Trade liberalisation, health care and international fragmentation: the role of health capital mobility.
Chatterjee, Tonmoy ; Gupta, Kausik
This paper delves into the complex relationship between health
trade through international fragmentation and health trade through
commercial presence. A neo-classical full employment four sector static
general equilibrium model has been developed, where the three sectors
produce final products except the health intermediate goods producing
sector. The paper shows that expansion of health trade through
commercial presence implies, under some reasonable conditions,
enhancement of the volume of health trade through international
fragmentation. It also shows that the composite volume of trade in
health services through international fragmentation and commercial
presence increases the size of the health care in our stylised small
open economy.
JEL Classification: 110, F11, F21, D58
Keywords: Health Sector, Health Intermediate Sector, International
Fragmentation and International Health Capital Mobility
1. INTRODUCTION
It has been specifically pointed out in General Agreement on Trade
in Services (GATS) that trade in health services occur through four
modes. These are namely, (1) cross-border supply: where the service is
provided remotely from one country to another, such as telemedicine via
Internet or satellite, or international health insurance policies; (2)
consumption abroad: where individuals use a service in another country,
such as patients travelling to take advantage of foreign health care
facilities; (3) commercial presence: where a foreign company sets up
operations within another country in order to deliver the service, such
as hospitals, health clinics or insurance offices, and (4) presence of
natural persons: where individuals such as doctors, nurses or midwives
travel to another country to supply a service there on a temporary
basis. In this paper we have considered only trade in health services
via the mode of commercial presence. The consideration of this mode of
health trade becomes important mainly due to the massive presence of
foreign direct investment (FDI) in health care in the post globalisation
era of any developing economy. (1) However, there is dearth of
theoretical works which have considered health trade in the context of
international trade. In particular, there is almost no study (empirical
as well as theoretical) that has considered health trade through
international fragmentation. This issue has also not been considered in
any one of the four modes of GATS.
It is to be mentioned in this context that the term international
fragmentation is widely used in the literature on international trade.
For instance, Jones and Kierzkowski (2005), Deardoff (2001), Jones and
Marjit (2001), Marjit (2008), Marjit (2009) and Marjit, Beladi, and
Chakraborty (2004) etc. (2) have nicely defined international
fragmentation and have discussed its various implications. The term
international fragmentation implies that the production process is
dependent on intermediate inputs from abroad. In India, over 65 percent
of the medical equipments are still being imported from abroad in a very
fast growing domestic market, which was 80 percent--90 percent in the
pre liberalisation period. This implies health service sector is
internationally fragmented. Not only for India this is also relevant for
many other developing economies. However, neither of the modes of GATS
has captured this issue in spite of its relevance in a globalised world.
The present paper is an attempt to analyse theoretically the
consequences of incorporating the issue of international fragmentation
in the context of the health sector. In fact this paper is probably the
first attempt to examine theoretically the interrelation between
different patterns of health trade like commercial presence and
international fragmentation. The present study thus not only focuses on
an aspect that is not mentioned in any one of the modes of GATS but also
tries to link mode 3 of GATS with international fragmentation. In other
words the paper shows how mode 3 of GATS can be broadly interpreted to
incorporate international fragmentation.
In the literature all the authors, as mentioned earlier, have
discussed either the causes behind the term international fragmentation
or have related fragmentation with the pattern of trade. Unlike others,
in this paper we are interested to identify FDI as a source of
international fragmentation. This is something new in the context of the
literature on international fragmentation. Given the fact that trade
through international fragmentation is possible due to inflow of FDI,
there is enough scope to analyse the impact of trade through
international fragmentation, in the presence of health capital mobility,
on the size of the health care. This is consistent with GATS view that
commercial presence (inflow of FDI) is a major source of health trade
for any developing economy. Moreover, this issue becomes more relevant
for the policy-makers in the context of mobile health capital regime.
In this paper we have tried to examine the impact of trade in
health services via commercial presence and international fragmentation
on the output levels of a health care of a small open developing
economy. Moreover, we have found in our study that finite changes in
trade policy through commercial presence in a health care may enhance
the volume of health trade due to international fragmentation. It also
shows that the composite volume of trade in health services through
international fragmentation and commercial presence increases the size
of the health care in our small open economy.
The paper is organised in the following manner. Section 2 considers
the model. It has one subsection. Subsection 2.1 considers the drive
towards fragmentation and health sector. Finally, the concluding remarks
are made in Section 3.
