Maritime Economic Logistics

FIGURES AND TABLES

FROM:

Internationalisation and Consolidation of the Container Port Industry: Assessment of Channel Structure and Relationships

Khalid Bichou and Michael G H Bell

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Figure 1.

Variations of predominant channel structures in global shipping and ports.

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Figure 2.

Diagram of conventional SEM process (from Kaplan, 2000).

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Figure 4.

Structural model. Where xi is the vector relating to exogenous latent variables, eta the vector relating to endogenous latent variables, x the vector relating to manifest variables of exogenous latent variables xi, y the vector relating to manifest variables of endogenous latent variables eta, delta the vector of measurement error of x, alt epsilon the vector of measurement error of y, lambda the parameter of directional relation between a latent variable and its indicators, zeta the vector of errors in the equations (disturbance terms) corresponding to endogenous latent variables eta, beta the parameter of directional relation between two endogenous latent variables, bold italic gamma the parameter of directional relation between an endogenous and exogenous latent variable, phi the parameter of non-directional relation (covariance) between two latent variables, Gamma the (m times n) matrix of structural coefficients between exogenous latent variables and endogenous latent variables, Â the (m times n) matrix of structural coefficients between endogenous latent variables, Phi the (n times n) matrix of variances and co-variances between exogenous latent variables, Psi the (m times 1) matrix of residual variances and co-variances of the endogenous latent variables, Lambdax the (p times m) matrix of factor loading for the x variables, Lambday the (q times n) matrix of factor loading for the y variables, Thetadelta the (p times p) matrix of measurement error variances and co-variances of the x variables, Thetaalt epsilon the (q times q) matrix of measurement error variances and co-variances of the y variables, Thetaalt epsilondelta the (q times p) matrix of measurement error co-variances between the x variables and the y variables, m the number of endogenous latent variables eta, n the number of exogenous latent variables xi, p the number of the x variables, q the number of the y variables.

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Figure 5.

Results of the causal model.

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