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Improvement of transport infrastructure leads to a decrease in transportation costs and hence to an increase in transportation volumes. The equilibrium price in region 1 will increase, and the price in region 2 will decrease. As a result, in region 1, producers benefit from the improvement of transport infrastructure, whereas consumers are negatively affected. In region 2 it is the other way around. With respect to employment, region 1 benefits, but region 2 is hurt by the improvement in transport infrastructure.
Figure 2 shows the main effects when many sectors are considered simultaneously. In this case the net effects are difficult to predict. Also, it is even more difficult to predict processes (reallocation of capital and persons) caused by changes in transport infrastructure in the long term.
The difficulties in predicting the processes can be seen clearly from the points of view of the two following approaches. One is the production function approach and the other is the interregional approach. In the production function approach, the higher productivity of private production factors owing to the improvement of transport infrastructure implies that less inputs are needed for the same level of output (assuming that other inputs are substitutes of transport infrastructure). However, the decrease in production costs will lead to a decrease in prices and hence an increase in output. This would in turn lead to a higher demand for the inputs. The net balance of the two effects is, therefore, uncertain. A similar result is found for the interregional trade approach in terms of employment. Apart from reasons mentioned in the two approaches above, further difficulties are also identified. Time frame Transport infrastructure improvements have a wide variety of effects on firms and consumers. However, these effects are also often difficult to trace because of the lengthy time it may take before an economy adjusts to the new situation. Directionality In studying the relationship between transport
infrastructure and economic development, the problem of dire Section remarks: § Improvement of transport systems leads to a higher productivity of private production factors. It affects trade relationships and hence the location of production factors. Transport investment contributes to economic diversification enabling exploitation of economies of scope and increases the economy’s ability to handle risks. § Improvement of transport infrastructure also influences household consumption, giving rise to substantial redistribution effects among economic groups and also among regions. § Due to the problems of time frame and directionality, the impacts of improvement of transport infrastructure are very difficult to predict. § The existence or construction of a new transport infrastructure does not mean that development will automatically or necessarily follow. It depends on the particular features of the existing network and of the regions concerned.
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Note: All other country figures are road lengths of
standard regional quality. Source: UNDP (1996), Catching
up, Hanoi, p. 56. |
In recent years, along with the transition of the whole economy, road transportation system has been enormously expanded. As far as the mere quantity of roads is concerned, Vietnam compares rather well with other countries in the region. The qualitative picture is much less bright. Figure 3 depicts comparative road networks in the region for road standard quality. The existing infrastructure of Vietnam’s roads and bridges is very old and low in standard. The road network is unevenly distributed among the different provinces of the country.
Vietnam’s inland waterway network is one of the best in the world.
Waterways in the North of the country are formed by the system of the Red and Thai Binh rivers that are quite shallow in the dry season.
Waterways in the South are formed by the system of the Mekong and Dong Nai rivers. The two-river system is connected by a network of canals that create favorable conditions for waterway traffic. As a result, much of the transport in the southern part is done by waterway.
Rivers in the central region have specific characteristics: slope, narrow, and fast flowing in the raining season and shallow water in the dry season. In the Central region inland waterway routes are short, and mainly used for cargo transport within province, from mountainous areas to seashore ones.
Up until late 1970, rural transport had not recorded any significant achievements because of Vietnam’ slow development progress and prolonged period of fierce warfare.
In the late 1980s, the rural road network began to be developed, however, it is still very poor. There was no motorways in six districts and 825 villages. The quality of most of the roads was poor, and very difficult for traffic, especially in the wet season.
Since 1986, there has been a period of economic transfer from a centrally planned management mechanism to a market oriented one. Alongside the socio-economic development of the whole country, the transport sector in general and the rural transport in particular, has made significant development strides including goods transportation, integrating the rural market into the national market and creating a base for economic development towards industrialization and modernization.
During 1980-97, 37,782 km of new roads were constructed, widened and their surfaces upgraded; and 26,748 bridges were constructed, improved and upgraded – a total length of 278,168 m (UNDP, 1998).
