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Frontiers of Engineering Management

ISSN 2095-7513

ISSN 2096-0255(Online)

CN 10-1205/N

邮发代号 80-905

Frontiers of Engineering Management  2017, Vol. 4 Issue (4): 463-482   https://doi.org/10.15302/J-FEM-2017054
  本期目录
Value and governance of high-speed railway
Xiaoyan LIN(), Zehua ZHANG, Meng WANG
School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
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Abstract

This paper considers multiple perspectives to explore the concept of high-speed railway (HSR), rationally abstract its value formation mechanism, and quantitatively measure its actual performance. This paper analyzes the governance potential of major countries in the high-speed railway value chain and studies the feasible ways and development strategies to enhance the high-speed railway governance in China. Findings of this paper are as follows. First, the government, as the early manager of high-speed railway governance, has given way to Siemens and other integrated enterprises. Second, the high-speed railway standard output has become the core competitiveness that embodies high-speed railway. Third, the global high-speed railway market presents a hierarchical high-speed railway governance model and changes to a modular approach to governance.

Key wordshigh-speed railway value    communication value    high-speed railway value governance    governance path upgrade
收稿日期: 2017-07-02      出版日期: 2017-12-14
Corresponding Author(s): Xiaoyan LIN   
 引用本文:   
. [J]. Frontiers of Engineering Management, 2017, 4(4): 463-482.
Xiaoyan LIN, Zehua ZHANG, Meng WANG. Value and governance of high-speed railway. Front. Eng, 2017, 4(4): 463-482.
 链接本文:  
https://academic.hep.com.cn/fem/CN/10.15302/J-FEM-2017054
https://academic.hep.com.cn/fem/CN/Y2017/V4/I4/463
Compare itemsLabor theory of valueNeoclassical theory of valueSraffa’s theory of value
Representative personDavid Ricardo, Karl Heinrich MarxMarshallPiero Sraffa
Research purposesIn addition to reflecting the values of the people, the fundamental purpose of this theory is to reveal the most essential laws of the operation of the capitalist economy, analyze the inherent contradictions of capitalism, and explain the inevitable causes of capitalismThis theory aims to study the efficient rather than fair allocation of resources and improvement of the welfare of the participants in the market rather than discussing class antagonism. The theory is exploited by the bourgeoisie and becomes a defense tool for them because the theory itself avoids a few of the problemsThis theory aims to restore the theoretical study of labor theory of value based on the criticism of marginal analysis method
Essence of valueThe value reflects indiscriminate human labor that condenses in the commodity. The two goods can be exchanged with each other because they have the same social labor time necessaryThe value of the commodity is simultaneously determined by supply and demand. The value considers not only the power of demand but also the extent of the scarcity of goods and other factorsThe value reflects the proportional relationship between a commodity and another commodity exchange when the economy is balanced, and this ratio is determined by technology, labor, and capital. However, labor is not an indispensable factor
Relationship between value and priceValue and price are two different concepts. Value is the basis of price, while price is the form of value. Value determines the price, and price fluctuates around the valueValue is equal to price
Quantitative form of valueSocial labor time necessary is the measure of value quantification considering the supply and demand factors.Marshall first finds the supply and demand according to a few necessary conditions and then directly analyzes the value of the decision.The amount of value is determined by a series of simultaneous input-output equations. The left side of the equation is the input and the right side is the output. The power of demand is not considered.
Tab.1  
Fig.1  
ProcessElementsStatus
Creation processLaborSource
Technology, capital, and other elementsNecessary condition
ManifestationsTime and space valueCornerstone
Value of communicationConversion hub
Employment value, ecological value, and other value formsEssential demand
Tab.2  
Corporate value chain“Fragment” value chainGlobal commodity chainGlobal value chain
CharacteristicPorter first analyzed the links between the basic and ancillary activities of a single company and later extended to the companyKaput analyzes the “fragmented” production network, thereby resulting in a global distribution of value across regionsTo the product-centric global production organization system researchA study of value added and value chain coordination by global production organizations connected by products or services
Tab.3  
Fig.2  
Fig.3  
Fig.4  
Fig.5  
First level indicatorsSecond level indicatorsExplanation of indicators
Condition of assetsTotal assetsAbsolute size of the enterprise
Asset-liability ratioReflect the corporate liability situation
Market performanceSales revenue in the railway sectorReflect the power of market competence
Per capita sales revenueReflect the income level
Market distributionReflect the global allocation of HSR
Market demandNew adding order amountReflect the condition of future market
Human resource inputAmount of staffReflect the total workers of railway industry
ProfitabilityNet profitsReflect the profitability
Profits of per capitaEqual to total profit/worker number
TechniqueIntangible assetsReflect the patent, intellectual property can be standardized
Intangible assets ratioIntangible assets / total assets
Number of patents that can be retrievedReflect the development level of governance standards
R&DR&D inputReflect the capability to occupy the upper reaches of the value chain
R&D investment intensityR&D investment/sales
InternationalizationOutput country/regionReflect its standard output
Number of overseas institutionsForeign branch, the number of R&D institutions
External benefitGovernment subsidiesReflect the high-speed railway enterprises to capture the external rent from the government
Tab.4  
SiemensAlstomKHICRRC
1.42778- 0.3728- 0.89215- 0.16283
- 0.402171.182150.36387- 1.14385
1.43304- 0.6866- 0.6866- 0.05985
- 0.37484- 0.36388- 0.738391.47711
0.60650.720670.1213- 1.44847
0.507640.55754- 1.498030.43285
0.481070.58797- 1.496660.42762
- 0.472- 0.394941.49306- 0.62612
- 0.55487- 0.633591.4843- 0.29584
1.25268- 0.12865- 1.187520.06349
0.238361.1021- 1.31449- 0.02596
1.45323- 0.48583- 0.78713- 0.18027
1.37334- 0.04571- 1.00334- 0.32429
0.38476- 0.70186- 0.915951.23304
1.4921- 0.35262- 0.56351- 0.57598
1.42257- 0.81076- 0.56261- 0.0492
1.340730.0398- 1.04235- 0.33818
Tab.5  
KMO measureBartlett test
Approximate chi-squareDfSig.
0.677320.175230.000
Tab.6  
InitialExtract
VAR000011.0000.992
VAR000021.0000.844
VAR000031.0000.998
VAR000071.0000.997
VAR000081.0000.957
VAR000091.0000.999
VAR000101.0000.9380
VAR000151.0000.900
VAR000161.0000.994
VAR000171.0000.924
Tab.7  
Initial eigenvaluesExtraction sums of squared loadings
Amount toPCCPVAmount toPCCPV
7.12071.20271.2027.12071.20271.202
1.88518.84790.0491.88518.84790.049
0.9956.95197.000
0.1870.92197.921
0.1620.91498.835
0.0810.62399.457
0.0460.455100.000
Tab.8  
IndicatorW1W2W3W4W5W6
Weight6.93%4.12%6.37%3.42%3.31%6.28%
IndicatorW7W8W9W10W11W12
Weight6.18%6.48%6.25%7.47%4.70%6.69%
IndicatorW13W14W15W16W17
Weight7.08%5.52%6.14%5.94%7.09%
Tab.9  
Fig.6  
Fig.7  
Fig.8  
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