The Estimation of a Polluting By-Production Technology Using Statistical Copulas

被引:3
|
作者
Repkine, Alexandre [1 ]
机构
[1] Coll Social Sci, Econ Dept, 634-120 Neungdongro, Seoul 143701, South Korea
关键词
Environmental pollution; By-production framework; Statistical copulas; OUTPUTS;
D O I
10.1007/s11123-023-00672-5
中图分类号
F [经济];
学科分类号
02 ;
摘要
We estimate the parameters of a two-equation by-production technology defined as an intersection of two sub-technologies producing one good, and two polluting outputs using a sample of 130 countries for the period between 2000 and 2011. We use Frank, Farlie-Gumbel-Morgenstern, and Ali-Mikhail-Haq copulas in order to account for stochastic dependence between technical inefficiency components of the composite error terms characterizing the two sub-technologies. Our empirical results suggest a positive stochastic association between the technical inefficiency of producing a good output, or GDP, and that of producing carbon dioxide and methane. Introducing copulas results in significant changes in the values of the estimated parameters of the by-production technology.
引用
收藏
页码:49 / 62
页数:14
相关论文
共 50 条
  • [21] Numerical estimation of water polluting points using neural networks
    Hiramatsu, K
    Kawachi, T
    Kurimoto, H
    Abul, FMD
    Fukatsu, M
    HYDRODYNAMICS: THEORY AND APPLICATIONS, VOLS 1 AND 2, 1996, : 1069 - 1074
  • [22] Semiparametric estimation of the error distribution in multivariate regression using copulas
    Kim, Gunky
    Silvapulle, Mervyn J.
    Silvapulle, Paramsothy
    AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, 2007, 49 (03) : 321 - 336
  • [23] Estimation and Prediction of Record Values Using Pivotal Quantities and Copulas
    Lee, Jeongwook
    Song, Joon Jin
    Kim, Yongku
    Seo, Jung In
    MATHEMATICS, 2020, 8 (10) : 1 - 16
  • [24] Estimation of large dimensional time varying VARs using copulas
    Tsionas, Mike G.
    Izzeldin, Marwan
    Trapani, Lorenzo
    EUROPEAN ECONOMIC REVIEW, 2022, 141
  • [25] Estimation of Test Metrics for AMS/RF BIST Using Copulas
    Bounceur, Ahcene
    Mir, Salvador
    2008 IEEE 14TH INTERNATIONAL MIXED-SIGNALS, SENSORS, AND SYSTEMS TEST WORKSHOP, 2008, : 109 - 114
  • [26] Semiparametric multivariate density estimation for positive data using copulas
    Bouezmarni, T.
    Rombouts, J. V. K.
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2009, 53 (06) : 2040 - 2054
  • [27] Modelling High Dimensional Paddy Production Data using Copulas
    Roslan, Nuranisyha Mohd
    Shinyie, Wendy Ling
    Ling, Sim Siew
    PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY, 2021, 29 (01): : 263 - 284
  • [28] Banks' efficiency and credit risk analysis using by-production approach: the case of Iranian banks
    Salim, Ruhul
    Arjomandi, Amir
    Dakpo, K. Herve
    APPLIED ECONOMICS, 2017, 49 (30) : 2974 - 2988
  • [29] Technical and environmental inefficiency measurement in agriculture using a flexible by-production stochastic frontier model
    Skevas, Ioannis
    JOURNAL OF AGRICULTURAL ECONOMICS, 2024,
  • [30] Measuring environmental inefficiency through machine learning: An approach based on efficiency analysis trees and by-production technology
    Guillen, Maria D.
    Aparicio, Juan
    Kapelko, Magdalena
    Esteve, Miriam
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2025, 321 (02) : 529 - 542