The relationship between final consumption and economic sectors – a structural path analysis approach

Dang Thi Thu Trang/ MICA 2018 Proceedings  
International Conference on Marketing in the Connected Age (MICA-2018), October 6th, 2018  
Danang City, Vietnam  
The Relationship Between Final Consumption and Economic  
Sectors – A Structural Path Analysis Approach  
Nguyen Huu Nguyen Xuana*  
aUniversity of Economics – The University of Danang, 71 Ngu Hanh Son Street, Danang City, Vietnam  
A B S T R A C T  
There are many ways to measure the importance and the level of interdependent impact between  
consumption and production, in which structural path analysis is considered as one of the most powerful  
methods. Application of extended structural path method captures not only the linkages within the production  
system but also the transfer of the induced effect into different layers of impacts. Final demand purchases  
initiate production processes that ultimately lead to grow sectoral output into various channels. This evaluates  
the role of consumers' decisions in determining the production scale. The previous findings show that it is  
necessary to require two approaches for policy to focus on sustainable production in order to fully identify  
important sectors in conditions of limited resources.  
Keywords: structural path analysis; extended input-output model; final consumption; sectoral output.  
1. Introduction  
An economy is considered as a major set of interrelated economic production and consumption activities. If  
the quality and the consumption model are determined by the size of the product structure, quality as well as the  
nature of the product, speed of capital rotation, production rotation helping enterprises increase their  
competitiveness and improve their position in the market will be intensified by consumption. It is highly  
recommended that consumption plays an enormous role in the development of society, enterprises and  
employees’ interest nowadays. In terms of social aspect, the consumption contributes to the balance between  
supply and demand, ensure the stability of the economy. Any change resulting from the final consumer demand  
for the products of industries can also lead to the process of social reproduction, which increases the productivity  
of the enterprises. The expansion of production of enterprises raises the incomes of employees, hence improving  
the living standard of the population. The change in income again affects the final consumer demand of the  
household groups. This spread takes place in the economy through many rounds with less impact than previous  
ones. The calculation of the overall effect of these turns helps to measure the relationship among the economic  
components including production, distribution and consumption.  
Utilizing robust methods such as structural path analysis (SPA) is able to dependably reflect the complexity of  
connections in an economic system. This method not only reveals the linkage in the production system, but also  
refers to the spread of influence into different channels of effects. Structural path analysis is used for both input-  
output model (I/O model) and social accounting matrix (SAM) data frames. For conventional I/O models, this  
* Corresponding author. E-mail address: [email protected]  
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method is limited to illustrate only the connections among production areas. The combination of SPA with  
extended I/O model is more commonly applied in research drawing attention to the importance and impact of  
final consumption in the economy. The advantage of the extended I/O model is the ability to consider  
consumption accounts of household groups as endogenous variable instead of the exogenous one and the  
traceability chains of intermediate purchases instigated by final demand through layers of the production system  
the using SPA. Theoretically, a final demand purchase transfer an infinite number of supply chains as tree-like  
structures through the economy. For this reason, studies using SPA are impossible to exhaustively quote SPA  
results, only the most important paths by ranking (Peters, G. P., 2006; Acquaye, A. A.,2011). Almost all less  
important supply chains expressing only a small fraction of total output, to the point of rendering them  
individually negligible, can together represent a considerable share of total sectoral output (Wiedmann, T.;  
Lenzen, 2007). Compared with the SAM model, extended I/O model would probably be a more economical  
solution to research on the issues related to production and consumption, because the data served for  
constructing SAM framework is collected to be quite complicated and expensive. Despite these strong points, the  
I/O model has certain limitations including fixed technology and unrestricted supply. So, prices do not play an  
important role in this model.  
In Vietnam, since the transition from subsidy to market economy, the relationship between production and  
consumption has been the subject of considerable research. Besides the quality of products, designs, types and  
prices of goods, enterprises should assess the role of selling products from the results of market research. Based  
on that, they are able to decide that will they produce to meet those needs in accordance with their production  
ability? In addition, rely on final consumer demand economic sectors would probably predict and construct new  
production strategies accounting to related factors, such as market, supply situation, sector development...in  
order to make their business activities more effective. As differences in the obvious roles and responsibilities of  
upstream and downstream when viewed through final production and consumption attributions of sectoral  
outputs increasingly come to the attention of policy-makers, there is an ever greater need to understand how and  
why such differences occur. Therefore, the study focusing on the role of final consumption on the production  
activities of the economic sectors in an exhaustive manner is essential.  
The purpose of this article is to introduce the possibility of applying SPA into Leontief model to determine  
the link between consumption and production in the economy that has not been investigated clearly in Vietnam  
before. This relationship, in particular, is represented in the extended I/O model in an attempt to underline the  
final consumption role of household groups in improving the output of the economy. Apart from the direct and  
indirect effects on sectors revealed in common SPA, this extension also indicates the induced effects of  
consumption. These latest effects come from the raise of income in production expansion caused by new  
demand, which generates new demand, and so on. The addition of ones overcomes the restrictive input–output  
assumption relied on the idea that the income creation chain. Our extension of the SPA method provides a more  
precise understanding about which sectors are most affected by consumption factors, not only directly and  
indirectly but also inductively, is extremely helpful at making management policies more effective.  
