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Lise Tole

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Koop, Gary & Tole, Lise, 1999. "Is there an environmental Kuznets curve for deforestation?," Journal of Development Economics, Elsevier, vol. 58(1), pages 231-244, February.

    Mentioned in:

    1. वनोन्मूलन in Wikipedia (Hindi)
    2. Krčenje gozdov in Wikipedia (Slovenian)

Working papers

  1. Gary Koop & Lise Tole, 2011. "Forecasting the European Carbon Market," Working Papers 1110, University of Strathclyde Business School, Department of Economics.

    Cited by:

    1. Zhu, Bangzhu & Ye, Shunxin & Han, Dong & Wang, Ping & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "A multiscale analysis for carbon price drivers," Energy Economics, Elsevier, vol. 78(C), pages 202-216.
    2. Andrea Bastianin & Elisabetta Mirto & Yan Qin & Luca Rossini, 2024. "What drives the European carbon market? Macroeconomic factors and forecasts," Working Papers 2024.02, Fondazione Eni Enrico Mattei.
    3. Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
    4. Koch, Nicolas & Fuss, Sabine & Grosjean, Godefroy & Edenhofer, Ottmar, 2014. "Causes of the EU ETS price drop: Recession, CDM, renewable policies or a bit of everything?—New evidence," Energy Policy, Elsevier, vol. 73(C), pages 676-685.
    5. Po Yun & Chen Zhang & Yaqi Wu & Xianzi Yang & Zulfiqar Ali Wagan, 2020. "A Novel Extended Higher-Order Moment Multi-Factor Framework for Forecasting the Carbon Price: Testing on the Multilayer Long Short-Term Memory Network," Sustainability, MDPI, vol. 12(5), pages 1-16, March.
    6. Naser, Hanan, 2016. "Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach," Energy Economics, Elsevier, vol. 56(C), pages 75-87.
    7. Yusupova, Alisa & Pavlidis, Nicos G. & Pavlidis, Efthymios G., 2023. "Dynamic linear models with adaptive discounting," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1925-1944.
    8. Koch, Nicolas & Grosjean, Godefroy & Fuss, Sabine & Edenhofer, Ottmar, 2016. "Politics matters: Regulatory events as catalysts for price formation under cap-and-trade," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 121-139.
    9. Koop, Gary & Tole, Lise, 2013. "Modeling the relationship between European carbon permits and certified emission reductions," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 166-181.
    10. Miguel, Belmonte & Gary, Koop, 2013. "Model Switching and Model Averaging in Time- Varying Parameter Regression Models," SIRE Discussion Papers 2013-34, Scottish Institute for Research in Economics (SIRE).
    11. Pierre Guérin & Danilo Leiva-Leon, 2015. "Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data," Staff Working Papers 15-24, Bank of Canada.
    12. Lei, Heng & Xue, Minggao & Liu, Huiling, 2022. "Probability distribution forecasting of carbon allowance prices: A hybrid model considering multiple influencing factors," Energy Economics, Elsevier, vol. 113(C).
    13. Xu, Hua & Wang, Minggang & Jiang, Shumin & Yang, Weiguo, 2020. "Carbon price forecasting with complex network and extreme learning machine," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    14. Liu, Li & Ma, Feng & Wang, Yudong, 2015. "Forecasting excess stock returns with crude oil market data," Energy Economics, Elsevier, vol. 48(C), pages 316-324.
    15. Risse, Marian & Ohl, Ludwig, 2017. "Using dynamic model averaging in state space representation with dynamic Occam’s window and applications to the stock and gold market," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 158-176.
    16. Pan, Zhiyuan & Wang, Qing & Wang, Yudong & Yang, Li, 2018. "Forecasting U.S. real GDP using oil prices: A time-varying parameter MIDAS model," Energy Economics, Elsevier, vol. 72(C), pages 177-187.
    17. Zhu, Bangzhu & Wan, Chunzhuo & Wang, Ping, 2022. "Interval forecasting of carbon price: A novel multiscale ensemble forecasting approach," Energy Economics, Elsevier, vol. 115(C).
    18. Alisa Yusupova & Nicos G. Pavlidis & Efthymios G. Pavlidis, 2019. "Adaptive Dynamic Model Averaging with an Application to House Price Forecasting," Papers 1912.04661, arXiv.org.
    19. Simone Borghesi & Giulio Cainelli & Massimiliano Mazzanti, 2012. "Brown Sunsets and Green Dawns in the Industrial Sector: Environmental Innovations, Firm Behavior and the European Emission Trading," Working Papers 2012.03, Fondazione Eni Enrico Mattei.
