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2013 | OriginalPaper | Buchkapitel

3. The Impact of Trade on Technological Change and Long-Run Growth

verfasst von : Dr. Patricia Hofmann

Erschienen in: The Impact of International Trade and FDI on Economic Growth and Technological Change

Verlag: Springer Berlin Heidelberg

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Abstract

International Trade Theory and Growth Economics have always exhibited a parallel evolution. This can be seen best with New Trade Theory and New Economic Growth Theory both shifting their modelling focus to the Dixit-Stiglitz framework of monopolistic competition at the end of the 1980s. Needless to say that the overlap of these disciplines, the study of the ‘impact of international trade on technological change and economic growth’, applies these tools as well. The major works that emerged from this line of research are the seminal contributions of Grossman and Helpman (1991a), Rivera-Batiz and Romer (1991a) and Young (1991). Also the ‘quality ladder approaches’ to endogenous economic growth, that mainly highlighted the Schumpeterian innovation-rent destroying effect of competition (seminal to this are Aghion and Howitt (1992) and Grossman and Helpman (1991a)), are often consulted when talking about the effects of international liberalisation on growth. The main conclusion from this line of argumentation is that trade openness fosters competition and thus entails negative effects for innovation and growth.

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Fußnoten
1
See also Grossman and Helpman (1995) and Rivera-Batiz and Romer (1991b).
 
2
Indeed the term ‘International Openness’ instead of ‘Trade Openness’ should more appropriately be used since most of the discussed effects prevail equally for internationalisation via FDI and multinational enterprise activities.
 
3
E.g. Gilbert and Newbery (1982) and Fudenberg and Tirole (1986).
 
4
For more detailed derivations of all aspects that are inhered from the baseline Melitz (2003) model, it is again referred to Hofmann (2009).
 
5
Often called CES- or Dixit-Stiglitz-Agreggator.
 
6
These fixed market entry costs are for example expenditures for market research or product adjustment to local requirements. Helpman et al. (2004) talk about costs of forming a distribution and service network in the domestic as well as in the foreign market.
 
7
Melitz (2003) does not propose a concrete distribution. However, most authors use a Pareto distribution in order to reduce the analytical complexity of heterogeneous firms models. It also gives a distribution of firm productivity levels that is close to reality (Gustafsson and Segerstrom 2010).
 
8
With the individual productivity level \( {\varphi_i} \), unit labour requirement is \( {\varphi_i}^{-1 } \).
 
9
To show this, simply draw two linear profit functions, one steeper and with a more negative ordinate intercept representing HT.
 
10
More details on her empirical finding are discussed in Sect. 3.4.
 
11
This holds as well for the ‘ideal-variety’ interpretation.
 
12
Note that for a given time period \( t \), the final good production function \( Y \) exhibits constant returns to scale with positive but decreasing marginal products of both input factors, production labour \( {L_Y} \) and capital Q. B is a proportionality factor.
 
13
Compare also his Romer (1986) model.
 
14
As Bernard of Chartres’ twelfth century metaphor ‘Standing on the shoulders of past giants’ implies.
 
15
The ‘knowledge-driven’ model.
 
16
These thoughts are even more important in the context of FDI and MNE since such knowledge spillovers are found to be heavily localised (Jaffe et al. 1993). This will be elaborated in more detail in Chap.​ 4.
 
17
There are studies distinguishing between different kinds of destinations, i.e. developed or developing. See the survey by Wagner (2011).
 
18
Learning-by-doing occurs in the context of industrial trade and growth a second time, but in a more negative manner. The basic idea in Young (1991) is that learning-by-doing processes create comparative advantages as time goes by which cannot develop when a country is exposed to trade too early. It might be the case that for a given point in time, the trade structure is determined by given comparative advantages that are different from those that would have prevailed some years later when keeping the economy closed up to then. As trade is opened too early, the country sticks for all time to this ‘wrong’ trade pattern.
 
19
For details on the solving procedure it is referred to Acemoglu (2009).
 
20
Equally, \( a=\alpha \). Final good production is Cobb-Douglas. Note again that intermediates are good but no perfect substitutes as the additive separability of the production function suggests. An increase in the amount of a single intermediate variety has no influence on the marginal product of other varieties.
 
21
See standard microeconomic textbooks e.g. Mas-Colell et al. (1995).
 
22
Time index omitted for short.
 
23
Unel (2010) assumes the final good to be non-durable. With \( {\varphi_i}^{-1 } \) being unit investment requirement, \( q/\varphi \) units of the final good must be invested to produce \( q \) units of an intermediate.
 
