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On June 1, 2020, the Cabinet Committee on Economic Affairs approved a revision in the definition of Micro, Small and Medium Enterprises (MSMEs).[1] In this blog, we discuss the change in the definition as approved by the Cabinet, and examine some of the common criteria used for classification of MSMEs.
Currently, MSMEs are defined under the Micro, Small and Medium Enterprises Development Act, 2006.[2] The Act classifies them as micro, small and medium enterprises based on: (i) investment in plant and machinery for enterprises engaged in manufacturing or production of goods, and (ii) investment in equipment for enterprises providing services. As per the Cabinet approval, the investment limits will be revised upwards and annual turnover of the enterprise will be used as additional criteria for the classification of MSMEs (Table 1).
Earlier attempts to amend the definition of MSMEs
The central government has sought to revise the definition of MSMEs in the Act on two earlier occasions. The government introduced the MSME Development (Amendment) Bill, 2015 which proposed to increase the investment limits for manufacturing and services MSMEs.[3] This Bill was withdrawn in July 2018 and another Bill was introduced. The MSME Development (Amendment) Bill, 2018 proposed to: (i) use annual turnover as criteria instead of investment for classification of MSMEs, (ii) remove the distinction between manufacturing and services, and (iii) provide the central government with the power to revise the turnover limits, through a notification.[4] The 2018 Bill lapsed with the dissolution of 16th Lok Sabha.
Global trends in criteria for the classification of MSMEs
While India will now be using investment and annual turnover as the criteria to classify MSMEs, globally, the number of employees is the most widely used criteria for classifying MSMEs. The Reserve Bank of India's Expert Committee on MSMEs (2019) cited a study by the International Finance Corporation in 2014 which analysed 267 definitions used by different institutions in 155 countries.[5],[6] According to the study, countries used a combination of criteria to classify MSMEs. 92% of the definitions used the number of employees as one of the criteria. Other frequently used criteria were: (i) turnover (49%), and (ii) value of assets (36%). 11% of the analysed definitions used alternative criteria such as: (i) loan size, (ii) years of experience, and (iii) initial investment.
Evaluation of common criteria used to define MSMEs
Investment: The 2006 Act uses investment in plant, machinery, and equipment to classify MSMEs. Some of the issues with the investment criteria include:
Due to their informal and small scale of operations, firms often do not maintain proper books of accounts and hence find it difficult to get classified as MSMEs as per the current definition.5
The investment-based classification incentivises promoters to keep the investment size restricted to retain the benefits associated with the micro or small category.7
Turnover: The 2018 Bill sought to replace the investment criteria with annual turnover as the sole criteria for the classification of MSMEs. The Standing Committee agreed with the proposal under the Bill to use annual turnover as the criteria instead of investment.7 It observed that this could overcome some of the shortcomings of classification based on investment. While turnover based criteria will also require verification, the Committee noted that the GST Network (GSTN) data can act as a reliable source of information for this purpose. However, it also observed that:7
With turnover as a criterion for classification, corporates may misuse the incentives meant for MSMEs. For instance, there is a possibility that a multi-national company may produce a large quantity of products worth a high turnover and then market it through various subsidiaries registered as Micro or Small enterprise under GSTN.
The turnover of some enterprises may fluctuate depending on their business, which may result in the change of classification of the enterprise during a year.
The Committee noted that there is a wide gap in turnover limits. For instance, an enterprise with a turnover of Rs 6 crore and an enterprise with a turnover of Rs 75 crore (as proposed in 2018 Bill) would both be classified as a small enterprise, which seems incongruous.
The Expert Committee (RBI) also recommended using annual turnover as the criteria for classification instead of investment.5 It observed that turnover based definition would be transparent, progressive, and easier to implement through the GSTN. It also recommended that the power to change the definition of MSMEs should be delegated to the executive as it will help in responding to changing economic scenarios.
