Almasa Environmental Solutions LLC, United
Arab Emirates
|
METADATA Paper history Received: 28 July 2026 Revised: 12 September 2026 Accepted: 10 October 2026 Published online: 31 October 2026 Corresponding author Talha Sabir Keywords Affordable
housing Urban
resilience Saudi
Vision 2030 UN
SDGs Pakistan
housing policy SPARH
framework Citation Sabir T (2026) Affordable
and resilient housing for sustainable urban and economic development: a
comparative policy analysis of Saudi Vision 2030, the UN sustainable development
goals, and Pakistan�s national housing framework. Innovations in STEAM: Research & Education 4(2): 26040202. https://doi.org/10.63793/ISRE/0037. |
ABSTRACT Background: More
than 1.6 billion people around the world are living without safe and decent
housing, which is one of the greatest challenges in the pursuit of
sustainable urban development in the twenty first century. Objective: This
paper aims to provide a policy comparison of three key policies, Vision 2030
housing agenda by Saudi Arabia, the United Nations Sustainable Development
Goals (SDGs) relevant to housing and urbanisation (SDGs 1, 8, 9, 11 and 13)
and the National Housing and Urbanisation Policy (NHUP) of Pakistan. Methodology: The
study identifies the critical convergences, structural gaps, and contextual
divergences between these systems through a systematic document analysis,
multi-criteria comparative matrices and structured case study review. It
presents a novel conceptual framework called the Saudi-Pakistan Affordable
and Resilient Housing Framework (SPARH), that incorporates four strategic
elements: Housing affordability and financial inclusion, Climate resilience
and Disaster risk reduction, Smart urban infrastructure, and Economic
development linkages. Results: Saudi
Vision 2030 is particularly effective at institutional transformation and
finance innovation, yet the Pakistan plan does not explicitly consider
on-the-ground equity issues, and both plans fail to include planning and
economic linkages between sectors and across sectors that incorporate climate
resilience. Conclusion: The
SPARH policy framework provides a policy blueprint which can be transferred
to other emerging economies that are facing rapid urbanisation, climate
vulnerability and fiscal constraints. The paper ends with policy
recommendations to advance the global agenda of affordable housing through
bilateral cooperation, international financing mechanisms and governance
innovations. |
INTRODUCTION
Urbanization is changing the way people live and work in the twenty-
century. The United Nations says that 68% of people around the world will live
in cities by 2050. This means 2.5 billion more people will live in cities. Most
of these city dwellers will be in Asia and Africa. This change is making a
problem even worse. The World Bank says that than 1.6 billion people do not
have enough housing. The biggest problems are in South Asia, Sub-Saharan Africa
and parts of the Middle East. The problem is not about having enough houses. It
is also about making sure the houses are affordable, safe and can handle
weather changes. It is also about having roads, water and electricity. It is
about making sure cities grow in a way that is good for the planet.
�������� Two places where this
problem is very important are the Kingdom of Saudi Arabia and the Islamic
Republic of Pakistan. Even though these two countries have kinds of economies,
they both face serious problems with housing. Saudi Arabia is a country that
makes a lot of money from oil. It is changing its economy. It still has a
problem with not enough houses. The country has a lot of people and building
houses is expensive. Also, the way the economy has worked in the past has not
helped private companies build houses. Pakistan is a country where people are
not as rich. It has a lot of people who are moving to cities. There are not
enough houses. There are problems too like the risk of earthquakes and floods.
The country also does not have roads, water and electricity.
�������� Both countries have plans
to solve their housing problems. Saudi Arabia has a plan called Vision 2030.
This plan says housing is very important. The goal is to get more people to own
their homes. The plan has ideas about how to do this. Pakistan has a plan
called the National Housing and Urbanization Policy. Recently there is also the
Naya Pakistan Housing Program. These plans try to build houses by working with
private companies and using new technology. It is hard to make these plans
work. These efforts happen while the world is trying to follow the United
Nations 2030 Agenda for Sustainable Development. This agenda has goals about
ending poverty, making sure people have jobs, making sure cities are safe and
fighting climate change. These goals are important for housing. It is hard to
make these goals into real policies for each country. This paper has three
ideas. First, it looks at how the housing policies of Saudi Arabia, the United
Nations goals and the policies of Pakistan're similar and different. It uses a
way of looking at these policies. Second it finds where these policies are not
working well and where they could help each other. It suggests ways to learn
from each other. Third it introduces an idea called the Saudi Pakistan
Affordable and Resilient Housing Framework. This is a way to solve housing
problems in countries that are growing quickly.
�������� The rest of the paper is
divided into sections. First, it looks at what other people have written about
safe housing. Then it explains how the research was done and what the big
problems are, around the world. Then it looks at the policies of Saudi Arabia,
the United Nations and Pakistan. After that it compares them. Look at examples.
Then it talks about what it found, explains the idea and gives suggestions. Finally,
it ends with the things learned and what could be studied next.
BACKGROUND OF THE STUDY
Affordable housing: definitions and debates
The concept of housing affordability has evolved considerably over the
past four decades. The conventional threshold that housing is affordable when
housing costs do not exceed 30% of household income has been challenged by
scholars as insufficiently sensitive to the full cost of housing location,
including transport, utilities, and opportunity costs (Stone 2006; Hulchanski
1995). A �residual income� approach, which evaluates whether households can
meet non-housing needs after paying for shelter, has gained traction as a more
accurate measure of housing stress (Stone 2006). More recently, scholars have
called for a multi-dimensional definition that incorporates access to services,
tenure security, physical quality, and community integration (Wetzstein 2017).
