Natural Resource Economic Theory and Intertemporal Allocation
Summary
Natural resource economic theory examines the allocation of exhaustible and renewable resources over time to maximise social welfare. Central to this field is the notion that resource extraction and consumption today influence availability and economic returns in the future. Models integrate physical stock dynamics with market behaviour, yielding optimal extraction paths that balance present gains against future scarcity. Non-renewable resources are often analysed through Hotelling’s rule, which prescribes a rate of price increase equal to the interest rate, whereas renewable resources invoke models of sustainable yield and regeneration rates. Discounting plays a critical role in weighting future benefits and costs, raising normative questions about intergenerational equity and the choice of social discount rate. Policy applications range from designing carbon taxes and tradable permits to setting forestry rotation ages and fisheries quota systems. Recent advances incorporate uncertainty, technological change, and environmental externalities, yielding more robust guidance for long-term stewardship of global resource stocks.
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Natural Resource Economic Theory and Intertemporal Allocation publication trend
The graph below shows the total number of articles in natural resource economic theory and intertemporal allocation across all publications each year (not limited to Nature Index journals).
Technical terms
Intertemporal allocation: Distribution of resource use and associated benefits over different time periods to achieve welfare maximisation.
Hotelling’s rule: A principle stating that the net price of an exhaustible resource should rise at the rate of interest to reflect increasing scarcity.
Discount rate: The rate used to convert future costs and benefits into present-value terms, embodying preferences for present consumption and opportunity cost of capital.
Common-pool resource: A resource system characterised by difficulty of exclusion and subtractability, where one user’s consumption reduces availability to others.
Dynamic optimisation: A mathematical framework for determining the sequence of decisions over time that maximises an objective function under evolving constraints.
References
- Asymmetrical Contributions to the Tragedy of the Commons and Some Implications for Conservation. Sustainability (2013).
- Simulating resource movements and markets: A continuous dynamical system with delays to model anthropogenic metal cycles. Resources Policy (2025).
- The Baleen Whales’ Saving Grace: The Introduction of Petroleum Based Products in the Market and Its Impact on the Whaling Industry. Sustainability (2010).
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