Indian Jou nal o Economics and Finance (IJEF)
ISSN: 2582-9378 (Online), Volume-5 Issue-2, No embe 2025
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Does Bio echnology Inno a ion D i e Economic
G ow h? Panel E idence om De eloped
Economies, 2018-2023
Na ya Pa el
Abs ac : In oday's wo ld, he bio echnology ield is no jus a
scien i ic de elopmen bu also a pi o al economic con ibu o
ac oss heal hca e, ag icul u e, and many o he indus ies. This
s udy explo es he c ucial ela ionship be ween he bio echnology
inno a ions and he economic g ow h indica o s o 11 na ions o
he yea s 2018 o 2023. A seconda y da ase comp ising 11
coun ies o e 6 yea s was ga he ed and used o conduc
co ela ion and eg ession analyses. These analyses help e alua e
how inno a ion indica o s a ec an economy's g ow h. The
indings e eal a s ong global bio echnological inno a ion
in as uc u e domina ed by he Uni ed S a es, while Swi ze land
shows ex ao dina y inno a ion e iciency du ing he selec ed
pe iod. The co ela ion es shows a s ong posi i e ela ionship
among a ious inno a ion pa ame e s, including Resea ch and
De elopmen Spending and na ions' GDP sha es, as well as
bio echnology pa en egis a ions. Howe e , he eg ession esul s
o bo h Fixed and Random e ec s ail o es ablish an impac ul
ela ionship be ween inno a ion and economic pa ame e s. The
indings sugges ha policymake s should conside longe - e m
da a when e alua ing R&D in es men s and de elop dedica ed
amewo ks o measu ing inno a ion impac s beyond adi ional
GDP me ics. The s udy en iches he inno a ion economics
li e a u e by e i ying he complex, non-linea ela ionship
be ween bio echnology inno a ion inpu s and economic g ow h
ou comes.
Keywo ds: Bio echnology Inno a ion, Economic G ow h, R&D
In es men , Panel Reg ession, Inno a ion Policy.
Nomencla u e:
R&D: Resea ch and De elopmen
I. INTRODUCTION
Bio echnology inno a ion is a no able con ibu o o any
na ion's economic g ow h, a g owing economic indica o o
he 21s cen u y. I is expec ed ha he global bio echnology
ma ke will g ow o 3.88 illion dolla s by 2030. This
assump ion shows a compound annual g ow h a e o mo e
han 7% in many g owing na ions [1].
The economic impac o bio echnologies is said o ex end
well beyond he size o he ma ke ; i is also seen as a ec ing
a na ion's esea ch and de elopmen (R&D) expendi u es.
Manusc ip ecei ed on 30 Sep embe 2025 | Fi s Re ised
Manusc ip ecei ed on 11 Oc obe 2025 | Second Re ised
Manusc ip ecei ed on 29 Oc obe 2025 | Manusc ip Accep ed
on 15 No embe 2025 | Manusc ip published on 30 No embe
2025.
*Co espondence Au ho (s)
Na ya Pa el*, Na achana In e na ional School Vadoda a, Vadoda a
(Guja a ), India. Email ID: na [email protected], ORCID ID: 0009-
0000-1887-0547
© The Au ho s. Published by La ice Science Publica ion (LSP). This is an
open-access a icle unde he CC-BY-NC-ND license
h p://c ea i ecommons.o g/licenses/by-nc-nd/4.0/
Bio echnology pa en s ha e g own by o e 15 pe cen
e e y yea since 2010. This inc eased expendi u e is mainly
seen in many de eloped economies. In such a se ing,
bio echnology R&D accoun s o a conside ably la ge sha e
o o al inno a ion spending.
Ci izens o a ious na ions a e becoming inc easingly
awa e o he economic bene i s om he g ow h o
bio echnology i ms and inno a ions. This hough has led
many coun ies o ame policies ega ding inno a ions and
bio echnology. These plans include de eloping esea ch and
de elopmen acili ies and aining echnical and skilled
pe sonnel in he bio echnology domain. Many s udies ha e
highligh ed a ious bene i s esul ing om bio echnology
inno a ion – inc eased GDP, mo e job oppo uni ies, and a
di icul - o-imi a e in e na ional ma ke [2]. The e a e also
ela ed spillo e s ha boos p oduc i i y ac oss a ious
sec o s in he economy [3]. Howe e , hese bene i s di e by
na ion: some coun ies ha e ad anced acili ies, while o he s
use p o en models ha deli e maximum bene i s wi h
limi ed esou ces.
Bio echnology inno a ion is a ield o scien i ic and
echnical expe ise, and he esul ing p oduc s o se ices
ideally help esol e heal hca e, ag icul u al, and
manu ac u ing challenges. Thus, hese inno a ions a e no
jus labo a o y wo k, as was he case in 1980. Today, his
ield b ings oge he academic esea ch, business g ow h,
en u e unding, and egula o y guidelines; i.e., i s a s wi h
esea ching an inno a ion, de eloping i , and b inging i o
ma ke [4]. The inno a ion g ow h o de eloping na ions
showed an inc easing end, which emphasises he speci ied
planned inno a ions [5]. To suppo inno a ion, e en
in es o s and en u e capi alis s, along wi h a s ong
in o ma ion and echnology in as uc u e, a e now
impe a i e [6]. The inno a ion ules o he coming
gene a ions a e d a ed wi h socie al issues in mind while also
p omo ing economic g ow h [7]. Howe e , a s ong
en ep eneu ial p esence is said o mi iga e he isks
associa ed wi h inno a ion adop ion [8]. Also, o any na ion,
an accessible in as uc u e o inno a ion, wi h enhanced
ne wo king and knowledge sha ing is a boon o he
bio echnology domain [9].
A na ion ha de elops bio echnology inno a ions in a
planned, s a egic way can yield signi ican bene i s o i s
economic de elopmen and o i s inno a ion-suppo
in as uc u e. A s ong inno a ion se up yields obus
economies by gi ing a s ong push o knowledge c ea ion. A
coun y wi h s ong inno a ion policies has s onge expo s,
mo e o eign in es men in
esea ch, and be e social
issue esolu ion.
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The na ional au ho i ies mus be e unde s and how R&D
expendi u e, esea ch in ensi y, pa en gene a ions and
indus y g ow h ela e o economic pe o mance. Many
en u e capi alis s, s a up c ea o s, and in es o s would
bene i om his and may ha e he oppo uni y o examine
his complex in e ac ion in bo h a c i ical and p o i able way.
This may lead o be e policies ha p omo e he op imal
u ilisa ion o esou ces.