�������� In the Global South,
affordability is inseparable from informality. Approximately 1.1 billion people
globally live in slums or informal settlements, where housing is technically
�affordable� by price but deeply unaffordable in terms of inadequate services,
insecurity of tenure, and climate exposure (UN-Habitat 2022). Angel et al.
(2011) and Buckley et al. (2016) argued that the enabling
approach�shifting governments from housing providers to market enablers�has
failed to adequately address the housing needs of the lowest-income quintiles,
particularly in rapidly urbanising societies. The debate continues between
supply-side interventions (land release, regulatory simplification,
construction technology), demand-side interventions (subsidies, housing
finance, vouchers), and integrated strategies that address both simultaneously.
Urban resilience and housing
The ability of cities and communities to resist, adapt to, and recover
from shocks and stresses ��is a key concept in urban planning since the
early 2000s (Davoudi 2012, Meerow et al. 2016). Resilience in housing
includes structural resistance to natural hazards (earthquake, flood, cyclone)
and adaptation to the climate (heat resilience, water efficiency), as well as
socioeconomic resilience (tenure security, community networks, livelihood
diversity). The Sendai Framework for Disaster Risk Reduction 2015 2030
explicitly mentions housing as a disaster risk and that informal settlements
are highly susceptible to losses due to hazard risks (UNDRR 2015). There has
been inconsistent implementation of resilience into affordable housing policy.
There are also important differences in the sophistication of building codes,
risk-informed land use planning and insurance systems between high-income and
low- and middle-income countries, with the latter often having to choose
between affordability and resilience (Birkmann et al. 2016;
Satterthwaite et al. 2020). Recent scholarship has focused on the cost
premium for resilient construction, which is expected to be 3-10% for seismic
or flood resistance, and how disaster losses over the building's life cycle can
make it economically viable in the first place, before it becomes technically
feasible (World Bank 2019).
Housing, economic development, and smart urbanism
The relationship between housing investment and economic development is
well-established in the literature. Housing construction is a labour-intensive
sector with significant backward linkages to materials, services, and finance
sectors, making it a potential engine of inclusive economic growth (De Soto
2000; Buckley and Kalarickal 2006). In Saudi Arabia, the housing sector is
viewed as a key economic diversification vehicle in the Vision 2030 framework,
expected to contribute to GDP diversification, private sector employment, and
domestic capital markets (Vision 2030 2016). In Pakistan, housing has been
positioned similarly as a poverty alleviation tool with employment multiplier
effects, particularly through the NPHP (Government of Pakistan 2019).
�������� Smart urbanism�the
application of digital technologies, data analytics, and network infrastructure
to urban management�is increasingly intersecting with affordable housing
policy. Smart building technologies can reduce operational costs for residents,
while data-driven urban planning can improve site selection, resource
allocation, and monitoring (Yigitcanlar et al. 2019). However, critics
caution that the smart city paradigm often privileges technology adoption
without adequate attention to equity, community participation, and the needs of
low-income urban residents (Hollands 2008; March and Ribera-Fumaz 2016). The
literature thus calls for �inclusive smart urbanism� that centres affordability
and social equity alongside efficiency and innovation.
Comparative housing policy studies
The comparative housing policy literature has a rich tradition of
cross-national analysis, from Kemeny�s (1992) work on the distinction between
unitary and dualist rental markets, to Whitehead and Scanlon�s (2007)
comparative studies of social housing in Europe, and more recent efforts to
compare housing policies across the Global South (Pugh 2001; Rolnik 2013).
Within the Middle East and South Asian context, comparative housing scholarship
is thinner, partly reflecting a historical focus on shelter in international
development circles rather than integrated economic and urban development
frameworks. This paper seeks to fill a gap in the literature by systematically
comparing Saudi and Pakistani housing frameworks with global normative
standards, and by proposing an original integrated framework for cross-national
policy learning.
METHODOLOGY
This study employs a qualitative comparative policy analysis
methodology, triangulated with structured document review, multi-criteria
policy matrix construction, and illustrative case study analysis. The research
design is consistent with the interpretive policy analysis tradition (Fischer
2003; Yanow 1996), adapted to accommodate a cross-national comparative
framework.
Data sources and document analysis
Key primary policy documents are: Saudi Vision 2030 Housing Programme
documentation; National Transformation Programme 2020 (Saudi Arabia); NHUP
2021-2025 (Pakistan); NPHP policy guidelines; UN SDGs monitoring tools and
Voluntary National Review for each country; UN-Habitat Global State of Housing;
World Bank housing sector analysis; and OECD housing policy reviews. Literature
secondary sources were systematically sourced from Scopus, Web of Science, and
Google Scholar databases through search terms such as 'affordable housing,'
'resilient housing,' 'Saudi housing policy,' 'Pakistan housing policy,' 'UN SDG
11,' among others.
Comparative policy matrix
A six-dimension comparative policy matrix was constructed to
systematically evaluate the three frameworks (Saudi Vision 2030, UN SDGs,
Pakistan NHUP) across the following analytical dimensions: (i) affordability
targets and mechanisms; (ii) housing finance and subsidy structures; (iii)
climate resilience and disaster risk reduction; (iv) smart urban infrastructure
integration; (v) economic development linkages; and (vi) governance and
implementation architecture. Each dimension was evaluated using a four-point
scale (Absent / Weak / Moderate / Strong) calibrated against international best
practice standards drawn from the literature.