    20. Cainelli, Giulio & Mazzanti, Massimiliano, 2013. "Environmental innovations in services: Manufacturing–services integration and policy transmissions," Research Policy, Elsevier, vol. 42(9), pages 1595-1604.
    21. Jonathan Berrisch & Florian Ziel, 2021. "CRPS Learning," Papers 2102.00968, arXiv.org, revised Nov 2021.
    22. Zhu, Bangzhu & Huang, Liqing & Yuan, Lili & Ye, Shunxin & Wang, Ping, 2020. "Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 163-175.
    23. Quande Qin & Huangda He & Li Li & Ling-Yun He, 2020. "A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1249-1273, April.
    24. Jian Liu & Ziting Zhang & Lizhao Yan & Fenghua Wen, 2021. "Forecasting the volatility of EUA futures with economic policy uncertainty using the GARCH-MIDAS model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
    25. Venmans, Frank, 2012. "A literature-based multi-criteria evaluation of the EU ETS," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5493-5510.
    26. Zhu, Bangzhu & Han, Dong & Chevallier, Julien & Wei, Yi-Ming, 2017. "Dynamic multiscale interactions between European carbon and electricity markets during 2005–2016," Energy Policy, Elsevier, vol. 107(C), pages 309-322.
    27. Zhu, Bangzhu & Ye, Shunxin & Wang, Ping & He, Kaijian & Zhang, Tao & Wei, Yi-Ming, 2018. "A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting," Energy Economics, Elsevier, vol. 70(C), pages 143-157.
    28. Ren, Xiaohang & Duan, Kun & Tao, Lizhu & Shi, Yukun & Yan, Cheng, 2022. "Carbon prices forecasting in quantiles," Energy Economics, Elsevier, vol. 108(C).
    29. Jianguo Zhou & Qiqi Wang, 2021. "Forecasting Carbon Price with Secondary Decomposition Algorithm and Optimized Extreme Learning Machine," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    30. Bent Jesper Christensen & Nabanita Datta Gupta & Paolo Santucci de Magistris, 2021. "Measuring the impact of clean energy production on CO2 abatement in Denmark: Upper bound estimation and forecasting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 118-149, January.
    31. Hyeonho Kim & Yujin Kim & Yongho Ko & Seungwoo Han, 2022. "Performance Comparison of Predictive Methodologies for Carbon Emission Credit Price in the Korea Emission Trading System," Sustainability, MDPI, vol. 14(13), pages 1-20, July.
    32. Krzysztof Jajuga & Lucjan T. Orlowski & Karsten Staehr (ed.), 2017. "Contemporary Trends and Challenges in Finance," Springer Proceedings in Business and Economics, Springer, number 978-3-319-54885-2, September.
    33. Po Yun & Chen Zhang & Yaqi Wu & Yu Yang, 2022. "Forecasting Carbon Dioxide Price Using a Time-Varying High-Order Moment Hybrid Model of NAGARCHSK and Gated Recurrent Unit Network," IJERPH, MDPI, vol. 19(2), pages 1-19, January.
    34. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    35. Yang Liu & Xueqing Yang & Mei Wang, 2021. "Global Transmission of Returns among Financial, Traditional Energy, Renewable Energy and Carbon Markets: New Evidence," Energies, MDPI, vol. 14(21), pages 1-32, November.
    36. Krzysztof Drachal, 2018. "Some Novel Bayesian Model Combination Schemes: An Application to Commodities Prices," Sustainability, MDPI, vol. 10(8), pages 1-27, August.
    37. Giulio Cainelli & Massimiliano Mazzanti & Simone Borghesi, 2012. "The European Emission Trading Scheme and environmental innovation diffusion: Empirical analyses using Italian CIS data," Working Papers 201201, University of Ferrara, Department of Economics.
    38. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2022. "Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals," International Journal of Forecasting, Elsevier, vol. 38(3), pages 944-969.
    39. Liu, Li & Wang, Yudong & Yang, Li, 2018. "Predictability of crude oil prices: An investor perspective," Energy Economics, Elsevier, vol. 75(C), pages 193-205.
    40. Jianguo Zhou & Xuejing Huo & Xiaolei Xu & Yushuo Li, 2019. "Forecasting the Carbon Price Using Extreme-Point Symmetric Mode Decomposition and Extreme Learning Machine Optimized by the Grey Wolf Optimizer Algorithm," Energies, MDPI, vol. 12(5), pages 1-22, March.
    41. Wang, Minggang & Zhu, Mengrui & Tian, Lixin, 2022. "A novel framework for carbon price forecasting with uncertainties," Energy Economics, Elsevier, vol. 112(C).

