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Economic and environmental impact of transport sector on Europe economy

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Abstract

Transport sector plays an important role in today economy and society by connecting people, businesses and resources. Efficient and effective transport facilitates the free flow of people, goods and services, and contributes to the productivity in all other sectors in the economy. Over the past 60 years, European Union (EU) transport sector has improved and contributed significantly to EU economy. In Europe, transport sector accounts for about 5% of gross domestic product (GDP) and more than ten million people are directly employed in 1.1 million transport companies (European Commission, EU transport in figures—Statistical pocketbook, 2012). However, transport sector does have fundamental environmental impacts on air, land, water, ecosystem and human health. In EU transport sector is responsible for around a quarter of greenhouse gas (GHG) emissions, making it the second biggest GHG emitting sectors after energy. In this paper, our objective is twofold. Firstly, our aim is to present an approach to look into the relation between transport sector and the economic system as a whole, based on the quantification of the impact of the “transport sector output” on total output and income. We compare the economic impact of the production of different types of transport industries, observed in the European countries. Secondly, we present an approach that allows to examine and identify the role, or impact of the transport sector responsible for CO2 emissions in the European countries. Our approach shows the contribution of transport sector to CO2 emissions both from demand and supply perspective. The comparative analysis is performed among four European countries which make up the large portion of the European GDP: France, Italy, Germany and United Kingdom (UK).

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Notes

  1. The details of the 35 industries is illustrated in the “Appendix A”, Table A1.

  2. Market shares and technical coefficients for the selected countries are displayed in “Appendix A” and Figures 3, 4, 5, 6, 7, 8, 9, 10.

  3. From this consideration matrices \( {\mathbf{U}}, \;{\mathbf{S}} {\text{and}} {\mathbf{V}} \) can be easily shown working on Eq. (8). Further premultiplying matrix \( {\mathbf{R}} \) by its transpose \( {\mathbf{R}}^{\text{T}} \) one obtain

    \( {\mathbf{R}}^{{\mathbf{T}}} {\mathbf{R}} = [{\mathbf{USV}}^{{\mathbf{T}}} ]^{{\mathbf{T}}} {\mathbf{USV}}^{{\mathbf{T}}} = {\mathbf{VS}}^{2} {\mathbf{V}}^{{\mathbf{T}}} \) The columns of matrix \( {\mathbf{V}} \) are the set of orthonormal eigenvectors of the real symmetric matrix \( {\mathbf{R}}^{{\mathbf{T}}} .{\mathbf{R}} \) and that the elements of the diagonal matrix \( {\mathbf{S}} \) are the square roots of the eigenvalues of matrix\( {\mathbf{R}}^{{\mathbf{T}}} \cdot {\mathbf{R}} \), that is \( {\mathbf{s}}_{{\mathbf{j}}} = \sqrt {\lambda_{i} ({\mathbf{R}}^{{\mathbf{T}}} \cdot {\mathbf{R}})} \). By post multiplying matrix \( {\mathbf{R}} \) by its transpose one obtains \( {\mathbf{R}} {\mathbf{R}}^{{\mathbf{T}}} = {\mathbf{USV}}^{{\mathbf{T}}} [{\mathbf{USV}}^{{\mathbf{T}}} ]^{{\mathbf{T}}} = {\mathbf{US}}^{2} {\mathbf{U}}^{{\mathbf{T}}} , \) where the columns of matrix \( {\mathbf{U}} \) are the set of orthonormal eigenvectors of the real symmetric matrix \( {\mathbf{R}} \cdot {\mathbf{R}}^{{\mathbf{T}}} \) and the elements of the diagonal matrix \( {\mathbf{S}} \) are the square roots of the eigenvalues of matrix\( {\mathbf{R}} {\mathbf{R}}^{{\mathbf{T}}} \). It is worthwhile to mention that the square matrices \( {\mathbf{R}} \cdot {\mathbf{R}}^{{\mathbf{T}}} \)and \( {\mathbf{R}}^{{\mathbf{T}}} \cdot {\mathbf{R}} \) have the same set of eigenvalues.

  4. The policy control structure V 1 and the structure of policy objective 1 for Germany are shown in Figs. 11 and 12 in Fig. 12 in the “Appendix B”.

  5. Second set highly stimulated industries are: 23, 24, 20, 21, 17, 12, 8, 3, 1.

  6. The policy control structure \( V_{1} \) aggregated value is 100 and is determined in terms of its modulus \( V_{1} \).