The rest of the paper is organized as follows. Section 2 describes the extended input–output model of  
consumption as a basis for the structural path analysis. The results of the empirical investigation are in section 3.  
Finally, a conclusion section ends the paper.  
2. Methodology  
2.1. Extended input-output model  
Conventional I/O model only considers production for all the income creation mechanisms. Correspondingly,  
exogenous shocks affecting sectoral output involve all the possible alterations in consumer demand, while the  
subsequent transmission from new output to new income and new consumption and so on is overlooked. For  
extended I/O model, the key point of the interactions among the various parts of the macroeconomic system  
reflect that the increase in the size of production of the sectors requires increased demands for labor in addition  
to other intermediate inputs and thus create additional employment and income for workers. These extra incomes  
are able to be used for household consumption and this additional consumption in turn will stimulate production.  
All of which can be taken into account constructing the extended I/O model by moving households' decisions  
from the final (exogenous) demand to the input–output matrix.  
Thus, the expanded I / O model is completion of a simple I / O model adding one line and one column as  
shown in the table 1. In which, households consume products and services purchased from the economic and  
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own household sectors to reproduction of labor power, represented in n+1 column. Labor is provided for  
industries in the economy and for household groups themselves, expressed in the n+1 line.  
Table 1. Extended input – output model  
Intermediate consume  
Final consume  
GO  
X11 X12  
X21 X22  
...  
Xi1 Xi2  
...  
X13  
X23  
…
…
X1n  
X2n  
C1  
C2  
…
Ci  
...  
G1 I1  
G2 I2  
X1 - M1  
X2- M2  
X1  
X2  
…
Xi  
…
Xi3  
…
…
Xin  
Gi  
Ii  
Xi- Mi  
Xn1 Xn2  
X13  
Xnn  
Cn  
Gn In  
Xn- Mn  
Xn  
L1  
K1  
P1  
T1  
L2  
K2  
P2  
T2  
L3  
K3  
P3  
T3  
…
…
…
…
Ln  
Kn  
Pn  
Tn  
X
1,n1   
X2,n1  
...  
X
n,n1  
GI  
X1  
X2  
X3  
…
Xn  
Xn1,1, Xn1,2,...,Xn1,n  
Xn1,1, Xn1,2,...,Xn1,n  
Then matrix of direct technology coefficients of extended I/O model (  
representing the cost coefficient of labor by sectors ( R ), a column vector representing the household final  
consumption coefficient for the products of the sectors ( C ), the cost coefficient of the services provided by  
the households themselves (h) despite of the matrix of technical coefficients A of typical I/O model.  
A
) consists of a line vector  
H
H
A
H
C   
A   
(1)  
HR  
h
The linear relationship among the production value, the direct technology coefficients and the final  
consumption in our used extended input–output model can be expressed as follows:  
I A X F  
(2)  
Or:  
X I A 1 F  
(3)  
The elements of the matrix (I - Ᾱ)-1 are called the multipliers of the extended I/O matrix, which capture the  
overall effects on both the sectoral production and consumption from unitary and exogenous changes in final  
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Dang Thi Thu Trang/ MICA 2018 Proceedings  
demand. Aside from Type I income multipliers showing direct and indirect effects, the extended model also  
provides Type II ones (Miller, R.E., 1980) indicating induced effects.  
2.2. Extension of the SPA Method  
SPA was introduced into economics and regional science by Defourny and Thorbecke and Crama et al.  
(1984) and gradually becomes useful tool in researching economic issues related to energy (Treloar et al., 1997,  
2001a, 2001b), carbon (Wood, 2008), water (Maria, L.L., 2014) and other physical quantities through industrial  
networks. Compared to the traditional multiplier decomposition proposed by Stone (1978) and Pyatt and Round  
(1979), SPA is more detailed and more apparently represents explicit the direction of spillover effects in addition  
to their magnitude.  
The inverse in Eq. (3) can be written as its Taylor expansion (Waugh FV., 1950) leading to deeper knowledge  
into the analysis of the preceding multipliers:  
(I − Ᾱ)−1 = I + A + A2 + A3 + · · ·  
(4)  
Matrix of direct technology coefficients of extended I/O model (Ᾱ) in Eq. (4) can be split into two parts,  
which reflect different economic relationships, related to production (matrix A - this is also a matrix of technical coefficients A of  
typical I/O model) and consumption (matrix B -including vectors representing the cost coefficient of labor by sectors (  
H
R ), the household final consumption coefficient for the products of the sectors (  
provided by the households themselves (h), as follows:  
H
C ), and the services  
A
0
0
0
0
H
C   
A A B   
(5)  
HR  
h
By taking this distinction into account of Eq. (4), we can write:  
(I − Ᾱ)−1 = I + (A + B) + (A + B)2 + (A + B)3 + …..  
= I + (A1 + A2) + (A2 + 2AB + B2) + (A3+ 3A2B +3AB2 + B3) + …  
(6)  
This expression irons-out interdependencies between sectors into linear supply chains, that are activated when exogenous shocks to  
production and consumption appear and is an extension of the traditional SPA decomposition. On the right-hand side of Eq. (4),  
each element in the expansion denotes a different production layer (PL) or tier. We define a production layer  
(PL) as each term in the power series expansion, PLt = (A)t. Each additional layer, PLt+1 = PLtA, represents the  
production of intermediate products in (t + 1)th production tier used as inputs into the preceding layer.  