Case study selection
Three national and subnational case studies were selected for in-depth
analysis using purposive sampling: (i) Saudi Arabia�s National Housing Company
(NHC) new town development programs; (ii) Pakistan�s Naya Pakistan Housing
Programme pilot projects in Islamabad and Khyber Pakhtunkhwa (KPK); and (iii)
comparative international examples including Singapore�s Housing and
Development Board (HDB) and South Africa�s Breaking New Ground housing
programme, selected for their relevance to the affordability-resilience-economic
development nexus. Case data were gathered from project reports, grey
literature, media sources, and, where available, academic evaluations.
Saudi-Pakistan
Affordable and Resilient Housing
(SPARH) framework
development
The SPARH framework was developed through a three-stage process: (i) gap
analysis from the comparative matrix; (ii) synthesis of international best
practice from the case studies and literature; and (iii) conceptual integration
using systems thinking to identify four strategic pillars and their
inter-linkages. The framework was structured to be applicable across both Saudi
and Pakistani contexts while remaining adaptable to other emerging economy
settings.
GLOBAL HOUSING CHALLENGES
There are multiple global
housing issues relating to quantity, quality, vulnerability to climate change,
and affordability. The quantity is very high with the UN-Habitat (2023b)
estimating that we will need to increase the number of units we build globally
by 96,000 each day until 2030; equalling around 2 billion new units. These
issues will heavily impact South Asia, accounting for 35% of the global
requirement, and Sub-Saharan Africa (25%). With secondary issues affecting
Southeast Asia and portions of the Middle East and North Africa (MENA) regions.
There is an expected need for 1.5 million new units to be constructed within
urban areas over Saudi Arabia and the MENA region every decade (World Bank
2022).
�������� The
quality of housing is also an issue. The World Health Organisation estimate
that over 3.5 billion people reside in housing not up to minimum requirements
with regards to structure, sanitation, and ventilation, or are overcrowded (WHO
2018). Informal settlements with vulnerable housing to climate change have
grown due to them often being built on flood plains, hills, and other
undesirable land. Over 1 billion people live in these settlements within
developing countries. Climate change has increased the risk that housing faces.
The Intergovernmental Panel on Climate Change (IPCC) has estimated that housing
will face much higher costs associated with damage and displacement from
increased sea levels, severe storms, high temperatures, and changes in rainfall
patterns in coming decades (IPCC 2022). For example, Pakistan had major
flooding in 2022 which caused over 1.7 million homes to be damaged/destroyed.
The cost of damages to housing was estimated to be over USD 5.6 billion,
showing how poverty, inadequate housing, and climate change can cause issues
(Pakistan Federal Flood Commission 2022).
�������� Economic exclusion from
formal housing markets affects the majority of urban residents in low- and
middle-income countries. Formal housing finance systems typically require
stable incomes, collateral, and credit histories that exclude informal-sector
workers, who constitute the majority of the workforce in Pakistan
(approximately 72%) and a significant portion of Saudi Arabia�s migrant
workforce. The result is a �missing middle� in housing finance: households too
affluent for government-subsidised housing but too poor for formal market
products, driving the growth of informal settlements (Datta and Jones 2001;
Mercer 2020). Selected indicators for each of these dimensions are summarised
in Table 1.
SAUDI VISION 2030 HOUSING
POLICIES
Overview and policy architecture
Saudi
Vision 2030 is the biggest restructuring of the Saudi Arabian state since the
oil boom era, announced by Crown Prince Mohammed bin Salman in April 2016. In
this national transformation agenda, housing is a focal point, which is set out
as one of 13 Vision Realisation Programs, with a Vision 2030 target of
achieving homeownership to increase from 47% (2016 baseline) to 70% by 2030
(Housing Programme 2018). Major restructuring of institutional frameworks for
housing delivery under Vision 2030. The Ministry of Housing was bolstered and
enhanced in its coordinating capacity. The National Housing Company (NHC) is of
joint-stock company which is responsible for large-scale housing development
and public-private partnership. The Real Estate Development Fund (REDF) was
reorganized as the main form of mortgage loan facilitation and subsidy,
providing subsidized loans to eligible Saudi nationals. The Real Estate General
Authority (REGA) was created to control the real estate industry, increase
transparency and end land hoarding.
Affordability mechanisms
The cornerstone of Saudi Vision 2030�s affordability strategy is the
Sakani programme, launched in 2017, which integrates housing land allocations,
subsidised mortgage products, and ready-to-build infrastructure. By 2023, the
Sakani programme had provided over 700,000 housing solutions (a combination of
plots, apartments, and mortgage subsidies), substantially exceeding initial
targets (NHC 2023). The REDF offers mortgage support products including
profit-rate subsidies, down-payment assistance, and guarantees to commercial
banks, making formal homeownership accessible to first-time buyers in the
middle- and lower-middle-income segments.
