Co esponding au ho : Syl ia O. E igbe
Copy igh © 2025 Au ho (s) e ain he copy igh o his a icle. This a icle is published unde he e ms o he C ea i e Commons A ibu ion Liscense 4.0.
Blockchain-Enabled ESG epo ing and obo-ad iso y sys ems: T ans o ming
sus ainable in es men p ac ices in us inancial ma ke s
Syl ia O. E igbe *
Lumpkin College o Business and Technology, Eas e n Illinois Uni e si y. USA.
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 27(02), 887-901
Publica ion his o y: Recei ed on 04July 2025; e ised on 10Augus 2025; accep ed on 12Augus 2025
A icle DOI: h ps://doi.o g/10.30574/wja .2025.27.2.2909
Abs ac
The con e gence o blockchain echnology, En i onmen al, Social, and Go e nance (ESG) epo ing, and obo -ad iso y
sys ems is undamen ally eshaping sus ainable in es men p ac ices in US inancial ma ke s. This comp ehensi e
s udy examines he echnical a chi ec u e, ma ke dynamics, egula o y landscape, and p ac ical implemen a ions o
blockchain-enabled ESG epo ing in eg a ed wi h obo -ad iso y pla o ms. Th ough analysis o ma ke da a spanning
2022-2025, egula o y de elopmen s, and eal-wo ld case s udies, his esea ch demons a es ha blockchain-enabled
ESG sys ems p o ide signi ican imp o emen s in anspa ency, da a in eg i y, and ope a ional e iciency. The US ESG
ma ke , alued a $7.73 illion in 2024, is expe iencing apid g ow h d i en by echnological inno a ion and e ol ing
in es o p e e ences. Howe e , implemen a ion aces challenges including egula o y unce ain y, echnical scalabili y,
and in eg a ion complexi y. This esea ch p o ides he i s comp ehensi e academic analysis o he symbio ic
ela ionship be ween blockchain ESG e i ica ion and obo -ad iso y au oma ion, o e ing c i ical insigh s o inancial
ins i u ions, egula o s, and echnology p o ide s na iga ing his ans o ma i e landscape.
Keywo ds: Blockchain; ESG Repo ing; Robo-Ad iso y; Sus ainable Finance; Financial Technology; Regula o y
Compliance
1. In oduc ion
The in e sec ion o blockchain echnology and En i onmen al, Social, and Go e nance (ESG) epo ing ep esen s one
o he mos signi ican inno a ions in sus ainable inance since he eme gence o esponsible in es ing. The US ESG
ma ke has eached $7.73 illion in asse s unde managemen in 2024, wi h p ojec ions indica ing g ow h o $44.28
illion by 2034 (P ecedence Resea ch, 2025). Simul aneously, obe-ad iso y pla o ms ha e e ol ed om simple
au oma ed po olio managemen ools o sophis ica ed ESG-in eg a ed in es men sys ems managing o e $1.666
illion in asse s as o 2025.
The adi ional ESG epo ing ecosys em su e s om undamen al challenges o da a opaci y, e i ica ion delays, and
s akeholde mis us . Manual ESG da a collec ion and e i ica ion p ocesses can ake weeks o mon hs, c ea ing
signi ican in o ma ion asymme ies in inancial ma ke s. Blockchain echnology add esses hese limi a ions by
p o iding immu able, anspa en , and eal- ime ESG da a e i ica ion, while obe-ad iso y sys ems democ a ize access
o ESG-aligned in es men s a egies h ough au oma ed po olio managemen and educed ee s uc u es.
This ans o ma ion is pa icula ly p onounced in US inancial ma ke s, whe e egula o y de elopmen s, echnological
inno a ion, and shi ing in es o demog aphics con e ge o c ea e unp eceden ed oppo uni ies o blockchain-enabled
sus ainable inance. The egula o y landscape, howe e , has expe ienced signi ican ola ili y, wi h he T ump
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 27(02), 887-901
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adminis a ion e e sing many ESG ini ia i es in 2025, c ea ing bo h challenges and oppo uni ies o ma ke
pa icipan s.
Figu e 1 Ma ke Size E olu ion - US ESG Asse s Unde Managemen and Robo-Ad iso y G ow h (2022-2034)
2. Li e a u e Re iew
2.1. Blockchain Applica ions in ESG Repo ing
Recen academic esea ch has es ablished blockchain's ans o ma i e po en ial o ESG da a in eg i y and e i ica ion.