Number of employees: The Standing Committee had highlighted that in a labour-intensive country like India, appropriate focus is required on employment generation and MSME sector is the most suitable platform for this.7 It had recommended that the central government should assess the number of persons employed in the MSME sector and also consider employment as a criterion while classifying MSMEs. However, the Expert Committee (RBI) stated that while the employment-based definition is an additional feature preferred in some countries, the definition would pose challenges in implementation.5 According to the Ministry of MSME, employment as a criterion has problems due to: (i) factors such as seasonality and informal nature of engagement, (ii) similar to investment criteria, this would also require physical verification and has associated cost overheads.7
Number of MSMEs
According to the National Sample Survey (2015-16), there were around 6.34 crore MSMEs in the country. The micro sector with 6.3 crore enterprises accounted for more than 99% of the total estimated number of MSMEs. The small and medium sectors accounted for only 0.52% and 0.01% of the estimated number of enterprises, respectively. Another dataset to understand the distribution of MSMEs is Udyog Aadhaar, a unique identity provided by the Unique Identification Authority of India (UIDAI) to MSME enterprises.[8] Udyog Aadhaar registration is based on self-declaration by enterprises. Between September 2015 and June 2020, 98.6 lakh enterprises have registered with UIDAI. According to this dataset, micro, small, and medium enterprises comprise 87.7%, 11.8% and 0.5% of the MSME sector respectively.
Employment in the MSME sector
The MSME sector employed nearly 11.1 crore people in 2015-16. The sector was the second largest employer after the agriculture sector. The highest number of employed persons were engaged in trade activity (35%), followed by persons engaged in manufacturing (32%).
Implications of change in the definition of MSMEs
The change in the definition of MSMEs may result in many enterprises which are currently classified as Small enterprises be reclassified as Micro, and those classified as Medium enterprises be reclassified as Small. Further, there may be many enterprises which are not currently classified as MSMEs, which may fall under the MSME classification as per the new definition. Such enterprises will also now benefit from the schemes related to MSMEs. The Ministry of MSME runs various schemes to provide for: (i) flow of credit to MSMEs, (ii) support for technology upgrade and modernisation, (iii) entrepreneurship and skill development, and (iv) cluster-wise measures to promote capacity-building and empowerment of MSME units. For instance, under the Credit Guarantee Fund Scheme for Micro and Small Enterprises, a credit guarantee cover of up to 75% of the credit is provided to micro and small enterprises.[9] Thus, the re-classification may require a significant increase in budgetary allocation for the MSME sector.
Other announcements related to MSMEs in the aftermath of COVID-19
MSME sector accounted for nearly 33.4% of the total manufacturing output in 2017-18.[10] During the same year, its share in the country’s total exports was around 49%. Between 2015 and 2017, the contribution of the sector in GDP has been around 30%. Due to the national lockdown induced by COVID-19, businesses including MSMEs have been badly hit. To provide immediate relief to the MSME sector, the government announced several measures in May 2020.[11] These include: (i) collateral-free loans for MSMEs with up to Rs 25 crore outstanding and up to Rs 100 crore turnover, (ii) Rs 20,000 crore as subordinate debt for stressed MSMEs, and (iii) Rs 50,000 crore of capital infusion into MSMEs. These measures have also been approved by the Union Cabinet.[12]
For more details on the announcements made under the Aatma Nirbhar Bharat Abhiyan, see here.
[1] “Cabinet approves Upward revision of MSME definition and modalities/ road map for implementing remaining two Packages for MSMEs (a)Rs 20000 crore package for Distressed MSMEs and (b) Rs 50,000 crore equity infusion through Fund of Funds”, Press Information Bureau, Cabinet Committee on Economic Affairs, June 1, 2020.
[2] The Micro, Small and Medium Enterprises Development Act, 2006, https://samadhaan.msme.gov.in/WriteReadData/DocumentFile/MSMED2006act.pdf.
[3] The Micro, Small and Medium Enterprises Development (Amendment) Bill, 2015, https://www.prsindia.org/sites/default/files/bill_files/MSME_bill%2C_2015_0.pdf.