Because of aggregation of many industries, factories, and processes in each sector, so some sectors may be  
more aggregated than others. Our representation is able to become more realistic for lowly aggregated IO models  
or  
less  
realistic  
for  
number  
of  
sectors  
decreases.  
Note  
that  
the  
difference  
between  
the proposed SPA approach and the traditional one responds to:  
(I – (A+B))−1 - (I − A)−1 = I + (A + B) + (A + B)2 + (A + B)3 + ….. – (I + A + A2 + A3 + · · ·)  
(5)  
= B + 2AB + B2 + 3A2B +3AB2 + B3  
This indicates the added impacts in according with each of the infinite layers by the extended SPA. These  
new impacts involve those transferred from private consumption decisions (B, B2 , B3…) and the connections  
between sectors and private consumption (2AB, 3A2B, 3AB2…). The sum of all these terms in Eq. (5) in fact,  
measures the induced effects that obtain the new income flows added by the expanded SPA method.  
3. Analysis of results  
To empirically implement the model, an input – output table for Vietnam economy with data for the year  
2012 was used to calculate matrix A. For computational convenience, the author has added up 164 sectors listed  
in the 2012 I/O table into 14 basic ones, including: Agriculture (code1), Forestry (code 2), Fisheries (code 3),  
Mining (code 4), Processing and Manufacturing (code 5), Electricity and Water (code 6), Building (code 7),  
Wholesale, Retail trade and Repair of motor vehicles and motorcycles (code 8), Warehouse and Transportation  
Services (code 9), Accommodation and Catering services (code 10), Information and Communication services  
(code 11), Financial, Banking and Real estate services (code 12), Public service (code 13), Other services (code  
14).  
3.1.  
Output multipliers of conventional and extended I/O model  
Leontief Inverse Matrix of two models are defined in Appendix A.1 and A.2. The empirical results show that  
the output multipliers measured by the expanded I/O model are significantly larger ones measured by the  
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conventional I/O model and achieved about 145% increase. Consequently, household expenditures are  
considered as component, joining into the spread of the impacts in Vietnamese economy. The analysis indicates  
that although Fisheries (7,58), Building (7,55), Processing and Manufacturing (7,4), Warehouse and  
Transportation Services (6,87), Agriculture (6,8) lead in terms of output multipliers in extended I/O model,  
consumption of household groups makes the greatest impact based on increased output on other industries  
(figure1) encompassing Public service (233,6%), Retail trade and Repair of motor vehicles and motorcycles  
(205,3%), Other services (203%), Forestry (176,6%), Banking and Real estate services (172,4%). It can be said  
that, the linkage between final consumption and later industries is appreciated higher than the rest of the  
economy.  
250.00  
200.00  
150.00  
100.00  
50.00  
0.00  
1
2
3
4
5
6
7
8
9
10 11 12 13 14  
Sector  
Fig.1. Output, generated in extended I/O model (%)  
Diffusion effect of sectoral output  
3.2.  
Diffusion effect of sectoral output is defined as the column sums in the matrices of output multipliers in each  
channel of impacts. These values imply the amount of output, generated in an attempt to satisfy a unitary  
increase in the exogenous shock of the corresponding field. The differences between both model in terms of  
sectoral outputs throughout the layers and its importance in the different chains are represented in tables 2,3 and  
4. It can be seen that in the traditional model, almost all multiplier effects are activated from the first stages and  
sharply down in the next stages, while ones are activated from the second and subsequent stages in the extended  
model except Processing and Manufacturing industry and Information and Communication services. This is  
obviously reveals an interesting role of different layers between the two frameworks. Specifically, early layers  
played less important role in relation to ones away from the initial shock when consumption is taken into account  
in the multiplier process, and impacts propagated from later layers are greater than the conventional SPA. These  
values illustrate an opposite role of layers in the induced effects of final consumption as an element of the  
multiplier process to the general results relied on the rule that early layers have higher influence in terms of the  
impacts involved.  
