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Matleena Kniivilä

Researcher at University of Eastern Finland

Publications -  25
Citations -  462

Matleena Kniivilä is an academic researcher from University of Eastern Finland. The author has contributed to research in topics: Contingent valuation & Sustainable agriculture. The author has an hindex of 9, co-authored 24 publications receiving 423 citations. Previous affiliations of Matleena Kniivilä include Finnish Forest Research Institute.

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Industrial development and economic growth Implications for poverty reduction and income inequality

TL;DR: In this article, the authors discuss the impact of industrial development on economic growth and its impact on poverty and income inequality in seven countries, namely, China, India, Korea, Taiwan, Indonesia, Mexico and Brazil.
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Users and non-users of conservation areas: Are there differences in WTP, motives and the validity of responses in CVM surveys?

TL;DR: In this paper, the impact of previous use on respondents' willingness to support nature conservation, their motives for valuing the resource and the validity of responses was examined, and it was found that those planning to visit the area in the near future were more likely to pay for conservation than other respondents, even if they did not have previous use experience.
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Consumer versus citizen preferences in contingent valuation: evidence on the role of question framing*

TL;DR: In this paper, the consumer versus citizen hypothesis was revisited with a focus on the role of framing information, and different versions of the valuation question were used to encourage the respondents to take the consumer or the citizen role.
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Costs and benefits of forest conservation: regional and local comparisons in Eastern Finland

TL;DR: In this paper, the benefits and costs of existing conservation areas from the regional and local point of view were investigated, and it was shown that the aggregate benefits of conservation clearly exceed the total opportunity costs when viewed from a regional (or nationwide) perspective, but at the local level costs exceed the benefits.
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Integrating forest-level and compartment-level indices of species diversity with numerical forest planning.

TL;DR: In this paper, the authors proposed a technique which enables the computation of user-defined indices for species diversity, which are derived from characteristics, called diversity indicators, of inventory plots, stand compartments, and the whole forest holding.