Trade-Offs in Competitive Transport Operations
Abstract
:1. Introduction
2. Literature
2.1. Trade-Offs and Social Impacts of Transportation
2.2. Recognizing Trade-Offs and Challenges
2.3. Trade-Offs for Sustainability
2.4. Competitive Trade-Offs in Transport Operations
3. Research Methodology
- Observation of the overall CPEC routes and the seaports connected to it (www.cpec.gov.pk). An informal discussion is performed with the CPEC officials and the major logistics operators in Pakistan i.e., Costa Logistics, MG Sky Cargo, Akurate Services, Agility, and Silk Goods Transportation.
- To quantify the cost, safety, and profit of each highway route, we adopt the probability density function (PDF) and use the cumulative probability. This is to propose the effective trade-off types in the proposition section. The results are conducted using assistance from a website www.vertex42.com, simulation graphed by Witter in 2004. The results are shown in Appendix A.
- Discussion and calculation on unsafe probabilities of each route are done by taking factors like natural disasters, terrorism (National Counter Terrorism Authority Pakistan, www.nacta.gov.pk), and accidents (National Highway Annual Performance Report, www.ntrc.gov.pk) using Microsoft Excel between the years 2010–2018. These factors were chosen to know the current investment atmosphere after the infrastructure development of the CPEC.
- The important transport factors, such as infrastructure, transport services, logistical technology, and transport policy, are selected from the related literature (Akbar et al. 2019; Rehman et al. 2020). Moreover, the important transport variables (i.e., transport cost, reliability, information, capacity, and route insecurity) are also selected from citations (Mohmand et al. 2017; Ali et al. 2018). The importance of each route of the parallel route system is judged by using three factors, i.e., population density, the total area of cultivation, and the production of four major crops (Bengali 2015).
- Follow up emails, real-time news, and latest updates were kept align to authenticate the interpretations (www.cpecinfo.com).
4. Case Study
4.1. Central Case
4.2. Eastern Case
4.3. Western Case
- The custom posts on seaports or routes are linked with WeBOC (under Pakistan Revenue Automation Private Limited) electronically without any compliance or connectivity issues (Rana 2018). This platform will facilitate the fast movement of cargos across the country (www.weboc.gov.pk).
- The trucking business and transport industry need to be updated by introducing technologies like auto transmission and higher axle load, etc. Pakistan is one of those countries where the ministry for logistics does not exist, and the delay time problem occurs when logistic industry seeks approvals of different ministries. On the other hand, considering the CPEC developments, Pakistan is likely to become a hub of transshipment trade. Hence, the central authority for logistics becomes a need.
- The CPEC routes go through the hilly, mountainous, and hazardous terrains, and thus likely to face driving safety challenges (www.cpec.gov.pk). Hence, there is a need for logistic technologies. The improved Early Warning System (EWS) under the Pakistan Meteorological Department (PMD) (www.pmd.gov.pk) is not as yet installed, which is necessary to the trade and overall sustainable socioeconomic development.
5. Propositions Based on Case Study
- The infrastructure allows imports of much-needed capital goods to enhance economic activity. It allows the small cities and rural regions around the corridor to be well connected, and thus, it will increase job opportunities, education, and ease of doing business.
- The number of services is the logistics services to dominate internationally in the core comparative transportation. It allows the rural and urban regions to involve in learning innovation and technological developments.
- Logistic technology brings ease of doing trade on the CPEC routes. Lower price distortion is one of the viable factors that has an adverse effect. The technology will help in preventing corruption and improve the process by bringing equity among rich and poor people.
- Policy/regulations work in two ways in our case. Pakistan, by trading with comparatively small countries, can enhance transit trade. On the other hand, Pakistan can benefit more while trading with big countries due to comparative small export surplus. The policies of ease of doing business can help industrial growth, and it will also contribute to economic growth. For example, in China, the labor cost is increasing, and manufacturing companies may find it feasible to relocate for more profit.
