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Discussion on the first no-confidence motion of the 17th Lok Sabha began today. No-confidence motions and confidence motions are trust votes, used to test or demonstrate the support of Lok Sabha for the government in power. Article 75(3) of the Constitution states that the government is collectively responsible to Lok Sabha. This means that the government must always enjoy the support of a majority of the members of Lok Sabha. Trust votes are used to examine this support. The government resigns if a majority of members support a no-confidence motion, or reject a confidence motion.
So far, 28 no-confidence motions (including the one being discussed today) and 11 confidence motions have been discussed. Over the years, the number of such motions has reduced. The mid-1960s and mid-1970s saw more no-confidence motions, whereas the 1990s saw more confidence motions.
Figure 1: Trust votes in Parliament
Note: *Term shorter than 5 years; **6-year term.
Source: Statistical Handbook 2021, Ministry of Parliamentary Affairs; PRS.
The no-confidence motion being discussed today was moved on July 26, 2023. A motion of no-confidence is moved with the support of at least 50 members. The Speaker has the discretion to allot time for discussion of the motion. The Rules of Procedure state that the motion must be discussed within 10 days of being introduced. This year, the no-confidence motion was discussed 13 calendar days after introduction. Since the introduction of the no-confidence motion on July 26, 12 Bills have been introduced and 18 Bills have been passed by Lok Sabha. In the past, on four occasions, the discussion on no-confidence motions began seven days after their introduction. On these occasions, Bills and other important issues were debated before the discussion on the no-confidence motion began.
Figure 2: Members rise in support of the motion of no-confidence in Lok Sabha
Source: Sansad TV, Lok Sabha, July 26, 2023; PRS.
Figure 3: Number of days from introduction to discussion on no-confidence motions
Note: Number of days implies calendar days.
Source: Statistical Handbook 2021, Ministry of Parliamentary Affairs; PRS.
On average, no-confidence motions (excluding the one being discussed today) have been discussed for 13 hours over three days. Discussions have lasted longer than 20 hours on four instances, most recently in 2003. Today’s no-confidence motion was allotted 12 hours discussion time by the Business Advisory Committee.
Following the discussion, the motion is put to vote. 26 out of 27 no-confidence motions (excluding the one being discussed today) have been voted upon and rejected. This means that no government has ever had to resign following a vote of no-confidence. On one occasion, in 1979, the discussion on a no-confidence motion against the Morarji Desai government remained inconclusive. He resigned before the motion was put to vote. 50% of all no-confidence motions (14 out of 28) were discussed between 1965 and 1975. Of these, 12 were against governments headed by Indira Gandhi.
Figure 4: Duration of discussion on no-confidence motions
Note: This graph excludes the no confidence motion moved on July 26, 2023.
Source: Statistical Handbook 2021, Ministry of Parliamentary Affairs; PRS.
In comparison, confidence motions have a more varied history. The first motion, brought in 1979 to demonstrate confidence in Charan Singh’s government, was not discussed at all. The Prime Minister resigned before the discussion could take place. Since then, 11 confidence motions have been discussed in Lok Sabha, with nine occurring in the 1990s. During this period, several coalition governments were formed, and Prime Ministers sought to prove their majority through confidence motions. These motions have been discussed, on average, for 12 hours over two days.
Figure 5: Duration of discussion of confidence motions
Source: Statistical Handbook 2021, Ministry of Parliamentary Affairs; PRS.
Of the 11 confidence motions discussed in Lok Sabha, seven were accepted. On three instances, governments had to resign as they could not prove that they had the support of the majority. On one instance in 1996, the motion was not put to vote. Following an eleven-hour discussion on this confidence motion, Prime Minister Atal Bihari Vajpayee announced his intention to resign on the floor of the House. He resigned 16 days into his term.
Vajpayee became Prime Minister again in 1999, and faced another confidence motion. This time, it was put to vote. The motion was defeated by a margin of one vote. This has been the closest result on a trust vote in the history of Lok Sabha. The next closest result was when a motion of no-confidence against P V Narasimha Rao’s government was defeated by 14 votes in 1993. In most cases, results have been in favour of the government by a large margin.
In April 2020, the International Labour Organisation (ILO) estimated that nearly 2.5 crore jobs could be lost worldwide due to the COVID-19 pandemic in 2020. Further, it observed that more than 40 crore informal workers in India may get pushed into deeper poverty due to the pandemic. In this blog post, we discuss the effect of COVID-19 on unemployment in urban areas as per the quarterly Periodic Labour Force Survey (PLFS) report released last week, and highlight some of the measures taken by the central government with regard to unemployment.
