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Impacts of energy shocks on US agricultural productivity growth and commodity prices—A structural VAR analysis

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  1. Xinyu Yuan & Jiechen Tang & Wing-Keung Wong & Songsak Sriboonchitta, 2020. "Modeling Co-Movement among Different Agricultural Commodity Markets: A Copula-GARCH Approach," Sustainability, MDPI, vol. 12(1), pages 1-17, January.
  2. Nie, Pu-yan & Yang, Yong-cong, 2016. "Effects of energy price fluctuations on industries with energy inputs: An application to China," Applied Energy, Elsevier, vol. 165(C), pages 329-334.
  3. Suh, Dong Hee, 2015. "Identifying Factor Substitution and Energy Intensity in the U.S. Agricultural Sector," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205264, Agricultural and Applied Economics Association.
  4. Ding, Qian & Huang, Jianbai & Gao, Wang & Zhang, Hongwei, 2022. "Does political risk matter for gold market fluctuations? A structural VAR analysis," Research in International Business and Finance, Elsevier, vol. 60(C).
  5. Wang, Sun Ling & Mosheim, Roberto & Njuki, Eric & Nehring, Richard, 2022. "U.S. agricultural productivity growth: measurement, trends, and drivers (1948-2019)," Agricultural Outlook Forum 2022 321121, United States Department of Agriculture, Agricultural Outlook Forum.
  6. Regmi, Madhav & Featherstone, Allen M., 2017. "U.S. Energy Price Volatility Spillover in Global Corn Markets," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252776, Southern Agricultural Economics Association.
  7. Xian, Hui & Colson, Gregory & Karali, Berna & Wetzstein, Michael, 2017. "Do nonrenewable-energy prices affect renewable-energy volatility? The case of wood pellets," Journal of Forest Economics, Elsevier, vol. 28(C), pages 42-48.
  8. Dong Hee Suh, 2015. "Declining Energy Intensity in the U.S. Agricultural Sector: Implications for Factor Substitution and Technological Change," Sustainability, MDPI, vol. 7(10), pages 1-14, September.
  9. Luo, Jiawen & Ji, Qiang, 2018. "High-frequency volatility connectedness between the US crude oil market and China's agricultural commodity markets," Energy Economics, Elsevier, vol. 76(C), pages 424-438.
  10. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
    • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
  11. Mutiu A. Oyinlola & Abdulfatai A. Adedeji & Nafisat Olabisi, 2021. "Technology, energy use, and agricultural value addition nexus: an exploratory analysis from SSA countries," Economic Change and Restructuring, Springer, vol. 54(2), pages 457-490, May.
  12. Llop Llop, Maria, 2017. "Measuring the influence of energy prices within the price formation mechanism," Working Papers 2072/290764, Universitat Rovira i Virgili, Department of Economics.
  13. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Adewuyi, Adeolu O. & Lee, Chien-Chiang, 2022. "Quantile risk spillovers between energy and agricultural commodity markets: Evidence from pre and during COVID-19 outbreak," Energy Economics, Elsevier, vol. 113(C).
  14. Zhao, Weigang & Cao, Yunfei & Miao, Bo & Wang, Ke & Wei, Yi-Ming, 2018. "Impacts of shifting China's final energy consumption to electricity on CO2 emission reduction," Energy Economics, Elsevier, vol. 71(C), pages 359-369.
  15. Balcilar, Mehmet & Gabauer, David & Umar, Zaghum, 2021. "Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 73(C).
  16. Kuruppuarachchi, Duminda & Premachandra, I.M., 2016. "Information spillover dynamics of the energy futures market sector: A novel common factor approach," Energy Economics, Elsevier, vol. 57(C), pages 277-294.
  17. Dahl, Roy Endré & Oglend, Atle & Yahya, Muhammad, 2020. "Dynamics of volatility spillover in commodity markets: Linking crude oil to agriculture," Journal of Commodity Markets, Elsevier, vol. 20(C).
  18. Chen, Hao & Liao, Hua & Tang, Bao-Jun & Wei, Yi-Ming, 2016. "Impacts of OPEC's political risk on the international crude oil prices: An empirical analysis based on the SVAR models," Energy Economics, Elsevier, vol. 57(C), pages 42-49.
  19. Robert G. Chambers & Simone Pieralli, 2020. "The Sources of Measured US Agricultural Productivity Growth: Weather, Technological Change, and Adaptation," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1198-1226, August.
  20. Mat Rahim, Siti Rohaya, 2014. "Asymmetric Cointegration: Barley and Crude Oil Price in United States," MPRA Paper 58447, University Library of Munich, Germany.
  21. Dalheimer, Bernhard & Herwartz, Helmut & Lange, Alexander, 2021. "The threat of oil market turmoils to food price stability in Sub-Saharan Africa," Energy Economics, Elsevier, vol. 93(C).
  22. Ball, V.E. & Färe, R. & Grosskopf, S. & Margaritis, D., 2015. "The role of energy productivity in U.S. agriculture," Energy Economics, Elsevier, vol. 49(C), pages 460-471.
  23. Llop, Maria, 2018. "Measuring the influence of energy prices in the price formation mechanism," Energy Policy, Elsevier, vol. 117(C), pages 39-48.
  24. Mišečka, Tomáš & Ciaian, Pavel & Rajčániová, Miroslava & Pokrivčák, Jan, 2019. "In search of attention in agricultural commodity markets," Economics Letters, Elsevier, vol. 184(C).
  25. Weigang Zhao & Yunfei Cao & Bo Miao & Ke Wang & Yi-Ming Wei, 2018. "Impacts of shifting China¡¯s final energy consumption to electricity on CO2 emission reduction," CEEP-BIT Working Papers 115, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  26. Ye Chen & Jian Li & Qiyuan Li, 2023. "Seemingly Unrelated Regression Estimation for VAR Models with Explosive Roots," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(4), pages 910-937, August.
  27. Olanipekun, Ifedolapo O. & Usman, Ojonugwa, 2019. "Modelling Food and Nonfood Production in India: The Effects of Oil Price using Bayer-Hanck Combined Cointegration Approach," MPRA Paper 96336, University Library of Munich, Germany, revised 2019.
  28. Jia-Yin Yin & Yun-Fei Cao & Bao-Jun Tang, 2019. "Fairness of China’s provincial energy environment efficiency evaluation: empirical analysis using a three-stage data envelopment analysis model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 343-362, January.
  29. Wang, Sun Ling & Heisey, Paul & Schimmelpfennig, David & Ball, Eldon, 2015. "Agricultural Productivity Growth in the United States: Measurement, Trends, and Drivers," Economic Research Report 207954, United States Department of Agriculture, Economic Research Service.
  30. Zhang, Dayong & Broadstock, David C., 2020. "Global financial crisis and rising connectedness in the international commodity markets," International Review of Financial Analysis, Elsevier, vol. 68(C).
  31. Yahya, Muhammad & Oglend, Atle & Dahl, Roy Endré, 2019. "Temporal and spectral dependence between crude oil and agricultural commodities: A wavelet-based copula approach," Energy Economics, Elsevier, vol. 80(C), pages 277-296.
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