Articles

  1. Lise Tole & Gary Koop, 2011. "Do environmental regulations affect the location decisions of multinational gold mining firms?," Journal of Economic Geography, Oxford University Press, vol. 11(1), pages 151-177, January.

    Cited by:

    1. Liu, Shaohui & Liu, Chuanjiang & Yang, Mian, 2022. "Greening of Chinese industrial sector: Stakeholders' responsiveness to non-governmental environmental monitoring," China Economic Review, Elsevier, vol. 72(C).
    2. Anja Tolonen, 2019. "Endogenous Gender Roles: Evidence from Africa’s Gold Mining Industry," OxCarre Working Papers 209, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
    3. Yıldız, Taşkın Deniz, 2020. "The impacts of EIA procedure on the mining sector in the permit process of mining operating activities & Turkey analysis," Resources Policy, Elsevier, vol. 67(C).
    4. Yu-Hong Ai & Di-Yun Peng & Huan-Huan Xiong, 2021. "Impact of Environmental Regulation Intensity on Green Technology Innovation: From the Perspective of Political and Business Connections," Sustainability, MDPI, vol. 13(9), pages 1-23, April.
    5. Yang, Ruicheng & Xing, Weize & Hou, Shuxia, 2020. "Evaluating the risk factors influencing foreign direct investment in Mongolia's mining sector: A complex network approach," Emerging Markets Review, Elsevier, vol. 43(C).
    6. Cui, Jingbo & Moschini, GianCarlo, 2020. "Firm internal network, environmental regulation, and plant death," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    7. Lutao Ning & Fan Wang, 2018. "Does FDI Bring Environmental Knowledge Spillovers to Developing Countries? The Role of the Local Industrial Structure," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(2), pages 381-405, October.
    8. Zhonghua Cheng & Lianshui Li & Jun Liu, 2018. "The spatial correlation and interaction between environmental regulation and foreign direct investment," Journal of Regulatory Economics, Springer, vol. 54(2), pages 124-146, October.
    9. ROCHELANDET, Fabrice & TAI, Silvio H.T., 2012. "Do privacy laws affect the location decisions of internet firms? evidence for privacy havens," MPRA Paper 37354, University Library of Munich, Germany.
    10. Yunyi Hu & Haitao Yin & Jon J. Moon, 2022. "Environmental regulation and foreign investment: Evidence from China," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 862-883, November.
    11. Duanmu, Jing-Lin, 2014. "A race to lower standards? Labor standards and location choice of outward FDI from the BRIC countries," International Business Review, Elsevier, vol. 23(3), pages 620-634.
    12. Assad Ullah & Xinshun Zhao & Muhammad Abdul Kamal & Jiajia Zheng, 2022. "Environmental regulations and inward FDI in China: Fresh evidence from the asymmetric autoregressive distributed lag approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1340-1356, January.
    13. Söderholm, Kristina & Söderholm, Patrik & Helenius, Heidi & Pettersson, Maria & Viklund, Roine & Masloboev, Vladimir & Mingaleva, Tatiana & Petrov, Viktor, 2015. "Environmental regulation and competitiveness in the mining industry: Permitting processes with special focus on Finland, Sweden and Russia," Resources Policy, Elsevier, vol. 43(C), pages 130-142.
    14. Timothy Laing, 2015. "Rights to the forest, REDD+ and elections: Mining in Guyana," GRI Working Papers 181, Grantham Research Institute on Climate Change and the Environment.
    15. Slade, Margaret E., 2015. "The rise and fall of an industry: Entry in U.S. copper mining, 1835–1986," Resource and Energy Economics, Elsevier, vol. 42(C), pages 141-169.
    16. Daniela Maggioni & Grazia D. Santangelo & Seda Koymen-Ozer, 2019. "MNEs’ location strategies and labor standards: The role of operating and reputational considerations across industries," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(6), pages 948-972, August.
    17. Liu, Chelsea, 2018. "Are women greener? Corporate gender diversity and environmental violations," Journal of Corporate Finance, Elsevier, vol. 52(C), pages 118-142.
    18. Mei Ren & Caihong Huang & Xiaomin Wang & Wei Hu & Wenxin Zhang, 2019. "Research on the Distribution of Pollution-Intensive Industries and Their Spatial Effects in China," Sustainability, MDPI, vol. 11(19), pages 1-20, September.
    19. Söderholm, Patrik, 2023. "How environmental permitting uncertainty in large-scale mining could influence subcontractors: The underlying chicken-and-egg problem," Resources Policy, Elsevier, vol. 82(C).

