Análisis de los factores que influyen en la productividad del sector automotriz de México

Autores/as

  • Loraine Gastell-Piloto Universidad Autónoma de Nuevo León image/svg+xml
  • Lourdes Fabiola Espinoza-Parada Universidad Autónoma de Nuevo León image/svg+xml
  • Jesús Gerardo Cruz-Álvarez Universidad Autónoma de Nuevo León image/svg+xml

DOI:

https://doi.org/10.29105/vtga5.2-753

Palabras clave:

productividad, factores, industria automotriz

Resumen

La principal fuente de crecimiento económico moderno es el crecimiento de la productividad. Cuando la productividad aumenta, las economías logran una mayor producción con un determinado nivel de entradas, generando ganancias que aumentan los ingresos y mejoran los niveles de vida. La industria automotriz desempeña un papel fundamental en la economía de México, en 2017 de cada 100 pesos de productos manufactureros 20 pertenecían al sector automotriz. Por otro lado se realizaron exportaciones, gracias a las cuales México logró situarse en la cuarta posición de los países que más exportaron. En esta investigación se estudió acerca de los factores que influyen en la productividad del sector automotriz de México. El objetivo de esta investigación es encontrar cuáles son los factores determinantes para la variación de la productividad en el sector automotriz de México

Descargas

Los datos de descargas todavía no están disponibles.

Citas

Abolhassani, A., Harner, J., & Jaridi, M. (2018). Empirical analysis of productivity enhancement strategies in the North American automotive industry. International Journal of Production Economics, 208, 140–159. DOI: https://doi.org/10.1016/j.ijpe.2018.11.014

Abolhassani, A., & Jaridi, M. (2016). Productivity enhancement in North American automotive industry: Strategies and techniques to reduce hours-per-vehicle. International Journal of Productivity and Performance Management, 65(8), 1112–1136. DOI: https://doi.org/10.1108/IJPPM-08-2015-0117

Ansari, A., & Modarress, B. (1998). JIT purchasing as a quality and productivity centre. The International Journal of Production Research, 26(1), 19–26. DOI: https://doi.org/10.1080/00207548808947838

Atella, V., Belotti, F., Bojke, C., Castelli, A., Grašič, K., Kopinska, J., … Street, A. (2018). How health policy shapes healthcare sector productivity? Evidence from Italy and UK. Health Policy, 123(1), 27–36. DOI: https://doi.org/10.1016/j.healthpol.2018.10.016

Barro, R., & Jong-Wha, L. (1993). International comparisons of educational attainment. Journal of Monetary Economics, 32(3), 363–394. DOI: https://doi.org/10.1016/0304-3932(93)90023-9

Barro, R., & Jong-Wha, L. (2013). A new data set of educational attainment in the world. Journal of Development Economics, 104, 184–198. DOI: https://doi.org/10.1016/j.jdeveco.2012.10.001

Bosworth, B., & Maertens, A. (2010). Economic Growth and Employment Generation: The Role of the Service Sector. The Service Revolution in South Asia.

Brox, J. A., & Fader, C. (2002). The set of just-in-time management strategies: an assessment of their impact on plant-level productivity and input-factor substitutability using variable cost function estimates. International Journal of Production Research, 40(12), 2705–2720. DOI: https://doi.org/10.1080/00207540210137657

Chatzimichael, K., & Liasidou, S. (2018). A parametric decomposition of hotel-sector productivity growth. International Journal of Hospitality Management, 76, 206–215. Collett, S., & Spicer, R. J. (1995). Improving productivity through cellular manufacturing. Production and Inventory Management Journal, 36(1), 71. DOI: https://doi.org/10.1016/j.ijhm.2018.05.010

Corsatea, T., & Giaccaria, S. (2018). Market regulation and environmental productivity changes in the electricity and gas sector of 13 observed EU countries. Energy, 164, 1286–1297. DOI: https://doi.org/10.1016/j.energy.2018.08.145

Dai, X., Sun, Z., & Liu, Ha. (2018). Decomposing the contribution of firm innovation to aggregate productivity growth: the case of Chinese manufacturing industry. Applied Economics Letters, 26(7), 543–548. DOI: https://doi.org/10.1080/13504851.2018.1488038

Dzulkarnain, M., & Rahaman, W. (2017). Productivity Improvement in Automotive Component Company using Line Balancing. Pertanika Journal of Science and Technology, 25, 147–158.

Gencer, Y., & Akkucuk, U. (2018). Measuring aftersales productivity by multi attribute decision making methods: An application in the automotive sector. International Journal of Advanced and Applied Sciences, 5(9), 88–95. DOI: https://doi.org/10.21833/ijaas.2018.09.013

Gunasekaran, A. (1998). Agile manufacturing: enablers and an implementation framework. International Journal of Production Research, 36(5), 1223–1247. DOI: https://doi.org/10.1080/002075498193291

Herron, C., & Braiden, P. M. (2006). A methodology for developing sustainable quantifiable productivity improvement in manufacturing companies. International Journal of Production Economics, 104(1), 143–153. DOI: https://doi.org/10.1016/j.ijpe.2005.10.004

INEGI. (2017). Instituto Nacional de Estadística, Geografía e Informática.

INEGI. (2018). Instituto Nacional de Estadística, Geografía e Informática.

