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Conclusions and Future Work

Dalam dokumen Part 1: Regional Developments and Performance (Halaman 104-108)

ENVIRONMENT

7. Conclusions and Future Work

shift their operations to provinces which are far away from Hong Kong, including west part of Pan-PRD and other inland provinces. If PTEs move to lower cost countries in Asia, HKP will lose geographical proximity to cargo source. At most, it will intercept some transshipment cargo from nearby lower cost countries in Asia. Relocation to near major markets would happen when oil price stays at very high levels, which will greatly discourage global trade. HKP development, along with other ports in Asia, would become very pessimistic in this scenario.

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88 A. Zhang and G. Q. Huang

$37.5 per barrel or below, Inland of China may become most cost effective.

If oil price persists at very high level of $300 or above, locations near major markets will become most preferred. Last, implications of potential relocation trends on HKP development are discussed. Relocation of PTEs to western Guangdong will be slightly favorable. Relocation to northern and eastern Guangdong will be slightly unfavorable. Relocation to Pan-PRD will be modestly unfavorable. Most unfavorable trends are the relocations of PTEs to other inland provinces of China, lower cost countries in Asia and near major markets.

The research is limited in several areas. First, the modeling work uses a footwear PTE for case study. Modeling results are expected to be valid in general as footwear is a typical labor-intensive processing trade product in the PRD region. However, due to differences on cost structures and freight- intensiveness, other products may have different critical levels in factors to trigger various relocation trends. Second, the MIP model focuses on the effect of four key factors. A real life manufacturing relocation decision usually involves more factors. Third, potential relocation trends are subject to uncertainties. It is not impossible that unexpected factors would alter the potential relocation trends. Last, implications on the HKP development are based on the current situation of the port and neighboring mainland ports. The changing port competition dynamics in the region may lead to different prospects.

Future work on the subject is to derive policy responses for the HKP development. This will be of practical benefits to the port and the economy of Hong Kong. As the logistics industry of Hong Kong is twinned together with the trading industry, further study on trading industry of Hong Kong will be required. Port competition from mainland ports has diverted a large portion of cargo from the HKP. Future work will include a detailed comparative study on the advantages and disadvantages of ports in the territory.

References

1. Census and Statistics Department (2009). The Situation of the Four Key Industries in the Hong Kong Economy in 2007.Hong Kong Monthly Digest of Statistics.Hong Kong: Census and Statistics Department, The Government of Hong Kong SAR, FB0-FB16.

2. Cheung, R., Shi, N., Powell, W. and Simao, H. (2008). An attribute-decision model for cross-border drayage problem,Transportation Research. Part E, Logistics & Transportation Review, 44(2), pp. 217–234.

3. Cohen, M.A. and Lee, H.L. (1989). Resource deployment analysis of global manufacturing and distribution networks, Journal of Manufacturing and Operations Management, 2, pp. 81–104.

4. Cullinane, K., Fei, W.T. and Cullinane, S. (2004). Container terminal development in Mainland China and its impact on the competitiveness of the port of Hong Kong, Transport Reviews, 24(1), pp. 33–56.

5. Fung, M.K. (2002). Forecasting Hong Kong’s container throughput: an error- correction model,Journal of Forecasting, 21(1), pp. 69–80.

6. Fung, M.K., Cheng, L.K. and Qiu, L.D. (2003). The impact of terminal han- dling charges on overall shipping charges: an empirical study,Transportation Research Part A — Policy and Practice, 37(8), pp. 703–716.

7. GPRD Business Council (2006). Report on Guangdong’s industrial restruc- turing — opportunities and challenges for Hong Kong. Hong Kong: The Greater Pearl River Delta Business Council.

8. GPRD Business Council (2007a). The Greater Pearl River Delta Business Council 2006/2007 Annual Report. Hong Kong: The Greater Pearl River Delta Business Council.

9. GPRD Business Council (2007b).Implications of Mainland Processing Trade Policy on Hong Kong. Hong Kong: The Greater Pearl River Delta Business Council.

10. HKTDC (2007a). Cost escalation and trends for export price increase — A look at the rising production costs in the PRD. Hong Kong: Hong Kong Trade Development Council.

11. HKTDC (2007b). Relocating processing trade from PRD — An assessment of alternative destinations on the mainland. Hong Kong: Hong Kong Trade Development Council.

12. HKTDC (2008a). Latest development and strategies of Hong Kong compa- nies’ processing trade business in the Pearl River Delta. Hong Kong: Hong Kong Trade Development Council.

