For economists, "automatic stabilizers" refers to how tax and spending policies adjust without any additional legislative policy or change during economic upturns and downturns--and do so in a way that tends to stabilize the economy. For example, in an economic downturn, a standard macroeconomic prescription is to stimulate the economy with lower taxes and higher spending. But in an economic downturn, taxes fall to some extent automatically, as a result of lower incomes. Government spending rises to some extent automatically, as a result of more people becoming eligible for unemployment insurance, Medicaid, food stamps, and so on. Thus, even before the government undertakes additional discretionary stimulus legislation, the automatic stabilizers are kicking in.
The share of US national income going to labor was sagging through the second half of the century, but then plunged starting around 2000. The McKinsey Global Institute takes "A new look at the declining labor share of income in the United States" in a report by James Manyika, Jan Mischke, Jacques Bughin, Jonathan Woetzel, Mekala Krishnan, and Samuel Cudre (May 2019).
The implementation of ERP systems is becoming standard practice for medium and large enterprises, while also growing in adoption among small businesses. As ERP adoption saturates the market, businesses are now looking at intelligent AI-enabled ERP as the new technological benchmark.
Citizen developers are already utilizing zero-code platforms to build their own apps. Similarly, organizations can deploy a zero-code platform to accelerate the development of their enterprise apps.
Top 7 cities' unsold inventory declines from 50 months in Q1 2017 to 30 months this quarter Unsold inventory in Delhi-NCR drops to 50% - from 90 months in Q1 2017 to 45 months in Q1 2019 Bangalore & Hyderabad’s current inventory levels at all-time low of 15 months each Pune’s unsold inventory at 28 months, followed by Chennai with 30 months; MMR & Kolkata with 35 months each Top 7 cities' cumulative unsold stock declines by 16% in 2 years - at 6.65 lakh units in Q1 2019
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