�������� Land policy has been an
important issue for making housing affordable. Urban land markets have
traditionally been dominated by vacant land speculation in Saudi Arabia. To
increase land supply and tackle land speculation, the White Land Tax was
introduced in 2017 under Vision 2030. This tax is applied to vacant land over a
certain minimum size in urban areas. Initial evidence suggests that it has been
somewhat successful at increasing land supply however there have also been
issues with implementation and avoidance (Al-Surf and Bharat 2021).
Construction technology and quality standards
Saudi Vision 2030 has explicitly promoted industrialized and modular
construction technologies as mechanisms to reduce construction costs, improve
quality, and accelerate delivery. The NHC has piloted prefabricated
construction systems in several large-scale developments, and a National
Building Code revision process has been ongoing to incorporate energy
efficiency, structural resilience, and smart building standards.
�������� The government has also
promoted the adoption of Building Information Modelling (BIM) for large housing
projects, aligning with global trends in construction digitization. However,
climate adaptation in building standards remains an underdeveloped area. Saudi
Arabia�s severe climate (with peak summer temperatures exceeding 45�C in interior cities) creates significant building performance requirements for
cooling energy efficiency and heat-island management, yet systematic
integration of passive cooling design and urban heat island mitigation into
national housing program remains limited (Alshehri 2020).
Gaps and critiques
Despite Vision 2030 housing
having achieved some successes there have also been substantial criticisms.
Scholars of social equity have identified that the Sakani programme is very
focused on providing housing for Saudi Nationals within the formal sector. This
leaves a huge amount of low income workers, such as many Saudi females who have
recently entered the workforce, without housing (Alqahtani and Saber 2022).
Migrant workers make up around 38% of the overall population of Saudi Arabia
and play a key role in the construction sector. They, however, are completely
left out of any housing schemes and face severe issues in regard to informal
housing. The biggest issue in terms of strategy would be the lack of focus on
climate resilience. There is no element of climate adaptation or disaster risk
reduction in the housing scheme. Saudi Arabia faces numerous climate related
risks including extreme temperatures, sudden flooding (specifically in Jeddah
and Makkah) and water scarcity. Having no requirement for housing to be
designed resiliently will leave them vulnerable in the long term. (Saudi Green
Initiative 2021)
UN SUSTAINABLE DEVELOPMENT GOALS
AND HOUSING
SDG 1: No Poverty
The UN 2030 Agenda for Sustainable Development provides the most
comprehensive normative framework for housing within the context of integrated
sustainable development. Five of the seventeen SDGs have direct relevance to
housing and urban resilience. SDG 1 targets include ensuring that all men and
women, particularly the poor and vulnerable, have equal rights to economic
resources, access to basic services, and ownership of and control over land and
other forms of property (UN 2015). Target 1.4 specifically addresses property
rights and access to financial services, directly linking poverty eradication
to housing tenure security and housing finance access. Inadequate housing is
both a symptom and a cause of poverty: households insecure, substandard, or
overcrowded housing face higher health costs, poorer educational outcomes for
children, limited ability to accumulate assets, and greater vulnerability to
economic shocks (Patel 2021).
SDG 8: Decent Work and Economic Growth
SDG 8 targets inclusive and sustainable economic growth and full
productive employment. The housing construction sector is one of the most
labour-intensive sectors of any economy, with significant forward and backward
economic linkages. The SDG 8 framework thus supports housing investment as an
economic development mechanism, particularly when it generates local
employment, promotes small and medium enterprise development in construction
supply chains, and enables the productive use of slum-upgrading assets (ILO
2019).
SDG 9: Industry, Innovation, and Infrastructure
SDG 9 calls for building resilient infrastructure, promoting inclusive
and sustainable industrialisation, and fostering innovation. In the housing
context, this encompasses resilient building materials and construction
practices, innovative housing finance mechanisms, digital infrastructure in
residential developments, and the development of a sustainable housing
construction industry. SDG 9.1 specifically calls for developing quality,
reliable, sustainable, and resilient infrastructure to support economic development
and human well-being. The key target is 9.1: quality, reliable, sustainable and
resilient infrastructure that supports economic development and human
well-being, with affordable and equitable access for all.
SDG 11: Sustainable Cities and Communities
SDG
11 is the most directly relevant goal for housing and urban development. Target
11.1 specifically commits to ensuring access for all to adequate, safe, and
affordable housing and basic services, and upgrading slums by 2030. Target 11.3
addresses inclusive and sustainable urbanisation, 11.4 focuses on protecting
cultural and natural heritage, 11.5 addresses disaster loss reduction, 11.6
targets urban environmental impact, and 11.7 ensures access to safe public
spaces. New Urban Agenda (Quito 2016) operationalises SDG 11 with detailed
implementation guidance.
SDG 13: Climate Action
SDG 13 calls for urgent action to combat climate change and its impacts.
