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              <text>Resource Curse - Impact of Renewable Natural Resources on Economic Growth in the U.S. using ARDL Approach</text>
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              <text>ARDL; causal relations; Resource Curse; Resource paradox; World Bank</text>
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              <text>The analyses of the resource paradox in the United States of 29 years are conducted by the econometric model of ARDL. The dataset taken for the study is from the source of World Bank. After testing the stationarity and cointegration of 4 independent variable and one dependent variables of Gross Domestic product, this study will be giving the conclusion of long term and short-term relations of the variables to show the existence of Resource curse in the US within the 29 years of dataset. Causation test shows that there doesn't exist any particular causal relations between the variables and hence there need to be thorough study in this phenomenon.   2024 IEEE.</text>
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              <text>Jain P.; Vijayalakshmi S.; Sharma A.</text>
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              <text>TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/TQCEBT59414.2024.10545182" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/TQCEBT59414.2024.10545182&lt;/a&gt;
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              <text>ISBN: 979-835038427-7</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Jain P., Christ (Deemed to Be) University, Department of Data Science, Lavasa Campus, Pune, India; Vijayalakshmi S., Christ (Deemed to Be) University, Department of Data Science, Lavasa Campus, Pune, India; Sharma A., Christ (Deemed to Be) University, Department of Data Science, Lavasa Campus, Pune, India</text>
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