The e is a a ied academic li e a u e on bio echnology
inno a ions – some examine ends in R&D expendi u e,
o he s assess he e ec i eness o pa en s, and o he s ocus on
indi idual achie emen s. Bu he e a e e y ew s udies ha
examine how hese bio echnology g ow h indica o s a e
linked o na ions' economic indica o s. Many exis ing s udies
also limi hemsel es o a single a iable in bio echnology,
i.e., hey do no analyse he ull associa ions be ween
inno a ion expendi u e and economic de elopmen a he
na ional le el.
This s udy aims o es he connec ion be ween economic
de elopmen and bio echnology inno a ion o de eloped
economies. I es s whe he a iables such as R&D
expendi u e, pa en p oduc i i y, sec o al g ow h, and
inno a ion in ensi y a ec GDP g ow h o e ime.
Mo e speci ically, he esea ch conside s he ollowing
esea ch ques ions:
RQ1: Wha a e he ela ionships be ween bio echnology
inno a ion inpu s (R&D expendi u e, esea ch in ensi y,
numbe o bio echnology i ms) and inno a ion ou pu s
(pa en p oduc i i y) ac oss de eloped economies?
RQ2: To wha ex en do bio echnology inno a ion ac o s
signi ican ly p edic GDP g ow h o e ime, and wha is he
na u e o hese ela ionships?
This s udy i s p esen s a de ailed li e a u e e iew
discussing he bio echnology ield, i s de elopmen s, and i s
economic implica ions. Then, a b ie me hodology sec ion
explains he esea ch me hods o his s udy. The ollowing
indings sec ion gi es a de ailed analysis o inno a ion and
economic g ow h indica o s. The discussion sec ion
he ea e discusses he analysis, linking i o he li e a u e
e iew. Finally, he conclusion sec ion comp ises key
indings, limi a ions, p ac ical implica ions, and di ec ions
o u u e esea ch.
II. LITERATURE REVIEW
A. Inno a ion and Economic G ow h
Bio echnology inno a ions ha e d as ically changed
de eloped na ions by eplacing con en ional indus ial
me hods wi h sophis ica ed knowledge-based, compe i i e
amewo ks. Bio echnology is no longe jus a s a e-
con olled model; i is now a mode n, p i a e-sec o -led
domain ha is ad ancing h ough inno a ion policies guided
by global compe i ions and na ional sel -su iciency conce ns
[10]. This new shi is a undamen al change in inno a ion
amewo ks, in which egula o y au ho i ies connec he
p i a e and public sec o s h ough modes o pa ne ship,
anchising, and o he mechanisms.
The bio echnology domain has e y high, unce ain capi al
equi emen s, simila o hose o o he highly echnical ields.
Like o he echnical indus ies, i aces apid echnological
ad ances and unce ain demand in he global ma ke [11]. In
i sel , he inno a ion p ocess is haza dous and leng hy. Thus,
he policy amewo k mus suppo long- e m inno a ion
de elopmen while accoun ing o i s unce ain na u e, gi en
he signi ican in es men equi ed.
A na ion wi h a commendable esea ch in as uc u e and
s ong inno a ion ou comes se es as an example o
de eloping coun ies by sha ing i s expe ience, a ailable
expe ise, and ac ual implemen a ion [12]. Empi ical
e idence shows ha complex scien i ic knowledge in o he
de eloped na ions may bo h hinde and suppo b eak h ough
inno a ions, whe eas echnological knowledge om simila
coun ies has a posi i e e ec . This means ha bio echnology
inno a ions in de eloped coun ies need o s ike a p ope
balance be ween s ong local esea ch and global pa ne ships
[12].
B. Na ional Sys ems o Inno a ion and Ins i u ional
A angemen s
Complex ins i u ional agendas ha o ganise di e en ac o s
and lows o knowledge a e i al in ad anced economies o
shaping bio echnology inno a ion compe encies. The
Na ional Sys ems o Inno a ion amewo k highligh s ha
bio echnology inno a ion is he p oduc o he accumula ion
o scien i ic knowledge in esea ch ins i u ions and i ms
(s ock) and i s dispe sal be ween hem ( low) [13]. De eloped
economies will ha e mo e ad anced and ma u e o ms o
such sys ems han de eloping economies.
The ad anced economies ha e buil an expe ienced
bio echnology inno a ion in as uc u e, suppo ed by wo ld-
class esea ch uni e si ies, adequa ely unded go e nmen
esea ch ins i u es, and ad anced p i a e-sec o esea ch
capaci ies. Ins i u ional building me hodically, a he han ad
hoc policy ac ions, cla i ies he e olu ion o bio echnology
inno a ion in he de eloped economies. The Uni ed S a es,
Swi ze land, Ge many, and Sweden ha e de eloped s a egic
na ional bio echnology plans ha combine esea ch suppo ,
egula ion, echnology ans e , and human de elopmen
[14]. These s eps acknowledge ha coope a i e o ganisa ion
among esea ch ins i u ions, public and p i a e i ms, and
o eign associa es is key o ac i e bio echnology inno a ion
[15].
A de eloped na ion uses a ious me hods, such as na ional
inno a ion councils, sec o al inno a ion ins i u ions, and
public-p i a e pa ne ships, o inspi e and de elop
bio echnological inno a ions [16]. These mechanisms a e
highly e ec i e in balancing he need o knowledge sha ing
wi h he ma ke demand o hese inno a ions.
C. R&D In es men Pa e ns and Scale E ec s
R&D spending is one o he signi ican ad an ages ha a
de eloped na ion has o e a de eloping one. R&D
expendi u e i sel is p oo o s ong egula o y policies and
be e planning. De eloped economies ha e a obus
bio echnology inno a ion in as uc u e ha yields long- e m
bene i s [17]. Thei inno a ion s eng h esul s om he
quan i y and quali y o esou ces hey in es in. These
coun ies ha e been obse ed o spend mo e on R&D o build
be e esea ch acili ies and suppo long- e m p ojec s.
Economic scale and inno a i e
po en ial ha e been
empi ically documen ed, and
la ge economies can und
isky, long- e m esea ch
Indian Jou nal o Economics and Finance (IJEF)
ISSN: 2582-9378 (Online), Volume-5 Issue-2, No embe 2025
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p ojec s ha would be a - e ched o smalle economies [18].
Scale e ec s, hough, play ou wi h compe ence
con empla ions in complica ed ways. A ew o he less
de eloped, high-R&D-in ensi y-as-a-pe cen age-o -GDP
economies show ha ins i u ional e iciency and s a egic
a en i eness can o e come limi ed size o some ex en . This
a ainmen indica es ha success in inno a ion in de eloped
economies is no based solely on a ailable esou ces bu also
on he ex en o which hey a e e icien ly u ilised [19].