- Resources are the available factors owned by an operating authority (Amit and Schoemaker 1993). In our cases, they are the present fertile cultivatable area, production of four major crops (wheat, rice, cotton, and sugarcane), and population density of the western, central, and eastern cases, see Table 3. Please note that the mentioned resources are selected based on regions around the CPEC routes. The total provincial capacity is not taken because our study aims to find out the role of the trade-offs in the road transport routes resourced by the aforementioned factors. It is essential to know why cultivation area, crop production, and population are selected as resources in gaining a competitive edge. For example, the relative elasticity of demand can be improved with the help of trading with competitive agricultural products, which can increase the impact on the CV (cost and variety) trade-off. Whereas, the provincial governments (as in the western case) can accomplish their development objectives by offering their low-cost labor and by improving the trade-off assumption of the RV (reliability and volume). This is possible with an increase in the road segments connecting the deprived areas, as it will save time, money, and improve accessibility. However, making more roads can affect the cultivation areas (which are the assets of a country), so one has to see if it can give vital gains in return and the higher level the RV trade-off.
- Capacities are the total agricultural production, routing flexibility, and highway capacities in terms of the number of available road lanes. Resources and capacities are equally important to each other. For example, in the central case, chances of competitive advantage are increased with the help of the trade-offs, enabled by its up-gradation as the shortest highway path. In addition, due to its central location, it has more capacity of route segments to connect with the western and eastern route, which gives a strong trade-off relation among the CR (cost and reliability), the RV (reliability and capacity), and the CV (cost and capacity) to achieve competitive objectives. On the other hand, the eastern case can enhance trade with the big countries by using agricultural expertise and to gain benefits in return, which creates the need to relax the assumption of the RV trade-off (reliability and capacity).
- Attributes are defined as the rerouting flexibility and trading reliability on the central, eastern, and western routes (the parallel route system). The attributes can be improved with the combination of capacities and resources. For example, the central case, due to its central location, can have more routing flexibility due to route segments connected to eastern and western cases, whereas the eastern and western cases will be less flexible with each other during road transportation. Similarly, the reliability also majorly depends on the route safety, Pakistan has been a hub of terrorist attacks which has been improved manifold but not eliminated, see Table A1 in Appendix A. The more the routing reliability can be increased, the more chances there will be to improve the CR in the long run. Another option is to upgrade the roads with more lanes which may pay back sooner or later, but one cannot increase the transport reliability by the existence of road insecurities, since it may increase the permanent indirect cost. In the western case, CR can be positively affected by close coordination between trade policy and route extensions to landlocked countries on its western border. It does not mean that CR will not be positively affected on other routes, but it is rather not a priority need on other routes. In all the cases, it is suggested that the sensitivity of the trade-off, such as RV, can be improved by improving core competency, i.e., production of major crops and delivery flexibility.
6. Conclusions
- Trade-offs are easily adaptable for practicing operational managers.
- The trade-offs, for consistent competitive advantages, are comparatively understandable and straightforward, which foresee the expected compromises for more consistent trade growth.
- Trade-offs must always be seen as a tool towards improvement in operations strategy. Otherwise, we must consider that the trade-offs have been overcome, and there is no room for further trade-offs. At this stage, further investment in resources and capacities may enable the trade-offs again at a higher level of performance.
- Among the corridors’ operations, many sub-operations may find trade-offs as an easier approach than some other operations. For example, the series route system may have less capacity to accommodate trade-offs because of its less re-routing flexibility.
- The recognized trade-offs can be improved or raised using pivot by improving the resources and capacities in the transport corridor, but cannot be eliminated, because it helps to improve the related performance attribute.
- A trade-off in road transport operations differs in two aspects. First is the degree of importance that impacts the operational competitiveness, and the second is the degree of sensitivity that the change in one factor of operation may have a less or more significant effect on the other factors, where the optimal balance among trade-offs play the role.
- In the transportation corridor, some trade-offs are more apparent and strongly governed by recognized resources and capacities than other critical trade-offs.