Table 2. Diffusion effect of sectoral output using traditional SPA method (Vietnamese dong)  
1st  
layer  
2nd  
layer  
3rd  
layer  
4th  
layer  
5th  
layer  
6th  
layer  
7th  
layer  
8th  
layer  
9th  
layer  
10th  
layer  
Others  
layers  
Industry  
Total  
0.58  
0.49  
0.71  
0.39  
0.27  
0.53  
0.27  
0.16  
0.37  
0.18  
0.10  
0.26  
0.12  
0.07  
0.17  
0.09  
0.04  
0.12  
0.06  
0.03  
0.08  
0.04  
0.02  
0.06  
0.03  
0.01  
0.04  
0.02  
0.01  
0.03  
0.04  
0.02  
0.06  
2.82  
2.23  
3.41  
1
2
3
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Dang Thi Thu Trang/ MICA 2018 Proceedings  
0.55  
0.79  
0.28  
0.70  
0.35  
0.63  
0.61  
0.66  
0.35  
0.34  
0.35  
0.38  
0.56  
0.17  
0.50  
0.20  
0.45  
0.40  
0.45  
0.16  
0.20  
0.23  
0.26  
0.38  
0.11  
0.35  
0.13  
0.31  
0.27  
0.31  
0.09  
0.14  
0.16  
0.18  
0.26  
0.08  
0.24  
0.08  
0.21  
0.19  
0.21  
0.06  
0.09  
0.11  
0.12  
0.18  
0.05  
0.16  
0.06  
0.15  
0.13  
0.15  
0.04  
0.06  
0.07  
0.08  
0.12  
0.04  
0.11  
0.04  
0.10  
0.09  
0.10  
0.03  
0.04  
0.05  
0.06  
0.08  
0.02  
0.08  
0.03  
0.07  
0.06  
0.07  
0.02  
0.03  
0.03  
0.04  
0.06  
0.02  
0.05  
0.02  
0.05  
0.04  
0.05  
0.01  
0.02  
0.02  
0.03  
0.04  
0.01  
0.04  
0.01  
0.03  
0.03  
0.03  
0.01  
0.01  
0.02  
0.02  
0.03  
0.01  
0.02  
0.01  
0.02  
0.02  
0.02  
0.01  
0.01  
0.01  
0.04  
0.06  
0.02  
0.05  
0.02  
0.05  
0.04  
0.05  
0.01  
0.02  
0.02  
2.74  
3.56  
1.81  
3.31  
1.94  
3.06  
2.87  
3.10  
1.79  
1.98  
2.08  
4
5
6
7
8
9
10  
11  
12  
13  
14  
Total  
7.396 4.887 3.308 2.252 1.537 1.050 0.717 0.490 0.335 0.229 0.494 22.70  
Source: results are calculated from data of the 2012 I / O table for Vietnam economy  
According to results in table 4, while the diffusion effects in the other sectors increase slightly, Public, Other  
services and Wholesale, Retail trade and Repair of motor vehicles and motorcycles express exert high growth on  
sectoral output (13%, 11,5%, 10,7% of total from the second layer, corresponding), caused by the induced  
effects of consumption that cannot be reflected in the traditional method. This applies useful information about  
the connections captured by the SPA methodology because of the distinction between direct, indirect and  
induced effects. Channels to Public, other services, Wholesale, Retail trade and Repair of motor vehicles and  
motorcycles transfer an enormous impact in extended SPA because of the induced effects despite of inflows to  
ones generate low effects in traditional SPA because of their direct and indirect. Conversely, the rest of economy  
generate a significantly impact effects in traditional SPA because of its direct and indirect effects while the  
induced effects caused by consumption in their product are relatively low in extended SPA, for example the  
Processing and Manufacturing. These sectoral differences must be taken into account in the definition of a  
sustainable production system.  
Table 3. Diffusion effect of sectoral output using extended SPA method (Vietnamese dong)  
1st  
layer  
2nd  
layer  
3rd  
layer  
4th  
layer  
5th  
6th  
7th  
8th  
9th  
10th  
Others  
layers  
Industry  
Total  
layer layer layer layer layer layer  
1
2
0.58  
0.49  
0.71  
0.55  
0.79  
0.28  
0.70  
0.35  
0.63  
0.61  
0.66  
0.35  
0.34  
0.35  
7.40  
0.65  
0.57  
0.74  
0.58  
0.67  
0.37  
0.73  
0.60  
0.66  
0.64  
0.63  
0.44  
0.69  
0.66  
8.64  
0.53  
0.47  
0.60  
0.48  
0.59  
0.29  
0.60  
0.45  
0.54  
0.53  
0.53  
0.35  
0.51  
0.48  
6.96  
0.49  
0.43  
0.54  
0.43  
0.52  
0.27  
0.54  
0.43  
0.49  
0.48  
0.47  
0.33  
0.49  
0.46  
6.37  
0.42  
0.38  
0.47  
0.37  
0.46  
0.23  
0.47  
0.37  
0.42  
0.42  
0.41  
0.29  
0.42  
0.40  
5.53  
0.37  
0.34  
0.42  
0.33  
0.40  
0.20  
0.42  
0.33  
0.37  
0.37  
0.36  
0.25  
0.38  
0.35  
4.90  
0.33  
0.30  
0.37  
0.29  
0.35  
0.18  
0.37  
0.29  
0.33  
0.32  
0.32  
0.22  
0.33  
0.31  
4.31  
0.29  
0.26  
0.32  
0.26  
0.31  
0.16  
0.32  
0.25  
0.29  
0.29  
0.28  
0.20  
0.29  
0.27  
3.80  
0.25  
0.23  
0.29  
0.23  
0.27  
0.14  