Ad anced economies ha e become inc easingly in es ed in
bio echnology as a s a egically impo an ield, and R&D
expendi u e has isen sha ply as a sha e o o al inno a ion
spending.
D. Knowledge Ne wo ks and Global Collabo a ion
Bio echnology inno a ion in de eloped economies is
p og essi ely dependen on in e na ional collabo a ion and
global knowledge-sha ing ne wo ks. The complex, esou ce-
in ensi e na u e o mode n bio echnologies equi es global
coope a ion, wi h de eloped na ions se ing as a cen al hub
o a knowledge ne wo k [20]. These cen al hubs no only
compe e bu also collabo a e o lead in echnological
ad ancemen while laying he g oundwo k o esea ch and
esou ces o be sha ed wi h he global scien i ic communi y.
Collabo a ion in bio echnology ad ancemen is essen ial, as
only hen can coun ies capi alise on hei esea ch
pa ne ships and ne wo ks wo ldwide o d i e be e
in en ions and inno a ions [21].
E. Pa en P oduc i i y and Inno a i e Ou pu s
Va ious bio echnology da ase s demons a e ha , in
inno a ion leade ship, a signi ican sha e is held by a ew
na ions, wi h he Uni ed S a es as he dominan playe , along
wi h a hand ul o o he s ha ha e co e bio echnology
inno a ions a he cen e o hei de elopmen [21]. Al hough
pa en egis a ion da a shows a conside able di e ence in he
impac o such inno a ions, i.e., some na ions ha e mo e
pa en egis a ions han esea ch spending. This
demons a es he na ion's s eng h in con e ing academic
esea ch in o applica ion-d i en ou comes h ough p o i able
pa ne ships and collabo a ions. Such na ions a e an example
o how e ec i e esea ch in as uc u e managemen and
s ong knowledge sha ing wi hin inno a ion collabo a ions
bene i he na ion [22]. I is no ewo hy ha he ising end
in pa en ilings indica es ha na ions a e compe ing o
ou pe o m one ano he , pa icula ly in he bio echnology
ield. Thus, a na ion's inno a ion in as uc u e, egula o y
au ho i ies, and inno a ion policies a e essen ial o he global
inno a ion hie a chy.
F. Policy F amewo ks and Economic Impac
I has been obse ed ha apid inno a ion de elopmen
o en akes in o accoun isks and e hical issues [23]. O e he
pas ew yea s, policies ha e become mo e conc e e,
including esea ch unding, ax measu es and subsidies,
echnological ans e p og ammes, and human skills
managemen . De eloped na ions apply c ucial isk-
managemen app oaches o ensu e a sa e and a ou able
en i onmen o inno a ion [24]. Such de elopmen s bene i
no jus he speci ic indus y bu le e age a ious o he
s eng hs o na ions, such as be e job oppo uni ies, mo e
o eign in es men s and hus apid de elopmen . Fo a
de eloped economy, a i m egula o y policy he e o e helps
p o ide a compe i i e ad an age. Bu now and hen, i has
been p o en ha bio echnology inno a ion de elopmen
equi es long- e m planning and e ec i e policy
implemen a ion [25].
III. RESEARCH METHODOLOGY
This s udy aims o in es iga e he ela ionship be ween he
bio echnological inno a ion indica o s and he economic
indica o s. Ini ially, a co ela ion es is conduc ed o examine
he ela ionship be ween he wo, ollowed by a panel
eg ession model wi h economic g ow h as he dependen
a iable and he bio echnological inno a ion indica o s as
independen a iables. The eg ession models es in de ail
whe he hese inno a ion ac o s ha e a s ong in luence on
economic g ow h. The Hausman es suppo s he panel
eg ession model. Fo he same pu pose, he da ase has been
selec ed o he yea s 2018 – 2023, which neu alises he p e-
pandemic, pandemic (COVID), and pos -pandemic damage
and eco e y.
A. Sampling F amewo k
The esea ch uses a balanced panel da ase o 11 coun ies
obse ed o e 6 yea s, yielding 66 o al obse a ions (N =
66). The coun ies we e chosen o hei ela i ely high le els
o R&D expendi u e compa ed o in e na ional pee s, as well
as o hei economic impo ance and con ibu ions o
bio echnology esea ch. This selec ion ensu es co e age o
bo h op esea ch in es o s and majo con ibu o s o global
GDP. Table 1 shows he independen and dependen
a iables.
Table I: Va iables and Ra ionale
Va iable
Type
Va iable
Ra ionale
Dependen
GDP G ow h (%)
P ima y indica o o economic
pe o mance
Independen
Numbe o
bio echnology i ms
Measu e o sec o al scale
R&D expendi u e
Absolu e inancial in es men in
esea ch
R&D in ensi y (%
o GDP)
Measu e o esea ch
p io i isa ion
Bio echnology
pa en s (annual
coun s)
P oxy o inno a ion ou pu s
Economies' sha e o
global GDP (%)
P opo ion o he global
bio echnology ma ke a ibu ed
o di e en economies
B. Da a Collec ion
Seconda y da a was ga he ed om global s a is ical
sou ces, na ional epo s, and bio echnology/inno a ion
pa en da abases. Yea s we e a e aged and ha monised o e
he ele en coun ies o make hem compa able.
IV. ANALYSIS
A. F equency Analysis o Va iables
i.GDP G ow h T ends by
Coun y
Does Bio echnology Inno a ion D i e Economic G ow h? Panel E idence om De eloped Economies, 2018-2023
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[Fig.1: GDP T ends by Coun y]
GDP ends om 2018 o 2023 ac oss 11 majo economies
e eal signi ican luc ua ions, p ima ily d i en by he global
COVID-19 pandemic. F om 2018 h ough 2019, hese
coun ies expe ienced ela i ely s eady, mode a e GDP
g ow h, d i en by s able economic condi ions. Ne e heless,
2020 saw ex ao dina y GDP declines ac oss he wo ld, as
some economies, such as F ance and Japan, su e ed nea - o
below-7 % declines, e lec ing sha p dis up ions igge ed by
pandemic lockdowns and supply chain dis up ions.2021 saw
a s ong economic eco e y ac oss all economies, wi h
g ow h a es anging om 4% o 8%. Denma k and he
Uni ed S a es expe ienced a apid eco e y, especially
demons a ing e ec i e policy esponses and he e i al o
hei economies. Following his inc ease, GDP g ow h
slowed in 2022 and 2023, wi h nume ous coun ies, such as
Aus ia and Ge many, eco ding nega i e g ow h, indica ing
ex e nal challenges om in la ion, ene gy c ises, and
geopoli ical unce ain ies ha a e in luencing he
sus ainabili y o he eco e y. The V-shaped economic cycle
seems o esul om he p e-, ongoing, and pos -pandemic
phases, highligh ing economic dis u bances ac oss a ious
coun ies.