Jha, S., & Bag, D. (2019). The service sector: migration, technology and productivity. International Journal of Sociology and Social Policy, 39(1/2), 2–21. 1423 DOI: https://doi.org/10.1108/IJSSP-10-2017-0141

Kendrick, J. (1954). National productivity and its long-term projection. Long-Range Economic Projection, 67–104. DOI: https://doi.org/10.1515/9781400876174-004

Kim, H., & Jang, S. (2019). Minimum wage increase and firm productivity. Tourism Management, 71, 378–388. DOI: https://doi.org/10.1016/j.tourman.2018.10.029

Lee, C., & Leem, C. (2016). An empirical analysis of issues and trends in manufacturing productivity through a 30-year literature review. South African Journal of Industrial Engineering, 27(2), 147–159. DOI: https://doi.org/10.7166/27-2-1363

Liu, B., Chen, D., Zhou, W., Nasr, N., Wang, T., Shanying, H., & Bing, Z. (2018). The Effect of Remanufacturing and Direct Reuse on Resource Productivity of China’s Automotive Production Author names and affiliations. Journal of Cleaner Production, 194, 309–317. DOI: https://doi.org/10.1016/j.jclepro.2018.05.119

Majchrzak, M., & Stilger, L. (2017). Experience report: Introducing Kanban into automotive software project. E-Informatica Software Engineering Journal, 11(1).

Mukherjee, A. (2013). The Service Sector in India. ADB Economics Working Paper Series, (352). DOI: https://doi.org/10.2139/ssrn.2282311

Nallusamy, S., & Ahamed, A. (2017). Implementation of lean tools in an automotive industry for productivity enhancement-A case study. International Journal of Engineering Research in Africa, 29, 175–185. DOI: https://doi.org/10.4028/www.scientific.net/JERA.29.175

Neumann, W. P., Winkel, J., Medbo, L., Magneberg, R., & Mathiassen, S. E. (2006). Production system design elements influencing productivity and ergonomics: A case study of parallel and serial flow strategies. International Journal of Operations & Production Management, 26(8), 904–923. DOI: https://doi.org/10.1108/01443570610678666

OICA. (2017). International Organization of Motor Vehicle Manufacturers.

OICA. (2019). International Organization of Motor Vehicle Manufacturers.

Opazo-Basáez, M., Vendrell-Herrero, F., & Bustinza, O. (2018). Uncovering productivity gains of digital and green servitization: implications from the automotive industry. Sustainability, 10(5), 1524. DOI: https://doi.org/10.3390/su10051524

Osuagwu, E., Atanda, W., & Nwaogwugwu, I. (2018). Measuring Technical Efficiency and Productivity Change in the Nigerian Banking Sector: A Comparison of Non‐parametric and Parametric Techniques. African Development Review, 30(4), 490–501. DOI: https://doi.org/10.1111/1467-8268.12357

Otsuka, K., & Natsuda, K. (2016). The determinants of total factor productivity in the malaysian automotive industry: are government policies upgrading technological capacity? The Singapore Economic Review, 61(4), 18. DOI: https://doi.org/10.1142/S0217590815500460

Porter, M. (2000). Location, competition, and economic development: Local clusters in a global economy. Economic Development Quarterly, 14(1), 15–34. DOI: https://doi.org/10.1177/089124240001400105

Power, D. J., & Sohal, A. S. (1997). An examination of the literature relating to issues affecting the human variable in just-in-time environments. Technovation, 17(11–12), 649–666. DOI: https://doi.org/10.1016/S0166-4972(97)00071-0

Purba, H., & Aisyah, S. (2018). Productivity improvement picking order by appropriate method, value stream mapping analysis, and storage design: a case study in automotive part center. Management and Production Engineering Review, 9(1), 71–81.

Rozen-Bakher, Z. (2017). Labour productivity in M&As: industry sector vs. services sector. The Service Industries Journal, 18(15–16), 1043–1066. DOI: https://doi.org/10.1080/02642069.2017.1397136

Sasso, S., & Ritzen, J. (2018). Sectoral cognitive skills, r&d, and productivity: A cross-country cross-sector analysis. Education Economics, 27(1), 35–51. DOI: https://doi.org/10.1080/09645292.2018.1515309

Savino, M. M., & Mazza, A. (2015). Kanban-driven parts feeding within a semi-automated Oshaped assembly line: a case study in the automotive industry. Assembly Automation, 35(1), 3–15. DOI: https://doi.org/10.1108/AA-07-2014-068

Sharpe, A. (2002). Productivity concepts, trends and prospects: an overview. The Review of 1424 Economic Performance and Social Progress, 2.

Syverson, C. (2011). What determines productivity? Journal of Economic Literature, 49(2), 326365. DOI: https://doi.org/10.1257/jel.49.2.326

Waters-Fuller, N. (1995). Just-in-time purchasing and supply: a review of the literature. International Journal of Operations & Production Management, 15(9), 220–236. DOI: https://doi.org/10.1108/01443579510099751

Descargas

Publicado

31-07-2019

Cómo citar

Gastell-Piloto, L., Espinoza-Parada, L. F., & Cruz-Álvarez, J. G. (2019). Análisis de los factores que influyen en la productividad del sector automotriz de México. Vinculatégica EFAN, 5(2), 1409–1424. https://doi.org/10.29105/vtga5.2-753