Wu e al. (2022) de eloped he i s p ac ical blockchain and IoT-enabled ESG pla o m (BI-ESG) wi h oken-based
incen i e mechanisms, demons a ing how blockchain p o ides anspa en and ackable ledge s o ESG da a s o age
while oken-based sys ems mo i a e high-quali y da a disclosu e. Thei Shapley alue app oach o ai oken
dis ibu ion based on disclosu e signi icance ep esen s a b eak h ough in add essing g eenwashing h ough economic
incen i es.
Liu e al. (2023) ad anced his wo k by combining blockchain echnology wi h s ochas ic mul ic i e ia accep abili y
analysis (SMAA-2) o ESG assessmen in he ex iles indus y. Thei compa a i e analysis o 71 companies
demons a ed imp o ed da a in eg i y h ough blockchain's immu able ledge capabili ies and mul i- ype ESG da a
usion me hods. This esea ch p o ides he i s indus y-speci ic alida ion o blockchain's e ec i eness in ESG da a
managemen .
Almadadha's (2024) Knowledge Disco e y om Da a (KDD) analysis e ealed ha blockchain-enabled ESG epo ing
sys ems achie e 99% g ea e da a in eg i y compa ed o adi ional sys ems, wi h eal- ime upda es and enhanced
anspa ency. Howe e , implemen a ion challenges include scalabili y limi a ions, egula o y compliance
equi emen s, and signi ican in eg a ion cos s ha mus be weighed agains long- e m ope a ional bene i s.
2.2. Robo-Ad iso y Sys ems and ESG In eg a ion
The academic li e a u e on ESG-in eg a ed obo-ad iso y sys ems has e ol ed om heo e ical amewo ks o
empi ical alida ion o in es o beha io and sys em e ec i eness. Fa adynawa i and Söde be g's (2022) analysis o
27,771 No dic obo-ad iso clien s ep esen s he la ges empi ical s udy on sus ainable in es men beha io in
au oma ed ad iso y con ex s. Thei indings e eal ha 33.69% o obo-ad iso clien s chose sus ainable in es men s,
wi h emale in es o s 37% mo e likely o selec ESG op ions compa ed o males.
Signi ican ly, hei esea ch challenges adi ional assump ions abou isk and sus ainable in es ing. Risk-a e se
in es o s demons a ed highe likelihood o choosing sus ainable in es men s (odds a io 0.649 o high- isk e sus
low- isk p e e ences), sugges ing ha ESG in es men s a e pe cei ed as isk- educing a he han e u n-sac i icing
s a egies wi hin obo-ad iso y amewo ks.
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 27(02), 887-901
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B unen and Laubach (2022) es ablished beha io al consis ency be ween sus ainable consump ion pa e ns and
in es men choices among obo-ad iso use s, demons a ing ha digi al pla o ms e ec i ely educe p ocedu al
complexi y o inexpe ienced in es o s seeking ESG-aligned po olios.
2.3. Responsible AI and Financial Se ices In eg a ion
The in eg a ion o a i icial in elligence in inancial se ices has p omp ed comp ehensi e academic examina ion o
esponsible AI amewo ks. F i z-Mo gen hal e al. (2022) es ablished se en key p inciples o esponsible AI in
inancial se ices: explainabili y, ai ness, anspa ency, accoun abili y, eliabili y, sus ainabili y, and compliance. Thei
SHAP (Shapley Addi i e Explana ions) app oach p o ides alida ed me hodology o ensu ing algo i hmic ai ness in
obo-ad iso y ESG sc eening.
Recen wo k by Lee e al. (2024) de eloped a comp ehensi e esponsible AI assessmen amewo k speci ically o ESG
inancial applica ions, emphasizing he need o bias de ec ion and ai ness alida ion in au oma ed sus ainable
in es men decisions. This amewo k add esses c i ical conce ns abou algo i hmic bias in ESG sco ing and po olio
cons uc ion.