ii. Numbe o Bio ech Fi ms by Coun ies
[Fig. 2: Numbe o Bio ech Fi ms by Coun ies]
In he abo e g aph, i can be obse ed ha he numbe o
bio echnology i ms in he Uni ed S a es g ew om 2500 o
3000 om 2018 o 2023, while in Canada, he numbe ose
om 700 o 2000 by 2023. F ance, which began wi h a ound
2100 i ms, expe ienced a s eady decline o 1800 i ms a e
2021. Ge many, on he o he hand, shows s eady g ow h o
900 i ms in 2023. Japan shows a subs an ial dec ease, i.e.,
om 1300 i ms in 2022 o 300 i ms. Smalle economies
emained s able wi h ewe han 500 i ms.
iii. R&D Expendi u e by Coun y
[Fig.3: R&D Expendi u e by Coun y]
This g aph shows ha esea ch and de elopmen spending
pain s an inconsis en pic u e: he Uni ed S a es doubled i s
expendi u e om abou 62,000 in 2018 o almos 1,20,000 in
2023, demons a ing i s undi ided a en ion on inno a ion
and de elopmen . In o al con as , o he na ions ha e
esea ch spending less han 10,000 dolla s, wi h modes
inc eases o e he yea s. E en i some na ions show a g adual
ise in spending on a high-le el summa y, he inc eases a e
nominal alues only.
i .R&D In ensi y by Coun y
[Fig.4: R&D In ensi y by Coun y]
Resea ch in ensi y shows a ied ends ac oss na ions
du ing he selec ed pe iod. While Belgium shows he mos
ola ile a es — ising and declining, hen ising again —
Swi ze land has only seen a ising end. Sweden main ained
a s ong, s eady pe o mance be ween 0.70% and 0.75%. The
Uni ed S a es eco ded s eady g ow h om abou 0.40% o
0.50%, while Finland expe ienced signi ican g ow h,
jumping om 0.10% in 2018 o 0.55% in 2019 and sus aining
i h ough 2023. In con as , Denma k's R&D in ensi y
declined om 0.60% o 0.20%, and Ge many, F ance, Japan,
Aus ia, and Canada emained
ela i ely low and s able, all
unde 0.20%.
Indian Jou nal o Economics and Finance (IJEF)
ISSN: 2582-9378 (Online), Volume-5 Issue-2, No embe 2025
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. Economic Sha e by Coun y
[Fig.5: Economies Sha e by Coun y]
This g aph shows each na ion's sha e o collec i e GDP
om 2018 o 2023, accoun ing o di e ences in economic
scale. The Uni ed S a es con ols he en i e pe iod wi h a 38-
39% sha e o he o al, bu shows a solid decline o a ound
37% in 2023, indica ing a g adual loss o compa a i e
economic signi icance. Japan s ands second a a much smalle
scale, alling con inuously om close o 12.5% in 2018 o
app oxima ely 8% in 2022, be o e ising o 9.5% in 2023.
This end ollows s uc u al issues such as ageing,
de la iona y p essu es, and so e g ow h compa ed o
associa es. Ge many holds hi d place, s eadily deli e ing 4-
5% g ow h wi h sligh a ia ion, highligh ing i s s a us as
Eu ope's ancho economy and i s s abili y amid global
ola ili y. De eloped na ions ake up lowe le els, 0.5-3%
each. F ance leads his g oup a a ound 3%, and Swi ze land,
al hough i has wo ld leade ship in R&D in ensi y, deli e s
only 1-1.5% because o i s smalle geog aphic and popula ion
scale.
i. Bio echnology Pa en s by Coun y
[Fig.6: Bio ech Pa en s by Coun y]
Bio echnology pa en ing ac i i y du ing he pe iod 2018-
2023 shows dominance by he Uni ed S a es. The Uni ed
S a es has consis en ly anked i s in pa en ing ac i i y, ising
om oughly 9,000 in 2018 o almos 10,500 in 2023,
accoun ing o a ound 60-70% o bio echnology pa en s in
de eloped coun ies. Japan ollows in second place, al hough
well below he Uni ed S a es, beginning a abou 4,000
pa en s in 2018 and inc easing s eadily o app oxima ely
6,500 in 2023. This s eady bu easonable g ow h e lec s
ongoing bio echnology ocus, bes explained by heal hca e
needs o an ageing popula ion and he ecognised
pha maceu ical p esence. Canada shows a dispa a e end,
s a ing wi h a ound 2,200 pa en s in 2018, inc easing slowly
o almos 3,000 by 2021, and hen plumme ing quickly o less
han 500 by 2023. The sudden shi may be linked o unding
adjus men s, pa en eclassi ica ion, e ol ing business
s a egies, o alen mo emen owa d s onge bio echnology
hubs. O he na ions, such as Ge many, F ance, Swi ze land,
Sweden, Denma k, and Finland, p oduced ewe han 500
bio echnology pa en s annually, sugges ing ha , despi e hei
s ong economies and R&D capaci y, hei inno a ion
p io i ies lie elsewhe e.
B. Desc ip i e S a is ics
Table II: Desc ip i e S a is ics o All Va iables
Va iable
GDP
No o Fi ms
R&D Expendi u e
R&D In ensi y
Economies Sha e
Bio ech Pa en s
N
66
66
66
66
66
66
Mean
1.39
889.73
10667.15
0.25
5.98
1656.82
SD
3.05
859.99
27406.25
0.24
10.68
3260.34
Median
1.65
443.50
1558.00
0.12
1.84
14.50
Min
-7.40
70.00
72.15
0.03
0.28
1.00
Max
7.40
3040.00
117108.00
0.87
38.66
11330.00
Skew
-0.63
1.09
2.99
0.94
2.45
1.93
Ku osis
0.55
-0.05
7.54
-0.40
4.59
2.48
In he abo e able o desc ip i e s a is ics, GDP g ow h
shows good esul s, wi h a mean o 1.39 and a median o 1.65.
Howe e , he wide ange om -7.40 o 7.40% indica es ha
while some na ions expe ienced s ong g ow h, o he s aced
majo down all. The nega i e skewness (-0.63) shows ha a
ew down u n pe iods had a subs an ial impac on he o e all
dis ibu ion. Fi m numbe s e eal a s uc u al di e ence: a
high mean (889.73) bu a lowe median (443.5), indica ing
ha a ew na ions ha e a la ge pool o bio echnology i ms.
