Relationship between Productivity and Efficiency with Sustainable Development Goals: The Case of the Manufacturing Industry in Pichincha, Ecuador

J. Ibujés-Villacís, Antonio Franco-Crespo
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Abstract

In 2015, at the United Nations forum, the 17 Sustainable Development Goals (SDGs) were approved to be met by 2030. This research aims to know what has been the behavior of productivity and efficiency of the manufacturing industry in the province of Pichincha, Ecuador, and the relationship with the achievement of some goals of the SDG 8, 9 and 12. The research methodology has a quantitative, non-experimental, and longitudinal approach. The information from the economic and financial reports of the manufacturing companies between 2010 and 2018 was processed. The values of efficiency were estimated using the data enveloping analysis technique. With the annual information, the evolution of productivity and efficiency was predicted until 2022. In the nine years, the results show that the productivity indicators and the number of companies that are related to goals 8.2 and 8.3 depend on the size of the companies and would maintain a constant trend until 2022. In addition, in the same period, it was shown that efficiency has had variations, and its trend is to remain constant until 2022, which shows that there will be no progress in meeting the targets 9.4, and 12.2 of the SDGs for this industrial sector.
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生产率、效率与可持续发展目标的关系——以厄瓜多尔皮钦查制造业为例
2015年,在联合国论坛上,17个可持续发展目标被批准在2030年前实现。本研究旨在了解厄瓜多尔皮钦查省制造业的生产力和效率行为,以及与实现可持续发展目标8、9和12的一些目标的关系。研究方法采用定量、非实验和纵向方法。对2010年至2018年间制造业公司的经济和财务报告中的信息进行了处理。使用数据包络分析技术来估计效率值。根据年度信息,生产力和效率的演变被预测到2022年。在九年中,结果显示,与目标8.2和8.3相关的生产力指标和公司数量取决于公司的规模,并将保持不变的趋势,直到2022年。此外,在同一时期,效率有变化,其趋势是在2022年之前保持不变,这表明在实现该工业部门可持续发展目标的目标9.4和12.2方面不会取得进展。
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来源期刊
Revista de Metodos Cuantitativos para la Economia y la Empresa
Revista de Metodos Cuantitativos para la Economia y la Empresa Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
0.80
自引率
0.00%
发文量
26
审稿时长
15 weeks
期刊介绍: The Journal of Quantitative Methods for Economics and Business Administration wants to be a useful mean of communication for all those who research on mathematical, statistical or econometrical techniques and their possible applications in the world of business and economy. It is edited by a group of professors in the Department of Economics, Quantitative Methods and Economic History Department at Pablo de Olavide University in Seville ( Spain ).
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