13. HKTDC (2008b). Upward pressure on export prices mounting but com- petitiveness maintained. Hong Kong: Hong Kong Trade Development Council.

14. Hodder, J.E. and Jucker, J.V. (1985). International plant location under price and exchange rate uncertainty. Engineering Costs and Production Economics, 9(1–3), pp. 225–229.

15. Hong Kong SAR Government (2009). Transport.Hong Kong Yearbook 2008.

Hong Kong: Hong Kong SAR Government.

16. Hui, E.C.M., Seabrooke, W. and Wong, G.K.C. (2004). Forecasting cargo throughput for the port of Hong Kong: error correction model approach, Journal of Urban Planning and Development-ASCE, 130(4), pp. 195–203.

17. Lam, W.H.K., Ng, P.L.P., Seabrooke, W. and Hui, E.C.M. (2004). Forecasts and reliability analysis of port cargo throughput in Hong Kong,Journal of Urban Planning and Development, 130(3), pp. 133–144.

18. Lin, W. (2008). Towards the upliftment of the Hong Kong port. Shippers Today. Hong Kong.

June 14, 2011 11:46 9in x 6in Advances in Maritime Logistics & Supply . . . b1185-ch03

90 A. Zhang and G. Q. Huang

19. Loo, B.P.Y. and Hook, B. (2002). Interplay of international, national and local factors in shaping container port development: a case study of Hong Kong,Transport Reviews, 22(2), pp. 219–245.

20. Marine Department (2009).Ranking of Container Ports of the World.Hong Kong: The Government of the Hong Kong SAR.

21. Meixell, M.J. and Gargeya, V.B. (2005). Global supply chain design: a litera- ture review and critique,Transportation Research Part E, 41, pp. 531–550.

22. Melo, M.T., Nickel, S. and Saldanha-da-Gama, F. (2009). Facility location and supply chain management — A review,European Journal of Operational Research, 196(2), pp. 401–412.

23. Mohamed, Z.M. (1999). An integrated production-distribution model for a multinational company operating under varying exchange rates, Interna- tional Journal of Production Economics, 58(1), pp. 81–92.

24. Mohamed, Z.M. and Youssef, M.A. (2004). A production, distribution and investment model for a multinational company, Journal of Manufacturing Technology Management, 15(6), pp. 495–510.

25. Pontrandolfo, P. and Okogbaa, O.G. (1999). Global manufacturing: a review and a framework for planning in a global corporation,International Journal of Production Research, 37(1), pp. 1–19.

26. Robinson, R. (1998). Asian hub/feeder nets: the dynamics of restructuring, Maritime Policy and Management, 25, pp. 21–40.

27. Rubin, J. and Tal, B. (2008). Will Soaring Transport Costs Reverse Globalization?Toronto: CIBC World Markets Inc.

28. Seabrooke, W., Hui, E.C.M., Lam, W.H.K. and Wong, G.K.C. (2003).

Forecasting cargo growth and regional role of the port of Hong Kong.Cities, 20(1), pp. 51–64.

29. Vidal, C.J. and Goetschalckx, M. (1997). Strategic production-distribution models: a critical review with emphasis on global supply chain models, European Journal of Operational Research, 98, pp. 1–18.

30. Vidal, C.J. and Goetschalckx, M. (2000). Modeling the effect of uncertainties on global logistics systems,Journal of Business Logistics, 21(1), pp. 95–120.

31. Wilhelm, W., Liang, D., Rao, B., Warrier, D., Zhu, X. and Bulusu, S. (2005).

Design of international assembly systems and their supply chains under NAFTA.Transportation Research Part E, 41, pp. 467–493.

32. Wong, W.G., Han, B.M., Ferreira, L. and Zhu, X.N. (2001). Factors influencing container transport: a fuzzy number-based distribution model approach,Transportation Planning and Technology, 24(3), pp. 171–183.

33. Yap, W.Y. and Lam, J.S.L. (2006). Competition dynamics between container ports in East Asia,Transportation Research Part A — Policy and Practice, 40(1), pp. 35–51.

34. Yap, W.Y., Lam, J.S.L. and Notteboom, T. (2006). Developments in container port competition in East Asia,Transport Reviews, 26(2), pp. 167–188.

35. Zhang, A. and Huang, G.Q. (2009). A Mixed Integer Programming Model to Evaluate the Impact of Business Factors on Global Manufacturing Relocation Decisions. Proceedings of 39th International Conference on Computers & Industrial Engineering. Troyes, France, pp. 390–395.

CHAPTER 4

MODELS FOR PORT

Dalam dokumen Part 1: Regional Developments and Performance (Halaman 104-108)