For the housing sector, this translates into the imperative for
climate-resilient construction standards, risk-informed urban planning,
integration of climate adaptation into housing programs, and mobilisation of
climate finance for housing resilience investment. The IPCC�s Sixth Assessment
Report (2022) identifies housing as both a significant source of greenhouse gas
emissions (through embodied carbon in construction and operational energy) and
a critical adaptation frontier. Table 2 summarises the alignment of Saudi
Vision 2030 and Pakistan�s NHUP with the key SDG target.�
PAKISTAN�S HOUSING AND URBAN
DEVELOPMENT POLICIES
Housing crisis context
Pakistan is one of the
fastest-urbanising countries in the
Table
1: Global housing challenge dimensions and selected indicators Dimension Global
Estimate Saudi
Arabia Pakistan Relevant
SDG Housing
Deficit 1.6
Billion persons Estimated
200,000+ units/year demand 10�12
Million units SDG
11.1 Informal
Settlement Residents 1.1
Billion ≈5%
urban population ≈45%
urban population SDG
11.1, SDG 1 Housing
Finance Access <
30% of adults in LMICs Expanding;
Sakani programme <
10% of adults SDG
8, SDG 1 Climate-Vulnerable
Homes 1
Billion+ Heat
& water stress Flood/seismic
risk acute SDG
13, SDG 11 Housing
Investment (% GDP) 5�8%
typical ≈5%
(growing) ≈3%
(inadequate) SDG
9 Fig.
1: Conceptual overview of the
Saudi�Pakistan Affordable and Resilient Housing (SPARH) framework. The
scene contrasts the housing contexts of the two countries: a rapidly
urbanising Saudi Arabia guided by Saudi Vision 2030 (left), and a
flood-exposed Pakistan guided by the National Housing and Urban Policy
(NHUP; right). SPARH (centre) is shown as a single housing system aligned
with the UN Sustainable Development Goals (SDGs 1, 8, 9, 11 and 13) and
resting on a foundation of governance, data and accountability (underground
layer). This foundation links delivery institutions (NHC, REDF, REGA),
unified building codes and land records, a national housing data system,
monitoring mechanisms and South�South cooperation. The framework is
organised into four pillars (I�IV): affordability and financial inclusion,
climate resilience and risk reduction, smart and inclusive infrastructure,
and housing�economy linkages. Together they lead to four outcomes:
affordable homes for all, climate-resilient communities, inclusive growth
with decent jobs, and smart, sustainable cities. Table 2: Alignment of Saudi Vision 2030 and Pakistan NHUP with key UN SDGs SDG Target Saudi Vision 2030
Alignment Pakistan NHUP Alignment Gap Assessment SDG 1.4 (Property Rights and Finance) Strong � REDF, Sakani
mortgage support Moderate � NPHP, housing
finance expansion Pakistan: credit access
weak SDG 8.3 (Inclusive Growth/Jobs) Moderate � construction
sector jobs Strong � explicit
employment focus in NPHP Saudi: migrant workers
excluded SDG 9.1 (Resilient Infrastructure) Moderate � building code
reform Weak � limited resilient
infrastructure Both: climate standards
missing SDG 11.1 (Adequate Housing) Strong � Sakani, NHC
programmes Moderate � NPHP targets;
delivery gaps Pakistan: delivery gap;
Saudi: equity gap SDG 11.3 (Sustainable Urbanisation) Strong � master-planned
communities Weak � rapid informal
urbanisation Pakistan: governance
fragmented SDG 11.5 (Disaster Loss Reduction) Weak � no explicit DRR in
housing Weak � reactive
post-disaster only Both: DRR not mainstreamed SDG 13.1 (Climate Resilience) Absent � no climate
adaptation in housing Weak � post-2022 floods
policy emerging Critical gap in both
frameworks Table 3: Comparative policy matrix � Saudi vision 2030, UN SDGs, Pakistan
NHUP Policy Dimension Saudi Vision 2030 UN SDGs (Relevant) Pakistan NHUP Synthesis Gap Affordability Mechanisms STRONG: Sakani, REDF subsidies, land tax NORMATIVE: SDG 11.1 targets; no mechanism MODERATE: NPHP, Mera Ghar; delivery gap Finance depth & delivery capacity Housing Finance Innovation STRONG: REDF restructuring, mortgage market NORMATIVE: SDG 8.3 inclusive finance WEAK: <1% GDP mortgage depth Inclusive finance for informal sector Climate Resilience Standards ABSENT: No explicit climate-housing linkage STRONG: SDGs 9, 11.5, 13 norms WEAK: Post-disaster only; no mainstreaming Critical gap across all frameworks Smart Urban Infrastructure MODERATE: NHC smart communities pilot NORMATIVE: SDG 9, 11.3 references WEAK: Digital infrastructure limited Technology-equity tension Economic Development Linkage MODERATE: GDP diversification rationale STRONG: SDG 8 employment, SDG 9 industry STRONG: NPHP employment emphasis Monitoring & value chain integration Governance and Institutional Capacity STRONG: NHC, REDF, REGA institutional reform NORMATIVE: SDG 17 partnerships WEAK: Federal-provincial fragmentation Data systems & accountability
Naya Pakistan Housing Programme (NPHP)
The most significant recent housing policy initiative in Pakistan is
the Naya Pakistan Housing Programme (NPHP), launched under the Pakistan
Tehreek-e-Insaf government in 2018 2019, with a target of delivering 5 million
affordable housing units within five years. The NPHP introduced several
innovative policy mechanisms: a government-backed mortgage scheme (Mera
Pakistan Mera Ghar) offering subsidised loans at 3 5% interest rates; a
construction technology park initiative to promote ffordable building materials
and techniques; and a partnership framework to engage private developers in
affordable housing delivery on government-provided land.
�������� The NPHP achieved some
notable early results, including the issuance of approximately 400,000 mortgage
approvals through the Mera Pakistan Mera Ghar scheme by 2022, and the
initiation of several pilot housing colonies in Islamabad, Lahore, and KPK.
