP) and World cover and other agricultural insurance institutions globally.

中文翻译：

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加纳阿散蒂地区树木种植者的林业保险偏好：tobit 和多项式回归方法

目的

该研究分析了加纳阿散蒂地区树木种植者对林业保险的偏好。具体而言，作者考察了影响林业保险金额和林业保险类型选择的因素。

设计/方法/方法

共有一百七十 (170) 名树木种植者被抽样用于研究。采用tobit模型、多项式回归和Kendall's tau分别分析了影响林业保险金额、林业保险类型选择和森林质量风险的因素。

发现

研究结果表明，丛林火灾和盗窃的发生率是影响森林质量的主要危险因素。总体而言，52.94% 的受访者更喜欢人工林火灾保险作为指定风险保险，而 70.59% 的受访者更喜欢将人工林火灾、风暴和间接损失保险组合作为多险种保险。大多数 (89.4%) 的受访者愿意为每个展位支付 10.00-49.00 Ghc（2-8 美元）的费用。一方面，托比特模型的结果揭示了年龄、收入、森林经营经验、土地所有权和先前发生的火灾是影响林业保险金额的因素。另一方面，多项结果表明先前发生的火灾、性别、森林大小、

原创性/价值

对发达国家的林业保险已有多项研究。然而，特别是在西非，特别是加纳，对林业保险的研究似乎不存在。因此，除此之外，这项研究增加了加纳林业保险研究的匮乏，并为加纳农业保险库 (GAIP) 和 World cover 以及全球其他农业保险机构等农业保险机构提供了框架。