However, by December 1998, about 606 communes in Vietnam did not have the roads to the commune center. Almost all communes without a motorway to the center are located in high, mountainous, risky or offshore regions. As almost all rural roads were built by the people’s funds, they are too small and do not meet the quality standards of the Ministry of Transportation.
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Road network and rural poverty
Remoteness is undoubtedly one reason for poverty. Table 1 shows how poverty is related to the lack of motorway in communities. In Table 1, the rate of poor households located in communities that have motorways to their centers is always lower than the rate of poor households located in communities that do not have any motorway to their centers. This is regardless of the poor household classification method (by overall poverty line or by food poverty line).
Vietnam possesses an extensive national road network despite the fact that over half the roads are in poor condition. Due to budget shortages in recent years, investment in road has not been sufficient. Therefore, roads have seriously deteriorated.
Apart from the shortage of investment in the road network, especially in maintenance works, rural road investment strategies at local level seem to be biased.
This section is devoted to other kinds of infrastructure in Vietnam’s rural areas. Access to electricity, daily markets, social services such as education and health care will be considered in turn. We will try to show the relationship between access to these and some indicators representing the living standards of rural inhabitants. For every kind of infrastructure, the link to rural road network will also be examined briefly. In short, the purpose of this section is to examine how rural road network might affect rural living standards.
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Due to geographic distribution of resources and the country’s long narrow shape, Vietnam’s power sector has a regional character. The system is dominated by hydropower in the North. Although the South has hydro capacity, it has also had to rely on diesel-fired generation. Vietnam electricity usage patterns are skewed in favor to the North where the share of electrified households is twice as high as other regions.
Rural electricity system
The relationship between access to electricity infrastructure and rural poverty are reported in Table 2 in detail. Table 2 reveals that no matter how are the poor classified (by overall poverty line or food poverty line), in rural areas or in the whole country, the rate of poor households located in the communities that do not have electricity is much higher.
Electricity and road infrastructures
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Source: Author’s calculations. |
How electricity reaches a location depends on many factors,
among which an adequate road
The poor quality and quantity of rural market infrastructure have negatively affected production and circulation of goods and services. The chain of market mechanisms has lost a link where rural poor could gain much from making part in it. Information in Table 3 supports the notion that market infrastructure in Vietnam’s rural areas is highly important. Everywhere, especially in rural areas, rural poor have to travel much longer (6 km or 10 km poverty line classification) than rural non-poor (2 km or 3 km).
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Daily market and road network
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Source: Author’s calculations from Statistical data on basic situation and infrastructure of rural
region in Vietnam (GSO, 1995). |
In Figure 5, again, the relationship between the rural road network and rural market infrastructure is found to be very close. Across regions, the rate of communes having motorway varies in close parallel with the rate of communes having daily market. And thus, no mater which (motorway or daily market) appears first, the presence of either motorway or daily market is a sign of higher living standards in Vietnam’s rural areas.
The lack of schools in rural areas suggests that rural children have to travel long distances to school. This in part causes an increase in the rate of school age children not going to school in Vietnam. In the survey (VLSS98) on 389 schools in which there are schools aged children who do not go to school, 27% of the schools said that the main reason for the situation was that: school was too far (see Table 4). And here is the importance of transport infrastructure with respect to levels of living, specifically to education indicator.
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Source: Author’s calculations from Rural transport data base (DFID and MOT, 2000). |
Rural school constructions and road network
Is there any relationship between rural education constructions and rural road network? Figure 6 suggest the answer. For secondary schools which generally need huge initial investment to build, the average number of schools per commune seem to vary in parallel with the rate of communes having motorway across regions except for Mekong River Delta where rural inhabitants mainly use waterway for travel and transport. This suggests that the presence of motorway in commune could play a major role in diffusing and enhancing knowledge among rural inhabitants through education constructions.
Rural health care establishments and road network
A way to improve the above situation is suggested in Figure 7. It is found that, across regions, the rate of communes having motorways is strongly and positively correlated with the rate of communes having clinic, and the average number of health care service units per commune. In other words, the higher the rate of communes having motorway, the higher the rate the rural inhabitants able to access social health care service.