  2. Gary Koop & Lise Tole, 2008. "What is the environmental performance of firms overseas? An empirical investigation of the global gold mining industry," Journal of Productivity Analysis, Springer, vol. 30(2), pages 129-143, October.

    Cited by:

    1. Hosseinzadeh, Ahmad & Smyth, Russell & Valadkhani, Abbas & Le, Viet, 2016. "Analyzing the efficiency performance of major Australian mining companies using bootstrap data envelopment analysis," Economic Modelling, Elsevier, vol. 57(C), pages 26-35.
    2. Shahbaz, Muhammad, 2013. "Does financial instability increase environmental degradation? Fresh evidence from Pakistan," Economic Modelling, Elsevier, vol. 33(C), pages 537-544.
    3. Anthony Glass & Karligash Kenjegalieva & Robin Sickles, 2013. "How efficiently do U.S. cities manage roadway congestion?," Journal of Productivity Analysis, Springer, vol. 40(3), pages 407-428, December.
    4. Magambo, Isaiah Hubert & Dikgang, Johane & Gelo, Dambala & Tregenna, Fiona, 2021. "Dynamic Technical and Environmental Efficiency Performance of Large Gold Mines in Developing Countries," EconStor Preprints 235859, ZBW - Leibniz Information Centre for Economics.
    5. Kukenova, Madina & Monteiro, Jose-Antonio, 2008. "Does Lax Environmental Regulation Attract FDI when accounting for "third-country" effects?," MPRA Paper 11321, University Library of Munich, Germany, revised Sep 2008.
    6. Dong, Feng & Li, Yangfan & Li, Kun & Zhu, Jiao & Zheng, Lu, 2022. "Can smart city construction improve urban ecological total factor energy efficiency in China? Fresh evidence from generalized synthetic control method," Energy, Elsevier, vol. 241(C).
    7. Morakinyo Adetutu & Anthony Glass & Karligash Kenjegalieva & Robin Sickles, 2015. "The effects of efficiency and TFP growth on pollution in Europe: a multistage spatial analysis," Journal of Productivity Analysis, Springer, vol. 43(3), pages 307-326, June.
    8. Yan Wang & Tao Zhou & Hao Chen & Zhihai Rong, 2019. "Environmental Homogenization or Heterogenization? The Effects of Globalization on Carbon Dioxide Emissions, 1970–2014," Sustainability, MDPI, vol. 11(10), pages 1-23, May.