Author Contributions
Funding
Conflicts of Interest
Appendix A
Sr | Major City Nodes under CPEC | Time Including Delay Time | Un-Safe Factors Disaster, Accidents, Terrorism | Cost | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
(h) | Prob | Mean | Var | Prob | Mean | Var | ($) | Prob | Mean | Var | ||
WESTERN ROUTE | 56.29 | 0.41 | 0.32 | 723 | 0.55 | |||||||
1 | Burhan-D.I.Khan | 11 | 0.34 | 0.34 | 0 | 0.46 | 0.41 | 0.01 | 125 | 0.49 | 0.46 | 0.05 |
2 | D.I.Khan-Zhob | 9.4 | 0.31 | 0.48 | 89 | 0.28 | ||||||
3 | Zhob-Quetta | 11.92 | 0.35 | 0.42 | 144 | 0.6 | ||||||
4 | Quetta-Surab | 9.58 | 0.32 | 0.41 | 93 | 0.3 | ||||||
5 | Surab-Hoshab | 14.28 | 0.39 | 0.24 | 194 | 0.86 | ||||||
6 | Hoshab-Gwadar | 9.16 | 0.31 | 0.44 | 84 | 0.25 | ||||||
CENTRAL ROUTE | 61.5 | 0.91 | 0.11 | 760 | 0.6 | |||||||
1 | Burhan-D.I.Khan (Partial Western Route) | 11.06 | 0.34 | 0.34 | 0 | 0.4 | 0.36 | 0.01 | 125 | 0.49 | 0.46 | 0.1 |
2 | D.I.Khan-Jampur | 10.3 | 0.33 | 0.47 | 109 | 0.39 | ||||||
3 | Jampur-Wangu Hills | 12.56 | 0.36 | 0.49 | 157 | 0.68 | ||||||
4 | Wangu Hills-Khuzdar | 7.46 | 0.29 | 0.22 | 48 | 0.11 | ||||||
5 | Khuzdar-Basima | 7.5 | 0.29 | 0.22 | 49 | 0.11 | ||||||
6 | Basima-Gwadar (Partial Western Route) | 18.14 | 0.44 | 0.33 | 277 | 0.99 | ||||||
EASTERN ROUTE | 112.58 | 0.41 | 0.64 | 948 | 0.84 | |||||||
1 | Peshawar-Islamabad | 50.8 | 0.88 | 0.69 | 0.07 | 0.48 | 0.52 | 0.01 | 112 | 0.41 | 0.61 | 0.06 |
2 | Islamabad-Pindi Bhattian | 73.6 | 0.98 | 0.3 | 150 | 0.64 | ||||||
3 | Pindi Bhattian-Multan | 106.66 | 1 | 0.49 | 161 | 0.7 | ||||||
4 | Multan-Sukkur | 13.14 | 0.37 | 0.55 | 176 | 0.78 | ||||||
5 | Sukkur-Hyderabad | 11.22 | 0.34 | 0.55 | 136 | 0.56 | ||||||
6 | Hyderabad-Karachi | 45.12 | 0.83 | 0.63 | 65 | 0.17 | ||||||
7 | Karachi-Gwadar | 17.9 | 0.45 | 0.63 | 272 | 0.99 |
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Factors | Western Route | Western Reroute 1 |
---|---|---|
Cultivated area (000 ha) | 98 | 76 |
Production 2 (000 tons) | 2938 | 1838 |
Population density (per sq. km of land) | 7430 | 1485 |
Important Factors | Western | Central | Eastern | Outcomes |
---|---|---|---|---|
Infrastructure | CV, CI | CV, CI | CV, RV | Integration |
Transport services | CR, CV | CR, RV, CV | CR, CV | Cooperation |
Logistical technology | CI, RV, RS | CI, RV, RS | CI, RV, RS | Welfare |
Policies/regulations | ALL | ALL | ALL | Growth |
Variables | Eastern Route | Central Route | Western Route |
---|---|---|---|
Cultivated area (000 ha) | 264 | 156 | 98 |
Production 1 (000 tones) | 10,322 | 5829 | 2993 |
Population density (per sq. km of land) | 30,928 | 13,754 | 7430 |
Highway capacity (lanes) 2 | 6 | 2 | 4 |
Routing flexibility (percentage) 3 | 62 | 68 | 43 |
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Akbar, U.; Kumar, A.; Khan, H.; Khan, M.A.; Parvaiz, K.; Oláh, J. Trade-Offs in Competitive Transport Operations. Economies 2020, 8, 56. https://doi.org/10.3390/economies8030056
Akbar U, Kumar A, Khan H, Khan MA, Parvaiz K, Oláh J. Trade-Offs in Competitive Transport Operations. Economies. 2020; 8(3):56. https://doi.org/10.3390/economies8030056
Chicago/Turabian StyleAkbar, Usman, Akash Kumar, Hameed Khan, Muhammad Asif Khan, Khansa Parvaiz, and Judit Oláh. 2020. "Trade-Offs in Competitive Transport Operations" Economies 8, no. 3: 56. https://doi.org/10.3390/economies8030056
APA StyleAkbar, U., Kumar, A., Khan, H., Khan, M. A., Parvaiz, K., & Oláh, J. (2020). Trade-Offs in Competitive Transport Operations. Economies, 8(3), 56. https://doi.org/10.3390/economies8030056