2. MODEL
We consider a small open economy consisting of four sectors in a
Fleckscher-Ohlin-Samuelson framework. Out of the four sectors, one is an
export sector (A), which produces an exportable composite good (XA)
(other than health) using unskilled labour (L) and capital (K). The
second sector is an import competing sector (M), which produces
importable good ([X.sub.M]) using skilled labour (5) and capital. The
third and fourth sectors of our economy are the domestic intermediate
health good producing sector (I) and the health sector (H) respectively.
Sector I uses skilled labour along with health capital (N) for
production of the intermediate health product ([X.sub.l]) of our economy
and the health sector uses health capital, (3) skilled labour and
intermediate health input ([X.sub.l]) to produce another exportable
product ([X.sub.H]). Flere we assume that the requirement of
intermediate goods for the production of one unit of output of the
health sector is fixed. Competitive markets, CRS technology, diminishing
marginal productivity and full employment of factors of production are
also assumed.
The notations used in the model are stated as follows:
[X.sub.i] = product produced by the rth sector,
i = A, M, I, H;
[P.sup.f.sub.A] = world price of commodity A;
[P.sub.A] = domestic price of commodity [X.sub.A], we assume
[P.sub.A] = [P.sup.f.sub.A] = 1;
[P.sub.M] = world price of good [X.sub.M];
[P.sub.I] = domestically determined price of [X.sub.I];
[P.sup.f.sub.I] = price of the foreign intermediate commodity;
[P.sub.H] = world price of [X.sub.H];
[[alpha].sub.ji] = quantity of the jth factor for producing one
unit of output in the ith sector, j = L,K,S,N and i = A,M,I,H;
W = competitive unskilled wage rate;
[W.sub.S] = skilled wage rate;
r = rate of return to capital;
R = rate of return to health capital;
[zeta] = nutritional efficiency of unskilled labour and
[zeta].sup./] > 0 ;
[gamma] = nutritional efficiency of skilled labour and
[[gamma].sup./] > 0 ;
^ = proportional change, d = domestic and f = foreign.
The structure of equations of the model is as follows.
The competitive equilibrium conditions in the product market for
the four sectors give us the following equations.
[a.sub.LA] W + [a.sub.KA] r = 1 (1)
[a.sub.SM] [W.sub.S] + [a.sub.KM] r = [P.sub.M] (2)
[a.sub.SI] [W.sub.S] + [a.sub.NI] R = [P.sub.I] (3)
[a.sub.SH] [W.sup.f.sub.S] + [a.sub.NH]/R + [a.sub.IH] [P.sub.I] -
[P.sub.H] (4)
For simplicity we assume that [a.sub.SH] and [a.su.IH] are given to
us and we have also assumed that [W.sup.f.sub.S] > [W.sub.S].
Equilibrium condition for the health intermediate sector is given
by
[a.sub.IH] [X.sub.H] = [X.sub.I] = [X.sup.d.sub.I] +
[X.sup.f.sub.I] (5)
Sector specificity of unskilled labour is given by the following
equation
[a.sub.KA] [X.sub.A] = L[zeta] ([X.sub.H]) (6)
Perfect mobility of capital between sectors A and M can be
expressed as
[a.sub.KA][S.sub.A] + [a.sub.KM] [X.sub.M] = [K.sup.d] = [K.sup.d]
+ [K.sup.f] = K (7)
Full employment of skilled labour implies the following equation
[a.sub.SM][X.sub.M] + [a.sub.SI][X.sub.1] + [a.sub.SH][X.sub.H] = S
[gamma]([X.sub.H]) (8)
Perfect mobility of health capital between sectors H and 1 can be
expressed as
[a.sub.NH][X.sub.H] + [a.sub.NI][X.sub.I] = [N.sup.d] + [N.sup.f] =
N (9)
This completes the specification of our model. We have nine unknown
variables--W, [W.sub.S], r, R, [P.sub.I], [X.sub.A], [X.sub.M],
[X.sub.I], and [X.sub.H]--that are solved by nine Equations, (1)-(9),
for the given parameters, [P.sub.A], [P.sub.M], [P.sub.H], L, K, S and
N.
