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  • 1.
    Akpalu, Wisdom
    et al.
    School of Research and Graduate Studies, Ghana Institute of Management and Public Administration, Achimota‐Accra, Ghana World Institute for Development Economics Research, United Nations University, University of Ghana, Accra, Ghana.
    Stage, Jesper
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Social Sciences. Mid Sweden University, Sundsvall, Sweden.
    Connectivity at a cost: Economic dynamics of restoring habitat connectivity2021In: Natural Resource Modeling, ISSN 0890-8575, E-ISSN 1939-7445, Vol. 34, no 1, article id e12294Article in journal (Refereed)
    Abstract [en]

    Both in the United States and in Europe there is ongoing work on reversing habitat fragmentation and the attendant loss in biodiversity in river systems caused by hydropower and other developments. Fish ladders and other measures are being introduced to restore the connectivity in river systems. In this paper, we set up a theoretical model to investigate what the conditions are for such an investment to be socially profitable. We find that, even in cases where it would have been socially preferable not to build hydropower installations in the first place, connectivity-restoring measures affecting the installations are not necessarily socially beneficial. This is the case for a wide range of plausible assumptions about discount rates, investment costs and productivity losses.

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  • 2.
    Kibira, Gerald
    et al.
    School of Economics, University of Dar es Salaam, Dar es Salaam, Tanzania.
    Muchapondwa, Edwin
    Luleå University of Technology, Department of Social Sciences, Technology and Arts, Social Sciences. School of Economics, University of Cape Town, Cape Town, South Africa.
    Ntuli, Herbert
    Department of Agricultural Economics, Extension and Rural Development, University of Pretoria, Pretoria, South Africa.
    The optimal combination of pastoral activities and wildlife conservation in the Serengeti ecosystem2024In: Natural Resource Modeling, ISSN 0890-8575, E-ISSN 1939-7445, Vol. 37, no 2, article id e12391Article in journal (Refereed)
    Abstract [en]

    There is competition for land between Maasai pastoralists and the park agency in the Serengeti ecosystem. The park agency wants to use the land for wildlife conservation while the pastoralist community wants to use it for livestock grazing. Predatory wildlife kills livestock while herbivorous wildlife competes with livestock for water and grazing. In retaliation, the Maasai hunt predators and grazers to protect their livestock and also to supply the black market for wildlife products. With both the Maasai and animal populations growing, increased conflicts are inevitable. This paper develops a bioeconomic model with three animal species to analyse the optimal combination of pastoral activities and wildlife conservation in the Serengeti ecosystem. Using Pontryagin's maximum principle, the market problem for each agent is optimized and compared to the social planner's outcome. Results show that the market solutions are suboptimal because of negative externalities affecting both agents and inadequate regard to biodiversity conservation values. Mathematical simulations of the bioeconomic model are used to generate a solution in which the Maasai pastoralists and park agency can optimally share the land for their mutual benefit. The policy implication is that the government should establish an independent regulatory institution with a primary mandate of balancing the contested socioeconomic and ecological needs of stakeholders in prime ecosystems such as the Serengeti.

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    fulltext
  • 3.
    Stage, Jesper
    Department of Economics, Umeå University.
    Optimal harvesting in an age-class model with age-specific mortalities: An example from Namibian linefishing2006In: Natural Resource Modeling, ISSN 0890-8575, E-ISSN 1939-7445, Vol. 19, no 4, p. 609-631Article in journal (Refereed)
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