- Open Access
- Total Downloads : 132
- Authors : Dr. Haytham N. Zohny
- Paper ID : IJERTV6IS030388
- Volume & Issue : Volume 06, Issue 03 (March 2017)
- Published (First Online): 23-03-2017
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License: This work is licensed under a Creative Commons Attribution 4.0 International License
Evaluating Subsidy in Egyptian Railway Sector
Dr. Haytham N. Zohny
Assistant Professor of Railway Engineering, Public Works Department,
Faculty of Engineering, Ain Shams University Cairo, Egypt
Abstract Subsidy is the most important economic issues that arise when discussing the general budget annually. It is important to minimize the governmental subsidy to Egyptian National Railway (ENR). To attain this aim, three models suggested to estimate the revenue for ENR for long distances passenger, short distances passenger and freight transport services. They are function of operating units (passenger. kilometers) for passenger trains or (ton. kilometers) for freight ones. The subsidy then predicted after estimating the operating costs. Finally, the paper discussed four suggested scenarios to decrease the gap between the revenue and the operating costs
Keywords Operating costs, Egyptian National Railway, Revenue, Subsidy, Standard cost.
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INTRODUCTION
Subsidy is a form of financial aid or support extended to an economic sector. Because of its social and economic benefits, many countries offer subsidies to their railways.
Governmental subsidy to Egyptian National Railway (ENR) is likely to remain significant. It continuously even increases. Any lowering would come from restructuring the way by which the sector operates. Although it is difficult to estimate the continued fiscal implications of the unreformed sector with any precision.
This paper proposes a model to predict the direct subsidy provided to railway sector, as the subsidy is the difference between the revenue and the operating costs, based on the data offered from the financial department of ENR.
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TRANSPORTATION TYPES IN ENR Railways play a valuablet role in carrying both passenger and freight: [1]
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Passenger Transport
ENR divided the passenger transport according to trip distance as follows:
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Short distances (Trip distance < 100 km.hr)
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Long distances (Trip distance > 100 km.hr)
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Freight Transport
Transportation for freight is carried out by two methods:
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Unit trains they carry only one product from the origin to the destination and represent about 85% of the total freight trains number.
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Mixed trains they carry different types of products in one trip and represent about 15% of the total freight trains number.
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COSTS DEFINITIONS
Generally, costs are classified into rail network infrastructure, train operations, and corporate overheads.
Costs for the railway infrastructure network include: costs for track, engineering structures such as bridges and tunnels, train signaling, communications systems, power supply in electrified sections, and terminal infrastructure.
Train operating costs include: diesel fuel or electrical energy, locomotive capital depreciation or leasing cost, locomotive maintenance, labors, rolling stock wagons or railcars depreciation or leasing cost, and rolling stock maintenance.
Corporate overhead costs: These include most railway headquarters functions such as Board and executive management, finance, legal, security, and personnel functions.
Costs can be divided into Fixed and variable costs.
Fixed costs are those that do not directly change with service levels in the short and medium term.
Variable costs are those where the cost of the function is dependent on the volume of activity.
Standard costs are realistic estimates of costs based on analyses of both past and projected costs and operating conditions.
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OPERATING COSTS CALCULATION
The following models will be used to calculate operating costs for the three transport types from [1]:
For long distances passenger:
Ct = 0.0027*PL2 + 11.108*PL + 652920
where: PL- no. of (pass. Km) for long distances in millions, C
costs in thousand
For short distances passenger:
Ct=.0023*PS2 +11.823*PS + 426341
where: PS no. of (pass. Km) for short distances in millions, C
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costs in thousand L.E
For freight transport:
Ct = 0.0071*F2 + 213.434*F + 29250
where: F no. of (Ton. Km) for freight in millions, C-costs in thousand L.E
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ESTIMATING REVENUE
Revenue is due to one of the following sources as shown in table (1):
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Revenue from passenger traffic (short and long services)
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Revenue from freight traffic
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Miscellaneous revenue from non-transport traffic
The following methodology was applied to estimate revenue and deriving equations for each service linking revenue as function of operating units:
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Pass.km (for long and short distances passenger services)
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Ton.km (for freight transport services)
Firstly, revenue elements will be classified into variable and fixed as shown in table (1).