0.29  
0.22  
0.26  
0.25  
0.25  
0.17  
0.26  
0.24  
3.34  
0.22  
0.20  
0.25  
0.20  
0.24  
0.12  
0.25  
0.20  
0.23  
0.22  
0.22  
0.15  
0.23  
0.21  
2.94  
1.66  
1.50  
1.86  
1.47  
1.78  
0.91  
1.85  
1.44  
1.66  
1.64  
1.61  
1.12  
1.66  
1.56  
21.73  
5.80  
5.17  
6.58  
5.19  
6.40  
3.15  
6.55  
4.92  
5.87  
5.77  
5.75  
3.88  
5.60  
5.29  
75.92  
3
4
5
6
7
8
9
10  
11  
12  
13  
14  
Total  
Source: results calculated from data of the 2012 I / O table for Vietnam economy  
Table 4. Induced effect generated in diffusion process (% of total)  
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Dang Thi Thu Trang/ MICA 2018 Proceedings  
1st  
layer  
2nd  
layer  
3rd  
layer  
4th  
layer  
5th  
layer  
6th  
layer  
7th  
layer  
8th  
layer  
9th  
layer  
10th  
layer  
Others  
layers  
Industry  
1
2
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
6.8  
8.0  
7.3  
8.5  
6.4  
6.0  
5.7  
4.8  
6.9  
8.8  
6.3  
7.0  
6.0  
7.2  
10.3  
8.9  
7.3  
8.1  
7.0  
6.2  
6.2  
4.6  
7.4  
8.3  
6.7  
7.1  
6.3  
6.5  
9.7  
8.6  
7.4  
7.8  
7.5  
6.3  
6.9  
4.4  
7.7  
7.7  
7.0  
7.3  
6.7  
6.1  
8.9  
8.0  
7.5  
7.6  
7.8  
6.5  
7.2  
4.4  
8.0  
7.5  
7.2  
7.3  
6.9  
5.9  
8.6  
7.8  
7.5  
7.4  
8.0  
6.5  
7.5  
4.3  
8.1  
7.2  
7.3  
7.4  
7.0  
5.7  
8.3  
7.6  
7.6  
7.3  
8.1  
6.6  
7.7  
4.3  
8.2  
7.1  
7.4  
7.4  
7.1  
5.6  
8.2  
7.5  
7.6  
7.2  
8.2  
6.6  
7.8  
4.3  
8.3  
7.0  
7.4  
7.5  
7.2  
5.5  
8.0  
7.4  
7.6  
7.1  
8.3  
6.7  
7.9  
4.2  
8.4  
6.9  
7.5  
7.5  
7.2  
5.4  
7.9  
7.4  
7.6  
6.9  
8.5  
6.7  
8.1  
4.2  
8.5  
6.7  
7.6  
7.5  
7.4  
5.2  
7.7  
7.2  
3
5.6  
4
5.6  
5
3.1  
6
5.4  
7
6.1  
8
10.7  
5.6  
9
10  
11  
12  
13  
14  
Total  
6.4  
4.6  
7.4  
13.0  
11.5  
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0  
Source: results calculated from data of the 2012 I / O table for Vietnam economy  
3.3.  
Absorption effect of sectoral output  
Table 5,6 and 7 show the absorption effects, calculated by summing up each row in the output multiplier  
matrices, reflects the increase in the sectoral output used by the corresponding sector when the final demand  
rises by 1 monetary unit in all sectors. The total amount of output consumed indicated in table 5,6, and 7 give  
more different outcomes than in the diffusion effects. It is noticeable that, in the traditional model multiplier  
effects are especially remarkable in Agricultural because they are activated from the second stages while others  
are activated from first ones. It can be said that, the indirect linkage play a more important role than direct one in  
effect spread, generated by exogenous shocks. The role of layers removed from the initial impact, are more  
important in the induced effects of final consumption as an element of the multiplier process to sectors involving  
Agriculture, Fisheries, Processing and Manufacturing, Mining, Wholesale, Retail trade and Repair of motor  
vehicles and motorcycles, Warehouse and Transportation Services, Accommodation and Catering services, and  
Other services. Meanwhile, early layers have higher influence to others.  
Table 5. Absorption effect of sectoral output using traditional SPA method (Vietnamese dong)  
1st  
layer  
2nd  
layer  
3rd  
layer  
4th  
layer  
5th  
layer  
6th  
layer  
7th  
layer  
8th  
layer  
9th  
layer  
10th  
layer  
Others  
layers  
Industry  
Total  
1
2
0.40  
0.39  
0.16  
0.28  
4.03  
0.20  
0.13  
0.27  
0.27  
0.09  
0.36  
0.55  
0.52  
0.23  
0.14  
0.23  
2.83  
0.09  
0.04  
0.20  
0.13  
0.03  
0.13  
0.23  
0.42  
0.15  
0.10  
0.16  
1.95  
0.06  
0.02  
0.14  
0.08  
0.02  
0.05  
0.12  
0.30  
0.10  
0.07  
0.11  
1.33  
0.04  
0.01  
0.10  
0.06  
0.01  
0.02  
0.08  
0.21  
0.07  
0.05  
0.08  
0.91  
0.03  
0.01  
0.07  
0.04  
0.01  
0.01  
0.05  
0.14  
0.04  
0.03  
0.05  
0.62  
0.02  
0.00  
0.05  
0.03  
0.00  
0.01  
0.10  
0.03  
0.02  
0.04  
0.43  
0.01  
0.00  
0.03  
0.02  
0.00  
0.00  
0.02  
0.07  
0.02  
0.01  
0.02  
0.29  
0.01  
0.00  
0.02  
0.01  
0.00  
0.00  
0.02  
0.05  
0.01  
0.01  
0.02  
0.20  
