By Rohit & Anirudh A modified 'Modernization of State Police Forces' scheme was started by the central government in 2000-01. One of the objectives was to help police forces in meeting the emerging challenges to internal security in the form of terrorism, naxalism etc. The scheme aims to modernize police forces in terms of:
Under this scheme, States have been clubbed into different categories and Centre-State cost sharing is category specific. Since 2005-06, States have been categorized as category ‘A’ and ‘B’ with 100% and 75% Central funding respectively. All the North Eastern States, namely Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland, Tripura and Sikkim have been placed in category ‘A’ and thus, are entitled to receive 100% Central assistance for implementation of their annual approved plans. Recently, CAG decided to evaluate the working of the scheme and commissioned ‘performance audit’ reviews covering select general category and special category States. Each review covers a contiguous five year period between 2000 and 2007, but varies across selected states. For the periods under review, each state had a plan outlay (the total amount proposed to be spent in modernizing the state's police forces). However, in most cases, the actual release of funds fell significantly short of this outlay - in some cases the Centre did not contribute its share, in others the States lagged behind. For instance, in the case of Bihar, the Centre released only 56% of its share; while in the case of Rajasthan and West Bengal, the States did not release any funds at all. The graph below shows the actual releases by the Centre and the States (as percentages of their share in the proposed outlays): 
Further, even the funds that were released were not fully utilized. Thus, the amount finally spent fell significantly short of the initial proposal. The graph below shows the actual expenditure by State: 
Following are some of the other main findings from the CAG report:
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Table 1: Summary of main findings in the CAG audit for different states for Modernisation of State Police Forces |
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Purpose for which money was sanctioned |
Summary of CAG Findings |
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Planning (Every state has to propose an Annual Action Plan every year. The plan is approved by the Ministry of Home Affairs and money is released as per the plan.) |
§ Submissions by the states to the MHA were delayed. § There were also delays in the clearance granted by the MHA. § In various states such as, a) Andhra Pradesh – the government spent money on works not covered by the Annual Action Plan. b) Bihar – Persistent delays in preparation of the Plan by the state police. c) West Bengal – the plans drawn up by the state did not include items covered under the scheme. |
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Mobility |
§ Overall shortage of vehicles was observed. Most of the new vehicles replaced the old ones. § The police response time was too long in some states. § To give examples from some states: a) Andhra Pradesh – 58 percent of vehicles procured were utilised for replacing old vehicles. b) Bihar – the shortage of vehicles was 43 percent. c) Uttar Pradesh – 2400 vehicles were procured against a shortage of nearly 10,000 vehicles. |
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Residential and non-residential buildings |
§ There were considerable delays in construction of buildings in most states. Consequently, police forces’ own security was in jeopardy. § In states such as: a) Andhra Pradesh – 53 percent of staff quarters and 43 percent of official buildings were not completed (2007). b) Bihar – The total requirement of housing was nearly 60,000. Only six percent of this were included in the Plan. c) Jharkhand – District Control rooms remained non-functional because of shortage of manpower. |
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Weapons |
§ Police force in states continue to depend on outdated weapons. § Shortages of weapons also happened as acquisition from ordnance factories was very slow. § The weapons that were procured were mostly kept in the district headquarters. § In some states such as, a) Bihar – AK-47s were kept at the disposal of bodyguards of VIPs. b) West Bengal – Adequate weapons were not supplied to extremist prone police stations. |
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Communication |
§ Police Telecommunication Networks were not set up successfully in some states. In others, network was functional only up to the district level. § Shortages of various communication equipments were also observed. § In some states such as, a) Bihar - The Police Telecommunication Network system (costing Rs. 4.96 crore) remained non-functional due to non-construction of tower. b) Maharashtra – Of the 850 purchased Remote Station Units, 452 were lying in stores. |
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Forensic Science Laboratory/ Finger Printing Bureau |
§ In most States the Forensic Science Laboratories lacked adequate infrastructure. § In the absence of automatic finger print identification systems, investigation was being done manually in some States. § In some states such as, a) Maharashtra - There were significant delays in receipt and installation. There was also shortage (284 vacant posts) of technical manpower. b) West Bengal - Performance of the Forensic Science Laboratory was poor and in some cases, the delay in issue of investigation reports was as high as 45 months. |
