Stimulus Packages and Long-Term Growth
The recession is likely to lower potential output (addressed in more detail later). For this
reason too, it is important to attempt to assess the impact of fiscal packages on long-term
growth. The composition of fiscal packages, both in terms of revenues and expenditure
items, matters for growth. Dhont and Heylen (2009) show that growth is more likely to flow
from productive government expenditures, such as those supporting education and research
and development (R&D), and low tax rates on capital. An OECD (2008) study shows that, for
given revenue flows, different tax combinations can impact differently growth.
So, can stimulus packages also raise potential output? In addition to the tax structure, fiscal
stimulus could have a positive impact on long-term growth beyond the multiplier effect to the
extent that public investment, in both physical and immaterial infrastructure (such as R&D
and education), affects long-term growth. For the impact on potential output to materialize
however a number of factors must be taken into account. First the impact of physical
infrastructure on output is difficult to pin down and the direction of causality hard to
determine empirically. Nevertheless, there is some evidence from annual and multi-year
growth regressions that infrastructure investment has positive effects that go beyond the
impact expected from an increase in capital stock. Furthermore, infrastructure investment
appears to have a nonlinear effect with, on average, a stronger long-term effect on growth at
lower levels of provision. These effects are not commonly shared across OECD economies,
where there is some evidence of both under- and over-provision and of both efficient and
inefficient use of investment.
Second, before undertaking investment in new capacity, it is important to ensure that best
use is made of existing infrastructure. User fees and congestion charges can play a key role
in ensuring efficient use of scarce infrastructure and also give more accurate signals as to
where additional capacity may be warranted. Curbing the anti-competitive practices of
incumbent infrastructure operators can also increase effective capacity. Incentive regulation,
such as setting price caps for infrastructure services, can help ensure that investment is cost
reducing and mimics a competitive environment. Independence and accountability on the
part of regulators can help to establish a stable and credible framework for infrastructure
investment.
Third, a competitive environment is generally more supportive of the efficient use of
resources and there is evidence that removing barriers to entry can foster higher rates of
investment in the network industries. Barriers to entry appear to harm investment, especially
in the telecommunication and energy sectors, with vertical integration curbing firm-level
investment in the electricity sector.
Fourth, the impact of public investment on growth should also be assessed in connection
with the provision of other factors of production. One example is investment in research and
development and, more broadly, in innovation infrastructure. A given amount of innovation
related spending will have different impacts depending on the extent to which
complementary factors are available, most notably human capital. Empirical evidence
(OECD 2006; Dhont and Heylen 2009) confirms the positive impact on growth of human
capital and innovation related activities. Therefore, assessments of the impact on growth of
that part of stimulus packages concerned with public investment should also take into
account their composition. In this regard, countries have adopted different strategies. As
Table 4 [ PDF 72.9KB | 1 page ] shows, even in cases in which governments earmark significant resources in the
stimulus packages to innovation support, there is visible variation in terms of composition
within the broader category of long-term spending. However, further work is needed to
assess the impact of the composition of fiscal packages on long-term growth for a given
amount of stimulus.
Download this Paper [ PDF 296.4KB| 23 pages ].
Post a Comment | We welcome your feedback on this publication. Post a comment. ADBI is not obliged to acknowledge or publish comments and may abridge or edit them before web posting. |
Comment(s)
There are [0] comment(s) for this entry. Post a comment.
|
The views expressed in this paper are the views of the authors and do not necessarily reflect the views or policies of the Asian Development Bank Institute (ADBI), the Asian Development Bank (ADB), its Board of Directors, or the governments they represent. ADBI does not guarantee the accuracy of the data included in this paper and accepts no responsibility for any consequences of their use. Terminology used may not necessarily be consistent with ADB official terms.
|
|