Here we are eager to find out the cause and implications of
international fragmentation (IF) in the presence of a health care. In
this model sector 1 has been considered as a domestic intermediate
health good pioducing sector. This intermediate good can be imported by
the health sector from foreign bi it in this case it has to incur an
intermediate cost ([PHI]) mainly due to transaction or communication
factors. (4) Thus whether the health service sector is going with IF or
no IF, that depends upon the following conditions,
(i) IF is preferable if ([W.sup.f.sub.S] - [W.sub.s]) [a.sub.SI] +
([R.sup.f] - R) [a.sub.NI] > [PHI] (N), (10.1)
(ii) IF is not preferable if ([W.sup.f.sub.S] -
[W.sub.S])[a.sub.SI] + ([R.sup.f] - R) [a.sub.NI] < [PHI] (N) (10.2)
So far we have considered that internationally health capital is
immobile and hence N has been treated as exogenous. Now we want to take
into account the case of international health capital mobility, implying
N is to be treated as an endogenous variable. This is very crucial in
the context of the present paper. In most of the studies related to
fragmentation the authors have considered the change in the gap between
price of domestic intermediate and price of foreign intermediate as main
cause of trade through IF, whereas in this paper we want to show that
mobility of health capital causes trade through IF. In the regime of
international health capital mobility the equation structure remains
similar to that of earlier. The only change that we have to note is that
N becomes endogenous and R is fixed at [R.sup.f]. Thus the number of
unknowns and number of independent equations remain same and hence the
system can be solved.
Let us start with a movement from regime of international health
capital immobility to regime of international health capital mobility
and hence R will go down. From Equation (4) we can say that a fall in R
leads to an increase in [P.sub.I], since [P.sub.H] and [W.sup.f.sub.S]
are exogenously given. By using similar type of arguments from Equations
(1), (2) and (3) we can infer that finite increase of N causes rise in
W, [W.sub.S] and fall in r. (5) Thus above mentioned inequalities can be
rewritten as
(i) [PSI] (N) > [PHI](N), (10.1)
(ii) [PSI](N) < [PHI](N) (10.1)
The above analysis can be explained with the help of Figure 1. (6)
[FIGURE 1 OMITTED]
In this paper we find that there exist two critical values of N
such that for all [N.sub.[member of]][[N.sup.1], [N.sup.2]] there will
be IF. Here [N.sup.2] is the international health capital market
clearing level of health capital. It is to be noted for [N.sub.[member
of]] [0, [N.sup.1]] there will be no fragmentation. Actually by using
this interval we want to explain the initial stage of economic growth of
any developing economy, since here we assume [N.sup.f] is zero up to
[N.sup.0]. As we move towards [N.sup.1] it implies the economy needs
more of N, it also implies the need for foreign intermediate health
product. At [N.sup.1] (point [E.sub.I]) we can arrive at a situation,
where health service sector will be indifferent between IF and no IF.
Hence to fill up the demand for health care, sector H has to import more
foreign health intermediate products. Thus it is clear from the above
figure that movement from lower level of N (say [N.sup.I]) to a higher
level of it (say towards [N.sup.2]) causes further increase in IF in
health care. Here point [N.sup.2] (point [E.sub.2]) implies a threshold
level of health capital where we will reach again to a situation where
sector H will be indifferent between IF and no IF. The only difference
between [E.sub.1] and [E.sub.2] is that, at [E.sub.1] the economy has
low level of health capital resulting in IF, whereas at [E.sub.2] the
economy has very high level of health capital implying that sector H has
made its own infrastructure for intermediate health product. It implies
after [E.sub.2] the economy will be indifferent between IF and no IF.
We state the results in the form of following proposition.
Proposition 1: If [[PSI](N) - [PHI](N)] > 0 for N [epsilon]
[[N.sup.1], [N.sup.2]], trade due to international fragmentation in
health service sector will rise through trade liberalisation and foreign
health capital mobility.
2.1. The Drive towards Fragmentation and the Health Sector
An increase in A implies a fall in R. To examine the impact of an
increase in A on [X.sub.H], we are modifying the Equation (9) as
follows. Using Equation (5) in Equation (9) we get
([a.sub.NH] + [a.sub.NI][a.sub.IH])[X.sub.H] = N (9.1)
From Equation (9.1) we can argue that a reduction in R implies an
increase in unit health capital demand of sectors H and I. Again a rise
in A causes a rise in supply of health capital. Thus [X.sub.H] will go
up if change in supply of health capital dominates the change in demand
for health capital. This is usual in case of a small open developing
economy, because purchasing power of consumers of health capital in
these economies is very low. From Equation (5) we can infer that an
expansion of health care leads to an increase in [X.sup.f.sub.I]. From
Equation (6) we can say that a rise in [X.sub.H] causes an increase in
[X.sub.A] due to both--Nutritional Efficiency Effect (NEE) and Factor
Price Effect (FPE). A fall in R will lead to a reduction in per unit
labour demand in sector A. Thus from Equation (6) we can infer that,
given nutritional efficiency factor, a movement towards health capital
mobility will enhance the output level of sector A. We call it FPE.