2.4. Resea ch Gaps and Theo e ical Con ibu ions
The li e a u e e eals signi ican gaps in unde s anding he echnical in eg a ion be ween blockchain ESG e i ica ion
and obo-ad iso y au oma ion. While indi idual componen s ha e ecei ed subs an ial academic a en ion, he
syne gis ic e ec s o combining blockchain-enabled ESG da a wi h AI-d i en po olio managemen emain la gely
unexplo ed. This esea ch add esses his gap by p o iding comp ehensi e analysis o in eg a ed sys ems ope a ing in
US inancial ma ke s.
3. Me hodology and F amewo k
3.1. Resea ch App oach
This s udy employs a mixed-me hods app oach combining quan i a i e ma ke analysis, egula o y examina ion,
echnical a chi ec u e assessmen , and quali a i e case s udy e alua ion. The esea ch amewo k in eg a es mul iple
da a sou ces o p o ide comp ehensi e unde s anding o blockchain-enabled ESG epo ing and obo-ad iso y sys ems
in eg a ion.
3.2. Da a Collec ion and Sou ces
3.2.1. P ima y da a sou ces include
• Ma ke da a om P ecedence Resea ch, G and View Resea ch, Fo une Business Insigh s, and Mo nings a
• Regula o y documen s om SEC, FINRA, and Depa men o Labo
• Technical speci ica ions om blockchain pla o ms (R3 Co da, JPMo gan Kinexys)
• Pe o mance da a om majo obe-ad iso s (Be e men , Weal h on , Vangua d Digi al Ad iso )
• Case s udy in o ma ion om inancial ins i u ions and in ech companies
• Seconda y da a includes academic li e a u e om 2022-2025, indus y epo s om McKinsey, Deloi e, PwC,
and egula o y analysis om specialized law i ms.
3.3. Analy ical F amewo k
3.3.1. The analysis employs a ou -pilla amewo k examining:
• Technical A chi ec u e: Blockchain consensus mechanisms, sma con ac applica ions, API in eg a ions
• Ma ke Dynamics: G ow h a es, adop ion pa e ns, pe o mance me ics, clien demog aphics
• Regula o y En i onmen : Fede al and s a e egula ions, compliance equi emen s, en o cemen ac ions
• Implemen a ion Ou comes: Case s udies, cos -bene i analyses, lessons lea ned
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4. Technical A chi ec u e and In as uc u e
4.1. Blockchain A chi ec u es o ESG Da a Ve i ica ion
The echnical implemen a ion o blockchain-enabled ESG epo ing in US inancial ma ke s p edominan ly u ilizes
pe missioned conso ium blockchain a chi ec u es a he han public blockchains. This design choice add esses
egula o y equi emen s o known pa icipan s, da a p i acy, and scalabili y cons ain s inhe en in inancial se ices
applica ions.
Table 1 Compa ison o Blockchain Consensus Mechanisms o ESG Applica ions
Consensus
Mechanism
T ansac ion
Th oughpu
Finali y
Time
Ene gy
Consump ion
Regula o y
Sui abili y
US Implemen a ion
Examples
P ac ical Byzan ine
Faul Tole ance
(PBFT)
1,000-10,000
TPS
3-5
seconds
99% lowe han
PoW
High (known
pa icipan s)
JPMo gan Kinexys,
R3 Co da
P oo o Au ho i y
(PoA)
5,000+ TPS
3-5
seconds
Minimal
High ( epu a ion-
based)
VeChain, Quo um
ne wo ks
P oo o S ake (PoS)
1,000-3,000 TPS
6-10
seconds
99% lowe han
PoW
Medium
( egula o y
unce ain y)
E he eum 2.0
applica ions
P oo o Wo k
(PoW)
7-10 TPS
60+
minu es
Baseline (high)
Low (ene gy
conce ns)
Limi ed ESG
applica ions
Sou ce: Technical analysis o blockchain pla o ms, 2024-2025
The IBESG (In elligen Blockchain-Enabled ESG) sys em a chi ec u e ep esen s he cu en s a e-o - he-a
implemen a ion, ea u ing a ou -laye Pe cep ion, In e ope a ion, Synch oniza ion, Applica ion (PISA) amewo k. This
a chi ec u e enables eal- ime ESG da a collec ion h ough Indus ial IoT de ices, au oma ed da a p ep ocessing
h ough ga eway laye s, conso ium blockchain s o age h ough indus ial Blockchain Ope a ing Sys ems (iBOS), and
s akeholde access h ough applica ion p og amming in e aces.
