Assessing the impact of the covid-19 pandemic on the colombian industrial sector: a multivariate time series analysis
The Coronavirus Disease 2019 (COVID-19) pandemic has had a severe impact on the global economy, and Latin America and the Caribbean were no exceptions. Colombia faced unprecedented economic and public health crises, leading to a significant reduction in its gross domestic product (GDP) and exportati...
- Autores:
-
Portnoy, Ivan
Manosalva-Sandoval, Jessica
Picalua, Bianca
Torregroza-Espinosa, Ana C.
Romero-Espinosa, Diana
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2023
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/13605
- Acceso en línea:
- https://hdl.handle.net/11323/13605
https://repositorio.cuc.edu.co/
- Palabra clave:
- Pandemic
Industrial production index
Time series
Multivariate analysis
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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Assessing the impact of the covid-19 pandemic on the colombian industrial sector: a multivariate time series analysis |
| title |
Assessing the impact of the covid-19 pandemic on the colombian industrial sector: a multivariate time series analysis |
| spellingShingle |
Assessing the impact of the covid-19 pandemic on the colombian industrial sector: a multivariate time series analysis Pandemic Industrial production index Time series Multivariate analysis |
| title_short |
Assessing the impact of the covid-19 pandemic on the colombian industrial sector: a multivariate time series analysis |
| title_full |
Assessing the impact of the covid-19 pandemic on the colombian industrial sector: a multivariate time series analysis |
| title_fullStr |
Assessing the impact of the covid-19 pandemic on the colombian industrial sector: a multivariate time series analysis |
| title_full_unstemmed |
Assessing the impact of the covid-19 pandemic on the colombian industrial sector: a multivariate time series analysis |
| title_sort |
Assessing the impact of the covid-19 pandemic on the colombian industrial sector: a multivariate time series analysis |
| dc.creator.fl_str_mv |
Portnoy, Ivan Manosalva-Sandoval, Jessica Picalua, Bianca Torregroza-Espinosa, Ana C. Romero-Espinosa, Diana |
| dc.contributor.author.none.fl_str_mv |
Portnoy, Ivan Manosalva-Sandoval, Jessica Picalua, Bianca Torregroza-Espinosa, Ana C. Romero-Espinosa, Diana |
| dc.subject.proposal.eng.fl_str_mv |
Pandemic Industrial production index Time series Multivariate analysis |
| topic |
Pandemic Industrial production index Time series Multivariate analysis |
| description |
The Coronavirus Disease 2019 (COVID-19) pandemic has had a severe impact on the global economy, and Latin America and the Caribbean were no exceptions. Colombia faced unprecedented economic and public health crises, leading to a significant reduction in its gross domestic product (GDP) and exportation rate of goods and services. In this study, we explore the pandemic's effect on the Colombian industrial sector using official data and statistics. We analyze the monthly Industrial Production Index (IPI) measurements taken by the Colombian National Administrative Department of Statistics (DANE, for its Spanish acronym) for 22 national industrial subsectors between January 2005 and December 2021. We apply multivariate statistics and time series techniques to compare forecasts with actual responses of the most affected subsectors after the COVID-19 outbreak. Our findings suggest that the Colombian industrial sector was not well-prepared to face the pandemic, leading to a significant financial loss. We also observe that the developing countries' industrial sectors, like Colombia's, are highly exposed and vulnerable. This information can help policymakers in Colombia to better understand the weaknesses of the industrial sector and develop strategies to mitigate the impact of future crises. |
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2023 |
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2023 |
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2024-10-30T15:42:25Z |
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2024-10-30T15:42:25Z |