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Source: Author’s calculations from Statistical data on basic situation and infrastructure of rural
region in Vietnam (GSO, 1995) and Rural
transport data base (DFID and MOT, 2000). |
Vietnam Rural Transport
Infrastructure
and Rural Living Standards
This section attempts a detailed assessment of impact of the transport system on the income of households in Vietnam’s rural areas. The data set contains detailed information on rural household incomes and rural household abilities to access the transport system as well as other kinds of infrastructure. Besides household level, access to motorway, to market, to electricity and to agricultural extension center are considered as factors having effects on household income.
Although the information on access to all kinds of infrastructure does not vary amongst households in the same community or village, it does vary across communities and regions. For these reasons, it is possible to examine the impacts of access to such infrastructure on the livelihood in rural Vietnam.
In attempting to answer the question raised above, this paper looks at the determinants of rural household income and the role played by access to infrastructure, especially transportation infrastructure. The presence of roads, which we will consider those that a car can travel on, or distance to roads, is among various factors which determine household incomes. To qualify the gains from investment in transport infrastructure this paper posits the logarithmic function giving the logarithm of rural-household income (lgin) conditional on a vector of prevailing output and input prices (p), logarithm of distance to road (lgditoro), or dummy for road (road) that exists in village where household is located, and a vector of other fixed factors capturing all the characteristics of household (z). Some other variables (h) representing the access to other kinds of infrastructure are also included as far as they are under control.
Output and variable input prices are assumed not to vary between regions, except for the North-West South which has many of the biggest commercial centers in Vietnam. Thus, this can be presented by a dummy variable (region7) in our log-linear model.

where d is a dummy variable for the North-West South region. The inclusion of this dummy variable is also intended to capture any spatial variations in other omitted or fixed factors. The error term in the models above is assumed to be independently and identically normally distributed. Table 5 lists the right hand-side variables and provides their description.
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Explanatory variables aiming to capture the influence of
household characteristics include household ownership over cultivated land
area; domination of household’s productive activity (in farming or not);
household size; gender of household head; age of household head; and sch
As kinds of inputs such as capital and labor, household’s land and size play an important role in determining the household income. Their influence is expected to be positive.
The majority of Vietnam’s population earns their living through farming. Their incomes, therefore, heavily depend on weather conditions and land fertility. Some others take part in non-farm activities in the growing market where much higher incomes could be gained. Thus, the inclusion of this farm variable is aiming to isolate impacts of the field in which household’s main economic activities are taken on household incomes.
In Vietnam, especially in rural areas, many economic decisions at the household level are normally made by one person. Therefore, his or her age, sex and length of schooling which represent his or her experience, ability and knowledge, partly influence the family income indirectly through his or her decisions. Apart from sex, age and length of schooling of the household head tend to positively impact the household income.
Ele and agexce represent access of rural households to electricity and agricultural extension center. Such kinds of infrastructure will have major effects on household incomes in ‘marginal’ regions such as Vietnam’s poor rural areas. Their impact is normally expected positive.
Of course, the presence of ‘roads’ in communities, distance to ‘roads’ and to markets reflect the ability of households to access services provided by transport infrastructure. Although transport is not the aim of people, it provides a means to raise rural household incomes through economic activities of rural inhabitants. The easier the access to infrastructure, the more time rural inhabitants can save and devote to other profitable activities, and the greater the chance they have to diversify their production activities.
In some regions in Vietnam, people travel and transport goods mainly by road, and in some other regions, they use waterways. This depends on the geographical distribution characteristics of each region. Therefore waterways are considered a complementary transport infrastructure and represented by one variable in our regression model.
Because the North-West South region of Vietnam has many large economic and commercial centers, the dummy variable for household being located in this region should be involved to isolate the impacts of the difference in prices between regions and also capture other fixed factors differentiated by economic characteristics of this region.
A number of functional form specifications were tested including linear, semi-log, with and without quadratics in some variables. OLS is used on a regression sample consisting of all rural households (including farm and non-farm) for which the data are complete. Results are reported in Table 6.
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Both regressions reveal that all the variables related to transport infrastructure are found to have significant impacts on household incomes, showing the importance of transportation in rural areas.