The posi i e skewness (1.09) con i ms his imbalance,
showing he dominance o ou lie s wi h la ge i m coun s.
R&D spending shows he mos signi ican dispa i y in
dis ibu ion. The mean expendi u e (10,667) is much highe
han he median (1,558), and he high posi i e skewness
(2.99) and ku osis (7.54) con i m a subs an ial con ibu ion
by a hand ul o i ms, while many a e ou lie s. R&D in ensi y,
measu ed as R&D expendi u e ela i e o GDP, shows a
balanced end, wi h a mean o 0.25%, a median o 0.12%,
and low ku osis (-0.40), e lec ing a ela i ely equi able
dis ibu ion o esea ch e o despi e signi ican absolu e
gaps. Economic sha e pa e ns u he con i m concen a ion,
wi h an a e age o 5.98%, a much smalle median o 1.84%,
and a maximum o 38.66%, indica ing dominance by a ew
economies, as indica ed by he high skewness alues.
Bio echnology pa en s mi o he
inequali y in R&D spending,
wi h a mean o 1,657 pa en s
bu a e y low median o
Does Bio echnology Inno a ion D i e Economic G ow h? Panel E idence om De eloped Economies, 2018-2023
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14.5. High skewness (1.93) and ku osis (2.48) highligh ha
mos inno a ion is concen a ed among a ew ad anced
economies. O e all, hese esul s con i m ha a small g oup
o leading economies d i e economic g ow h, R&D
in es men , and echnological inno a ion, while o he s
ope a e a much lowe le els.
C. Co ela ion
The co ela ion analysis p o ides essen ial insigh s in o he
ela ionships among economic indica o s, esea ch
obliga ions, and inno a ion ou pu s ac oss he sampled
economies.
Table III: Co ela ion Analysis o All Va iables
GDP
No o
Fi ms
R&D
Expendi u e
R&D
In ensi y
Economies
Sha e
Bio ech
Pa en s
GDP
1
0.047
0.126
0.151
0.071
0.074
No o Fi ms
0.047
1
0.719
-0.141
0.765
0.725
R&D Expendi u e
0.126
0.719
1
0.233
0.937
0.856
R&D In ensi y
0.151
-0.141
0.233
1
0.094
0.000
Economies Sha e
0.071
0.765
0.937
0.094
1
0.938
Bio ech Pa en s
0.074
0.725
0.856
0.000
0.938
1
The co ela ion analysis highligh s s ong ela ionships
be ween economic scale, esea ch spending, and inno a ion
ou pu . A signi ican inding is he s ong posi i e link
be ween R&D spending and global GDP sha e ( = 0.937),
showing ha la ge economies in es mo e in esea ch due o
g ea e esou ces. R&D spending also s ongly co ela es
wi h bio echnology pa en s ( = 0.856), sugges ing ha highe
in es men s ansla e di ec ly in o inno a ion. Likewise,
R&D in ensi y co ela es e en mo e s ongly wi h pa en
ou pu ( = 0.938), unde sco ing ha economies ha p io i ise
esea ch achie e supe io inno a ion pe o mance.
Economies wi h highe GDP alloca ions o R&D ac i i y a e
ound o yield highe inno a ion ou comes despi e ela i ely
small o e all economic size. This s eng hens he alue o a
policy ocus on R&D in ensi y and commi men a he han
size. Con e sely, connec ions be ween i m numbe s and
o he ac o s a e weak. Co ela ion be ween R&D spending (
= 0.233) and GDP sha e ( = 0.094) by i m numbe s sugges s
ha inc eased i m numbe s do no necessa ily imply g ea e
inno a ion po en ial. GDP g ow h a es also lack co ela ion
wi h R&D o pa en ing ac i i y, implying sho - un
mac oeconomic pe o mance is no necessa ily
commensu a e wi h long- un inno a ion capaci y
commi men s.
D. Fixed-E ec Reg ession
A Fixed E ec s panel eg ession was conduc ed o measu e
he impac o inno a ion- ela ed a iables on GDP g ow h o
selec ed na ions. The model was assessed on a balanced panel
da ase comp ising 11 economies obse ed o e 6 yea s,
yielding 66 o al obse a ions— he Fixed E ec s es ima o
con ols o unobse ed he e ogenei y ac oss coun ies,
which may bias join speci ica ion esul s.
Table IV: Fixed E ec s Panel Reg ession
Va iable
Coe icien
S d. E o
-S a is ic
p-Value
No. o Fi ms
-0.000367
0.002099
-0.175
0.862
R&D Expendi u e
-1.87E-06
9.11E-05
-0.021
0.984
R&D In ensi y
3.8449
4.3078
0.893
0.376
Economies' Sha e
-0.1095
0.9903
-0.111
0.912
Bio ech Pa en s
0.000666
0.001392
0.479
0.634
S a is ic
Value
To al Sum o Squa es (TSS)
569.93
Residual Sum o Squa es (RSS)
552.68
R-squa ed
0.030
Adjus ed R-squa ed
-0.261
F-s a is ic (d = 5, 50)
0.312
O e all Model p- alue
0.903
Fixed E ec s model epo s poo explana o y powe , wi h
R-squa ed 0.030 indica ing 3% o a ia ion in wi hin-coun y
GDP g ow h explained by included a iables. The nega i e
adjus ed R-squa ed (-0.261) highligh s he speci ica ion's
weakness, and he F-s a is ic o 0.312 (p = 0.903) indica es
ha he explana o y a iables a e no join ly signi ican . No
p edic o s we e s a is ically signi ican . R&D in ensi y had
he la ges posi i e coe icien (β = 3.84), bu i was no
signi ican (p = 0.376). Bio echnology pa en s showed a iny
posi i e coe icien (β = 0.0007) bu we e no signi ican (p =
0.634). O he p edic o s showed iny o nega i e coe icien s
wi h li le explana o y powe . These esul s indica e ha he
es ed indica o s o inno a ion and economic s uc u e do no
no ably a ec GDP g ow h in he 2018-2023 pe iod in he
Fixed E ec s speci ica ion. Possible easons include delayed
R&D and he need o longe ho izons o bio echnology
inno a ion, as well as o e looked mac o ac o s such as
ins i u ional quali y and human capi al.
E. Random E ec s Reg ession
Random-E ec s eg ession examined whe he i m-le el
and mac oeconomic ac o s meaning ully p edic GDP
g ow h. Unlike Fixed E ec s, Random E ec s assumes ha
he unobse ed coun y-speci ic e ec s a e unco ela ed wi h
he p edic o s, enabling an app oxima ion ha exploi s bo h
wi hin-coun y and be ween-coun y a ia ion.