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Portnoy Ivan, Manosalva-Sandoval Jessica, Picalúa Bianca, Torregroza-Espinosa Ana C, Romero-Espinosa Diana, Assessing the Impact of the COVID-19 Pandemic on the Colombian Industrial Sector: A Multivariate Time Series Analysis, Procedia Computer Science, Volume 224, 2023, Pages 513-518, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2023.09.074. |
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https://hdl.handle.net/11323/13605 |
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10.1016/j.procs.2023.09.074 |
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1877-0509 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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Portnoy Ivan, Manosalva-Sandoval Jessica, Picalúa Bianca, Torregroza-Espinosa Ana C, Romero-Espinosa Diana, Assessing the Impact of the COVID-19 Pandemic on the Colombian Industrial Sector: A Multivariate Time Series Analysis, Procedia Computer Science, Volume 224, 2023, Pages 513-518, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2023.09.074. 10.1016/j.procs.2023.09.074 1877-0509 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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eng |
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eng |
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Procedia computer science |
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[1] Song Yuegang, Hao Xiazhen, Hu Yilin, and Lu Zhou. (2021) “The Impact of the COVID-19 pandemic on China's manufacturing sector: a global value chain perspective.” Frontiers in public health 9: 683821. [2] Szczygielski Jan Jakub, Charteris Ailie, Bwanya, Princess Rutendo, and Brzeszczyński Janusz. (2022) “The impact and role of COVID-19 uncertainty: A global industry analysis.” International Review of Financial Analysis 80: 101837 [3] CEPAL NU (2020) “América Latina y el Caribe ante la pandemia del COVID-19: efectos económicos y sociales.” CEPAL. [4] BID (2022) “Banco Interamericano de Desarrollo” Instituto de Desarrollo Económico [5] Bonet-Morón Jaime, Ricciulli-Marín Diana, Pérez-Valbuena Gerson, Galvis-Aponte Luis Armando, Haddad Eduardo, Araújo Ignacio, and Perobelli Fernando. (2020) “Impacto económico regional del Covid-19 en Colombia: un análisis insumo-producto.” Documento de Trabajo sobre Economía Regional y Urbana 288 [6] DANE (2023) “Departamento Administrativo Nacional de Estadística” [7] DANE (2021) “Departamento Administrativo Nacional de Estadística” [8] PNUD (2021) “Programa de las Naciones Unidas para el Desarrollo” [9] Portnoy Iván, Melendez Kevin, Pinzon Horacio, and Sanjuan Marco. (2016) “An improved weighted recursive PCA algorithm for adaptive fault detection.” Control Engineering Practice 50: 69-83. [10] Venkatasubramanian Venkat, Rengaswamy Raghunathan, Kavuri Surya, and Yin Kewen. (2003) “A review of process fault detection and diagnosis: Part III: Process history based methods.” Computers & chemical engineering 27 (3): 327-346. [11] Jackson, J. Edward, and Mudholkar Govind. (1979) “Control procedures for residuals associated with principal component analysis” Technometrics 21 (3): 341-349. [12] Miller Paige, Swanson Ronald, and Heckler Charles E. (1998) “Contribution plots: a missing link in multivariate quality control.” Zielona Góra: Uniwersytet Zielonogórski. [13] Bermúdez José, Segura Jose, and Vercher Enriqueta. (2007) “Holt--Winters forecasting: an alternative formulation applied to UK air passenger data.” Journal of Applied Statistics 34 (9):1075-1090. [14] Frisén, Marianne (2011) “On multivariate control charts” Production 21: 235 - 241 [15] Shang Yunfeng, Haiwei Li, and Zhang Ren (2021) “Effects of Pandemic Outbreak on Economies: Evidence From Business History Context.” Frontiers in Public Health 9: 632043 |