Again a rise in [X.sub.H] implies a rise in nutritional efficiency of
labour and hence it will cause an expansion of sector A. We call it NEE.
Using these arguments from Equation (8) one can observe that there is
another rise in [X.sub.H]. The first rise in [X.sub.H] as already
mentioned, is mainly due to infrastructure developmental aspect of
health capital mobility. However, the second rise in [X.sub.H] is due to
two different aspects, first, because of nutritional efficiency aspect
of health capital mobility on both types of labour and second because of
the impact of international fragmentation. Regarding the first effect it
is to be noted that an increase in [X.sub.H] due to a rise in N leads to
an increase in [zeta]([X.sub.H]) and [gamma]([X.sub.H]). From Equations
(6) and (7) we can argue that a rise in L [zeta]([X.sub.H]) leads to an
expansion of sector A and a contraction of sector M. A fall in XM
implies sector M releases some amount of skilled labour on one hand and
on the other hand a rise in S[gamma]([X.sub.H]), due to rise in
[X.sub.H], implies productivity of skilled labour will go up. Thus
combining these nutritional efficiency effects one can say that sector H
will definitely improve. Regarding the second effect we find that an
increase in [X.sub.H] due to rise in N leads to fall in [X.sup.d.sub.I]
and rise in [X.sup.f.sub.I]. This is mainly due to the presence of
international fragmentation. Thus contraction of domestic health
intermediate goods producing sector implies availability of S and N to
sector H will increase and hence output levels of health care will go
up.
Proposition 2: A movement from a regime of no fragmentation towards
a regime of fragmentation (or towards a regime of international health
capital mobility) leads to an increase in the levels of output of health
care and a reduction in the level of output of the domestic intermediate
health goods producing sector.
3. CONCLUDING REMARKS
The present paper considers a four sector general equilibrium
structure where the third and fourth sectors are intermediate health
goods producing sector and health service sector respectively. In this
model we have captured the positive production externality of health
service sector for both types of labour through nutritional efficiency
factors. In such a setup we have shown that a movement towards health
capital mobility may increase the possibilities of health trade through
international fragmentation. Thus policy makers can use the mobility of
health capital as an instrument for controlling the volume of health
trade through international fragmentation. Apart from this here we have
examined the impact of trade liberalisation in the form of regime change
on the output levels of different sectors, in the presence of a private
health care. In this part we have shown that a change in regime from
international health capital immobility to international health capital
mobility, leads to an expansion of health service sector and hence it
increases the demand of imported health intermediate product. Thus an
improvement of health trade through commercial presence may uplift trade
of health services due to international fragmentation.
Appendices
APPENDIX 1
1. Shape of [PHI](N) Schedule
Initially we have assumed a very high and fixed intermediate cost
for N [member of] [0, [N.sup.0]], it implies [PHI](N) schedule is
horizontal up to foreign health capital immobility. As we have entered
into the region of health capital mobility it implies the cost related
to transaction and communication factors will decline because technology
will be transferred from north to south and medium of communications and
transactions will become more cheap compared to the situation of no
health capital mobility. Thus it will be downward sloping for N [member
of] [[N.sup.0], [N.sup.2]]. Cost related to communication and
transaction factors are declining is a fact but it will decline up to
[N.sup.2] and after that [PHI](N) schedule will become horizontal, as
[PHI] will be fixed at its minimum value.
2. Shape of [PSI](N) Schedule
Since R is fixed in the region of health capital immobility, it
implies the left hand side of inequality (10.1) will also remain fixed
and hence [PSI](N) becomes horizontal for N [member of] [0, [N.sup.0]].
As we move towards health capital mobility, we may have different
situations and that will affect the shape of [PSI](N) schedule. If
initially we assume that fall in R dominates the increase in [W.sub.S]
and [PSI](N) becomes upward rising and after a large amount of inflow of
foreign health capital, the [PSI](N) becomes downward sloping due to the
assumption that an increase in [W.sub.S] dominates the decline in R.
Thus [PSI](N) schedule will be of inverted U shape for N [member of]
[[N.sup.0], [N.sup.2]]. After [N.sup.2] it will be horizontal as R is
fixed at [R.sup.f].
APPENDIX 2
Here we consider the following,
[[theta].sub.ji] = distributive share of the jth input in the ith
sector and
[[sigma].sub.i] = elasticity of factor substitution in sector i, i
= A, M, 1, H.
Differentiation of equation (4) gives us
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (A.1)
Where, [A.sub.1], [A.sub.2] > 0.
