Understanding China's Growth: Past, Present, and Future
By Xiaodong Zhu. 2012
570 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/a57ac1c5e19c2217bb13d21692a09b03e036f390
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Citations in the corpus
- China's R&D explosion - analyzing productivity effects across ownership types and over time (2016, unknown): “…at state-owned firms, for example through higher levels of capital accumulation, preferential access to financial resources, profits from monopoly rights in a number of industries 2 , and protection from foreign competition (Zhu, 2012; Branstetter and Feenstra, 2002; Amiti and Javorcik, 2008).”
- The Fundamental Institutions of China's Reforms and Development (2011, background): “65 Without differentiating between MBO and nonMBO privatization, by examining formerly state-owned large and medium-size enterprises for the period from 1994 to 1999 nationwide, Jefferson and Jian Su (2006) found that privatization increased productivity and investments in research and development.”
- Factor market distortion correction, resource reallocation and potential productivity gains: An empirical study on China's heavy industry sector (2018, background): “…2011), the misallocation of productive inputs will inevitably lead to the loss of TFP (Restuccia and Rogerson, 2008; Banerjee and Moll, 2010; Syverson, 2011; Bartelsman et al., 2013), thereby significantly hindering China's economic growth and the transformation of its development mode (Zhu, 2012).”
- From “Made in China” to “Innovated in China”: Necessity, Prospect, and Challenges (2017, unknown): “The increase in productivity stems from innovations within sectors and the reallocation of resources (mainly workers) from lower-productivity to higher-productivity sectors, such as from the state sector to the private sector and from the agricultural sector to nonagricultural sectors (Zhu 2012).”
- The China Shock: Learning from Labor Market Adjustment to Large Changes in Trade (2016, unknown): “After all, the Chinese economy had underperformed relative to Western Europe during every epoch since the 1500s (Zhu 2012).”
- The Structure of Economic Modeling of the Potential Impacts of Climate Change: Grafting Gross Underestimation of Risk onto Already Narrow Science Models (2013, background): “With agricultural output just 15 percent or so of GDP, for example, in India, even a 20 percent yield loss (these are the types of scale that some studies generate) would imply a fall in GDP of only around 3 percent.25 However, such 24 Mendelsohn, Nordhaus, and Shaw (1994), Mendelsohn and Schlesinge”
- State Control and Corporate Governance in Transition Economies: 25 Years on from 1989 (2016, unknown): “This restructuring led to productivity growth and a decline in SOEs’ share of labor (Zhu, 2012).”
- Reserve requirements and optimal Chinese stabilization policy (2017, result): “We calibrate the labor income share to α = 0.5, consistent with empirical evidence in Chinese data (Brandt, Hsieh and Zhu, 2008; Zhu, 2012).”
- Trade, Migration, and Productivity: A Quantitative Analysis of China (2019, background): “Since then, the Chinese government has undertaken policy reforms and infrastructure investments that reduced both migration and trade costs and, at the same time, the Chinese economy has experienced significant aggregate productivity growth (Zhu, 2012).”
- Risks in China's Financial System (2018, unknown): “Consequently, investment went up, resource allocation improved and growth took off (see, e.g., Zhu (2012) and Zilibotti (2017)).”
- Causality Between High-Performance Work Systems and Organizational Performance (2017, background): “Economists argue for the importance of productivity measures for assessing the performance of both firms (Dhawan, 2001) and the economy as a whole (Zhu, 2012).”
- From Divergence to Convergence: Reevaluating the History behind China's Economic Boom (2014, unknown): “INSERT TABLE 1 ABOUT HERE While the Song peak perspective continues to receive scholarly support, most recently from William Guanglin Liu (2005),10 the quantitative underpinning of key elements of the Song success story remains fragile.”