In the first regression with the main regressor lgditoro, the interpretation of the coefficient of this variable is applicable and has explanatory power in the case when the village where the household is located does not have road that a car can travel on. Then, 1-% increase in the distance to the nearest road will lead to 1.5-% decrease in the mean incomes of the households at the significance level of 2.7%. At the same time, if households in the village can access to waterway, their mean incomes will be increased by 44%. This implies that when villages do not have ‘road’, the presence of waterway convincingly explains the importance of transportation in rural areas.
The second regression will give a more clear and comprehensive analysis of the impacts of household’s access to the network of ‘road’ and waterway on rural household’s incomes, although it has less quantitative sense than the first one. The results are reported in Table 7.
It is should be noted that in Table 7 the comparison made is based on the benchmark case in which the village where households are located has neither ‘road’ nor waterway. In particular, households located in villages that have ‘road’ or waterway alone will have mean incomes (15.3% or 45.6% respectively) higher than those located in villages that have neither ‘road’ nor waterway.
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Source: Author’s calculations
from Table 6. |
Despite the importance of roads, it would appear that having access to waterways, electricity, agricultural extension centers, and diversifying into non-farm activities are much more important for improving rural standards of living.
Conclusions
and Policy Implications
Although local roads in rural areas make only a modest contribution to national income growth they are likely to have a direct and significant impact on the daily life of the poor. Therefore, improvements of rural transport infrastructure lead to income redistribution through providing basic education, nutrition, health, and access to employment and product markets for rural inhabitants. For farmers in general, improved rural transport can reduce production costs by lowering the delivered price of inputs, including capital and information by facilitating increased speed of know-how and technological diffusion. Reliable access to input and output markets can stimulate higher cash-crop farming production and more stable incomes, and enable the farmers to improve their management of risks.
Rural poverty is found to be negatively correlated to access to transport infrastructure. The rates of poor households in communes that have motorways to their centers are found lower than the rates of poor households in communes that have no motorways to their centers. Furthermore, on average, the poor have to travel more than the non-poor to the nearest motorway.
A high positive correlation is found between the rates of communes having motorway and the rates of communes having electricity or electric transformation station.
In Vietnam, the rate of school age children not going to school is increasing because they have to travel long distances to schools owing to the fact that there are very few schools in rural areas.
The higher the rate of communes having motorway, the higher the rate the rural inhabitants of these communes can access social health care service.
In relation to poverty elimination program of the country in the coming years, transport development is an extremely important requirement that can not be overlooked. To raise living standards, especially in rural areas, it is necessary to build infrastructure in which the transport sector, together with the power, water supply, education sector, etc. must outstrip to create an early premise for the rural development. We should consider the followings:
§ Consolidation, upgrading and new construction of a number of national and provincial roads, the construction of new roads leading to important economic areas. Focusing on reconstruction, rehabilitation and the upgrading of some roads or some main sections which serve internal and external transportation. The remaining national roads, should receive repairs of some weak bridges and roads.
§ Paying attention to the construction and upgrading of roads linking communes and villages. A target should be set for the near future. That is 4-wheel vehicles can reach commune capitals or centers. This will be the foothold for urbanization of the country and the increase of goods production.
§ As for rural roads, special attention is to be paid to mountainous roads in the North, in Tay Nguyen Region and roads in the Mekong Delta where there are many canals: abolishment of mono-rod bridges; developing additional provincial road system especially the rural and mountainous ones, where traffic is not good, in order to serve the local development of economics, culture and defense security; trying to build roads to districts and villages where there are no motorways yet, increasing the rate of bitumen paved provincial roads in the near future.
§ Along with the development and strength of the road system, focus on appropriate investment for road management and maintenance. Project selection should have adequate consideration with regard to the poor. Mobilize more capital from the private sector and let the inhabitants participate in the decision making process on investment in transport infrastructure.
§ The labor-based methods, which save the cost of road works and create jobs in rural areas, should be used in construction or rehabilitation of rural transport infrastructure. There will be other benefits including savings on foreign exchange, injection of cash into the local economy, and transfer of knowledge.