4.2. Sma Con ac Applica ions o ESG Compliance
Sma con ac s p o ide au oma ed compliance e i ica ion, educing manual ESG epo ing cos s by up o 75% while
imp o ing accu acy o g ea e han 95%. The GumboNe ESG pla o m exempli ies success ul sma con ac
implemen a ion, o e ing con igu able con ac s ha ap in o Indus ial IoT ield da a o au oma ed SASB-complian
epo ing.
Technical speci ica ions o sma con ac ESG implemen a ion include
• Au oma ed e i ica ion algo i hms wi h sub-second la ency o eal- ime ESG upda es
• C oss-chain compa ibili y enabling in e ope abili y ac oss mul iple blockchain ne wo ks
• C yp og aphic p oo sys ems p o iding immu able audi ails o egula o y examina ion
• E en -d i en a chi ec u es igge ing eal- ime po olio adjus men s based on ESG da a changes
4.3. API In eg a ion wi h Robo-Ad iso y Sys ems
The in eg a ion be ween blockchain ESG pla o ms and obo-ad iso y sys ems elies p ima ily on REST ul API
a chi ec u es wi h JSON/XML da a exchange p o ocols. Leading implemen a ions u ilize:
• OAu h 2.0/OpenID Connec o au hen ica ion and au ho iza ion
• TLS 1.3 enc yp ion o da a ansmission secu i y
• G aph QL in e aces o lexible ESG da a que ying
• WebSocke connec ions o eal- ime ESG sco e upda es
Pe o mance benchma ks demons a e API esponse imes unde 100 milliseconds o ESG da a que ies and eal- ime
p ocessing capabili ies o po olio ebalancing based on ESG me ic changes.
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Figu e 2 Technical A chi ec u e - Blockchain ESG Da a Flow o Robo-Ad iso y Sys ems
5. Ma ke Analysis and Pe o mance Me ics
5.1. Ma ke Size and G ow h T ajec o ies
The con e gence o blockchain, ESG, and obe-ad iso y ma ke s ep esen s one o he as es -g owing segmen s in
inancial echnology. The global ESG ma ke eached $29.86 illion in 2024, wi h he US accoun ing o $7.73 illion,
ep esen ing app oxima ely 26% o global ESG asse s.
Table 2 Ma ke Size E olu ion and P ojec ions (2022-2034)
Ma ke Segmen
2022
2024
2025
(P ojec ed)
2032-2034
(P ojec ed)
CAGR
Sou ce
Global ESG AUM
$30.6T
$29.86T
$35.48T
$167.49T
18.82%
P ecedence
Resea ch
US ESG AUM
~$12T
$7.73T
-
$44.28T
19.04%
Deloi e,
P ecedence
Global Robo-
Ad iso y
-
$8.39B
$10.86B
$69.32B
30.3%
Fo une Business
US Robo-Ad iso
AUM
-
$634-
754B
$1.666T
-
-
S a is a,
Mo nings a
ESG Robo-
Ad iso y
-
$9.4B
-
$48.1B
18.1%
Da aIn elo
Blockchain in
Finance
-
$26.9B
-
$1,879.3B
52.8%
Acui y Knowledge
Sou ces: Mul iple indus y esea ch epo s, 2024-2025
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892
The da a e eals signi ican ma ke momen um wi h blockchain in inance showing he highes g ow h a e a 52.8%
CAGR, indica ing s ong in es o and ins i u ional in e es in dis ibu ed ledge applica ions o inancial se ices.
5.2. Majo Playe s and Ma ke Sha e Analysis
Table 3 US Robo-Ad iso y Ma ke Leade s wi h ESG In eg a ion (2024)
P o ide
To al
AUM
Ma ke
Sha e
ESG Op ions
Managemen
Fee
ESG
P emium
ESG Clien
Adop ion
Vangua d Digi al
Ad iso
$333B
26.6%
ESG Fund
Op ions
Va ies
No
addi ional
ee
15-20%
es ima ed
Schwab In elligen
Po olios
$80.9B
6.5%
ESG Sc eening
A ailable
0% (basic)
No
addi ional
ee
10-15%
es ima ed
Be e men
$46B
3.7%
3 SRI Po olios
0.25%-0.65%
No
addi ional
ee
25-30%
es ima ed
Weal h on
$37.4B
3.0%
SRI Po olio
Op ion
0.25%
No
addi ional
ee
20-25%
es ima ed
U.S. Banco p
Au oma ed
$16B
1.3%
Limi ed ESG
Op ions
0.30%
-
5-10%
es ima ed
Sou ces: Company epo s, indus y analysis, 2024
Be e men eme ges as he ESG leade wi h he mos comp ehensi e sus ainable in es men op ions, including Clima e
Impac , Social Impac , and B oad Impac po olios. The pla o m's 56,000 new clien s in Q1 2021 wi h o e $10 billion
in AUM g ow h demons a es s ong ma ke demand o ESG-in eg a ed obo-ad iso y se ices.