[4] The Micro, Small and Medium Enterprises Development (Amendment) Bill, 2018, https://www.prsindia.org/sites/default/files/bill_files/The%20Micro%2C%20Small%20and%20Medium%20Enterprises%20Development%20%28Amendment%29%20Bill%2C%202018%20Bill%20Text.pdf.
[5] Report of the Expert Committee on Micro, Small and Medium Enterprises, The Reserve Bank of India, July 2019, https://rbidocs.rbi.org.in/rdocs/PublicationReport/Pdfs/MSMES24062019465CF8CB30594AC29A7A010E8A2A034C.PDF.
[6] MSME Country Indicators 2014, International Finance Corporation, December 2014, https://www.smefinanceforum.org/sites/default/files/analysis%20note.pdf.
[7] 294th Report on Micro Small and Medium Enterprises Development (Amendment) Bill 2018, Standing Committee on Industry, Rajya Sabha, December 2018, https://rajyasabha.nic.in/rsnew/Committee_site/Committee_File/ReportFile/17/111/294_2019_3_15.pdf.
[8] Enterprises with Udyog Aadhaar Number, National Portal for Registration of Micro, Small & Medium Enterprises, Ministry of Micro, Small and Medium Enterprises, https://udyogaadhaar.gov.in/UA/Reports/StateBasedReport_R3.aspx.
[9] Credit Guarantee Fund Scheme for Micro and Small Enterprises, Ministry of Micro, Small and Medium Enterprises, http://www.dcmsme.gov.in/schemes/sccrguarn.htm.
[10] Annual Report 2018-19, Ministry of Micro, Small and Medium Enterprises, https://msme.gov.in/sites/default/files/Annualrprt.pdf.
[11] "Finance Minister announce measures for relief and credit support related to businesses, especially MSMEs to support Indian Economy’s fight against COVID-19", Press Information Bureau, Ministry of Finance, May 13, 2020.
[12] "Cabinet approves additional funding of up to Rupees three lakh crore through introduction of Emergency Credit Line Guarantee Scheme (ECLGS)", Press Information Bureau, Ministry of Finance, May 20, 2020.
Recently, the Supreme Court collegium reiterated its recommendations for the appointment of 11 judges to certain High Courts. It had first recommended these names earlier this year and in August last year, but these appointments were not made. The Indian judiciary faces high vacancies across all levels (the Supreme Court, High Courts, and subordinate courts). Vacancy of judges in courts is one of the reasons for delays and a rising number of pending cases, as there are not enough judges to hear and decide cases. As of today, more than four crore cases are pending across all courts in India. In this blog post, we discuss vacancies across courts over the years, delays in appointment of judges, and methods to determine the adequate judge strength required to handle the caseload courts face.
High vacancy of judges across courts
Vacancies in courts keep on arising periodically due to retirement, resignation, demise, or elevation of judges. Over the years, the sanctioned strength of judges in both High Courts and subordinate courts has been increased gradually. However, vacancies persist due to insufficient appointments (see Figures 1 and 2). Between 2010 and 2020, vacancies increased from 18% to 21% across all levels of courts (from 6% to 12% in the Supreme Court, from 33% to 38% in High Courts, and from 18% to 20% in subordinate courts).
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Figure 1: Vacancy of judges in High Courts |
Figure 2: Vacancy of judges in subordinate courts |
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Sources: Court News 2010-2018; Vacancy Statement, and Rajya Sabha replies, Part I, Budget Session (2021), Department of Justice; PRS. |
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As on November 1, 2021, the Supreme Court had a vacancy of one judge (out of a sanctioned strength of 34). Vacancy in High Courts stood at 37% (406 posts vacant out of a sanctioned strength of 1,098). Since May, 2021, the Supreme Court collegium has recommended more than 130 names for appointment as High Court judges. In three High Courts (Telangana, Patna, and Calcutta), at least half of the posts are vacant (see Figure 3). The Standing Committee on Personnel, Public Grievances, Law and Justice (2020) noted that every year, 35-40% of posts of High Court judges remain unfilled.