Table V: Random E ec s Reg ession
Va iable
Es ima e
S d. E o
/z- alue
p- alue
In e cep
1.034
0.894
1.157
0.247
Numbe o Fi ms
0.000
0.001
0.162
0.872
R&D Expendi u e
0.000
0.000
0.968
0.333
R&D In ensi y
1.459
1.957
0.746
0.456
Economies Sha e
-0.152
0.161
-0.941
0.347
Bio ech Pa en
0.000
0.000
0.558
0.577
Model S a is ic
Value
To al Sum o Squa es (TSS)
605.64
Residual Sum o Squa es (RSS)
577.78
R-squa ed
0.046
Adjus ed R-squa ed
-0.033
Chi-squa e (d = 5)
2.89
p- alue (Chi-squa e)
0.716
The Random E ec s model
has e y low explana o y
powe , wi h an R-squa ed o
Indian Jou nal o Economics and Finance (IJEF)
ISSN: 2582-9378 (Online), Volume-5 Issue-2, No embe 2025
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0.046, indica ing ha p edic o s explain only 4.6% o he
a ia ion in he dependen a iable. Mo e han 95% o he
a iance in he ou come is unexplained, implying ha he
included a iables ail o cap u e he main d i e s o g ow h.
The nega i e adjus ed R-squa ed (-0.033) indica es he model
pe o ms wo se han he mean-only benchma k.
Looking a he coe icien s, none o he p edic o s—numbe
o companies, R&D spending, R&D in ensi y, sha es o
global GDP in economies, o bio ech pa en s— eaches
s a is ical signi icance, as indica ed by p- alues well abo e
he s anda d 0.05 cu -o . This shows a lack o p oo o an
in e es ing linea ela ionship be ween hese a iables and he
dependen a iable in he Random E ec s model. No ably,
he lack o signi icance ac oss all a iables indica es ha he
gi en speci ica ion ails o adequa ely explain bo h be ween-
coun y and wi hin-coun y a ia ion. The chi-squa e es o
o e all model i (χ² = 2.89, d = 5, p = 0.716) con i ms his
conclusion, indica ing ha as a whole, he p edic o s do no
explain he dependen a iable any be e han chance. The
model is he e o e s a is ically insigni ican as a whole.
These esul s could occu o se e al easons: he
unde lying ela ionships may be nonlinea o weak, impo an
explana o y a iables may be omi ed, o unobse ed
he e ogenei y may o e ide e ec s es ima ed om he chosen
p edic o s. Also, limi ed ime ho izons and high ola ili y
may hinde he model's abili y o ex ac s uc u al e ec s.
Subsequen models may hus equi e co a ia es beyond hose
included he e, lag es ing, in es iga ion o in e ac ion e ms,
o he use o al e na i e es ima ion me hods o enhance
explana o y powe .
F. Hausman Tes
To de e mine which condi ion was mo e app op ia e, a
Hausman es was used o compa e he FE and RE es ima es.
Table VI: Summa y o he Hausman Tes
Tes
S a is ic
d
p-
alue
Decision
χ² = 1.0573
5
0.9578
Accep H₀ → Random E ec s
app op ia e
The es yielded a chi-squa e s a is ic o 1.0573 wi h 5
deg ees o eedom (p = 0.958). A signi ican p- alue
indica es ailu e o ejec he null hypo hesis, he eby
indica ing Random E ec s as he mo e e icien
speci ica ion. Resul s show no sys ema ic co ela ion
be ween unobse ed coun y e ec s and eg esso s; he RE
es ima o can he e o e be employed wi hou bias.
Bu his does no asse ha he RE model claims ha he
poo explana o y powe is a speci ica ion ailu e; a he , i
e lec s s uc u al limi a ions: limi ed ime co e age, possible
omi ed a iables, o lagged e ec s be ween R&D
in es men s and obse able mac oeconomic ou comes.
Wi hin-coun y o c oss-coun y a ia ion in i m numbe s,
R&D inpu s, o bio echnology ou pu s does no signi ican ly
explain GDP g ow h o his sample and ime pe iod. This
implies ha he in e ac ion be ween de elopmen and
inno a ion can only be ealised wi h a longe ime ho izon,
by inco po a ing addi ional ins i u ional dimensions and
s uc u al con ols, o h ough dynamic modelling me hods o
cap u e he dynamics in ull.
V. DISCUSSION
A. Inno a ion Concen a ion and Economic Dominance
The analysis sugges s an in ensely ocused wo ld
inno a ion sys em, domina ed by he US ac oss many ields
o bio echnology and R&D. This is consis en wi h ecen
esea ch on na ional inno a i e capaci y as a unc ion o
gene ic inno a ion in as uc u e and clus e -speci ic
en i onmen s [26]. The U.S., wi h 60-70% o bio ech pa en s
and almos doubling R&D expendi u es be ween 2018 and
2023, exhibi s wha new schola s e e o as "inno a ion
capaci y"— he abili y o a coun y o gene a e a s eam o
comme cially ele an inno a ions [17]. Swi ze land's
consis en anking in R&D in ensi y, wi h a es o e 0.75%
h oughou he esea ch pe iod, e lec s wha ecen li e a u e
has e med "inno a ion e iciency" - he abili y o con e
inpu s in o inno a i e ou pu s e icien ly [18]. This end is
co obo a ed by he li e a u e on small, inno a ion-a ac ed
economies ha compensa e o he lack o scale wi h ocused
e o and high- alue specialisa ion [27]. The ubiqui y o
inno a ion asse s wi h a ew dominan playe s is an echo o
wha ecen esea ch on inno a ion sys ems iden i ies as pa h-
dependen ins i u ional con ex s, policy egimes, and
his o ical in es men s ha c ea e sel - ein o cing s eng hs
[23].