However, the programme fell substantially short of its 5 million unit target,
with fewer than 50,000 units in various stages of construction by 2022
(Pakistan Housing Authority Foundation 2022). Critics attributed these
shortfalls to institutional fragmentation (housing is a devolved subject under
the 18th Constitutional Amendment, creating coordination challenges between
federal and provincial governments), land acquisition difficulties, lack of
standardised building codes, and the absence of a functioning construction
supply chain for affordable units.
Climate vulnerability and disaster risk
Pakistan�s housing crisis intersects acutely with climate change and
natural disaster risk. The country ranks among the world�s ten most
climate-vulnerable nations (Germanwatch 2021). The 2022 super-floods, described
as a �climate catastrophe,� submerged approximately one-third of Pakistan�s
total land area, displacing 33 million people, damaging or destroying 1.7
million homes, and causing estimated total economic damage of USD 30 billion
(UNDP 2022). The floods exposed the catastrophic inadequacy of Pakistan�s
housing stock in climate-exposed areas: the vast majority of damaged homes were
constructed from mudbrick or other kutcha materials without any flood-resistant
features.
�������� Pakistan�s post-disaster
housing reconstruction policies have historically focused on temporary shelter
and ad hoc reconstruction without systematically integrating resilient building
standards or risk-informed land use planning. The Resilient Recovery, Rehabilitation,
and Reconstruction Framework (4RF), developed following the 2022 floods with
international support, represents an important step toward integrating
resilience into Pakistan�s housing reconstruction agenda, but systematic
integration into forward-looking housing policy has yet to be achieved.
Provincial policies and governance fragmentation
The 18th Constitutional Amendment (2010) devolved significant housing
and urban development functions to Pakistan�s four provinces (Punjab, Sindh,
KPK, Balochistan) and federal territories. While devolution has enabled more
context-specific policy, it has also created significant fragmentation in
building codes, land administration systems, housing finance frameworks, and
urban planning governance. The absence of a unified national housing data
system makes accurate monitoring of housing need and programme delivery
extremely difficult. The SPARH framework proposed in this paper explicitly
addresses governance architecture as a critical enabling condition for
effective affordable housing delivery.
COMPARATIVE POLICY ANALYSIS
Building on the documentary analysis and matrix developed in the
Materials and Methods section, this section provides a systematic comparative
analysis of the three policy frameworks on six dimensions (Table 3). The matrix
shows three important discoveries. The first is that climate resilience is not
represented in either national framework, although it is identified as a
normative priority in the SDGs, and is the most important gap to address now.
Second, the innovation and inclusion in housing finance is one of the critical
weaknesses of Pakistan and one of the relative strengths of Saudi Arabia, thus
making it possible to transfer knowledge from south to south. Third, the
capacity of governors and data systems are also basic enabling conditions,
whose lack of strength in Pakistan has a basic and profound impact on programme
delivery, regardless of the quality of the programme design. Perhaps the most
striking thing that can be said about this is that across the frameworks, there
is a strong focus on housing as an economic development engine. Saudi Vision
2030, like Pakistan's NPHP, sees housing investment as a way to create jobs,
expand the private sector, and diversify the economy. This alignment with SDG 8
goals justifies the development of common frameworks based on the housing
sector for wider economic development goals.
CASE STUDIES
Saudi Arabia: National Housing Company New Community Developments
The National Housing Company (NHC) has been the primary vehicle for
large-scale housing supply under Vision 2030. Its flagship projects include
Al-Fursan City (Riyadh), a 10,000-unit mixed-income development integrating
residential, commercial, and recreational uses; and Juman City (Eastern
Province), a waterfront residential community targeting middle-income Saudi
families. These developments exemplify the NHC�s master-planned community
model: land is acquired by the government, serviced with infrastructure, and
then sold or developed in partnership with private sector developers.
�������� Key lessons from the NHC
model include: the effectiveness of integrated land preparation and
infrastructure provision in reducing developer cost and risk; the challenge of
ensuring affordability at the lower end of the income spectrum when market
mechanisms are primary; the importance of location (several NHC projects have
been criticised for peripheral locations disconnected from employment centres);
and the pilot-stage adoption of green building features that have yet to be
scaled systematically.
Pakistan: Naya Pakistan Housing Programme Pilot Projects
Pakistan�s NPHP pilot projects in Islamabad�s G-13 sector and KPK�s
Haripur district provide instructive evidence of the programme�s strengths and
limitations. The Islamabad pilot demonstrated the feasibility of government
land preparation for affordable housing and the potential of subsidised
mortgages to mobilise demand from middle-income households. However, the KPK
pilot, intended to demonstrate delivery for lower-income rural-to-urban
migrants, faced severe delays due to land acquisition disputes, contractor
capacity limitations, and building material supply chain disruptions.
The 2022 floods provided an inadvertent case study in housing resilience
failure. Post-flood assessments found that majority of the destroyed homes in
Sindh and Balochistan were constructed with non-engineered, non-resilient
materials�a stark demonstration of the cost of neglecting resilient design
standards in affordable housing. The government�s post-flood reconstruction
effort, supported by UNDP and the World Bank, has systematically incorporated
resilient rebuilding standards for the first time, offering an important model
for scaling.