24
Compare (3.3) and (3.10). Mind the difference to Melitz (2003) and Bustos (2011): wages are not used as numeraire but final product prices. No fixed costs of production are introduced at this stage since variety development is explicitly modelled.
 
25
For a detailed derivation see Hofmann (2009).
 
26
Mind again that the need of externalities for endogenous growth is due to the usage of the non-accumulable factor labour in variety development. This is the knowledge-driven specification of R&D also used in Rivera-Batiz and Romer (1991a). In an earlier version of his model, Unel also provides a lab-equipment specification without knowledge spillovers.
 
27
Note that there is no exogenous shock or exit probability as in Melitz (2003). See Gustafsson and Segerstrom (2010) for a justification and discussion.
 
28
As in Melitz (2003) \( {\varphi_{pr }}:=inf\left\{ {{\varphi_i}:v({\varphi_i})\ge 0} \right\} \).
 
29
Equally, it is the present discounted value of the stream of average profits, with average profits \( \bar{\pi}=\pi \left( {\tilde{\varphi}\left( {{\varphi_{pr }}} \right)} \right) \).
 
30
See the appendix in Unel (2010).
 
31
As in Melitz (2003) and in Bustos (2011), the entry threshold for the domestic market \( {\varphi_{pr }} \) is higher for the open economy case as compared to the closed economy case.
 
32
Closest to Unel (2010) is the Coe-Helpman specification in Baldwin and Robert-Nicoud (2008) where spillovers are a function of the fraction of imported varieties.
 
33
It resembles an AK growth model specification.
 
34
Melitz (2003): \( \varphi_{pr}^x=inf\left\{ {{\varphi_i}:{\varphi_i}\geq {\varphi_{pr }}\cap {\pi^x}({\varphi_i})\geq 0} \right\} \).
 
35
Taking them as given.
 
36
Mind that with \( \psi <1 \), knowledge spillovers are not ruled out but just reduced. In particular, the ‘standing-on-the-shoulder’ effect \( (\psi >0) \) and the ‘fishing-out-the-pool-of-ideas’ effect \( (\psi <0) \) is still viable (Gustafsson and Segerstrom 2010).
 
37
\( G\left( \varphi \right)=1-{{\left( {{\varphi_{min }}/\varphi } \right)}^k} \).
 
38
Gustafsson and Segerstrom (2010) prove that also the share of labour in R&D is not affected by trade.
 
39
Note again the jump in per capita income in \( {t_0} \).
 
40
One also speaks of vertical innovation in contrast to horizontal innovation.
 
41
The rate of long-run growth is proportional to the rate of innovation in these models.
 
42
I.e. the final good is considered both as consumption and as capital good.
 
43
Aghion and Howitt (2005) assume \( h \) to be a concave function of \( z \).
 
44
Technically, it ensures the technology gap to be 2 at most.
 
45
For comparability to the next paragraph a slightly different representation is used than in Aghion and Howitt (2005).
 
46
\( {s_0}+{s_1}+{s_2}=1 \). \( j=2 \) is not taken into account since there is no purposeful innovation in this sector.
 
47
Which also comprises the creation of new markets. More on these concepts can be found in Geroski (2003).
 
48
See again Table 3.1 for productivity levels at the beginning and the end of period \( t \).
 
49
\( {s_0}+{s_1}+{s_2}=1 \).
 
50
\( u\left( {Q(t)} \right)=\ln {Q_t} \); \( u\left( {Y(t)} \right)=\ln {Y_t} \).
 
51
Navas and Licandro (2011) assume Cournot competition but show how the results change when using Bertrand competition and highlight the suitability of the former market assumption to elaborate the pro-competitive effects of trade.
 
52
Monopolistic competitive models of trade feature both scale effects and no-scale effects through trade. Compare e.g. Krugman (1979) with Krugman (1980).
 
53
With no export market entry costs, this means a reduction of variable trade costs to zero here.
 
54
Peretto (2003) provides another model where also with Bertrand competition the effects of trade liberalisation on welfare and growth are positive.
 
55
In fact a survey on surveys could be written. The most well-known are Edwards (1993), WTO (1998), Giles and Williams (2000a, b), Berg and Krueger (2003), Baldwin (2003), Lopez (2005), Greenaway and Kneller (2005), and Rodriguez (2007).
 
56
The listing of the empirical contributions of the trade and growth nexus here does not claim to capture all existing studies on this topic since the literature is too extensive for this. Instead, contributions are selected by importance and by actuality.
 
