Análise estatística para o relatório financeiro do fluxo de energia / receita nas pequenas e médias indústrias iranianas
DOI:
https://doi.org/10.5935/jetia.v7i28.744Resumo
O plano de Avaliação de Impacto Ambiental (EIA) é uma parte indispensável de todos os ciclos de projetos industriais. A propósito, resulta a compor a matriz inicial de dados na avaliação preliminar da etapa de triagem. Os projetos industriais iranianos reconheceram fluxos de materiais diversos introduzidos no ambiente industrial e em formas liberadas. Uma das avaliações importantes apresentadas no plano de EIA refere-se à avaliação de custos / receitas que atribui a Análise Envoltória de Dados (DEA) para descobrir o desempenho de projetos industriais junto com testes estatísticos. O objetivo do presente estudo buscou discernir a análise de custo / receita em linguagem estatística. Portanto, as equações empíricas e o Software SPSS da IBM 20 foram empregados na análise de relatórios financeiros. Os achados tiveram sucesso em apresentar relações lineares para as variáveis dependentes e independentes e em total conformidade com os diagramas desenvolvidos pelo software SPSS. Os resultados do modelo DEA acabaram com o surgimento de uma fronteira de eficiência para 8 grupos industriais (334 indústrias) em torno de uma faixa de 0 a 0,4 por gráfico de dispersão. Não houve diferenças significativas entre as variáveis dependentes e independentes nos diferentes modelos avaliados pelos testes T e F e ANOVA. Pode-se concluir que os resultados do modelo DEA exibidos pelo gráfico de dispersão são um nível de benchmarking para projetos industriais uma vez antes da construção completa.
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Referências
Eisinga, R, Heskes, T., Pelzer, B., Grotenhuis, M. Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers. BMC Bioinformatics. 2017, 18, 68, 2-18. DOI 10.1186/s12859-017-1486-2.
Rezaee, M.J., and Ghanbarpour, T. Energy Resources Consumption Performance in Iranian Manufacturing Industries Using Cost/Revenue Efficiency Model, IJE Transactions C: Aspects, 2016, 29(9), 1282-1291. Doi: 10.5829/idosi.ije.2016.29.09c.14.
Al-Bdour JM. Jordan small and medium scale industries 2000-2010: periodical evaluation. European Scientific Journal. 2013, 9(7), 300-311.
Kazan H, Ertok M, Ciftci C. Application of a Hybrid Method in the Financial Analysis of Firm Performance. Procedia - Social and Behavioral Sciences 195 (2015) 403 – 412. Doi: 10.1016/j.sbspro.2015.06.482.
Lohani BN, JW Evans, RR Everitt, H Ludwig, Richard AC, Shih-Liang TU. Environmental Impact Assessment for Developing Countries in Asia. Asian Development Bank. Volume 1 - Overview.1997; 1-356.
Munn, RE, Environmental Impact Assessment, Principles and Procedures. Scope 5. John Wiley and Sons, New York. 1979.
Barry S. EIA process strengthening - perspective and priorities. Pages 1-29 in Report of the EIA Process Strengthening Workshop, Canberra 4-7 April, 1995. Published by the Environmental Protection Agency, Canberra, Australia for the International Study of the Effectiveness of Environmental Assessment, 1997.
Sonntag NC, Everitt RR, Rattie L, Colnett DL, Wolf CP, Truett J, Dorcey A, Holling CS. Cumulative Effects Assessment: A Context for Further Research and Development. Canadian Environmental Assessment Research Council (CEARC), Hull, QC. 99 pp. and appendices, 1986.
Cooper ww, Seiford LM, Tone K. Data Envelopment Analysis. Second edition. Springer Science-i-Business Media, LLC, 233 Spring Street, New York, NY 10013, USA. 2007, 1-512.
Emrouznejad A, Podinovski V. Data Envelopment Analysis and Performance Management: Proceedings of the 4th International Conference on DEA, September 2004, Birmingham, UK, 417pp, ISBN: 0 902683 73 X. 2004.
