Fifty Years of India’s Manufacturing Sector Growth Journey- An Endogenous Break Perspective
Keywords:
Growth, Endogenous Breaks, Manufacturing SectorAbstract
The manufacturing sector, together with its interconnected relationships, both forward as well as backward linkage, has significant potential for generating employment and plays an important factor in a country's growth and prosperity. With the development of machines and new manufacturing processes, goods could be produced more quickly and at a lower cost. Consequently, the expansion of the manufacturing sector took place, resulting in the generation of employment opportunities and a notable increase in output levels. In the last fifty year from 1970-71 to 2019-20 total four breaks in the manufacturing sector growth path. This study investigates structural breaks in India's manufacturing sector output growth (1970–71 to 2019–20), which grew at an average annual rate of 6.08%. Using Boyce's [4] kink method, Bai and Perron's [2] [3] approach, and the novel Further Modified Bai and Perron (FMBP) method, structural breaks were estimated endogenously via a FORTRAN algorithm. The FMBP method improves upon existing models by incorporating kinks, one- or two-year subperiods, V-shaped breaks, and truncated regimes with a minimum length of seven years (four for truncated regimes). Findings reveal five distinct growth regimes, including one truncated regime, offering a comprehensive analysis of growth dynamics and methodological advancements.
References
D. W. Andrews, "Tests for parameter instability and structural change with unknown change point," Econometrica, vol. 61, no. 4, pp. 821–856, 1993. Available from: https://doi.org/10.2307/2951764
J. Bai and P. Perron, "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, vol. 66, pp. 47–78, 1998. Available from: https://doi.org/10.2307/2998540
J. Bai and P. Perron, "Computation and Analysis of Multiple Structural Change Models," Journal of Applied Econometrics, vol. 18, no. 1, 2003. Available from: https://doi.org/10.1002/jae.659
J. K. Boyce, "Kinked exponential models for growth rate estimation," Oxford Bulletin of Economics and Statistics, vol. 48, pp. 385–391, 1986. Available from: https://doi.org/10.1111/j.1468-0084.1986.mp48004007.x
R. H. Dholakia and A. Sapre, "Estimating Structural Breaks Endogenously in India's Post-Independence Growth Path: An Empirical Critique," Journal of Quantitative Economics, vol. 9, pp. 73–87, 2011. Available from: http://dx.doi.org/10.2307/4416428
P. Perron, "The Great Crash, the Oil Price Shock, and the Unit-Root Hypothesis," Econometrica, vol. 57, no. 6, pp. 1361–1401, 1989. Available from: https://doi.org/10.2307/1913712
P. Perron and X. Zhu, "Structural breaks with deterministic and stochastic trends," Journal of Econometrics, vol. 129, pp. 65–119, 2005. Available from: http://dx.doi.org/10.1016/j.jeconom.2004.09.004
D. Pradhan and D. Mondal, "Growth and Fluctuation in India’s GDP and Sectoral GDP: 1970–71 to 2019–20," Vidyasagar University Journal of Economics, vol. XXVII, pp. 125–139, 2023. [Online]. Available from: http://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/6944
D. Pradhan and D. Mondal, "Relative Importance of Openness Index and Crude Oil Price in Explaining Growth of India's GDP During 1970–71 to 2019–20," International Journal of Innovative Research in Engineering and Management (IJIREM), vol. 10, no. 6, pp. 60–65, 2023. Available from: https://doi.org/10.55524/ijirem.2023.10.6.9
E. Zivot and D. Andrews, "Further evidence of great crash, the oil price shock and unit root hypothesis," Journal of Business and Economic Statistics, vol. 10, pp. 251–270, 1992. Available from: https://doi.org/10.2307/1391541