Differentiation of Equation (3) gives us,
[a.sub.SI] [dW.sub.S] + [W.sub.S] [dca.sub.SI] + [a.sub.NI] dR + R
[da.sub.NI] = [dP.sub.I]
From the envelop condition we get
[W.sub.S] [da.sub.SI] + R [da.sub.NI] = 0
Using envelop condition we get
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII],
Using (A. 1) we get
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (A.2)
Where, [A.sub.3] > 0.
Differentiating Equation (2) we get
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (A-3)
Similarly from Equation (1) one obtains
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (A.4)
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University, Kolkata.
Marjit, S. (2009) Two Elementary Propositions on Fragmentation and
Outsourcing in Pure Theory of International Trade. CSSS, Calcutta.
(Mimeographed).
Marjit, S. and K. Gupta (2008) International Capital Mobility and
Child Labour. Paper presented at 4th Annual Conference on Economic
Growth and Development, Indian Statistical Institute, New Delhi.
Marjit, S., H. Beladi, and A. Chakraborty (2004) Trade and Wage
Inequality in Developing Countries. Economic Enquiry 42:2, 295-303.
(1) Feedback ventures expect private equity funds to invest at
least USS 1 billion during 2009-2013. 12 percent of the US$ 77 million
venture capital investments in July-September 2009 were in the
healthcare sector. GE plans to invest over US$ 3 billion on R&D, US$
2 billion to drive healthcare information technology and health in rural
and underserved areas, US$ 1 billion in partnerships, content and
services, over the next six years. International clinic chain Asklepios
International plans to invest US$ 100-200 million in the Indian
healthcare market. Gulf-based group Dr Moopen is planning to invest US$
200 million for setting up hospitals and eye-care centres across India.
Fortis is planning to invest US$ 55 million to expand its pan-India
operations. In the recent decade the medical devices and equipments
industry has been successful in attracting foreign direct investment too
though this sector is importing 50 percent-60 percent till now. From
merely US$2.3 million in 2000 it reached US$ 147.69 million in 2009.
Some of big foreign firms in the sector invested in India either
directly or through collaborations and joint ventures. Some to mention
are GE (USA), Isoft (Australia), Proton Healthcare (USA) and Seimens
(Genuany) etc.
(2) Jones and Marjit (2008) have considered a general equilibrium
framework and from which they have argued that trade may lead to more
fragmented activities relative to autarky even if one observes
specialisation. Again Marjit, Beladi, and Chakraborty (2004) have shown
that reduction in the price of intermediate product may lead to a zone
which is more fragmented. They have also examined the impact of
fragmentation on skilled-unskilled wage gap.
(3) By the term health intermediate goods we actually mean those
commodities which are exhausted in the course of production in the
health service sector (H), e.g. injectable goods and its associated
products, several chemicals, equipments used in pathology and different
forms of medicines. Again by health capital we mean those equipments and
products which are not exhausted in the production process, e.g. ECG
machine, X-ray machine etc.
(4) Interested readers may look at Marjit, Beladi, and Chakraborty
(2004) for the definition of international fragmentation that we have
used in this paper. The RHS of both (10.1) and (10.2) are implying the
gap between cost of domestic intermediate health service provider at
[W.sup.f.sub.S], [R.sup.f] and cost of domestic intermediate health
service provider at [W.sub.S], R. Now IF is preferable if this gap is
greater than the fixed cost associated with import of intermediate
health services and IF is not preferable if this gap is less than the
fixed cost associated with import of intermediate health services. For
details one can go through the above mentioned paper.
(5) See Appendix 2 for details.
(6) Shapes of [PHI] and [PSI] schedule have been explained in
Appendix 1.
Tonmoy Chatterjee <tonmoychatterjee.economics@gmail.com> is
affiliated with the Department of Economics, Rabindra Bharatl
University, Kolkata, India. Kausik Gupta
<kausik2kl@rediffmail.com> is affiliated with the Department of
Economics, Rabindra Bharati University, Kolkata, India.
Authors' Note: This paper is apart of the doctoral
dissertation of Tonmoy Chatterjee, which is in progress for PhD degree
of Rabindra Bharati University, Kolkata, India. The authors are indebted
to Prof. Sugata Marjit, Prof. Tarun Kabiraj and Prof. Satya P. Das for
their valuable comments on an earlier draft of this paper. This paper
has also benefitted from the comments of seminar participants at Burdwan
University and Annual Conference (2013) of Indian Econometric Society.
Comments from an anonymous referee have been very helpful in
streamlining the presentation. However, any errors that may remain are
the sole responsibility of the authors.