Osuagwu, Eze (2020): Empirical Evidence of a Long-Run Relationship Between Agriculture and Manufacturing Industry Output in Nigeria. Published in: SAGE Open No. Jan - March (March 2020): pp. 1-12.
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Abstract
This study investigates a long-run relationship between agriculture and manufacturing industry output in Nigeria using annual time series data from 1982 to 2017. The study employs Granger causality test, vector error correction model, and cointegration techniques to estimate the interdependence between agricultural productivity and manufacturing industry output. Empirical evidence from Granger causality test reveals a bidirectional relationship between agricultural productivity and manufacturing industry output. Although a positive and significant relationship exists in the short- and long-run estimates, a long-run divergence from the vector error correction model indicates that changes in agricultural productivity are not restored to equilibrium, given that macroeconomic factors distort the linkage. Policy implications suggest that macroeconomic stability is a necessary condition for agriculture and manufacturing industry output to foster economic growth.
Item Type: | MPRA Paper |
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Original Title: | Empirical Evidence of a Long-Run Relationship Between Agriculture and Manufacturing Industry Output in Nigeria |
Language: | English |
Keywords: | agriculture, manufacturing industry, Granger causality test, co-integration, vector error correction model |
Subjects: | O - Economic Development, Innovation, Technological Change, and Growth > O2 - Development Planning and Policy > O25 - Industrial Policy O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q18 - Agricultural Policy ; Food Policy |
Item ID: | 112932 |
Depositing User: | Dr Eze Simpson Osuagwu |
Date Deposited: | 05 May 2022 00:52 |
Last Modified: | 10 Oct 2024 15:56 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/112932 |