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Methodology for estimating unemployment in PLFS reports The National Statistics Office (NSO) released its latest quarterly PLFS report for the October-December 2020 quarter. The PLFS reports give estimates of labour force indicators including Labour Force Participation Rate (LFPR), Unemployment Rate, and distribution of workers across industries. The reports are released on a quarterly as well as annual basis. The quarterly reports cover only urban areas whereas the annual report covers both urban and rural areas. The latest annual report is available for the July 2019-June 2020 period. The quarterly PLFS reports provide estimates based on the Current Weekly Activity Status (CWS). The CWS of a person is the activity status obtained during a reference period of seven days preceding the date of the survey. As per CWS status, a person is considered as unemployed in a week if he did not work even for at least one hour on any day during the reference week but sought or was available for work. In contrast, the headline numbers on employment-unemployment in the annual PLFS reports are reported based on the usual activity status. Usual activity status relates to the activity status of a person during the reference period of the last 365 days preceding the date of the survey. |
To contain the spread of COVID-19, a nationwide lockdown was imposed from late March till May 2020. During the lockdown, severe restrictions were placed on the movement of individuals and economic activities were significantly halted barring the activities related to essential goods and services. Unemployment rate in urban areas rose to 20.9% during the April-June quarter of 2020, more than double the unemployment rate in the same quarter the previous year (8.9%). Unemployment rate refers to the percentage of unemployed persons in the labour force. Labour force includes persons who are either employed or unemployed but seeking work. The lockdown restrictions were gradually relaxed during the subsequent months. Unemployment rate also saw a decrease as compared to the levels seen in the April-June quarter of 2020. During the October-December quarter of 2020 (latest data available), unemployment rate had reduced to 10.3%. However, it was notably higher than the unemployment rate in the same quarter last year (7.9%).
Figure 1: Unemployment rate in urban areas across all age groups as per current weekly activity status (Figures in %)
Note: PLFS includes data for transgenders among males.
Sources: Quarterly Periodic Labour Force Survey Reports, Ministry of Statistics and Program Implementation; PRS.
Recovery post-national lockdown uneven in case of females
Pre-COVID-19 trends suggest that the female unemployment rate has generally been higher than the male unemployment rate in the country (7.3% vs 9.8% during the October-December quarter of 2019, respectively). Since the onset of the COVID-19 pandemic, this gap seems to have widened. During the October-December quarter of 2020, the unemployment rate for females was 13.1%, as compared to 9.5% for males.
The Standing Committee on Labour (April 2021) also noted that the pandemic led to large-scale unemployment for female workers, in both organised and unorganised sectors. It recommended: (i) increasing government procurement from women-led enterprises, (ii) training women in new technologies, (iii) providing women with access to capital, and (iv) investing in childcare and linked infrastructure.
Labour force participation
Persons dropping in and out of the labour force may also influence the unemployment rate. At a given point of time, there may be persons who are below the legal working age or may drop out of the labour force due to various socio-economic reasons, for instance, to pursue education. At the same time, there may also be discouraged workers who, while willing and able to be employed, have ceased to seek work. Labour Force Participation Rate (LFPR) is the indicator that denotes the percentage of the population which is part of the labour force. The LFPR saw only marginal changes throughout 2019 and 2020. During the April-June quarter (where COVID-19 restrictions were the most stringent), the LFPR was 35.9%, which was lower than same in the corresponding quarter in 2019 (36.2%). Note that female LFPR in India is significantly lower than male LFPR (16.6% and 56.7%, respectively, in the October-December quarter of 2019).
Figure 2: LFPR in urban areas across all groups as per current weekly activity status (Figures in %)
Note: PLFS includes data for transgenders among males.
Sources: Quarterly Periodic Labour Force Survey Reports, Ministry of Statistics and Program Implementation; PRS.
Measures taken by the government for workers
The Standing Committee on Labour in its report released in August 2021 noted that 90% of workers in India are from the informal sector. These workers include: (i) migrant workers, (ii) contract labourers, (iii) construction workers, and (iv) street vendors. The Committee observed that these workers were worst impacted by the pandemic due to seasonality of employment and lack of employer-employee relationship in unorganised sectors. The Committee recommended central and state governments to: (i) encourage entrepreneurial opportunities, (ii) attract investment in traditional manufacturing sectors and developing industrial clusters, (iii) strengthen social security measures, (iv) maintain a database of workers in the informal sector, and (v) promote vocational training. It took note of the various steps taken by the central government to support workers and address the challenges and threats posed by the COVID-19 pandemic (applicable to urban areas):
The central and state governments have also taken various other measures, such as increasing spending on infrastructure creation and enabling access to cheaper lending for businesses, to sustain economic activity and boost employment generation.