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© 2023 The Authors. Published by Elsevier B.V. |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)© 2023 The Authors. Published by Elsevier B.V.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Portnoy, IvanManosalva-Sandoval, JessicaPicalua, BiancaTorregroza-Espinosa, Ana C.Romero-Espinosa, Diana2024-10-30T15:42:25Z2024-10-30T15:42:25Z2023Portnoy Ivan, Manosalva-Sandoval Jessica, Picalúa Bianca, Torregroza-Espinosa Ana C, Romero-Espinosa Diana, Assessing the Impact of the COVID-19 Pandemic on the Colombian Industrial Sector: A Multivariate Time Series Analysis, Procedia Computer Science, Volume 224, 2023, Pages 513-518, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2023.09.074.https://hdl.handle.net/11323/1360510.1016/j.procs.2023.09.0741877-0509Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The Coronavirus Disease 2019 (COVID-19) pandemic has had a severe impact on the global economy, and Latin America and the Caribbean were no exceptions. Colombia faced unprecedented economic and public health crises, leading to a significant reduction in its gross domestic product (GDP) and exportation rate of goods and services. In this study, we explore the pandemic's effect on the Colombian industrial sector using official data and statistics. We analyze the monthly Industrial Production Index (IPI) measurements taken by the Colombian National Administrative Department of Statistics (DANE, for its Spanish acronym) for 22 national industrial subsectors between January 2005 and December 2021. We apply multivariate statistics and time series techniques to compare forecasts with actual responses of the most affected subsectors after the COVID-19 outbreak. Our findings suggest that the Colombian industrial sector was not well-prepared to face the pandemic, leading to a significant financial loss. We also observe that the developing countries' industrial sectors, like Colombia's, are highly exposed and vulnerable. This information can help policymakers in Colombia to better understand the weaknesses of the industrial sector and develop strategies to mitigate the impact of future crises.6 páginasapplication/pdfengElsevier B.V.Netherlandshttps://www.sciencedirect.com/science/article/pii/S1877050923011213?via%3DihubAssessing the impact of the covid-19 pandemic on the colombian industrial sector: a multivariate time series analysisArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85ColombiaProcedia computer science[1] Song Yuegang, Hao Xiazhen, Hu Yilin, and Lu Zhou. (2021) “The Impact of the COVID-19 pandemic on China's manufacturing sector: a global value chain perspective.” Frontiers in public health 9: 683821.[2] Szczygielski Jan Jakub, Charteris Ailie, Bwanya, Princess Rutendo, and Brzeszczyński Janusz. (2022) “The impact and role of COVID-19 uncertainty: A global industry analysis.” International Review of Financial Analysis 80: 101837[3] CEPAL NU (2020) “América Latina y el Caribe ante la pandemia del COVID-19: efectos económicos y sociales.” CEPAL.[4] BID (2022) “Banco Interamericano de Desarrollo” Instituto de Desarrollo Económico[5] Bonet-Morón Jaime, Ricciulli-Marín Diana, Pérez-Valbuena Gerson, Galvis-Aponte Luis Armando, Haddad Eduardo, Araújo Ignacio, and Perobelli Fernando. (2020) “Impacto económico regional del Covid-19 en Colombia: un análisis insumo-producto.” Documento de Trabajo sobre Economía Regional y Urbana 288[6] DANE (2023) “Departamento Administrativo Nacional de Estadística”[7] DANE (2021) “Departamento Administrativo Nacional de Estadística”[8] PNUD (2021) “Programa de las Naciones Unidas para el Desarrollo”[9] Portnoy Iván, Melendez Kevin, Pinzon Horacio, and Sanjuan Marco. (2016) “An improved weighted recursive PCA algorithm for adaptive fault detection.” Control Engineering Practice 50: 69-83.[10] Venkatasubramanian Venkat, Rengaswamy Raghunathan, Kavuri Surya, and Yin Kewen. (2003) “A review of process fault detection and diagnosis: Part III: Process history based methods.” Computers & chemical engineering 27 (3): 327-346.[11] Jackson, J. Edward, and Mudholkar Govind. (1979) “Control procedures for residuals associated with principal component analysis” Technometrics 21 (3): 341-349.[12] Miller Paige, Swanson Ronald, and Heckler Charles E. (1998) “Contribution plots: a missing link in multivariate quality control.” Zielona Góra: Uniwersytet Zielonogórski.