Rodríguez-Pérez G, Slof J, Sola M, Torrent M, Vilardell I. Assessing the Impact of Fair-Value Accounting on Financial Statement Analysis: A Data Envelopment Analysis Approach. Abacus, 47, (1), 2011, 61-84. Doi: 10.1111/j.1467-6281.2011.00331.x.
Shahroudi SM. Estimation of small-scale industries production functions. International Journal of Economics and Business Modeling. 2011; 2(2): 139-141.
Hourali M, Fathian M, Montazeri A, et al. A Model for E-Readiness Assessment of Iranian Small and Medium Enterprises. Journal of Faculty of Engineering. 2008; 41(7): 969-985.
Madhoushi M, Nasiri A. The Influence of Industry Characteristics on New Firms' Survival: Iranian Study. Australian Journal of Basic and Applied Sciences, 5(3): 653-661, 2011.
Bjorndal E, Bjorndal M, Camanho A. Weight Restrictions on Geography Variables in the DEA Benchmarking Model for Norwegian Electricity Distribution Companies. Thesis report. University of Porto, 2008. http://hdl.handle.net/11250/165047.
Waddock SA, Graves SB. The corporate social performance– financial performance link. Strategic Management Journal, Vol. 18:4, 303–319 (1997).
Kumar S, Gulati R. Technical efficiency and its determinants in the Indian domestic banking industry: an application of DEA and Tobit analysis. American J. Finance and Accounting. 2009, 1(3), 256-296.
Svensson F, Aniceto N, Norinder U, Cortes-Ciriano I, Spjuth O, Carlsson L, Bender A. Conformal Regression for QSAR Modelling – Quantifying Prediction Uncertainty. J. Chem. Inf. Model. 2018, 58, 5, 1132–1140. https://doi.org/10.1021/acs.jcim.8b00054
Valaskova K, Kliestik T, Svabova L, Adamko P. Financial Risk Measurement and Prediction Modelling for Sustainable Development of Business Entities Using Regression Analysis. Sustainability 2018, 10, 2144; doi: 10.3390/su10072144.
Saranga H, Nagpal R. Drivers of operational efficiency and its impact on market performance in the Indian Airline industry. Journal of Air Transport Management 53 (2016) 165-176. http://dx.doi.org/10.1016/j.jairtraman.2016.03.001.
Salman A, Nawaz H. Islamic financial system and conventional banking: A comparison. Arab economic and business journal. l13 (2018) 155 – 167. http://dx.doi.org/10.1016/j.aebj.2018.09.003
Rehman MA, Seth D, Shrivastava RL. Impact of green manufacturing practices on organizational performance in Indian context: An empirical study. Journal of Cleaner Production 137 (2016) 427-448. http://dx.doi.org/10.1016/j.jclepro.2016.07.106.
Lin WC, Liu CF, Chu CW. Performance efficiency evaluation of the Taiwan's shipping industry: an application of data envelopment analysis. Proceedings of the Eastern Asia Society for Transportation Studies. 5, 467 - 476, 2005.
Pradhan JP, Singh N. Outward FDI and knowledge flows a study of the Indian automotive sector. ISID working paper 2008/10. Institute for Studies in Industrial Development 4, Institutional Area, Vasant Kunj, New Delhi - 110 070
Hiran S. Financial Performance Analysis of Indian Companies Belongs to Automobile Industry with Special Reference to Liquidity & Leverage. International Journal of Multidisciplinary and Current Research. Int. J. of Multidisciplinary and Current research. 4, 2016, 39-51.
Fetscherin M, Alon I, Jhonson JP. Export competitiveness patterns in Indian industries. International Business Journal. 22(3), 2012, 188-206. DOI 10.1108/10595421211229637
Salehi M, Hematfar M. Comparing linear and non-linear relationships between accounting variables and dividend: Evidence of Iranian chemical industries. African Journal of Business Management. 2012, 6(6), 2143-2151. DOI: 10.5897/AJBM11.2484.