B. The R&D In es men -G ow h Pa adox
The mos s iking ou come o his analysis is likely o be he
absence o s ong ela ionships be ween R&D spending and
GDP g ow h, despi e high co ela ions be ween inno a ion
inpu s and ou pu s [26]. The same pa adox aligns wi h he
b oade li e a u e on he "p oduc i i y pa adox" in he con ex
o inno a ion s udies [28]. The e may be heo e ical and
empi ical easons consis en wi h he p e ailing li e a u e. In
he i s place, such a lag in ime be ween R&D expendi u e
and economic e u n may explain such esul s. New
longi udinal s udies show ha lagged e ec s o R&D
expendi u e on measu able p oduc i i y ypically ake 5-15
yea s, especially in bio echnology, whe e he incuba ion
pe iod is mo e ex ended [25]. The 2018-2023 span o such an
analysis migh be oo sho o cap u e lagged e ec s, as
a gued by con empo a y g ow h economis s [29]. Secondly,
R&D spillo e ad an ages a e no always accoun ed o in
na ional GDP s a is ics. Con empo a y s udies on inno a ion
ha e shown ha knowledge spillo e s end o be
mul ina ional, and hus R&D spending in a pa icula coun y
can con ibu e o global a he han domes ic economic
ad ancemen [3]. This is especially ue o bio echnology,
whe e knowledge is highly mobile and in e na ional
collabo a i e esea ch is p e alen [21]. Thi d, he quan i y-
e sus-quali y aspec o R&D expendi u e can be mos
c ucial. Recen li e a u e on o ganisa ional lea ning s esses
ha R&D expendi u e mus c oss a h eshold o es ablish
"abso p i e capaci y" - he capaci y o iden i y, abso b, and
u ilise new knowledge [30]. The ela i e lack o cu ing-edge
esea ch ac oss a hand ul o
leading na ions implies ha
sub h eshold expendi u e will
yield dec easing e u ns.
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C. Sec o al Specialisa ion and Na ional Inno a ion
S a egies
The e is a signi ican disconnec be ween bio echnology
inno a ions in de eloped and unde de eloped economies.
De eloped economies ha e he ad an age o s onge
na ional inno a ion policies and sec o -speci ic pa e ns.
Coun ies pu sue a ious bio echnology s a egies, anging
om b oad-based app oaches o niche s a egies, e lec ing
a ia ions in ins i u ional capaci y, esou ce endowmen s, and
his o ical inno a ion ajec o ies ha shape compe i i eness.
The e idence indica es ha no uni e sal model gua an ees
success. The Uni ed S a es bene i s om la ge-scale
capabili ies and in eg a ed bio echnology sys ems, whe eas
smalle economies such as Swi ze land and Sweden p ospe
h ough s a egic ocus and high esea ch in ensi y. These
models demons a e wha inno a ion sys ems li e a u e
iden i ies as mul iple pa hways o compe i i eness, shaped by
na ional con ex s and ins i u ional amewo ks [15].
In e na ional collabo a ion emains a key ac o in
bio echnology ad ancemen ega dless o economic size o
s a egy. The g owing in e connec edness o bio echnology
esea ch enables coun ies o ap in o global knowledge
ne wo ks and engage in ad anced scien i ic wo k beyond
domes ic limi s [20]. Empi ical indings show ha na ions
wi h highly in e na ionalised esea ch ne wo ks achie e
supe io inno a ion ou comes compa ed o hose wi h less
global connec i i y [21].
D. Scale E ec s e sus Inno a ion E iciency
The co ela ion analysis p o ides s ong e idence o an
in e ac ion be ween economic scale and inno a ion
pe o mance. The ex emely high co ela ion be ween
economies' GDP pe cen ages and R&D expendi u e ( =
0.937) ein o ces he impo ance o scale e ec s on
inno a ion, as p edic ed by endogenous g ow h heo y [14].
Howe e , he equally high co ela ion be ween bio ech
pa en s and R&D in ensi y ( = 0.938) sugges s ha
inno a ion e iciency can be as c ucial as o e all scale.
This inding aligns wi h ecen esea ch on he ela ionship
be ween i m size and inno a ion a he na ional scale [31].
Economies wi h smalle inno a ion in ensi y, such as Sweden
and Swi ze land, show ha high R&D in ensi y and ocused
s a egies can yield subs an ial inno a ion ou comes despi e
smalle o e all size. This suppo s mode n heo ies o
na ional compe i i e ad an age, which a gue ha specialised
clus e s can a ain global compe i i eness h ough
concen a ed excellence [17]. Weak co ela ions be ween
i m quan i y and inno a ion ou comes con adic adi ional
assump ions in en ep eneu ial economics. The esul s imply
ha i m quali y and inno a i e capaci y ma e mo e han he
numbe o i ms, consis en wi h ecen amewo ks ha
dis inguish be ween c ea i e and imi a i e en ep eneu ship
[32].
E. Policy Implica ions and Inno a ion Sys em Design
The esul s ha e signi ican implica ions o he design o
inno a ion policy. Failu e by Fixed E ec s and Random
E ec s models o iden i y meaning ul ela ionships be ween
inno a ion inpu s and g ow h o e sho ho izons sugges s
ha policymake s should conside longe - e m pe spec i es
when e alua ing R&D in es men s [33].
The concen a ion o inno a ion capaci y among a small
g oup o leade s is also a conce n o in e na ional inno a ion
go e nance and knowledge spillo e s. Recen esea ch
pu po s ha knowledge has cha ac e is ics o a public good,
which could imply possible ma ke ailu es in inno a ion
in es men [34]. The end o obse ed ac s may necessi a e
an in e na ional collec i e policy o induce knowledge
spillo e s and a oid excessi e concen a ion o inno a ion
asse s. Fo small de eloped economies, he Swedish and
Swiss expe iences o e au hen ic models o inno a ion
compe i i eness h ough an emphasis on excellence and high
R&D in ensi y. These align wi h es ablished claims abou he
signi icance o knowledge c ea ion and abso p ion o he
lea ning economy a scale [19].
VI. CONCLUSION
This s udy examined he ela ionship be ween
bio echnology inno a ion and economic g ow h in ele en
high-income economies be ween 2018 and 2023, answe ing
simple ques ions abou how inno a ion inpu s ansla e in o
measu able inancial ou comes. The pic u e po ays a highly
clus e ed global bio echnology inno a ion sys em, wi h he
Uni ed S a es ha ing an o e whelming p esence ac oss
a ious dimensions [21]. The ocus aligns wi h heo e ical
explana ions o na ional inno a i e capaci y, which posi ha
ins i u ional suppo and clus e - ela ed en i onmen s c ea e
ein o cing bene i s [17].
Swi ze land s ands ou as a leade in inno a ion e iciency,
main aining R&D in ensi y abo e 0.75% o GDP h oughou
he s udy pe iod. This suppo s he e idence ha small,
inno a ion-d i en economies can o e come hei limi ed
scale by ocusing on s a egic specialisa ion and high- alue
esea ch [27]. The Swiss case illus a es ha ela i e
economic size is no he sole de e minan o inno a ion
pe o mance, as he high co ela ion ( = 0.938) be ween
R&D in ensi y and bio ech pa en ou pu s demons a es.