Table (1): Revenue elements according to UAS for ENR
ITEM
Revenue Elements
Variable/Fixed
(1)
Sold services
Variable
Internal artifacts
Variable
Operation revenue for other
Variable
Freight transport revenue
Variable
(2)
Other subsidies
Fixed
(3)
Financial investments
Fixed
(4)
Miscellaneous revenue
Fixed
Corporate profits
Fixed
Operating surplus
Fixed
Source: ENR (financial department) final account
Secondly, applying this classification on the three services as shown in tables (2), (3) and (4)
Thirdly, for variable revenue (which depends on the operating units) revenue equations were developed by the use of regression analysis as shown in fig. (1), fig. (2) and fig. (3)
For long distances passenger:
Y= 54.63*X + 3225.2 (R2 = 0.9515)
where: Y = Variable Revenue in thousand L.E & X = (pass. Km) for long distances in millions.
For short distances passenger:
Y= 51.968*X + 23436 (R2 = 0.9175)
where: Y = Variable Revenue in thousand L.E & X = (pass. Km) for long distances in millions.
For freight transport:
Y= 122.46*X + 5918.5 (R2 = 0.9861)
where: Y = Variable Revenue in thousand L.E & X = (Ton. Km) for freight in millions.
For fixed revenue (which independent on the volume of traffic will be proposed as the average of revenue within 2008- 2009 to 2014-2015 and then they were added as the model constants.
Figure (1): Variable revenue as a function of the pass.km for long distances passenger
Figure (2): Variable revenue as a function of the pass.km for short distances passenger
Figure (3): Variable revenue as a function of the Ton.km for freight transport
Finally, models for revenue can be obtained for the three services as following:
For long distances passenger:
RL = 54.634*PL+ 154648.20 .. (R2=0.9515)
where: PL- no of (pass. Km) for long distances in millions, RL Revenue for long distances passenger services in thousand L.E
For short distances passenger:
RS = 51.968*PS+ 125223 (R2=0.9175)
where: PL- no of (pass. Km) for long distances in millions, RS
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Reveue for short distances passenger services in thousand L.E
For freight transport:
RF = 122.46*F+ 183447.50 (R2=0.9862)
where: F- no of (Ton. Km) for freight transport in millions, RF
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Revenue for freight transport in thousand L.E
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SUBSIDY PREDICTIONS
The difference between costs and revenues represent the fiscal deficit needs to be paid annually from the government, that we named subsidy.
Predict the subsidy in the future required estimating the costs and revenues in future for each service. Revenues were predicted with assuming that (Stability of tariffs, and Independent on the inflation rate).
Table (5), (6), (7) shows the estimated revenue and subsidy from (2015/2016) to (2019/2020) and Fig. (4) shows the Predicted annual costs, revenue and subsidy from (2015-2016) to (2019-2020) for Railway sector
Figure (4): Predicted annual costs, revenue and subsidy from (2014-2015) to (2019-2020) for Railway sector
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REDUCTION OF SUBSIDY
Factors affecting the value of subsidy can be summarized as follows [2]:
-
Transportation costs, whether fixed or variable
-
Transport tariffs as main sources of revenue
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Social and economic conditions
Four alternatives in the three services were applied:
Alternative (1): Increase the tariffs with annual percentage to reach to the balance between the cost and revenue during five years.
Alternative (2): Increase the tariffs with annual percentage to reach to the balance between the cost and revenue during ten years.
Alternative (3): Decrease the cost (standard costs) to try to reach to the balance between the cost and revenue.
Alternative (4): Increase the tariffs with annual percentage and decrease the costs (standard costs) to reach to the balance between the cost and revenue during five years.
Tables (8), (10) and (12) shows the applying of the four alternatives in the three services, while tables (9), (11) and
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shows the average proposed tariffs
NOTE: After reaching to the balance between costs and revenue the annual increase will be equal to the special inflation rates in costs.