  3. Solano, C. & Leon, H. & Perez, E. & Tole, L. & Fawcett, R.H. & Herrero, M., 2006. "Using farmer decision-making profiles and managerial capacity as predictors of farm management and performance in Costa Rican dairy farms," Agricultural Systems, Elsevier, vol. 88(2-3), pages 395-428, June.

    Cited by:

    1. Levi, Loïc & Latruffe, Laure & Ridier, Aude, 2019. "Farm performance and investment decisions: evidence from the French (Brittany) dairy sector," Working Papers 285033, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    2. Peter Nuthall, 2009. "Modelling the origins of managerial ability in agricultural production ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(3), pages 413-436, July.
    3. Antón García-Martínez & José Rivas-Rangel & Jaime Rangel-Quintos & José Antonio Espinosa & Cecilio Barba & Carmen De-Pablos-Heredero, 2016. "A Methodological Approach to Evaluate Livestock Innovations on Small-Scale Farms in Developing Countries," Future Internet, MDPI, vol. 8(2), pages 1-17, June.
    4. Berkhout, Ezra D. & Schipper, Robert A. & Kuyvenhoven, Arie & Coulibaly, Ousmane, 2009. "Does heterogeneity in goals and preferences affect allocative and technical efficiency? A case study in Northern Nigeria," 2009 Conference, August 16-22, 2009, Beijing, China 51676, International Association of Agricultural Economists.
    5. Coppola, A. & Ianuario, S. & Chinnici, G. & Di Vita, G. & Pappalardo, G. & D'Amico, D., 2018. "Endogenous and Exogenous Determinants of Agricultural Productivity: What Is the Most Relevant for the Competitiveness of the Italian Agricultural Systems?," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(2).
    6. Ezra D. Berkhout & Robert A. Schipper & Arie Kuyvenhoven & Ousmane Coulibaly, 2010. "Does heterogeneity in goals and preferences affect efficiency? A case study of farm households in northern Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 41(3‐4), pages 265-273, May.
    7. Roel Jongeneel & Ana Gonzalez-Martinez, 2022. "EU Dairy after the Quota Abolition: Inelastic Asymmetric Price Responsiveness and Adverse Milk Supply during Crisis Time," Agriculture, MDPI, vol. 12(12), pages 1-16, November.
    8. Vayssières, Jonathan & Bocquier, François & Lecomte, Philippe, 2009. "GAMEDE: A global activity model for evaluating the sustainability of dairy enterprises. Part II - Interactive simulation of various management strategies with diverse stakeholders," Agricultural Systems, Elsevier, vol. 101(3), pages 139-151, July.
    9. Gómez-Limón, José A. & Gutiérrez-Martín, Carlos & Riesgo, Laura, 2016. "Modeling at farm level: Positive Multi-Attribute Utility Programming," Omega, Elsevier, vol. 65(C), pages 17-27.
    10. Pham, Huong Dien & Waibel, Hermann, 2018. "Risk attitudes, knowledge, skills and agricultural productivity," TVSEP Working Papers wp-007, Leibniz Universitaet Hannover, Institute of Development and Agricultural Economics, Project TVSEP.
    11. Nuthall, Peter, 2009. "Modelling the origins of managerial ability in agricultural production," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(3), pages 1-24.
    12. François Rebaudo & Olivier Dangles, 2011. "Coupled Information Diffusion–Pest Dynamics Models Predict Delayed Benefits of Farmer Cooperation in Pest Management Programs," PLOS Computational Biology, Public Library of Science, vol. 7(10), pages 1-10, October.
    13. Daneluz, Marina & Canever, Mario Duarte & Lima, Helenice González de & Bermudes, Rogerio Folha & Menezes, Gabrielito Rauter, 2022. "Linking entrepreneurial orientation and managerial capacity to performance in dairy farms," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 60(3), January.
    14. Arora, Poonam & Bert, Federico & Podesta, Guillermo & Krantz, David H., 2015. "Ownership effect in the wild: Influence of land ownership on agribusiness goals and decisions in the Argentine Pampas," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 58(C), pages 162-170.