[13] Bermúdez José, Segura Jose, and Vercher Enriqueta. (2007) “Holt--Winters forecasting: an alternative formulation applied to UK air passenger data.” Journal of Applied Statistics 34 (9):1075-1090.[14] Frisén, Marianne (2011) “On multivariate control charts” Production 21: 235 - 241[15] Shang Yunfeng, Haiwei Li, and Zhang Ren (2021) “Effects of Pandemic Outbreak on Economies: Evidence From Business History Context.” Frontiers in Public Health 9: 632043518513224PandemicIndustrial production indexTime seriesMultivariate analysisPublicationORIGINALAssessing the Impact of the COVID-19 Pandemic on the Colombian Industrial Sector A Multivariate Time Series Analysis.pdfAssessing the Impact of the COVID-19 Pandemic on the Colombian Industrial Sector A Multivariate Time Series Analysis.pdfapplication/pdf641758https://repositorio.cuc.edu.co/bitstreams/685021d8-4246-42df-82c3-950b65da04c6/downloadcf1898380ce85868f035571d020bb25fMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-815543https://repositorio.cuc.edu.co/bitstreams/9fee4cab-ce77-4d43-bb95-6b6dcd681d1b/download73a5432e0b76442b22b026844140d683MD52TEXTAssessing the Impact of the COVID-19 Pandemic on the Colombian Industrial Sector A Multivariate Time Series Analysis.pdf.txtAssessing the Impact of the COVID-19 Pandemic on the Colombian Industrial Sector A Multivariate Time Series Analysis.pdf.txtExtracted texttext/plain23416https://repositorio.cuc.edu.co/bitstreams/c1243a50-9e37-48a5-908d-a51154510d07/download6c88d12df0384ca7eee5e0c8df89dd67MD53THUMBNAILAssessing the Impact of the COVID-19 Pandemic on the Colombian Industrial Sector A Multivariate Time Series Analysis.pdf.jpgAssessing the Impact of the COVID-19 Pandemic on the Colombian Industrial Sector A Multivariate Time Series Analysis.pdf.jpgGenerated Thumbnailimage/jpeg13864https://repositorio.cuc.edu.co/bitstreams/a89c1f0b-707b-4887-9222-b375431c2967/download453e9d18e1b4920f5834750bac767b72MD5411323/13605oai:repositorio.cuc.edu.co:11323/136052024-10-31 03:00:35.321https://creativecommons.org/licenses/by-nc-nd/4.0/© 2023 The Authors. 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ara ejercer estos derechos sobre la Obra tal y como se indica a continuación:</p>
    <ol type="a">
      <li>Reproducir la Obra, incorporar la Obra en una o más Obras Colectivas, y reproducir la Obra incorporada en las Obras Colectivas.</li>
      <li>Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.</li>
      <li>Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.</li>
    </ol>
    <p>Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).</p>
  </li>
  <br/>
  <li>
    Restricciones.
    <p>La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:</p>
    <ol type="a">
      <li>Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).</li>
      <li>Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.</li>
      <li>Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.</li>
      <li>
        Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:
        <ol type="i">
          <li>Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.</li>
          <li>Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.</li>
        </ol>
      </li>
      <li>Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.</li>
    </ol>
  </li>
  <br/>
  <li>
    Representaciones, Garantías y Limitaciones de Responsabilidad.
    <p>A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.</p>
  </li>
  <br/>
  <li>
    Limitación de responsabilidad.
    <p>A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.</p>
  </li>
  <br/>
  <li>
    Término.
    <ol type="a">
      <li>Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.</li>
      <li>Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.</li>
    </ol>
  </li>
  <br/>
  <li>
    Varios.
    <ol type="a">
      <li>Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.</li>
      <li>Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.</li>
      <li>Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.</li>
      <li>Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.</li>
    </ol>
  </li>
  <br/>
</ol>
 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