Mos s ikingly, he e is no co ela ion be ween R&D
spending and GDP g ow h, despi e s ong co ela ions
be ween inno a ion inpu s and ou pu s. Nei he he Fixed
E ec s no he Random E ec s panel eg ession models
ound a s a is ically signi ican co ela ion be ween economic
g ow h and inno a ion a iables. This pa adox aligns wi h he
b oade "p oduc i i y pa adox" li e a u e [26, 28], which
posi s ha he e u ns o in es men in inno a ion a e ealised
o e mo e han six yea s, he pe iod o ou s udy. Co ela ion
analysis e ealed s ong s uc u al ela ions wi hin he
inno a ion ecosys em. R&D expendi u e and wo ld GDP
sha e o he economies had he s onges posi i e co ela ion,
con i ming scale e ec s in inno a ion in acco dance wi h
endogenous g ow h heo y [14]. Howe e , i as s ong a
ela ion be ween R&D in ensi y and bio echnology pa en s as
be ween ei he and wo ld GDP sha e, hen he e iciency o
inno a ion could be as bene icial as absolu e magni ude [19].
The indings add ess he cen al esea ch ques ions by
demons a ing ha while he e is high po en ial o inno a ion
ou comes o be p edic ed by inno a ion inpu s, sho - un
economic g ow h emains elusi e.
The agglome a ion o
bio echnology inno a ion
wo ldwide, wi h ew leading
Indian Jou nal o Economics and Finance (IJEF)
ISSN: 2582-9378 (Online), Volume-5 Issue-2, No embe 2025
98
Published By:
La ice Science Publica ion (LSP)
© Copy igh : All igh s ese ed.
Re ie al Numbe :100.1/ije .B263805021125
DOI:10.54105/ije .B2638.05021125
Jou nal Websi e: www.ije .la icescipub.com
i ms in es ing in he majo i y o esea ch expendi u es and
ecei ing mos o he pa en s, e lec s wha ecen s udies
iden i y as "na ional sys ems o inno a ion," in which
ins i u ional se ings cons uc compe i i e ad an age [23].
A. Limi a ions
This esea ch ecognises me hodological and scope
limi a ions ha may a ec he gene alizabili y o he esul s.
The six-yea pe iod (2018-2023) may be oo sho o cap u e
he long- e m impac s o R&D in es men on economic
g ow h, especially gi en ha he li e a u e p oposes lags
be ween R&D in es men and quan i iable p oduc i i y
imp o emen s o 5-15 yea s [25, 29]. Including he COVID-
19 yea s may ha e dis o ed ypical inno a ion–g ow h
ela ionships, as he pandemic c ea ed excep ional condi ions
ha likely dis up ed unde lying ends. Focusing on coun y-
le el da a could also obscu e signi ican di e ences wi hin
egions, sec o s, o i m ypes. Using bio echnology pa en s
as he sole indica o o inno a ion cap u es only pa o he
economic and knowledge spillo e e ec s. Addi ionally, he
s udy's sample—limi ed o 11 high-R&D-spending
de eloped economies—in oduces selec ion bias and limi s
applicabili y o eme ging na ions wi h di e en inno a ion
dynamics. Gi en bio echnology's apid pace o echnological
and policy change, some indings may soon become
i ele an as new de elopmen s un old.
B. P ac ical Implica ions
The indings make signi ican con ibu ions o inno a ion
policy and s a egic planning o bio echnology.
Policymake s should adop long- e m pe spec i es on R&D
in es men s, as bio echnology e enues ake ime o
ma e ialise and may no be e lec ed in sho - e m GDP
g ow h indica o s. The absence o c i ical sho - un
ela ionships in eg ession analyses sugges s ha he
adi ional economic measu emen sys em may be ine ec i e
o assessing inno a ion ou comes. Fo smalle economies,
he Swiss and Swedish models demons a e sus ainable
compe i i eness h ough ocused excellence and high R&D
in ensi y a he han la ge-scale compe i ion. Coun ies wi h
limi ed esou ces should p io i ise de eloping "abso p i e
capaci y" [30] and pu sue a ge ed specialisa ion in
bio echnology niches whe e hey can achie e global impac .
The hea y concen a ion o inno a ion capaci y among
majo economies aises conce ns abou global knowledge
inequali y. Since knowledge ac s as a public good [34],
in e na ional policy coope a ion may be needed o encou age
b oade knowledge di usion and p e en excessi e
concen a ion o inno a ion powe . Economies wi h ewe
esou ces should he e o e s eng hen ins i u ional
amewo ks ha enable in eg a ion in o global knowledge
ne wo ks ins ead o ying o build comple e domes ic
inno a ion sys ems.
C. Scope o Fu u e Resea ch
Fu he esea ch is needed o be e unde s and he
economic impac s o bio echnology inno a ion. Long- e m
s udies spanning 10–15 yea s would help cap u e he delayed
e ec s o R&D in es men on economic g ow h, add essing
he ime lag iden i ied in his analysis. Mo e de ailed
in es iga ions ocusing on speci ic clus e s, echnologies, and
i ms could unco e insigh s hidden by na ional-le el da a.
Fu u e esea ch should also conside ac o s such as
ins i u ional quali y, human capi al, and inno a ion
in as uc u e o be e explain how R&D ansla es in o
economic gains.
The s udy unde sco es he complex and indi ec
ela ionship be ween bio echnology inno a ion and economic
g ow h. While R&D inpu s and inno a ion ou pu s a e closely
linked, hei in luence on measu able economic ou comes
ope a es h ough non-linea and long- e m mechanisms. The
lack o sho - un co ela ions be ween R&D spending and
GDP g ow h should guide policymake s owa d mo e
nuanced s a egies ha accoun o he p olonged and
globally dis ibu ed na u e o inno a ion ewa ds.
Unde s anding hese complexi ies is c ucial o designing
e ec i e inno a ion policies and ins i u ional amewo ks.
DECLARATION STATEMENT
I mus e i y he accu acy o he ollowing in o ma ion as
he a icle's au ho .
▪ Con lic s o In e es / Compe ing In e es s: Based on
my unde s anding, his a icle has no con lic s o
in e es .
▪ Funding Suppo : This a icle has no been unded by
any o ganiza ions o agencies. This independence
ensu es ha he esea ch is conduc ed wi h objec i i y
and wi hou any ex e nal in luence.
▪ E hical App o al and Consen o Pa icipa e: The
con en o his a icle does no necessi a e e hical
app o al o consen o pa icipa e wi h suppo ing
documen a ion.
▪ Da a Access S a emen and Ma e ial
A ailabili y: The adequa e esou ces o his a icle a e
publicly accessible.
▪ Au ho ’s Con ibu ions:
The au ho ship o his a icle is con ibu ed solely.
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