The influence of financial and technological structure on eco-efficiency: an application of DDF bootstrapped framework in the Italian polluting industries

IF 0.4 Q4 ECONOMICS

International Journal of Computational Economics and Econometrics Pub Date : 2023-01-01 DOI:10.1504/ijcee.2023.127290

Greta Falavigna, Alessandro Manello

{"title":"The influence of financial and technological structure on eco-efficiency: an application of DDF bootstrapped framework in the Italian polluting industries","authors":"Greta Falavigna, Alessandro Manello","doi":"10.1504/ijcee.2023.127290","DOIUrl":null,"url":null,"abstract":"In this paper, we estimate environmental corrected efficiency scores for a large sample of Italian firms operating in four different polluting industrial sectors subjected to the same European normative framework. Merging economic and emission data coming from reliable public sources, we measure overall performances through the non-parametric directional distance function and in order to improve the robustness of the results, we perform an extension of the bootstrap proposed for standard efficiency scores. Results are analysed through a truncated regression after testing for the validity of separability condition between input-output space and explanatory variables as well as in light of industrial specificity. Results show that both the financial structure and the technological status of the firms have a significant explanatory power in relation to environmental corrected efficiency scores. Policymakers should carefully consider both aspects as important issues for supporting sustainable practices.","PeriodicalId":42342,"journal":{"name":"International Journal of Computational Economics and Econometrics","volume":"12 1","pages":"0"},"PeriodicalIF":0.4000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computational Economics and Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijcee.2023.127290","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}

引用次数: 1

Abstract

In this paper, we estimate environmental corrected efficiency scores for a large sample of Italian firms operating in four different polluting industrial sectors subjected to the same European normative framework. Merging economic and emission data coming from reliable public sources, we measure overall performances through the non-parametric directional distance function and in order to improve the robustness of the results, we perform an extension of the bootstrap proposed for standard efficiency scores. Results are analysed through a truncated regression after testing for the validity of separability condition between input-output space and explanatory variables as well as in light of industrial specificity. Results show that both the financial structure and the technological status of the firms have a significant explanatory power in relation to environmental corrected efficiency scores. Policymakers should carefully consider both aspects as important issues for supporting sustainable practices.

查看原文本刊更多论文

资金和技术结构对生态效率的影响:DDF自举框架在意大利污染工业中的应用

在本文中，我们估计了在相同的欧洲规范框架下，在四个不同的污染工业部门运营的意大利公司的大样本的环境修正效率得分。结合来自可靠公共来源的经济和排放数据，我们通过非参数定向距离函数来衡量整体绩效，为了提高结果的鲁棒性，我们对标准效率分数提出的自举法进行了扩展。在检验了投入产出空间与解释变量之间可分性条件的有效性以及考虑行业特殊性后，通过截断回归对结果进行了分析。结果表明，企业的财务结构和技术地位对环境修正效率得分具有显著的解释力。政策制定者应该仔细考虑这两个方面作为支持可持续实践的重要问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Computational Economics and Econometrics ECONOMICS-

CiteScore

0.60

自引率

0.00%

发文量

期刊介绍： IJCEE explores the intersection of economics, econometrics and computation. It investigates the application of recent computational techniques to all branches of economic modelling, both theoretical and empirical. IJCEE aims at an international and multidisciplinary standing, promoting rigorous quantitative examination of relevant economic issues and policy analyses. The journal''s research areas include computational economic modelling, computational econometrics and statistics and simulation methods. It is an internationally competitive, peer-reviewed journal dedicated to stimulating discussion at the forefront of economic and econometric research. Topics covered include: -Computational Economics: Computational techniques applied to economic problems and policies, Agent-based modelling, Control and game theory, General equilibrium models, Optimisation methods, Economic dynamics, Software development and implementation, -Econometrics: Applied micro and macro econometrics, Monte Carlo simulation, Robustness and sensitivity analysis, Bayesian econometrics, Time series analysis and forecasting techniques, Operational research methods with applications to economics, Software development and implementation.