  4. Koop, Gary & Tole, Lise, 2004. "Measuring the health effects of air pollution: to what extent can we really say that people are dying from bad air?," Journal of Environmental Economics and Management, Elsevier, vol. 47(1), pages 30-54, January.

    Cited by:

    1. X. Pautrel, 2008. "Reconsidering the Impact of the Environment on Long-run Growth when Pollution Influences Health and Agents have a Finite-lifetime," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 40(1), pages 37-52, May.
    2. Louis Anthony (Tony) Cox, 2012. "Reassessing the Human Health Benefits from Cleaner Air," Risk Analysis, John Wiley & Sons, vol. 32(5), pages 816-829, May.
    3. Chi Wang & Giovanni Parmigiani & Francesca Dominici, 2012. "Bayesian Effect Estimation Accounting for Adjustment Uncertainty," Biometrics, The International Biometric Society, vol. 68(3), pages 661-671, September.
    4. Abidoye, Babatunde Oluwakayode, 2010. "Bayesian inference in modeling recreation demand," ISU General Staff Papers 201001010800002496, Iowa State University, Department of Economics.
    5. Huigang Chen & Mr. Alin T Mirestean & Mr. Charalambos G Tsangarides, 2011. "Limited Information Bayesian Model Averaging for Dynamic Panels with An Application to a Trade Gravity Model," IMF Working Papers 2011/230, International Monetary Fund.
    6. Goenka, A. & Jafarey, S. & Pouliot, W., 2012. "Pollution, mortality and optimal environmental policy," Working Papers 12/07, Department of Economics, City University London.
    7. Negri­n, Miguel A. & Vázquez-Polo, Francisco-José, 2008. "Incorporating model uncertainty in cost-effectiveness analysis: A Bayesian model averaging approach," Journal of Health Economics, Elsevier, vol. 27(5), pages 1250-1259, September.
    8. Moeltner, K. & Kim, M.-K. & Zhu, E. & Yang, W., 2013. "Wildfire smoke and health impacts: A closer look at fire attributes and their marginal effects," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 476-496.
    9. Roberto Leon-Gonzalez & Daniel Montolio, 2012. "Endogeneity and Panel Data in Growth Regressions: A Bayesian Model Averaging Approach," GRIPS Discussion Papers 12-08, National Graduate Institute for Policy Studies.
    10. Roberto Leon-Gonzalez & Thanabalasingam Vinayagathasan, 2015. "Robust Determinants of Growth in Asian Developing Economies: A Bayesian Panel Data Model Averaging Approach," GRIPS Discussion Papers 15-15, National Graduate Institute for Policy Studies.
    11. Louis Anthony (Tony) Cox, 2012. "Miscommunicating Risk, Uncertainty, and Causation: Fine Particulate Air Pollution and Mortality Risk as an Example," Risk Analysis, John Wiley & Sons, vol. 32(5), pages 765-767, May.
    12. Jorge Araña & Carmelo León, 2007. "Repeated Dichotomous Choice Formats for Elicitation of Willingness to Pay: Simultaneous Estimation and Anchoring Effect," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(4), pages 475-497, April.
    13. David Meintrup & Chang Woon Nam, 2009. "Shadow Market Area for Air Pollutants," Environment and Planning B, , vol. 36(4), pages 664-681, August.
    14. Babatunde Abidoye & Joseph Herriges, 2012. "Model Uncertainty in Characterizing Recreation Demand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(2), pages 251-277, October.
    15. Louis Anthony (Tony) Cox, 2012. "Confronting Deep Uncertainties in Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 32(10), pages 1607-1629, October.
    16. Melián-González, Arturo & Moreno-Gil, Sergio & Araña, Jorge E., 2011. "Gay tourism in a sun and beach destination," Tourism Management, Elsevier, vol. 32(5), pages 1027-1037.
    17. Maddison, David, 2006. "Dose response functions and the harvesting effect," Resource and Energy Economics, Elsevier, vol. 28(4), pages 313-332, November.
    18. Judson Jaffe & Robert N. Stavins, 2007. "On the value of formal assessment of uncertainty in regulatory analysis," Regulation & Governance, John Wiley & Sons, vol. 1(2), pages 154-171, June.
    19. Mr. Alin T Mirestean & Mr. Charalambos G Tsangarides & Huigang Chen, 2009. "Limited Information Bayesian Model Averaging for Dynamic Panels with Short Time Periods," IMF Working Papers 2009/074, International Monetary Fund.
    20. Neal Fann & Amy D. Lamson & Susan C. Anenberg & Karen Wesson & David Risley & Bryan J. Hubbell, 2012. "Response to Cox Letter: “Miscommunicating Risk, Uncertainty, and Causation: Fine Particulate Air Pollution and Mortality Risk as an Example”," Risk Analysis, John Wiley & Sons, vol. 32(5), pages 768-770, May.
    21. Bangzhu Zhu & Runzhi Pang & Julien Chevallier & Yi-Ming Wei & Dinh-Tri Vo, 2019. "Including intangible costs into the cost-of-illness approach: a method refinement illustrated based on the PM2.5 economic burden in China," Working Papers 2019-010, Department of Research, Ipag Business School.