5.3. Pe o mance Analysis: ESG s T adi ional Po olios
Con a y o his o ical assump ions abou ESG pe o mance ade-o s, ecen da a demons a es ha ESG-in eg a ed
obe-ad iso y po olios achie e e u ns equal o o supe io o adi ional po olios while p o iding addi ional non-
inancial bene i s.
Table 4 Pe o mance Compa ison - ESG s T adi ional Robo-Ad iso y Po olios (Q3 2024)
P o ide
T adi ional 1-
Yea Re u n
ESG/SRI 1-Yea
Re u n
T adi ional 3-
Yea Ann.
ESG/SRI 3-
Yea Ann.
Pe o mance
Di e en ial
Be e men
Co e
12.7%
12.9% (SRI)
7.8%
7.9%
+0.2% / +0.1%
Weal h on
4.85%
4.90%
(es ima ed)
5.51%
5.55%
(es ima ed)
+0.05% / +0.04%
Vangua d
Digi al
-
Equal acking
-
Equal acking
Neu al
Indus y
A e age
5.0%
5.1%
6.2%
6.3%
+0.1% / +0.1%
Sou ces: Ne dWalle , Condo Capi al, Mul iple P o ide Repo s, 2024
These pe o mance me ics suppo academic indings ha 80% o e iewed s udies demons a e posi i e co ela ion
be ween sus ainabili y p ac ices and s ock pe o mance, con adic ing adi ional isk- e u n assump ions abou ESG
in es ing.
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5.4. Clien Demog aphics and Adop ion Pa e ns
Table 5 ESG Robo-Ad iso y Clien Demog aphics and P e e ences
Demog aphic Ca ego y
ESG In e es
Le el
Robo-Ad iso
Usage
ESG Adop ion Ra e
Typical Accoun
Size
Ages 18-34 (Millennials/Gen
Z)
75%+
60%+
45%+
$25K-$100K
Ages 35-54 (Gen X)
65%
45%
35%
$100K-$500K
Ages 55+ (Boome s)
40%
25%
20%
$500K+
Female In es o s
70%
45%
37% highe han
males
$25K-$250K
Male In es o s
60%
55%
Baseline
$50K-$500K
High Ne Wo h ($500K+)
55%
30%
25%
$500K+
Sou ces: Indus y su eys, academic esea ch, 2024-2025
The da a e eals s ong gene a ional and gende p e e ences o ESG in es ing, wi h younge demog aphics and emale
in es o s d i ing adop ion. This demog aphic shi ep esen s a undamen al ans o ma ion in in es men p e e ences
ha adi ional ad iso y models s uggle o se e cos -e ec i ely.
Figu e 3 Clien Demog aphic Analysis - ESG Robo-Ad iso y Adop ion by Age and Gende
6. Regula o y Landscape and Compliance F amewo k
6.1. Fede al Regula o y E olu ion and Recen Changes
The egula o y en i onmen o blockchain-enabled ESG epo ing and obo-ad iso y sys ems has expe ienced
d ama ic shi s du ing 2024-2025, wi h he T ump adminis a ion undamen ally e e sing p e ious ESG ini ia i es
while simul aneously ad ancing blockchain- iendly policies.