0.01  
0.00  
0.01  
0.01  
0.00  
0.00  
0.01  
0.03  
0.01  
0.01  
0.01  
0.14  
0.00  
0.00  
0.01  
0.01  
0.00  
0.00  
0.01  
0.07  
0.02  
0.01  
0.03  
0.29  
0.01  
0.00  
0.02  
0.01  
0.00  
0.00  
0.02  
3.29  
2.07  
1.61  
2.04  
14.02  
1.48  
1.22  
1.92  
1.66  
1.17  
1.60  
2.14  
3
4
5
6
7
8
9
10  
11  
12  
0.03  
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Dang Thi Thu Trang/ MICA 2018 Proceedings  
13  
14  
0.20  
0.06  
7.40  
0.07  
0.01  
4.89  
0.04  
0.01  
3.31  
0.03  
0.00  
2.25  
0.02  
0.00  
1.54  
0.01  
0.00  
1.05  
0.01  
0.00  
0.72  
0.01  
0.00  
0.49  
0.00  
0.00  
0.33  
0.00  
0.00  
0.23  
0.01  
0.00  
0.49  
1.40  
1.09  
Total  
22.70  
Source: results calculated from data of the 2012 I / O table for Vietnam economy  
Table 6. Absorption effect of sectoral output using extended SPA method (Vietnamese dong)  
1st  
layer  
2nd  
layer  
3rd  
layer  
4th  
layer  
5th  
layer  
6th  
layer  
7th  
layer  
8th  
layer  
9th  
layer  
10th  
layer  
Others  
layers  
Industry  
Total  
1
2
0.40  
0.39  
0.16  
0.28  
4.03  
0.20  
0.13  
0.27  
0.27  
0.09  
0.36  
0.55  
0.20  
0.06  
7.40  
0.90  
0.25  
0.30  
0.29  
4.25  
0.16  
0.11  
0.39  
0.30  
0.26  
0.24  
0.53  
0.16  
0.49  
8.64  
0.80  
0.20  
0.22  
0.27  
3.81  
0.13  
0.07  
0.30  
0.21  
0.12  
0.14  
0.38  
0.12  
0.20  
6.96  
0.76  
0.17  
0.21  
0.25  
3.40  
0.12  
0.06  
0.29  
0.20  
0.13  
0.11  
0.34  
0.10  
0.23  
6.37  
0.67  
0.15  
0.18  
0.22  
3.00  
0.10  
0.05  
0.25  
0.17  
0.10  
0.09  
0.29  
0.09  
0.18  
5.53  
0.59  
0.13  
0.16  
0.19  
2.64  
0.09  
0.05  
0.22  
0.15  
0.10  
0.08  
0.25  
0.08  
0.17  
4.90  
0.52  
0.11  
0.14  
0.17  
2.33  
0.08  
0.04  
0.19  
0.13  
0.08  
0.07  
0.22  
0.07  
0.14  
4.31  
0.46  
0.10  
0.13  
0.15  
2.05  
0.07  
0.04  
0.17  
0.12  
0.07  
0.06  
0.20  
0.06  
0.13  
3.80  
0.41  
0.09  
0.11  
0.13  
1.81  
0.06  
0.03  
0.15  
0.10  
0.06  
0.05  
0.17  
0.05  
0.11  
3.34  
0.36  
0.08  
0.10  
0.12  
1.59  
0.05  
0.03  
0.13  
0.09  
0.06  
0.05  
0.15  
0.05  
0.10  
2.94  
2.64  
0.57  
0.72  
0.85  
11.74  
0.40  
0.20  
0.97  
0.66  
0.42  
0.35  
1.12  
0.35  
0.73  
21.73  
9.51  
3.23  
3.44  
3.91  
41.65  
2.46  
1.81  
4.33  
3.39  
2.50  
2.62  
5.19  
2.33  
3.54  
75.92  
3
4
5
6
7
8
9
10  
11  
12  
13  
14  
Total  
Source: results calculated from data of the 2012 I / O table for Vietnam economy  
A comparison of the two models reveals that consumption–income channel has more significant impact on  
the Processing and Manufacturing, and Agricultural sector (table 7) than the rest of economy. In which, the  
importance of Processing and Manufacturing in the induced effects is highest in all layers. This suggests that the  
product of Processing and Manufacturing sector is needed for consumption of the economy but its output  
generated from demand of other economic sectors than itself. The differences of sectoral output in the absorption  
effects indicate the necessary of completing the circular flow of income by adding final consumption.  
As a whole, the comparison the results between the two SPA methods give both obviously quantitative and  
qualitative differences. Multiplier effects of the extended SPA, which is higher compared with the traditional  
one, emphasize the role of final consumption to the spread of the influence of exogenous effects throughout the  
economy. On the other hand, the outcome also indicates the relative importance of sectors and layers change  
significantly when consumption accounting is added to a SPA approach. This also clarifies the degree of  
linkages among economic entities, including final consume of household groups and sectors as well as the nature  
of ones (direct, indirect, induced) spread in the economic system. In addition, the measurement of the impact  
magnitude of diffusion and adsorption processes circulated in different pathways serves as the basis for policy  
formulation and implementation supporting the production process or regulating consumer behavior to meet the  
objective of economic development in each period.  
