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’.
Sources: Court News, 2006, Supreme Court of India; National Data Judicial Grid accessed on August 7, 2019; PRS.
Overall, the pendency of cases has increased significantly at every level of the judicial hierarchy in the last decade. Between 2006 and now, there has been an overall increase of 22% (64 lakh cases) in the pendency of cases across all courts. As of August 2019, there are over 3.5 crore cases pending across the Supreme Court, the High Courts, and the subordinate courts. Of these, subordinate courts account for over 87.3% pendency of cases, followed by 12.5% pendency before the 24 High Courts. The remaining 0.2% of cases are pending with the Supreme Court. The primary reason for growing pendency of cases is that the number of new cases filed every year has outpaced the number of disposed of cases. This has resulted in a growing backlog of cases.
In High Courts and subordinate courts, over 32 lakh cases pending for over 10 years
Sources: National Data Judicial Grid accessed on August 7, 2019; Court News, 2006-17, Supreme Court of India; PRS.
In the High Courts, over 8.3 lakh cases have been pending for over 10 years. This constitutes 19% of all pending High Court cases. Similarly, in the subordinate courts, over 24 lakh cases (8%) have been pending for over 10 years. Overall, Allahabad High Court had the highest pendency, with over seven lakh cases pending as of 2017.
Despite high pendency, some High Courts have managed to reduce their backlog. Between 2006 and 2017, pendency of cases reduced the most in Madras High Court at a rate of 26%, followed by Bombay High Court at 24%. Conversely, during the same period, the pendency of cases doubled in the Andhra Pradesh High Court, and increased by 2.5 times in Karnataka High Court.
As a result of pendency, number of under-trials in prison is more than double that of convicts
Sources: Prison Statistics in India, 2015, National Crime Record Bureau; PRS.
Over the years, as a result of growing pendency of cases for long periods, the number of undertrials (accused awaiting trial) in prisons has increased. Prisons are running at an over-capacity of 114%. As of 2015, there were over four lakh prisoners in jails. Of these, two-thirds were undertrials (2.8 lakh) and the remaining one-third were convicts.
The highest proportion of undertrials (where the number of inmates was at least over 1,000) were in J&K (85%), followed by Bihar (82%). A total of 3,599 undertrials were detained in jails for more than five years. Uttar Pradesh had the highest number of such undertrials (1,364) followed by West Bengal (294).
One interesting factor to note is that more criminal cases are filed in subordinate courts than in High Courts and Supreme Court. Of the cases pending in the subordinate courts (which constitute 87% of all pending cases), 70% of cases were related to criminal matters. This increase in the pendency of cases for long periods over the years may have directly resulted in an increase in the number of undertrials in prisons. In a statement last year, the Chief Justice of India commented that the accused in criminal cases are getting heard after serving out their sentence.
Vacancies in High Courts and Subordinate Courts affect the disposal of cases
Sources: Court News, 2006-17, Supreme Court of India; PRS.
Vacancy of judges across courts in India has affected the functioning of the judiciary, particularly in relation to the disposal of cases. Between 2006 and 2017, the number of vacancies in the High Courts has increased from 16% to 37%, and in the subordinate courts from 19% to 25%. As of 2017, High Courts have 403 vacancies against a sanctioned strength of 1,079 judges, and subordinate courts have 5,676 vacancies against a sanctioned strength of 22,704 judges. As of 2017, among the major High Courts (with sanctioned strength over 10 judges), the highest proportion of vacancies was in Karnataka High Court at 60% (37 vacancies), followed by Calcutta High Court at 54% (39 vacancies). Similarly, in major subordinate courts (with sanctioned strength over 100 judges), the highest proportion of vacancies was in Bihar High Court at 46% (835 vacancies), followed by Uttar Pradesh High Court at 42% (1,348 vacancies).