  7. The direct CO2 emissions data for each country obtained from (http://www.WIOD.org).

References

  • Ali Y (2015) Measuring CO2 emission linkages with the hypothetical extraction method (HEM). Ecol Ind 54:171–183

    Article  Google Scholar 

  • Ali Y, Ciaschini M, Pretaroli R, Socci C (2015) Measuring the economic landscape of Italy: target efficiency and control effectiveness. Economia e Politica Industriale 42(3):297–321

    Article  Google Scholar 

  • Ali Y et al (2017) An analysis of CO2 emissions in Italy through the macro multiplier (MM) approach. J Clean Prod 149:238

    Article  Google Scholar 

  • Chenery H, Watanabe T (1958) International comparisons of the structure of production. Econometrica 26(4):487–521

    Article  Google Scholar 

  • Ciaschini M, Socci C (2004) Macro Multipliers approach to output generation and income distribution in a social accounting framework. Department of Economics, University of Macerata, Macerata

    Google Scholar 

  • Ciaschini M, Socci C (2006) Income distribution and output change: a macro multiplier approach. Economic growth and distribution, p 247

  • Ciaschini M, Socci C (2007) Final demand impact on output: a macro multiplier approach. J Policy Model 29:115–132

    Article  Google Scholar 

  • Ciaschini M, Socci C, Pritaroli RI (2009) A convenient multisectoral policy control for ICT in the US economy. Metroeconomica 60:660–685

    Article  Google Scholar 

  • Ciaschini M, Pretaroli R, Socci C (2010a) Multisectoral structures and policy design. Int J Control Issue 83:281–296

    Article  Google Scholar 

  • Ciaschini M, Severini F, Socci C, Pretaroli R (2010b) The economic impact of the green certificate market through the macro multiplier approach. In: Fanunzi F (ed) Nota di lavoro, Institutions and markets 2010, 105, FEEM Working Papers. Fondazione Eni Enrico Mattei

  • EDGAR (2007) EDGAR 32FT Model Description. http://www.mnp.nl/edgar/model/v32ft2000edgar. Accessed 1 May 2015

  • European Commission (2011) White Paper, Roadmap to a Single European Transport Area-Towards a competitive and resource efficient transport system. COM(2011(144 final, Brussels)

  • European Commission (2012) EU transport in figures—statistical pocketbook

  • European Commission (2013) Economic and regional impacts (COMMUNICATING TRANSPORT RESEARCH AND INNOVATION)

  • European Commission (2014a) EU energy, transport and GHG emissions (Trends to 2050)

  • European Commission (2014b) EU Transport Scoreboard—How is your country doing?. Brussels, 10 April

  • Guo D, Hewings G (2001) Comparative analysis of China’s economic structures between 1987 and 1997: an input-output prospective. Discussion Paper. Urbana, IL: Regional Economics Applications Laboratory.

  • Hirschman A (1958) The strategy of economic development. Yale University, New York

    Google Scholar 

  • Jones L (1976) The measurement of hirschmanian linkages. Q J Econ 90(2):323–333

    Article  Google Scholar 

  • Lancaster P, Tismenetsky M (1985) The theory of matrices: with applications. Academic Press, Cambridge

    Google Scholar 

  • Miller R, Blair P (2009) Input-output analysis foundations and extensions. Leiden Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Mulley C, Nelson J (1999) Interoperability and transport policy: the impediments to interoperability in the organisation of trans-European transport systems. J Transp Geogr 7:93–104

    Article  Google Scholar 

  • Rasmussen P (1956) Studies in intersectoral relations. Einar Harks, Copenhagen

    Google Scholar 

  • Socci C et al (2016) Estimating the economic impact of tourism industry through the MM approach. Bull Transilv Univ Brasov. Econ Sci 9(2):127

    Google Scholar 

  • Timmer M, Erumban AA, Gouma R, Los B, Temurshoev U, de Vries GJ, Arto IA, Genty VAA, Neuwahl F, Francois J, Pindyuk O (2012) The world input-output database (WIOD): contents, sources and methods (No. 20120401). Institute for International and Development Economics. http://www.wiod.org/publications/source_docs/WIOD_sources.pdf. Accessed 15 May 2015

Download references

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Correspondence to Yousaf Ali.

Appendices

Appendix A: Tables

See Table 5

Table 5 35 Sectors of the economy

Appendix B: Figures

See Figs. 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14.

Fig. 3
figure 3

Market shares in France

Fig. 4
figure 4

Technical coefficients in France

Fig. 5
figure 5

Market shares in Germany

Fig. 6
figure 6

Technical coefficients in Germany

Fig. 7
figure 7

Market shares in Italy

Fig. 8
figure 8

Technical coefficients in Italy

Fig. 9
figure 9

Market shares in UK

Fig. 10
figure 10

Technical coefficients in UK

Fig. 11
figure 11

Dominating policy control and transport type industries (Germany)

Fig. 12
figure 12

Dominating policy objective and transport type industries (Germany)

Fig. 13
figure 13

Dominating policy objective and transport type industries (Italy)

Fig. 14
figure 14

Dominating policy control and transport type industries (Italy)

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Ali, Y., Socci, C., Pretaroli, R. et al. Economic and environmental impact of transport sector on Europe economy. Asia-Pac J Reg Sci 2, 361–397 (2018). https://doi.org/10.1007/s41685-017-0066-9

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