Table (2): Revenue classified as variable and fixed in thousand L.E for long distances passenger from 2008-09 to 2014-15
Revenue
2008-09
2009-10
2010-11
2011-12
2012-13
2013-14
2014-15
Variable
784290
833748
1648177
876300
793144
375712
1055215
Fixed
176068
292855
186829
105354
73699
73735
119613
Table (3): Revenue classified as variable and fixed in thousand L.E for short distances passenger from 2008-09 to 2014-15
Revenue
2008-09
2009-10
2010-11
2011-12
2012-13
2013-14
2014-15
Variable
744590
843452
615794
570739
673365
547240
675831
Fixed
123869
115237
181456
88565
43055
58538
112430
Table (4): Revenue classified as variable and fixed in thousand L.E for freight transport from 2008-09 to 2014-15
Revenue
2008-09
2009-10
2010-11
2011-12
2012-13
2013-14
2014-15
Variable
200011
245550
229652
179510
156876
178906
326112
Fixed
683255
134221
136594
59708
33266
18130
193966
Table (5): Estimated cost, revenue and subsidy for long distances passenger service in thousand L.E from 2015/2016 to 2019/2020
Item
Fiscal year
Cost
Revenue
Subsidy
2015/16
2631077
1229353
1401723
2016/17
2820936
1283878
1537058
2017/18
3010184
1338403
1671781
2018/19
3198431
1392927
1805503
2019/2020
3385286
1447452
1937833
Table (6): Estimated cost, revenue and subsidy for short distances passenger service in thousand L.E from 2015/2016 to 2019/2020
Item
Fiscal year
Cost
Revenue
Subsidy
2015/16
2027428
802098
1225329
2016/17
2190402
822580
1367821
2017/18
2360416
849707
1510709
2018/19
2538549
883478
1655071
2019/2020
2725928
923893
1802035
Table (7): Estimated cost, revenue and subsidy for freight transport service in thousand L.E from 2015/2016 to 2019/2020
Item
Fiscal year
Cost
Revenue
Subsidy
2015/16
809566
542935
266631
2016/17
869412
565792
303620
2017/18
929177
588649
340528
2018/19
988733
611506
377227
2019/2020
1047953
634364
413590
Table (8): Proposed some alternatives to stop subsidy during certain period for long distances passenger
Fiscal year
Item
2015/16
2016/17
2017/18
2018/19
2019/20
Cost (103 L.E)
2631077
2820936
3010184
3198431
3385286
Revenue (103 L.E)>
1229354
1283878
1338403
1392928
1447453
Subsidy (103 L.E)
1401723
1537058
1671781
1805503
1937833
Alternative (1)
Percentage of increase in tariffs
27%
27%
27%
27%
27%
Modified Revenue
1561279
1977173
2422510
2897290
3401513
Modified Subsidy
1069798
843764
587675
301141
-16228
Alternative (2)
Percentage of increase in tariffs
15%
15%
15%
15%
15%
Modified Revenue
1413757
1669042
1940684
2228684
2533042
Modified Subsidy
1217320
1151894
1069500
969746
852244
Alternative (3)
*Standard Costs
1650722
1782167
1918703
2062492
2218114
Modified Subsidy
421368
498288
580300
669565
770662
Alternative (4)
*Standard Costs
1650722
1782167
1918703
2062492
2218114
Percentage of increase in tariffs
12%
12%
12%
12%
12%
Modified Revenue
1376876
1592009
1820228
2061533
2315924
Modified Subsidy
273846
190158
98474
959
-97810
*Source: [3]
Table (9): Proposed tariffs in L.E/pass.km according to the four alternatives for long distances passenger
Fiscal year
Alternatives
2015/2016
2016/2017
2017/2018
2018/2019
2019/2020
(1)
0.0675
0.0864
0.0992
0.1139
0.1287
(2)
0.0630
0.0712
0.0794
0.0876
0.0958
(3)
0.0538
0.0537
0.0536
0.0536
0.0535
(4)
0.0753
0.0771
0.0790
0.0811
0.0835
Table (10): Proposed some alternatives to stop subsidy during certain period for short distances passenger
Fiscal year
Item
2015/16
2016/17
2017/18
2018/19
2019/20
Cost (103 L.E)
2027428
2190402
2360416
2538549
2725928
Revenue (103 L.E)
802098
822580
849707
883478
923893
Subsidy (103 L.E)
1225329
1367821
1510709
1655071
1802035
Alternative (1)
Percentage of increase in tariffs
39%
39%
39%
39%
39%
Modified Revenue
1116521
1467483
1848962
2268771
2734724
Modified Subsidy
910907
722918
511454
269778
-8795
Alternative (2)
Percentage of increase in tariffs
22%
22%
22%
22%
22%
Modified Revenue
978560
1184516
1410513
1660938
1940176
Modified Subsidy
1048868
1005886
949903
877611
785753
Alternative (3)
*Standard Costs
1607782
1670828
1728808
1786146
1846339
Modified Subsidy
805684
848247
879101
902668
922446
Alternative (4)
*Standard Costs
1607782
1670828
1728808
1786146
1846339
Percentage of increase in tariffs
20%
20%
20%
20%
20%
Modified Revenue
962518
1151612
1359531
1590260
1847786
Modified Subsidy