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Dang Thi Thu Trang/ MICA 2018 Proceedings  
Table 7. Induced effect generated in absorption process (% of total)  
1st  
2nd  
3rd  
4th  
5th  
6th  
7th  
8th  
9th  
10th Others  
Industry  
layer layer layer layer layer layer layer layer layer layer layers  
1
2
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
0.0  
10.1  
0.6  
4.3  
1.6  
38.0  
1.7  
1.9  
5.0  
4.5  
6.2  
3.1  
8.0  
2.4  
12.7  
10.6  
1.4  
3.4  
2.8  
50.9  
1.9  
1.4  
4.5  
3.5  
2.8  
2.5  
7.0  
2.0  
5.3  
11.3  
1.7  
3.5  
3.2  
50.2  
1.8  
1.2  
4.6  
3.4  
3.0  
2.2  
6.3  
1.9  
5.6  
11.6  
2.0  
3.4  
3.5  
52.2  
1.9  
1.1  
4.5  
3.3  
2.4  
2.0  
5.9  
1.8  
4.5  
11.7  
2.2  
3.4  
3.6  
52.5  
1.8  
1.1  
4.5  
3.2  
2.4  
1.9  
5.7  
1.7  
4.3  
11.9  
2.3  
3.4  
3.7  
53.0  
1.8  
1.0  
4.5  
3.2  
2.2  
1.8  
5.5  
1.7  
4.0  
11.9  
2.4  
3.4  
3.8  
53.2  
1.8  
1.0  
4.5  
3.1  
2.2  
1.8  
5.4  
1.7  
3.8  
12.0  
2.5  
3.3  
3.8  
53.4  
1.8  
1.0  
4.5  
3.1  
2.1  
1.7  
5.3  
1.7  
3.7  
12.0  
2.5  
3.3  
3.8  
53.6  
1.8  
1.0  
4.5  
3.1  
2.1  
1.7  
5.3  
1.6  
3.6  
12.1  
2.6  
3.3  
3.9  
53.9  
1.8  
0.9  
4.5  
3.1  
2.0  
1.7  
5.2  
1.6  
3.4  
3
4
5
6
7
8
9
10  
11  
12  
13  
14  
Total  
0.0  
100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0  
Source: results calculated from data of the 2012 I / O table for Vietnam economy  
4. Discussion and Policy relevance  
We applied structural path analysis to the national production chains instigated by the Vietnam economy. By  
comparing the traditional and extended models separately we were able to highlight the description of the  
transmission channels of the exogenous impacts. Through the SPA we identified the production paths, provides a  
deeper knowledge of inter-sectoral linkage and interdependencies among sectors and final consumption.  
Analyzing production perspectives adding final consumption, we can determine the accumulated impacts for  
sectoral output. Accordingly, this information is of extreme essential when demand - pull and supply - push  
policies are to be individually applied to the different sectors of production. We found that an absorption effect  
in which the Processing and Manufacturing and Agricultural are supplying the greatest input for whole economy  
and further reinforced with the addition of the induced effects. It should be pointed out that Vietnam develops  
modernization technology in Processing and Manufacturing, and Agricultural processes in order to improve their  
business efficiency. However, the rebound effects can mitigate the results expected by these policies based on  
technological improvements in above sectors. So, the policy maker is able to propose tax in order to keep the  
cost of use the same. Furthermore, the strong point of our expanded SPA model expressed in which it captures  
not only the direct and indirect effects but also induced effects, so it illustrates a better quantification of total  
output from improved efficiency in sectoral output in Processing and Manufacturing, and Agricultural in  
different channels. In addition to, this method is able to identify which sector has the greatest implicit influence  
on overall output of Processing and Manufacturing, and Agricultural sectors.  
However, mechanism behide diffusion and adsorption processes in both processes under assumptions of the  
model and in the context of Vietnam I/O data 2012 encompass some limitations that should be kept in mind. The  
extension of the SPA method compared with the traditional ones, increases the total output of economy,  
generated by induced effect in both diffusion and adsorption processes. Obviously, the source of input to the  
server for the response output in order to meet the final demand thus is not limit. On the other hand, the price  
doesn't play an important role in the model as said above, so the application of the proposed SPA to the quantity-  
oriented input–output is suitable in the short-run.  
Interestingly, the induced effect, derived from the use of the extended SPA method in two diffusion and  
adsorption processes shows the different roles of final consumption decisions to the production of industries. If,  
during the diffusion process the change in the consumer decision of one sector influences the output performance  
of other sectors, the adsorption process indicates how the output of a particular industry effected by the  
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Dang Thi Thu Trang/ MICA 2018 Proceedings  
consumption decision of the entire economy. This is useful when policy makers regulate consumer behavior to  
ensure that the output of the any sector or of the economy, corresponding to the most appropriate strategy.  
5. Conclusion  
In summary, our research applied two different SPA approaches in elucidating the reasons behind sectoral  
output in an economy. To this end, the SPA is a useful tool to illustrate the linkages between consumption and  
production by considering final consumption of household groups as endogenous account of the I/O. The  
findings of comparison the two models suggest that extended SPA method capture not only the direct and  
indirect effects, but also induced ones. The analysis drawn by the traditional and the proposed (extended)  
approach evaluate the importance of various pathways since multiplier process effects are displaced into layers  
that are more remote from the initial impact. Our results add to the research literature on relationships among  
entities in the Vietnamese economy by acquiring SPA method and offers additional scientific basic to policy  
development.  
