Abstract:Since 1980, China and India have achieved remarkable rates of economic growth and poverty reduction. The emergence of China and India as major forces in the global economy has been one of the most significant economic developments of the past quarter century. This paper examines sources of economic growth in the two countries, comparing and contrasting their experiences over the past 25 years. In this paper, we investigate patterns of economic growth for China and India by constructing growth accounts that unc… Show more
“…First, the estimated capital share for both countries are different from the stylized value of one-third which is due to a couple of reasons: when (a) the capital and labor inputs tend to grow at relatively similar rates; (b) an economy is predominantly developing and hence a large number of self-employed persons earn income from both capital and their own labor (Gollin 2002) thus making it difficult to obtain meaningful measures of income shares; and (c) the quality and availability of data is weak and therefore making it difficult to compute or estimate the capital stock per worker (Bosworth and Collins 2008) that can perfectly exhibit decreasing returns to scale and conform to a desirable steady-state convergence process. We concur to all these reasons in case of this study.…”
Section: Cumulative Sum Of Recursive Residuals: Chinamentioning
In this paper, we explore the link between scientific and technical research and economic growth in China and USA over the sample period 1981-2012 using the extended Cobb-Douglas model with capital per worker and the quantity of scientific and technical journal articles (research publications) per worker. We examine the cointegration relationship and present the short-run and long-run results using the autoregressive distributed lag bounds procedure. Further, we examine the direction of causality between research publications per worker results and economic growth variables using the Toda and Yamamoto (J Econom 66(1-2):225-250, 1995) procedure. Our results indicate for both countries research publications per worker positively influence the output per worker both in the short-run and the long-run. The causality results for China indicate a bi-directional causality between research publications per worker and output per worker, duly emphasizing the mutually reinforcing effect. In case of USA, we note a unidirectional causation output per worker to research publications per worker indicating that output Granger cause research publications.
“…First, the estimated capital share for both countries are different from the stylized value of one-third which is due to a couple of reasons: when (a) the capital and labor inputs tend to grow at relatively similar rates; (b) an economy is predominantly developing and hence a large number of self-employed persons earn income from both capital and their own labor (Gollin 2002) thus making it difficult to obtain meaningful measures of income shares; and (c) the quality and availability of data is weak and therefore making it difficult to compute or estimate the capital stock per worker (Bosworth and Collins 2008) that can perfectly exhibit decreasing returns to scale and conform to a desirable steady-state convergence process. We concur to all these reasons in case of this study.…”
Section: Cumulative Sum Of Recursive Residuals: Chinamentioning
In this paper, we explore the link between scientific and technical research and economic growth in China and USA over the sample period 1981-2012 using the extended Cobb-Douglas model with capital per worker and the quantity of scientific and technical journal articles (research publications) per worker. We examine the cointegration relationship and present the short-run and long-run results using the autoregressive distributed lag bounds procedure. Further, we examine the direction of causality between research publications per worker results and economic growth variables using the Toda and Yamamoto (J Econom 66(1-2):225-250, 1995) procedure. Our results indicate for both countries research publications per worker positively influence the output per worker both in the short-run and the long-run. The causality results for China indicate a bi-directional causality between research publications per worker and output per worker, duly emphasizing the mutually reinforcing effect. In case of USA, we note a unidirectional causation output per worker to research publications per worker indicating that output Granger cause research publications.
“…We conclude highlighting the two main factors that appear to explain differences in agricultural growth between China and India as derived from the analysis of structural change in the agricultural TFP series of these countries. First, even though both China and India benefited from the Green Revolution, agricultural growth in China also benefited from more fundamental institutional reforms in agriculture: the restoration of family farms in the late 1970s and the movement of large numbers of workers into rural enterprises, the devolution of fiscal and administrative powers to local governments, and the steady introduction of market incentives (Bosworth and Collins 2008). These changes boosted production efficiency and had larger effect than the liberalization measures that followed after 1984, becoming the major explanation of the improved performance of the agricultural sector.…”
Section: Linking Policy Changes and Tfp Growth Patternsmentioning
“…These also show mixed results regarding long-run trends. In a comparison of economic growth between India and China between 1978Bosworth and Collins (2008, show a decline in Indian agricultural TFP after 1993 while China's remained roughly constant. Fuglie (2004) found evidence of rapid TFP growth in Indonesian agriculture during the 1970s followed by stagnation in the 1990s.…”
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