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Lise Tole

Citations

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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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    6. 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).
    7. 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).
    8. 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.
    9. 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.
    10. Jonathan Berrisch & Florian Ziel, 2021. "CRPS Learning," Papers 2102.00968, arXiv.org, revised Nov 2021.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Konstantinos Bisiotis & Dimitris Christopoulos & George Tzougas, 2026. "Forecasting Carbon Prices: A Literature Review," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 45(2), pages 496-529, March.
    16. 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.
    17. Weibao Sun & Yafang Gao & Xuemei Yang & Yalong Zhang & Haolin Hu, 2025. "Carbon Price Forecasting and Market Characteristics Analysis in China: An Integrated Approach Using Overall and Market-Specific Models," Sustainability, MDPI, vol. 17(12), pages 1-25, June.
    18. 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.
    19. 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.
    20. Chong Zhang & Zhiying Feng, 2024. "Carbon emissions trading price forecasts by multi-perspective fusion," Economic Analysis Letters, Anser Press, vol. 3(2), pages 13-25, June.
    21. 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).
    22. Andrea Bastianin & Elisabetta Mirto & Yan Qin & Luca Rossini, 2024. "What drives the European carbon market? Macroeconomic factors and forecasts," Papers 2402.04828, arXiv.org, revised Feb 2024.
    23. Giulio Cainelli & Massimiliano Mazzanti, 2012. "Environmental Innovations in Services. Manufacturing-Services Integration and Policy Transmissions," Working Papers 201208, University of Ferrara, Department of Economics.
    24. 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.
    25. Liu, Li & Wang, Yudong & Yang, Li, 2018. "Predictability of crude oil prices: An investor perspective," Energy Economics, Elsevier, vol. 75(C), pages 193-205.
    26. 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.
    27. Wang, Minggang & Zhu, Mengrui & Tian, Lixin, 2022. "A novel framework for carbon price forecasting with uncertainties," Energy Economics, Elsevier, vol. 112(C).
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. Zhu, Bangzhu & Wan, Chunzhuo & Wang, Ping, 2022. "Interval forecasting of carbon price: A novel multiscale ensemble forecasting approach," Energy Economics, Elsevier, vol. 115(C).
    35. 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.
    36. Fields, Micah & Lindequist, David, 2024. "Global spillovers of US climate policy risk: Evidence from EU carbon emissions futures," Energy Economics, Elsevier, vol. 139(C).
    37. 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.
    38. 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.
    39. Ren, Xiaohang & Duan, Kun & Tao, Lizhu & Shi, Yukun & Yan, Cheng, 2022. "Carbon prices forecasting in quantiles," Energy Economics, Elsevier, vol. 108(C).
    40. Giorgos Kotsompolis & Panagiotis Cheilas & Konstantinos N. Konstantakis & Evangelos Sfakianakis & Stephane Goutte & Panayotis G. Michaelides, 2026. "Smart Forecasting of Carbon Prices Using Machine Learning and Neural Networks: When ARIMA Meets XGBoost and LSTM," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 45(1), pages 47-60, January.
    41. Haoyu Chen & Qunli Wu & Chonghao Han, 2025. "Carbon Price Point and Interval-Valued Prediction Based on a Novel Hybrid Model," Energies, MDPI, vol. 18(5), pages 1-31, February.
    42. 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.
    43. 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.
    44. Zhu, Mengrui & Xu, Hua & Wang, Minggang & Tian, Lixin, 2024. "Carbon price interval prediction method based on probability density recurrence network and interval multi-layer perceptron," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 636(C).
    45. Guérin, Pierre & Leiva-Leon, Danilo, 2014. "Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data," MPRA Paper 59361, University Library of Munich, Germany.
    46. Berrisch, Jonathan & Ziel, Florian, 2023. "CRPS learning," Journal of Econometrics, Elsevier, vol. 237(2).
    47. Zhang, Zhikai & Wang, Yudong & Zhang, Yaojie & Wang, Qunwei, 2024. "Forecasting carbon prices under diversified attention: A dynamic model averaging approach with common factors," Energy Economics, Elsevier, vol. 133(C).
    48. Jesús Molina‐Muñoz & Andrés Mora‐Valencia & Javier Perote, 2024. "Predicting carbon and oil price returns using hybrid models based on machine and deep learning," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 31(2), June.
    49. 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.
    50. Krzysztof Drachal, 2018. "Some Novel Bayesian Model Combination Schemes: An Application to Commodities Prices," Sustainability, MDPI, vol. 10(8), pages 1-27, August.
    51. 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.