International comparators
Singapore�s Housing and Development Board (HDB) is widely regarded as
one of the world�s most successful public housing models, housing over 80% of
Singapore�s resident population in high-quality, well-located, and
comprehensively serviced public housing estates. The HDB model�s transferable
lessons include long-term institutional continuity and political commitment;
compulsory national savings (Central Provident Fund) mobilised for housing
finance; systematic integration of social diversity, commercial services, and
transit access in estate design; and ongoing asset upgrading programs that
maintain housing quality over decades. While Singapore�s city-state context
limits direct transferability, the institutional architecture and finance
mechanisms offer clear lessons for both Saudi Arabia and Pakistan.
�������� South Africa�s Breaking
New Ground (BNG) programme, initiated in 2004 as a reform of the predecessor
RDP housing programme, aimed to produce �sustainable human settlements� rather
than isolated housing units. BNG�s emphasis on location efficiency, mixed-income
community design, social services integration, and incremental upgrading of
informal settlements offers relevant lessons for Pakistan�s urban context.
However, BNG has also been criticised for slow delivery and the persistence of
spatial apartheid patterns, underscoring the importance of implementation
capacity and political economy alongside good policy design.
RESULTS AND DISCUSSION
The
conclusions that can be drawn from comparative analysis is important, not only
in terms of theory, but also policy. One finding is that the
affordability-resilience trade-off is a financing issue and not a technical
one. Saudi Arabia and Pakistan have misleadingly marketed the construction of
�climate resilient' facilities as an �extra expense' on the projects they seek
to target. On the bright side, however, the evidence from international case
studies and literature on disaster economics, is highly consistent in showing
that the cost benefit ratio of resilience investment is positive over the
building lifecycles (World Bank 2019). The lack of resilience investments is
not an affordability issue, it's a financial market failure, short housing loan
terms, low-risk premiums in the insurance market and the lack of foresight by
the public sector in managing contingent disaster liabilities. Finding 2: The
institutional architecture is the salient constraint in Pakistan whereas the
salient constraint is equity in Saudi Arabia. The comparative analysis reveals
that the lack of institutional coherence, data systems and delivery capacity
are the main issues in the housing programme in Pakistan which are universal
and applicable to various policy designs and political leadership. However, the
institutional reforms in Saudi Arabia (NHC, REDF, REGA) have established a
functional housing delivery system, but there is a lack of development in the
equity architecture, with lower-income Saudi households, women and migrant
workers significantly under-served. The issue of housing inequality can be
exacerbated by Smart Urbanism without Inclusive Design (Find 3). Although both
countries have implemented smart urban infrastructure on housing, they have not
paid attention to the costs for low-income citizens, and the community
governance of smart systems. Research in other emerging-economy smart cities
(India, Kenya, Indonesia) has been consistent that smart infrastructure can be
exclusionary without an awareness of the need for equity. Challenging: SDG
framework does not have an operational mechanism apart from the normative
guidance. The UN SDG framework rightly targets the key drivers of the housing
issue and establishes aspirational regulatory targets. The SDG monitoring framework
is, however, not operationally detailed enough for policy design at country
level: For example, SDG 11.1 does not specify the institutional design, the
financing model or technical standards to achieve the SDG 11.1 at country
level. The SPARH model is a chance to fill this gap with its operational
framework, which it seeks to establish. Finding 5: There is much potential for
knowledge transfer from South-South. The Saudi Pakistan economic, cultural and
diplomatic ties are quite broad and extensive, including substantial remittance
transfers by Pakistani migrant workers in Saudi Arabia and development finance.
But little systematic knowledge sharing of housing policy has been observed.
This is shown as a proposed model framework (SPARH) to operationalise this
potential, in bilateral institutional mechanisms, development of joint research
programs and technology transfer modalities.
THE SAUDI PAKISTAN AFFORDABLE AND RESILIENT HOUSING FRAMEWORK (SPARH)
Framework
overview
The SPARH Framework is an original integrated policy model that
synthesises the comparative analysis findings, international best practice
lessons, and SDG normative standards into a four-pillar framework for
affordable and resilient housing policy. The framework is designed to be
applicable across both Saudi and Pakistani contexts while remaining adaptable
to other emerging economy settings confronting the combined challenges of
housing affordability, climate resilience, and sustainable urban economic development.
The four strategic pillars of SPARH are: (I) Housing Affordability and
Financial Inclusion; (II) Climate Resilience and Disaster Risk Reduction; (III)
Smart and Inclusive Urban Infrastructure; and (IV) Housing-Economic Development
Linkages. These four pillars are supported by a cross-cutting enabling
condition: Governance, Data, and Accountability Architecture. The pillars are
conceptualised as mutually reinforcing progress in each pillar creates enabling
conditions for the others, while weakness in any one pillar undermines the effectiveness of the overall
framework. The framework is shown in Fig. 1.
�
Pillar I: Housing Affordability and Financial Inclusion
The first pillar addresses the supply-demand-finance triangle that
determines whether housing is accessible to households across the income
spectrum. Under SPARH, affordability policy is operationalised through three
integrated sub-components.
�������� The first sub-component is
Inclusive Housing Finance, encompassing: (a) the development of mortgage
products adapted to informal and variable income patterns, including �step-up�
mortgages where payments increase as household incomes grow; (b) community-based
savings groups (following the Slum Dwellers International model) as
complementary savings mechanisms; (c) risk guarantees to commercial lenders to
crowd in private capital for low-income mortgage lending; and (d) Islamic
finance instruments (murabaha, diminishing musharakah) adapted for low-income
housing, highly relevant to both Saudi and Pakistani Muslim-majority contexts.