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Table 6 Key Regula o y De elopmen s Timeline (2024-2025)
Da e
Regula o y
Body
Ac ion
ESG Impac
Blockchain
Impac
Compliance
Requi emen
Ma ch 6,
2024
SEC
Clima e Disclosu e Rules
Adop ed (Rule 33-11275)
High
Medium
S ayed pending
li iga ion
Sep embe
2024
SEC
Disbanded Clima e and ESG
Task Fo ce
High
(nega i e)
Low
No longe applicable
Ma ch 27,
2025
SEC
Ended de ense o clima e
disclosu e ules
High
(nega i e)
Low
Rules e ec i ely
nulli ied
June 2025
SEC
Wi hd ew 14 Biden-e a ESG
p oposals
High
(nega i e)
Low
P oposed ules
elimina ed
June 2025
DOL
Filed in en o eplace 2022
ESG ule
Medium
(nega i e)
Low
Pending new
ulemaking
Janua y 2025
Execu i e
Digi al Financial Technology
EO
Low
High (posi i e)
Enhanced blockchain
amewo k
July 18, 2025
Cong ess
GENIUS Ac signed
(s ablecoin egula ion)
Low
High (posi i e)
Fede al s ablecoin
amewo k
Sou ces: SEC eleases, Fede al Regis e , egula o y law i m analyses, 2025
6.2. S a e-Le el Blockchain and Digi al Asse Regula ions
Wi h ede al ESG equi emen s scaled back, s a e-le el egula ions ha e gained inc eased impo ance o blockchain-
enabled ESG sys ems. The egula o y pa chwo k c ea es compliance complexi y bu also oppo uni ies o inno a ion.
6.2.1. Key S a e De elopmen s
• 35+ s a es in oduced c yp ocu ency/digi al asse legisla ion in 2024
• 29 s a es plus DC adop ed 2022 UCC A icle 12 amendmen s go e ning "Con ollable Elec onic Reco ds"
• Wyoming main ains leade ship wi h comp ehensi e DAO legisla ion and he Wyoming S able Token Ac
• Cali o nia enhanced o e sigh h ough DFPI en o cemen ac ions
6.3. FINRA Rules o Algo i hmic T ading and Robo-Ad iso y
FINRA's egula o y amewo k o algo i hmic ading di ec ly impac s ESG-in eg a ed obo-ad iso y sys ems h ough
comp ehensi e supe ision and con ol equi emen s.
6.3.1. Co e FINRA Rules
• Rule 3110 (Supe ision): Manda es comp ehensi e supe iso y sys ems o algo i hmic s a egies
• Regula o y No ice 15-09: Requi es obus p e- ade isk con ols and eal- ime moni o ing
• Rule 5210: P ohibi s ma ke manipula ion h ough algo i hmic ading
• Regis a ion Requi emen s: Pe sons "p ima ily esponsible" o algo i hmic s a egy design mus egis e as
"Secu i ies T ade s"
ESG-Speci ic Implica ions: While FINRA doesn' speci ically add ess ESG ac o s in algo i hms, gene al p inciples o ai
dealing and p e en ing misleading communica ions apply o ESG claims and po olio cons uc ion.
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 27(02), 887-901
895
6.4. Compliance Cos s and Implemen a ion Requi emen s
Table 7 Es ima ed Compliance Cos s o Blockchain-Enabled ESG Sys ems
Compliance
Ca ego y
T adi ional ESG
Repo ing
Blockchain-Enabled
Sys em
Cos
Di e en ial
Implemen a ion
Timeline
Ini ial Sys em Se up
$100K-$500K
$200K-$800K
+$100K-$300K
6-12 mon hs
Da a Collec ion
$200K-$500K
annually
$100K-$300K annually
-$100K-$200K
Ongoing
Thi d-Pa y
Ve i ica ion
$150K-$400K
annually
$50K-$150K annually
-$100K-$250K
Ongoing
Regula o y
Repo ing
$100K-$300K
annually
$50K-$150K annually
-$50K-$150K
Ongoing
S a T aining
$50K-$150K
$100K-$250K
+$50K-$100K
3-6 mon hs
Ongoing
Main enance
$75K-$200K annually
$125K-$300K annually
+$50K-$100K
Ongoing
Sou ces: Indus y es ima es, consul ing i m analyses, 2024-2025
Despi e highe ini ial implemen a ion cos s, blockchain-enabled sys ems demons a e 30-50% educ ions in ongoing
ope a ional expenses h ough au oma ion and educed manual e i ica ion equi emen s.
Figu e 4 Regula o y Timeline - Fede al ESG Policy Changes and Blockchain De elopmen s (2024-2025)
