Bibliographic citations
Gambini, D., (2022). Factores que determinan la continuidad de las empresas exportadoras de confecciones de punto del Perú en el 2018 [Tesis, Universidad Nacional de Ingeniería]. http://hdl.handle.net/20.500.14076/22770
Gambini, D., Factores que determinan la continuidad de las empresas exportadoras de confecciones de punto del Perú en el 2018 [Tesis]. PE: Universidad Nacional de Ingeniería; 2022. http://hdl.handle.net/20.500.14076/22770
@misc{renati/712137,
title = "Factores que determinan la continuidad de las empresas exportadoras de confecciones de punto del Perú en el 2018",
author = "Gambini Marquez, Danny Anderson",
publisher = "Universidad Nacional de Ingeniería",
year = "2022"
}
The textile sector is one of the most dynamic industries in our country and since its opening to the international market it has obtained recognition for the good quality of its products. Thanks to the different free trade agreements, the textile industry had a great boost, generating foreign exchange for more than US $ 1,230 million in annual average, however; It has been observed that in recent years, 30% of textile companies that served the foreign market stopped their export activities, mostly micro exporters, at the same time that new exporting companies entered the same category, the same ones that do not have previous export experience, increasing the probability that they will close in the short term. That is why the purpose of the investigation is to prove that the previous export experience, the micro-exporter size, the financial health and the assistance from Promperú have an effect on the export continuity of the Peruvian knitting company in 2018 In addition, it is intended that the model has an adequate level of adjustment and a high predictive power so that its use is recommended in public or private institutions. Using the contrast of the specific hypotheses, it is shown that the variables to be studied are significant and have effects on the continuity of an exporting company. The variable that has the greatest positive effect is the assistance from Promperú and the one with the greatest negative effect is the micro-exporter size. It is possible to prove that the model has an adequate level of fit and that it has a predictive power of 75.0%. In Chapter 7 you can see the coefficients of each variable, which can be used to predict the continuity of the textile sector company, in other years.
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