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. 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.
    2. Jingbo Cui & GianCarlo Moschini, 2018. "Firm Internal Network, Environmental Regulation, and Plant Death," Center for Agricultural and Rural Development (CARD) Publications 18-wp585, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Lauren Veckranges, 2023. "Estimating the impact of large-scale mining on local communities in sub-Saharan Africa," Development Southern Africa, Taylor & Francis Journals, vol. 40(5), pages 1067-1085, September.
    8. 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.
    9. Bothner, Jonathan, 2024. "Institutions as a determinant of FDI and the role of natural resources," Resources Policy, Elsevier, vol. 99(C).
    10. 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.
    11. 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).
    12. 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).
    13. 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.
    14. 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).
    15. 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).
    16. 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.
    17. Patrik Söderholm & Magnus Ericsson & Frida Hellman, 2024. "The perils of ranking mining countries and regions: a critical look at the annual survey of the Fraser Institute," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 37(2), pages 313-330, June.
    18. 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.
    19. 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.
    20. Laing, Timothy, 2015. "Rights to the forest, REDD+ and elections: mining in Guyana," LSE Research Online Documents on Economics 64186, London School of Economics and Political Science, LSE Library.
    21. Liu, Chelsea, 2018. "Are women greener? Corporate gender diversity and environmental violations," Journal of Corporate Finance, Elsevier, vol. 52(C), pages 118-142.
    22. Liang, Wenjing & Yu, Weihua & Yao, Xin, 2025. "Liberalization of upstream productive services and green innovation in downstream manufacturing firms: Evidence from China," Energy Economics, Elsevier, vol. 142(C).
    23. 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.

  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. Shahbaz, Muhammad, 2013. "Does financial instability increase environmental degradation? Fresh evidence from Pakistan," Economic Modelling, Elsevier, vol. 33(C), pages 537-544.
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. José-Antonio Monteiro & Madina Kukenova, 2008. "Does Lax Environmental Regulation Attract FDI When Accounting For "Third-Country" Effects?," IRENE Working Papers 08-01, IRENE Institute of Economic Research.

  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. 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).
    2. 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.
    3. 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.
    4. Loic Levi & Laure Latruffe & Aude Ridier, 2019. "Farm performance and investment decisions: evidence from the French (Brittany) dairy sector," Working Papers hal-02077531, HAL.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Pham, Huong Dien & Waibel, Hermann, 2018. "Risk attitudes, knowledge, skills and agricultural productivity," TVSEP Working Papers wp-007, Leibniz Universitaet Hannover, Institute for Environmental Economics and World Trade, Project TVSEP.
    12. 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.
    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.
    15. Yiorgos Gadanakis & Jorge Campos-González & Philip Jones, 2024. "Linking Entrepreneurship to Productivity: Using a Composite Indicator for Farm-Level Innovation in UK Agriculture with Secondary Data," Agriculture, MDPI, vol. 14(3), pages 1-23, March.
    16. R. Rekha & K. Maruthamuthu, 2024. "What Factors Drive Consumer Preference of Dairy Products with Education as Moderator? An Empirical Approach," International Review of Management and Marketing, International Review of Management and Marketing, vol. 14(4), pages 161-168, July.

  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. 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.
    2. 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.
    3. 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.
    4. Aliaksandr Amialchuk & Onur Sapci, 2025. "The Effect of Long-Term Exposure to O 3 and PM 2.5 on Allergies and Asthma in Adolescents and Young Adults," IJERPH, MDPI, vol. 22(8), pages 1-12, August.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. David Meintrup & Chang Woon Nam, 2009. "Shadow Market Area for Air Pollutants," Environment and Planning B, , vol. 36(4), pages 664-681, August.
    10. 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.
    11. Pautrel, Xavier, 2006. "Reconsidering The Impact of Environment on Long-Run Growth When Pollution Influences Health and Agents Have Finite-Lifetime," Climate Change Modelling and Policy Working Papers 12027, Fondazione Eni Enrico Mattei (FEEM).
    12. 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.
    13. 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.
    14. 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.
    15. Leihua Dong & Lihua Xiong & Kun-xia Yu, 2013. "Uncertainty Analysis of Multiple Hydrologic Models Using the Bayesian Model Averaging Method," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    16. Aditya Goenka & Saqib Jafarey & William Pouliot, 2012. "Pollution, Mortality and Optimal Environmental Policy," Discussion Papers 12-05, Department of Economics, University of Birmingham.
    17. 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.
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    Cited by:

    1. David López-Carr, 2021. "A Review of Small Farmer Land Use and Deforestation in Tropical Forest Frontiers: Implications for Conservation and Sustainable Livelihoods," Land, MDPI, vol. 10(11), pages 1-23, October.
    2. Cerian Gibbes & Allison L. Hopkins & Armando Inurreta Díaz & Juan Jimenez-Osornio, 2020. "Defining and measuring sustainability: a systematic review of studies in rural Latin America and the Caribbean," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(1), pages 447-468, January.
    3. Nora L. Álvarez-Berríos & Daniel J. Redo & T. Mitchell Aide & Matthew L. Clark & Ricardo Grau, 2013. "Land Change in the Greater Antilles between 2001 and 2010," Land, MDPI, vol. 2(2), pages 1-27, March.

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