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Training |
§ It was observed that the percentage of police personnel trained was very low. § Training infrastructure was also inadequate. § In some states such as, a) Bihar - Only 10 per cent of total force was trained. b) West Bengal - Live training was not imparted for handling useful weapons and this severely affected the performance of police forces. |
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Sources: CAG Compendium of Performance Audit Reviews on Modernisation of Police Force; PRS. Note: The audit has been done broadly from 2000 to 2007. Consequently, the period of audit for different states may vary. |
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Table 1: Summary of main findings in the CAG audit for different states for Modernisation of State Police Forces |
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Purpose for which money was sanctioned |
Summary of CAG Findings |
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Planning (Every state has to propose an Annual Action Plan every year. The plan is approved by the Ministry of Home Affairs and money is released as per the plan.) |
§ Submissions by the states to the Ministry of Home Affairs (MHA) were delayed. § There were also delays in the clearance granted by the MHA. § In various states such as, a) Andhra Pradesh – the government spent Rs 32 crore on works not covered by the Annual Action Plan. b) Bihar – Persistent delays in preparation of the Plan by the state police. c) West Bengal – the plans drawn up by the state did not include items covered under the scheme. |
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Mobility |
§ Overall shortage of vehicles was observed. Most of the new vehicles replaced the old ones, and no additions were made. § The police response time was too long in some states. § To give examples from some states: a) Andhra Pradesh – 58 percent of vehicles procured were utilised for replacing old vehicles. b) Bihar – the shortage of vehicles was 43 percent. c) Uttar Pradesh – 2400 vehicles were procured against a shortage of nearly 10,000 vehicles. 203 ambassador cars were procured, though only 55 were approved by the MHA. |
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Residential and non-residential buildings |
§ There were considerable delays in construction of buildings in most states. Consequently, police forces’ own security was in jeopardy. Satisfaction levels with the housing provided were also very low. § In states such as: a) Andhra Pradesh – 53 percent of staff quarters and 43 percent of official buildings were not completed (2007). b) Bihar – The total requirement of housing was nearly 60,000. Only six percent of this were included in the Plan, and only 1045 units were completed by 2006. c) Jharkhand – District Control rooms remained non-functional even after spending Rs 2 crore because of shortage of manpower. |
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Weapons |
§ It was observed that the police force in states continue to depend on outdated weapons. § Shortages of weapons also happened as acquisition from ordnance factories was very slow. § The weapons that were procured were mostly kept in the district headquarters. § In some states such as, a) Bihar – AK-47s were kept at the disposal of bodyguards of VIPs. b) West Bengal – Adequate weapons were not supplied to extremist prone police stations. |
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Communication |
§ Police Telecommunication Networks were not set up successfully in some states. In others, network was functional only up to the district level. § Shortages of various communication equipments were also observed. § In some states such as, a) Bihar - The Police Telecommunication Network system (costing Rs. 4.96 crore) remained non-functional due to non-construction of tower. b) Maharashtra – Of the 850 purchased Remote Station Units, 452 were lying in stores. |
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Forensic Science Laboratory/ Finger Printing Bureau |
§ In most States the Forensic Science Laboratories lacked adequate infrastructure. § In the absence of automatic finger print identification systems, investigation was being done manually in some States. § In some states such as, a) Maharashtra - There were significant delays in receipt and installation. There was also shortage (284 vacant posts) of technical manpower. b) West Bengal - Performance of the Forensic Science Laboratory was poor and in some cases, the delay in issue of investigation reports was as high as 45 months. |
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Training |
§ It was observed that the percentage of police personnel trained was very low. § Training infrastructure was also inadequate. § In some states such as, a) Bihar - Only 10 per cent of total force was trained. b) West Bengal - Live training was not imparted for handling useful weapons and this severely affected the performance of police forces. |
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Sources: CAG Compendium of Performance Audit Reviews on Modernisation of Police Force; PRS. Note: The audit has been done broadly from 2000 to 2007. Consequently, the period of audit for different states may vary. |
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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.
