China and India have recently achieved spectacular economic growth where GDP per capita\r\ngrows rapidly in both countries. Thus, this study examines the contribution of economic\r\nsectors to economic growth in both countries by using time series data from 1978 to 2007.\r\nThree economic sectors were analyzed: agricultural sector, manufacturing sector and services\r\nsector. Augmented Dickey-Fuller (ADF) unit-root test shows that the time series data are\r\nstationary at first difference. Then, correlation analysis indicates that each economic sector\r\nhas strong, positive and significant linear relationship with economic growth in China and\r\nIndia. In addition, the results of multiple regression analysis show that agriculture,\r\nmanufacturing and services sectors have positive relationship with GDP per capita in China\r\nand India. However, the contribution of economic sectors to economic growth differs in\r\nChina and India. Manufacturing sector contributes the highest to China�s economic growth\r\nwhile services sector is the highest contributor to India�s economic growth.
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