645264
519215
369277
195886
-1447
*Source:[3]
Table (11): Proposed tariffs in L.E/pass.km according to the four alternatives for short distances passenger
Fiscal year
Alternatives
2015/2016
2016/2017
2017/2018
2018/2019
2019/2020
(1)
0.0748
0.0958
0.1167
0.1376
0.1583
(2)
0.0656
0.0773
0.0891
0.1007
0.1123
(3)
0.0538
0.0537
0.0536
0.0536
0.0535
(4)
0.0645
0.0752
0.0858
0.0964
0.1070
Table (12): Proposed some alternatives to stop subsidy during certain period for freight transport
Fiscal year
Item
2015/16
2016/17
2017/18
2018/19
2019/20
Cost (103 L.E)
809566
869412
929177
988733
1047953
Revenue (103 L.E)
542935
565792
588649
611506
634364
Subsidy (103 L.E)
266631
303620
340528
377227
413590
Alternative (1)
Percentage of increase in tariffs
15%
15%
15%
15%
15%
Modified Revenue
624375
735530
853541
978410
1110136
Modified Subsidy
185191
133882
75635
10323
-62183
Alternative (2)
Percentage of increase in tariffs
8%
8%
8%
8%
8%
Modified Revenue
586370
656319
729925
807188
888109
Modified Subsidy
223196
213093
199252
181545
159844
Alternative (3)
*Standard Costs
647726
694926
742142
789269
836178
Modified Subsidy
104791
129134
153493
177763
201814
Alternative (4)
*Standard Costs
647726
694926
742142
789269
836178
Percentage of increase in tariffs
8%
8%
8%
8%
8%
Modified Revenue
586370
656319
729925
807188
888109
Modified Subsidy
61356
38608
12217
-17919
-51931
*Source: [3]
Table (13): Proposed tariffs in L.E/ton.km according to the four alternatives for freight transport
Fiscal year
Alternatives
2015/2016
2016/2017
2017/2018
2018/2019
2019/2020
(1)
0.1431
0.1617
0.1802
0.1986
0.2171
(2)
0.1344
0.1443
0.1541
0.1639
0.1737
(3)
0.1245
0.1244
0.1242
0.1242
0.1241
(4)
0.1344
0.1443
0.1541
0.1639
0.1737
Table (14) summarize the results of applying the four proposed alternatives to decrease the gap between the costs and revenue in ENR
Table (14): Percentage of decreasing subsidy from (2015-2016) to (2019-2020) for Railway sector to the four alternatives
Fiscal year
Alternatives
2015/2016
2016/2017
2017/2018
2018/2019
2019/2020
(1)
26%
49%
70%
88%
100%
(2)
14.5%
27%
38%
48%
58%
(3)
55%
54.3%
54%
53.7%
53.4%
(4)
68%
79%
89%
97%
100%
-
-
CONCLUSION
Reaching to the balance between the costs and revenue, the tariffs will be recommended in such case that the actual costs should be equal to the revenue taking into consideration the special costs inflation rate for each service from studying the four-proposed alternative we can conclude that the most appropriate one is to reduce the actual costs to standard costs
Decrease the gap between the costs and revenues needs to take some action such as:
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Increase revenues through increased the transport tariffs during a certain period but, taking into consideration Social and economic conditions and competition other transport means.
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Rationalize of costs in order to try to get to the standard costs (The great deviation between the actual costs and standard ones is due to: extravagant in the used materials, using redundant labor, more than the required, and uneconomical use of available energies as well as neglecting both track and rolling stock maintenance).
-
Reduce some of the ticket exceptions.
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Increase revenues due to the club, hospital and advertising in the stations and inside trains.
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REFERENCES
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H. S. Riad, H. N. Zohny, W. M. Ibrahim, M. N. E. M. Younes, Estimate Capital and Operating Costs for Railway Transportation in the Arab Republic of Egypt, International Journal Of Modern Engineering Research (IJMER), Vol. 5 , Iss. 4, Apr. 2015
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Hand book of Social and Economic Development Group (The World Bank), Restructuring Egypts Railways Egypt Public Expenditure Review, August, 2005
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S. Yehia, H. S. Riad, H. N. E. Zohny, W. M. Ibrahim, "Railway Standard Costs in Arab Republic of Egypt" Master of Science Thesis, Public works department ,Ain shams University , Cairo, Egypt , December, 2014