Appendix A: Leontief Inverse Matrix of conventional I/O models  
Sector  
1
2
3
4
5
6
7
8
9
10  
11  
12  
13  
14  
1.41  
0.04  
0.03  
0.06  
1.02  
0.03  
0.01  
0.08  
0.04  
0.01  
0.01  
0.05  
0.02  
0.00  
0.06  
1.58  
0.01  
0.02  
0.43  
0.01  
0.01  
0.03  
0.02  
0.01  
0.01  
0.02  
0.01  
0.00  
0.22  
0.06  
1.18  
0.09  
1.58  
0.04  
0.01  
0.11  
0.05  
0.01  
0.01  
0.05  
0.02  
0.00  
0.15  
0.04  
0.03  
1.20  
1.07  
0.03  
0.01  
0.06  
0.04  
0.01  
0.01  
0.06  
0.03  
0.01  
0.35  
0.09  
0.08  
0.14  
2.57  
0.04  
0.01  
0.11  
0.06  
0.01  
0.01  
0.06  
0.03  
0.00  
0.06  
0.02  
0.01  
0.11  
0.44  
1.07  
0.00  
0.04  
0.02  
0.00  
0.00  
0.02  
0.01  
0.00  
0.20  
0.06  
0.05  
0.10  
1.50  
0.03  
1.07  
0.11  
0.05  
0.01  
0.01  
0.07  
0.04  
0.00  
0.07  
0.02  
0.02  
0.03  
0.45  
0.03  
0.01  
1.03  
0.04  
0.02  
0.02  
0.15  
0.04  
0.00  
0.18  
0.05  
0.04  
0.07  
1.31  
0.03  
0.01  
0.08  
1.15  
0.01  
0.01  
0.08  
0.04  
0.00  
0.24  
0.04  
0.05  
0.07  
1.12  
0.05  
0.01  
0.08  
0.04  
1.01  
0.01  
0.12  
0.03  
0.00  
0.15  
0.04  
0.04  
0.06  
1.11  
0.04  
0.01  
0.08  
0.05  
0.01  
1.39  
0.06  
0.04  
0.01  
0.04  
0.01  
0.01  
0.02  
0.27  
0.02  
0.04  
0.02  
0.02  
0.01  
0.02  
1.29  
0.03  
0.00  
0.08  
0.02  
0.02  
0.03  
0.51  
0.02  
0.01  
0.04  
0.04  
0.03  
0.06  
0.05  
1.06  
0.02  
0.09  
0.02  
0.02  
0.04  
0.66  
0.02  
0.01  
0.04  
0.03  
0.01  
0.02  
0.05  
0.02  
1.03  
1
2
3
4
5
6
7
8
9
10  
11  
12  
13  
14  
Source: results calculated from data of the 2012 I / O table for Vietnam economy  
484  
Dang Thi Thu Trang/ MICA 2018 Proceedings  
Appendix B. Leontief Inverse Matrix of extended I/O models  
Household  
groups  
Sector  
1
2
3
4
5
6
7
8
9
10  
11  
12  
13  
14  
1.88 0.52 0.70 0.55 0.80 0.33 0.70 0.53 0.62 0.69 0.58 0.40 0.62 0.59  
0.12 1.66 0.15 0.11 0.18 0.07 0.15 0.10 0.13 0.13 0.12 0.08 0.12 0.12  
0.17 0.15 1.32 0.15 0.22 0.09 0.19 0.15 0.17 0.19 0.16 0.12 0.18 0.17  
0.20 0.16 0.23 1.33 0.27 0.19 0.25 0.17 0.20 0.21 0.19 0.13 0.19 0.19  
3.09 2.47 3.74 2.86 4.56 1.65 3.70 2.52 3.29 3.14 3.00 1.87 2.90 2.85  
0.11 0.09 0.11 0.10 0.11 1.11 0.11 0.11 0.10 0.12 0.11 0.08 0.11 0.10  
0.05 0.06 0.05 0.05 0.05 0.03 1.11 0.06 0.05 0.05 0.05 0.07 0.06 0.06  
0.26 0.21 0.30 0.22 0.29 0.14 0.30 1.21 0.25 0.26 0.25 0.16 0.25 0.24  
0.17 0.15 0.19 0.16 0.18 0.10 0.19 0.17 1.27 0.17 0.17 0.12 0.19 0.16  
0.11 0.11 0.11 0.09 0.11 0.06 0.12 0.12 0.11 1.11 0.11 0.09 0.15 0.12  
0.09 0.09 0.09 0.08 0.08 0.05 0.09 0.10 0.09 0.09 1.46 0.08 0.14 0.10  
0.28 0.24 0.29 0.26 0.28 0.16 0.32 0.38 0.30 0.35 0.27 1.47 0.32 0.29  
0.09 0.08 0.09 0.09 0.09 0.05 0.11 0.11 0.10 0.09 0.10 0.09 1.15 0.09  
0.19 0.18 0.19 0.16 0.18 0.11 0.20 0.19 0.18 0.18 0.18 0.15 0.23 1.22  
0.74  
0.14  
0.22  
0.22  
3.27  
0.12  
0.07  
0.29  
0.21  
0.16  
0.12  
0.36  
0.11  
0.29  
1
2
3
4
5
6
7
8
9
10  
11  
12  
13  
14  
Labour  
Income  
1.48 1.46 1.54 1.28 1.42 0.87 1.57 1.48 1.41 1.44 1.35 1.15 1.71 1.56  
2.33  
Source: results calculated from data of the 2012 I / O table for Vietnam economy  
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