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Figure 3: Vacancy of judges across High Courts (in %) (as on November 1, 2021)
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Source: Vacancy Statement, Department of Justice; PRS. |
Appointments of High Court judges are guided by a memorandum of procedure. As per this memorandum, the appointment process is to be initiated by the concerned High Court at least six months before a vacancy occurs. However, the Standing Committee (2021) noted that this timeline is rarely adhered to by High Courts. Further, in the final stage of the process, after receiving recommendations from the Supreme Court collegium, the executive appoints judges to the High Court. No timeline is prescribed for this stage of the appointment process. In 2018 and 2019, the average time taken to appoint High Court judges after receiving the collegium’s recommendations was five to seven months.
As of today, over 3.6 crore cases are pending before subordinate courts in India. As on February 20, 2020, 21% posts for judges were vacant (5,146 posts out of the sanctioned strength of 24,018) in subordinate courts. Subordinate courts in Bihar, Haryana, and Jharkhand (among the states with high population) had a high proportion of vacancies of judges (see Figure 4). Note that the Supreme Court is monitoring the procedure for appointment of judges to subordinate courts.
For an analysis of the data on pendency and vacancies in the Indian judiciary, see here.
Figure 4: Vacancy of judges across subordinate courts (in %) (as on February 20, 2020)
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Source: Report No. 101, Standing Committee on Personnel, Public Grievances, Law and Justice (2020); PRS. |
How many judges do we need?
The Law Commission of India (1987) had noted the importance of manpower planning for the judiciary. Lack of adequate number of judges means a greater workload per judge. Thus, it becomes essential to arrive at an optimal judge strength to deal with pending and new cases in courts. Over the years, different methods of calculating the required judge strength for subordinate courts (where the backlog of cases in the Indian judiciary is concentrated) have been recommended (see Table 1).
Table 1: Methods recommended for calculating the required number of judges for subordinate courts
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Method of calculation |
Recommendation and its status |
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Judge-to-population ratio: optimum number of judges per million population |
The Law Commission of India (1987) had recommended increasing this ratio to 50 judges per million people. This was reiterated by the Supreme Court (2001) and the Standing Committee on Home Affairs (2002). For 2020, the judge-to-population ratio was 21 judges per million population. Note that this figure is calculated based on the sanctioned strength of judges in the Supreme Court, High Courts and subordinate courts. |
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Rate of disposal: number of additional judges required (to clear the existing backlog of cases and ensure that new backlog is not created) based on the average number of cases disposed per judge |
The Law Commission of India (2014) proposed this method. It rejected the judge-to-population ratio method, observing that filing of cases per capita varies substantially across geographic units depending on socio-economic conditions. |
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Weighted case load method: calculating judge strength based on the disposal by judges, taking into account the nature and complexity of cases in local conditions |
The National Court Management Systems Committee (NCMS) (2016) critiqued the rate of disposal method. It proposed, as an interim measure, the weighted case load method, which addresses the existing backlog of cases as well as the new flow of cases every year in subordinate courts. In 2017, the Supreme Court accepted this model. |
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Time-based weighted case load method: calculating the required judge strength taking into account the actual time spent by judges in different types of cases at varying stages based on an empirical study |
Used widely in the United States, this was the long-term method recommended by the NCMS (2016) to assess the required judge strength for subordinate courts. It involves determining the total number of ‘judicial hours’ required for disposing of the case load of each court. The Delhi High Court used this approach in a pilot project (January 2017- December 2018) to calculate the ideal judge strength for disposing of pending cases in certain courts in Delhi. |
Sources: Reports No. 120 (1987) and 245 (2014), Law Commission of India; Report No. 85, Standing Committee on Home Affairs (2002); Note for Calculating Required Judge Strength for Subordinate Courts, National Court Management Systems Committee (NCMS) (2016); Imtiyaz Ahmad vs. State of Uttar Pradesh, Supreme Court (2017); PRS.