  5. Koop, Gary & Tole, Lise, 1999. "Is there an environmental Kuznets curve for deforestation?," Journal of Development Economics, Elsevier, vol. 58(1), pages 231-244, February.

    Cited by:

    1. Margrethe Winslow, 2005. "The environmental Kuznets curve revisited once again," Forum for Social Economics, Springer;The Association for Social Economics, vol. 35(1), pages 1-18, March.
    2. Dinda, Soumyananda & Coondoo, Dipankor & Pal, Manoranjan, 2000. "Air quality and economic growth: an empirical study," Ecological Economics, Elsevier, vol. 34(3), pages 409-423, September.
    3. Vallino, Elena & Aldahsev,Gani, 2013. "NGOs and participatory conservation in developing countries: why are there inefficiencies?," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201318, University of Turin.
    4. Azomahou, Theophile & Mishra, Tapas, 2009. "Stochastic environmental effects, demographic variation, and economic growth," MERIT Working Papers 2009-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Copeland,B.R. & Scott Taylor,M., 2003. "Trade, growth and the environment," Working papers 10, Wisconsin Madison - Social Systems.
    6. Culas, Richard J., 2007. "Deforestation and the environmental Kuznets curve: An institutional perspective," Ecological Economics, Elsevier, vol. 61(2-3), pages 429-437, March.
    7. Edward B. Barbier, 2003. "The Role of Natural Resources in Economic Development," Australian Economic Papers, Wiley Blackwell, vol. 42(2), pages 253-272, June.
    8. Phu NGUYEN VAN, 2003. "A semiparametric analysis of determinants of protected area," Working Papers of BETA 2003-03, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    9. Xie, Mingting & Irfan, Muhammad & Razzaq, Asif & Dagar, Vishal, 2022. "Forest and mineral volatility and economic performance: Evidence from frequency domain causality approach for global data," Resources Policy, Elsevier, vol. 76(C).
    10. Minetos, Dionysios & Polyzos, Serafeim, 2010. "Deforestation processes in Greece: A spatial analysis by using an ordinal regression model," Forest Policy and Economics, Elsevier, vol. 12(6), pages 457-472, July.
    11. Awaworyi Churchill, Sefa & Inekwe, John & Ivanovski, Kris & Smyth, Russell, 2020. "The Environmental Kuznets Curve across Australian states and territories," Energy Economics, Elsevier, vol. 90(C).
    12. Lenzen, Manfred & Wier, Mette & Cohen, Claude & Hayami, Hitoshi & Pachauri, Shonali & Schaeffer, Roberto, 2006. "A comparative multivariate analysis of household energy requirements in Australia, Brazil, Denmark, India and Japan," Energy, Elsevier, vol. 31(2), pages 181-207.
    13. Johanna Choumert & Pascale Combes Motel & K. Hervé Dakpo, 2013. "Is the environmental Kuznets curve for deforestation a threatened theory ? A meta-analysis of the literature," Post-Print hal-02652346, HAL.
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