Each of these shocks seeks a transformation of society. Demonetisation sought to eradicate black money and usher in digitisation of economic transactions. GST seeks to eradicate the cascading effects of multiple indirect taxes and introduce a single seamless market across India. The ban on sale of firecrackers seeks to protect the health of the Earth and of its inhabitants.
All three transformations require a major shift in our attitudes. We, as a society, need to agree collectively that we shall not evade taxes or pollute the Earth. Tax evasion is popularly not considered to be a crime and, belligerence is confused with celebrations. Government has delivered the shocks and the costs of those shocks are now non-negotiable. It is now imperative that we transform to reject the social acceptance of rotten behaviour.
Demonetisation is an unnecessary and costly price we pay if we do not transform and resolutely reject tax evasion in society.
One of the biggest costs of demonetisation was job losses. We estimate that about 2 million jobs were lost between January and August 2017. 1.54 million jobs were lost during January-April 2017 and another 0.42 million were lost during May-August 2017.
We need to offset this cost with a transformation in attitudes towards the generation and deployment of unaccounted wealth. Else, this was a colossal waste of the nation's resources and a heavy price paid by the poor and unfortunate who lost jobs.
GST is hugely transformative. It effectively reduces the scope for the informal sector to survive without its transformation into a formal tax-paying sector. We understand, from scores of anecdotes every week, that the implementation of GST is leading to substantial job losses. Entrepreneurs either cannot bear the transaction cost or, customers are unwilling to pay the higher price suppliers now charge because of GST. Businesses that were not profitable if they were truthful in paying taxes are shutting down. Those with thin margins are shutting because they cannot bear the cost of compliance. This is a huge and painful transformation.
What we hear from CMIE's Consumer Pyramids Household Survey execution teams is that the job losses because of GST could be larger than the job losses because of demonetisation. I discount this information because people tend to dramatise current woes compared to past ones that they survived. Yet, there is an element of truth in the stories from the households. Demonetisation was distributive. People who stood in queues to convert the ill-gotten wealth of others got paid to provide this service. Wealth distribution happened in many other ways.
GST has no such distributive impact. This is a unilateral hit to those who cannot bear the cost of compliance. GST disrupts business for a cleaner business environment but, it could wipe out business sections. Employment data does not yet, show job losses on the scale that the execution teams relate through anecdotes. But, a fall in employment is evident.
The third transformation is led by the supreme court which banned sale of firecrackers in Delhi and NCR. This will impact traders around the region and producers in Tamil Nadu. The court order reflects society transforming in favour of a more civilised existence. Schools are educating children on the ill-effects of firecrackers. The impact on jobs because of this transformation will be relatively small but, its impact on our character, as a society, is much larger. Most civilised nations do not permit the random bursting of firecrackers. Fire-works is an art-form. We do not have to leave this to the level of crass, noisy display of belligerence.
We need to reduce the shocks, as job losses can derail the economy. Even as we may sustain efforts at the transformations initiated, it is imperative that the economy is not subjected to any further shocks till it recovers.
Every Tuesday, Business Standard brings you CMIE’s Consumer Sentiments Index and Unemployment Rate, the only weekly estimates of such data. The sample size is bigger than that surveyed by the National Sample Survey Organisation. To read earlier reports on the weekly numbers, click on the dates:
November 21, November 28, December 4, December 11, December 18, December 25, January 1, January 8, January 15 , January 22, January 29, February 4 , February 12, February 19, February 27, March 5, March 13, March 19, March 26, April 02, April 10, April 17, April 23, May 1, May 8, May 15, May 21, May 28, June 4, June 11, June 18, June 25, July 2, July 10, July 16, July 23, July 30, August 7, August 14, August 21, August 27, September 3, September 10, September 17, September 24, October 1, October 8
Consumer sentiment indices and unemployment rate are generated from CMIE's Consumer Pyramids survey machinery. The weekly estimates are based on a sample size of about 6,500 households and about 17,000 individuals who are more than 14 years of age. The sample changes every week but repeats after 16 weeks with a scheduled replenishment and enhancement every year. The overall sample size run over a wave of 16 weeks is 158,624 households. The sample design is of multi-stratrification to select primary sampling units and simple random selection of the ultimate sampling units, which are the households.
The Consumer Sentiment index is based on responses to five questions on the lines of the Surveys of Consumers conducted by University of Michigan in the US. The five questions seek a household's views on its well-being compared to a year earlier, its expectation of its well-being a year later, its view regarding the economic conditions in the coming one year, its view regarding the general trend of the economy over the next five years, and finally its view whether this is a good time to buy consumer durables.
The unemployment rate is computed on a current daily basis. A person is considered unemployed if she states that she is unemployed, is willing to work and is actively looking for a job. Labour force is the sum of all unemployed and employed persons above the age of 14 years. The unemployment rate is the ratio of the unemployed to the total labour force.
All estimations are made using Thomas Lumley's R package, survey. For full details on methodology, please visit CMIE India Unemployment data and CMIE India Consumer Sentiment.
The creation of these indices and their public dissemination is supported by BSE. University of Michigan is a partner in the creation of the consumer sentiment indices.