You are looking at 1 - 10 of 16 items for :

  • Economic Growth and Aggregate Productivity: General x
  • Earth Sciences, Geography, Environment x
Clear All
International Monetary Fund. Fiscal Affairs Dept.
This Note prepared for the G20 Infrastructure Working Group summarizes the main finding of the IMF flagships regarding the role of environmentally sustainable investment for the recovery. It emphasizes that environmentally sustainable investment is an important enabler for a resilient greener, and inclusive recovery—it creates jobs, spurs economic growth, addresses climate change, and improves the quality of life. It can also stimulate much needed private sector greener and resilient investment.
International Monetary Fund
An unprecedented policy response and rapid progress in vaccine development have helped pull the global economy from a deep recession. But the outlook is marked by high uncertainty and great divergence. Carefully calibrated policies and stronger international cooperation are vital to safely exit the crisis. Transformative policies should aim for fast convergence toward a green, digital, and inclusive future.
Yang Yang
This paper examines the impact of highway expansion on aggregate productivity growth and sectoral reallocation between cities in China. To do so, I construct a unique dataset of bilateral transportation costs between Chinese cities, digitized highway network maps, and firm-level census. I first derive and estimate a market access measure that summarizes all direct and indirect impact of trade costs on city productivity. I then construct an instrumental variable to examine the causal impact of highways on economic outcomes and the underlying channels. The results suggest that highways promoted aggregate productivity growth by facilitating firm entry, exit and reallocation. I also find evidence that the national highway system led to a sectoral reallocation between cities in China.
Ms. Yu Shi
This paper identifies a new mechanism leading to inefficiency in capital reallocation at the extensive margin when an economy experiences a sectoral boom. I argue that imperfections in the financial market and capital barriers to entry in the booming sector create a misallocation of managerial talent. Using comprehensive firm-level data from China, I first provide evidence that more productive firms reallocate capital to the booming real estate sector, and demonstrate that the pattern is likely driven by fewer financial constraints on these firms. I then use a structural estimation to verify the talent misallocation. Finally, I calibrate a dynamic model and find that the without the misallocation, the TFP growth in the manufacturing sector would have improved by 0.5% per year.
Volker Grossman and Thomas Steger
There are, by now, several long term, time series data sets on important housing & macro variables, such as land prices, house prices, and the housing wealth-to-income ratio. However, an appropriate theory that can be employed to think about such data and associated research questions has been lacking. We present a new housing & macro model that is designed specifically to analyze the long term. As an illustrative application, we demonstrate that the calibrated model replicates, with remarkable accuracy, the historical evolution of housing wealth (relative to income) after World War II and suggests a further considerable increase in the future. The model also accounts for the close connection of house prices to land prices in the data. We also compare our framework to the canonical housing & macro model, typically employed to analyze business cycles, and highlight the main differences.