57
See most notably the contributions of Andrew B. Bernard and J. Bradford Jensen and their co-authors. Surveys of firm differences within sectors are e.g. given in Bernard et al. (2007) and Tybout (2003).
 
58
See the Melitz (2003) model that is introduced in Sect. 2.1 but also Helpman et al. (2004), Bernard et al. (2003) or Melitz and Ottaviano (2008).
 
59
Theoretically, the openness of an economy is defined as ‘[…]the degree to which nationals and foreigners can transact without artificial (that is, governmentally imposed) costs (including delays and uncertainty) that are not imposed on transactions among domestic citizens[…]’ (Berg and Krueger 2003, p. 5).
 
60
Different implementations are used. The export-led-growth literature typically looks at X/GDP. Others look at (X + M)/(GO + X + M) where GO is gross output (Alexandre et al. 2009). Alcala and Ciccone (2004) use (X + M)/(GDP in PPP-dollars) as the measure of ‘real openness’. Further alternatives are summarised in Squalli and Wilson (2006, Table 1). For a comprehensive critic see Rodrik et al. (2004).
 
61
Others are the ‘Average Black Market Premium’, the index of ‘Trade Freedom’ calculated by the Heritage Foundation, the ‘IMF’s Trade Restrictiveness Index’, the ‘Average Coverage of Non-Tariff Barriers’, the ‘Index of Import Distortions’ estimated by Wolf (1993), or the MAcMaps (Market Access maps) system of the Geneva-based International Trade Center (ITC). For details see Edwards (1998), IMF (2005) and Krishna (2009).
 
62
In this index also FDI flows and stocks as well as portfolio investments and income payments to foreign nationals are included. The sub-index ‘Economic Globalization’ of the ‘CSGR Globalization Index’ of the University of Warwick also includes the latter but does not contain policy distortion variables.
 
63
The terms of trade between primary commodities and manufactures has a negative deterministic trend (Prebisch 1950 and Singer 1950).
 
64
The earliest source is List (1841).
 
65
See Krueger (1978) and other volumes of the series ‘Foreign Trade Regimes and Economic Development’.
 
66
‘Liberalizing Foreign Trade,’ Vol. 1–7, Blackwell Publishing, 1986–1991, by Armeane M. Choksi, Michael Michaely and Demetris Papageorgiou.
 
67
Sachs (1987) questions this view by pointing out that ELG in East Asian Tigers was accompanied by import protection. See also Young (1995) for the contribution of factor accumulation in this growth process.
 
68
See also Greenaway et al. (2002) for a discussion.
 
69
See also Frankel and Rose (2000).
 
70
E.g. Rodrik et al. (2004) and Rodriguez (2007). See also Srinivasan and Bhagwati (1999).
 
71
Why this is an institutional aspect is explained in Clague et al. (1999). It is an indicator for the willingness to hold liquid financial assets via financial intermediates and thus is a proxy for secure property right.
 
72
Surveys on this topic are provided in Saggi (2002) and Keller (2004, 2009).
 
73
These are the pioneering contributions in the field.
 
74
Xu and Wang (1999) also concentrate on capital goods trade and find even a higher influence of imports on international R&D spillovers then the Coe and Helpman analyses.
 
75
See also Chap.​ 4.
 
76
As opposed to those relying on natural or primary resources.
 
77
Defined as the most productive state-industry in India.
 
78
See Nickell (1996).
 
79
Tybout (2000) points out that further work is needed on this topic and this statement is still valid.
 
80
For a comprehensive survey of LBE and related topics it is also referred to Wagner (2011) and Silva et al. (2010).
 
81
E.g. Bernard and Jensen (1999), Greenaway and Kneller (2004), Arnold and Hussinger (2005), and Van Biesebroeck (2003). Which other studies also find self-selection is indicated in Table 3.2.
 
82
Older version: Eaton et al. (2007).
 
83
They also use the plant’s age as Baldwin and Gu (2003), who also find evidence for LBE – particularly for younger plants.
 
84
Fernandes (2007) criticises that the dummy for the trade reform period cannot isolate the corresponding productivity gains as contemporaneous macroeconomic shocks are not controlled for. She adds that also the variation in protection across industries is ignored.
 
85
They also exhibit higher IT-intensities.
 
86
For further studies on the imports and productivity in general it is also referred to Wagner (2011).
 
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Metadaten
Titel
The Impact of Trade on Technological Change and Long-Run Growth
verfasst von
Dr. Patricia Hofmann
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-34581-4_3

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