An Economic Model of Oil Exploration and Extraction
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DOI: 10.1007/s10614-011-9272-0
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Cited by:
- Nyambuu, Unurjargal & Semmler, Willi, 2020. "Climate change and the transition to a low carbon economy – Carbon targets and the carbon budget," Economic Modelling, Elsevier, vol. 84(C), pages 367-376.
- Sepehr Ramyar & Farhad Kianfar, 2019. "Forecasting Crude Oil Prices: A Comparison Between Artificial Neural Networks and Vector Autoregressive Models," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 743-761, February.
- Behnaz Minooei Fard & Willi Semmler & Giovanni Di Bartolomeo, 2023. "Rare Earth Elements: A game between China and the rest of the world," Working Papers in Public Economics 235, Department of Economics and Law, Sapienza University of Roma.
- Nyambuu, Unurjargal & Semmler, Willi, 2014. "Trends in the extraction of non-renewable resources: The case of fossil energy," Economic Modelling, Elsevier, vol. 37(C), pages 271-279.
- Yang, Shubo & Jahanger, Atif & Balsalobre-Lorente, Daniel, 2024. "Sustainable resource management in China's energy mining sector: A synthesis of development and conservation in the FinTech era," Resources Policy, Elsevier, vol. 89(C).
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More about this item
Keywords
Non-renewable resources; Optimal control; Non-parametric estimation; Oil production; Q30; C61;All these keywords.
JEL classification:
- Q30 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - General
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
Statistics
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