Recently, the Indian Railways announced rationalisation of freight fares. This rationalisation will result in an 8.75% increase in freight rates for major commodities such as coal, iron and steel, iron ore, and raw materials for steel plants. The freight rates were rationalised to ensure additional revenue generation across the network. An additional revenue of Rs 3,344 crore is expected from such rationalisation, which will be utilised to improve passenger amenities. In addition, the haulage charge of containers has been increased by 5% and the freight rates of other small goods have been increased by 8.75%. Freight rates have not been increased for goods such as food grains, flours, pulses, fertilisers, salt, and sugar, cement, petroleum, and diesel. In light of this, we discuss some issues around Railways’ freight pricing.
Railways’ sources of internal revenue
Railways earns its internal revenue primarily from passenger and freight traffic. In 2016-17 (latest actual figures available), freight and passenger traffic contributed to about 63% and 28% of the internal revenue, respectively. The remaining is earned from miscellaneous sources such as parcel service, coaching receipts, and platform tickets.
Freight traffic: Railways majorly transports bulk freight, and the freight basket has mostly been limited to include raw materials for certain industries such as power plants, and iron and steel plants. It generates most of its freight revenue from the transportation of coal (43%), followed by cement (8%), food-grains (7%), and iron and steel (7%). In 2018-19, Railways expects to earn Rs 1,21,950 crore from its freight traffic.
Passenger traffic: Passenger traffic is broadly divided into two categories: suburban and non-suburban traffic. Suburban trains are passenger trains that cover short distances of up to 150 km, and help move passengers within cities and suburbs. Majority of the passenger revenue (94% in 2017-18) comes from the non-suburban traffic (or the long-distance trains).
Within non-suburban traffic, second class (includes sleeper class) contributes to 67% of the non-suburban revenue. AC class (includes AC 3-tier, AC Chair Car and AC sleeper) contributes to 32% of the non-suburban revenue. The remaining 1% comes from AC First Class (includes Executive class and First Class).
Railways’ ability to generate its own revenue has been slowing
The growth rate of Railways’ earnings from its core business of running freight and passenger trains has been declining. This is due to a decline in the growth of both freight and passenger traffic. Some of the reasons for such decline include:
Freight traffic growth has been declining, and is limited to a few items
Growth of freight traffic has been declining over the last few years. It has declined from around 8% in the mid-2000s to a 4% negative growth in mid-2010s, before an estimated recovery to about 5% now.
The National Transport Development Policy Committee (2014) had noted various issues with freight transportation on railways. For example, Indian Railways does not have an institutional arrangement to attract and aggregate traffic of smaller parcel size. Further, freight services are run with a focus on efficiency instead of customer satisfaction. Consequently, it has not been able to capture high potential markets such as FMCGs, hazardous materials, or automobiles and containerised cargo. Most of such freight is transported by roads.
The freight basket is also limited to a few commodities, most of which are bulk in nature. For example, coal contributes to about 43% of freight revenue and 25% of the total internal revenue. Therefore, any shift in transport patterns of any of these bulk commodities could affect Railways’ finances significantly.
For example, if new coal based power plants are set up at pit heads (source of coal), then the need for transporting coal through Railways would decrease. If India’s coal usage decreases due to a shift to more non-renewable sources of energy, it will reduce the amount of coal being transported. Such situations could have a significant adverse impact on Railways’ revenue.
Freight traffic cross-subsidises passenger traffic
In 2014-15, while Railways’ freight business made a profit of about Rs 44,500 crore, its passenger business incurred a net loss of about Rs 33,000 crore.17 The total passenger revenue during this period was Rs 49,000 crore. This implies that losses in the passenger business are about 67% of its revenue. Therefore, in 2014-15, for every one rupee earned in its passenger business, Indian Railways ended up spending Rs 1.67.
These losses occur across both suburban and non-suburban operations, and are primarily caused due to: (i) passenger fares being lower than the costs, and (ii) concessions to various categories of passengers. According to the NITI Aayog (2016), about 77% to 80% of these losses are contributed by non-suburban operations (long-distance trains). Concessions to various categories of passengers contribute to about 4% of these losses, and the remaining (73-76%) is due to fares being lower than the system costs.
The NITI Aayog (2016) had noted that Railways ends up using profits from its freight business to provide for such losses in the passenger segment, and also to manage its overall financial situation. Such cross-subsidisation has resulted in high freight tariffs. The NTDPC (2014) had noted that, in several countries, passenger fares are either higher or almost equal as freight rates. However, in India, the ratio of passenger fare to freight rate is about 0.3.
Impact of increasing freight rates
The recent freight rationalisation further increases the freight rates for certain key commodities by 8.75%, with an intention to improve passenger amenities. Higher freight tariffs could be counter-productive towards growth of traffic in the segment. The NTDPC report had noted that due to such high tariffs, freight traffic has been moving to other modes of transport. Further, the higher cost of freight segment is eventually passed on to the common public in the form of increased costs of electricity, steel, etc. Various experts have recommended that Railways should consider ways to rationalise freight and passenger tariff distortions in a way to reduce such cross-subsidisation.
For a detailed analysis of Railways revenue and infrastructure, refer to our report on ‘State of Indian Railways’.
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.