�������� The second sub-component
is Supply-Side Cost Reduction, encompassing: (a) public land banking and
affordable lease mechanisms that separate land cost from housing development
cost; (b) regulatory simplification (streamlined building permits, standardised
planning requirements) to reduce time and cost of formal housing development;
(c) industrialised construction technology promotion through government
procurement preferences and construction technology centres; and (d) local
materials development that reduces dependence on expensive imported
construction materials.
�������� The third sub-component is
Demand-Side Targeting, encompassing: (a) income-graduated subsidies that target
the deepest subsidies to the lowest-income quintiles while using market
mechanisms for upper-income groups; (b) housing vouchers for rental support as
an alternative to ownership subsidies for the most mobile or economically
vulnerable households; and (c) cross-subsidy mechanisms within mixed-income
developments that generate internal finance for below-market units.
Pillar II: Climate Resilience and Disaster Risk Reduction
The second pillar directly addresses the critical gap identified in
both national frameworks. Under SPARH, climate resilience in housing is
operationalised through mandatory standards, risk-informed planning, and
innovative finance. Mandatory Resilient Building Standards would establish
minimum resilience requirements calibrated to local hazard profiles (seismic
zones, flood maps, heat extremes) for all formally permitted housing, phased
over five years to allow supply chain and skills adaptation. These standards
would cover structural resistance, flood-proofing passive cooling performance,
and water efficiency, with technical specifications adapted from international
standards and frameworks (ISO 13157 for flood resilience; the Sendai Framework
for DRR).
�������� Risk-Informed Urban Land
Use Planning would integrate national hazard maps with formal land use planning
systems to prohibit new formal housing development in high-risk zones and
create incentive systems (density bonuses, infrastructure priority, expedited
permits) for development in low-risk locations. This component requires
significant investment in geospatial data infrastructure and planning capacity,
particularly in Pakistan.
�������� Resilience Finance
Mechanisms would address the affordability-resilience financing gap through:
(a) a Resilient Housing Fund that combines domestic budget allocation with
climate finance from the Green Climate Fund, the Loss and Damage Mechanism, and
bilateral climate finance to subsidize the resilience cost premium for
low-income housing; (b) mandatory risk disclosure in housing markets that
allows buyers to price resilience into property decisions; and (c) parametric
disaster insurance products for low-income housing that provide rapid
post-disaster reconstruction finance without the administrative burden of
traditional insurance claims.
Pillar III: Smart and Inclusive Urban Infrastructure
The third pillar addresses the integration of digital and smart
infrastructure into housing and neighbourhood design, with a central emphasis
on inclusion and affordability of operational costs.
�������� Inclusive Smart
Infrastructure Standards would establish requirements for digital
infrastructure in all new housing developments (fibre connectivity, smart
metering, secure digital identity systems) while mandating community ownership
of shared data and infrastructure rather than private vendor lock-in.
Operational cost transparency requirements would ensure that smart
infrastructure does not create unaffordable utility bills for low-income
residents.
A digital housing management
System would provide digital solutions to: Transparent allocation system for subsidized
housing using digital waiting list systems property management systems to
manage buildings efficiently and effectively energy monitoring systems to
reduce costs community information systems. Smart Urban Mobility ensures that
housing locations are valued by ensuring that housing is located in sites that
have good access to a transport network. This is achieved by requiring housing
developments to be located within 800m of a transport network (Pillar III of
SPARH). Cycles and pathways will also be included. Low-income residents will
also have access to digital mobility systems.
Pillar IV: Housing Economic Development Linkages
The fourth pillar explicitly operationalises the relationship between
housing investment and broader economic development goals, addressing a
dimension that is recognised in both national frameworks but inadequately
operationalised in either. Local Employment and Supply Chain Development
standards within SPARH would require public housing developments above a
threshold size to achieve minimum percentages of local labour (70%), local
materials (50%), and local professional services (60%). Small and medium enterprise
development programs would build construction sector capacity, particularly
among women-owned enterprises and youth-owned businesses. Housing as
Asset-Building for Households recognises that housing is the primary store of
wealth for most low- and middle-income households. SPARH supports secure tenure
for all housing (whether rental or ownership) as a precondition for households
to use housing as an asset; improved property registration systems that reduce
transaction costs and enable the use of housing as collateral for productive
credit; and incremental building programs that allow households to invest in
their own housing quality improvements over time.
�������� Neighbourhood Economic
Development Integration designs housing developments as nodes in broader urban
economic systems rather than isolated residential enclaves. This includes
mandatory provision of commercial and economic space within large housing developments;
co-location of housing with employment zones, industrial parks, and economic
development initiatives; and digital platforms connecting housing estate
residents with local employment opportunities (Fig. 2).
Enabling condition: governance, data, and accountability
The SPARH framework recognises that high-quality policy design is
insufficient without complementary governance architecture. The enabling
condition layer specifies: a unified national housing data system that tracks
housing need, supply, programme delivery, and outcome indicators against SDG
and national targets; a multi-level governance architecture that coordinates
national policy with provincial and local delivery, with clear role delineation
and intergovernmental transfer mechanisms; independent programme monitoring and
evaluation with public reporting; meaningful community participation
requirements in housing programme design and governance; and bilateral Saudi Pakistan
institutional cooperation mechanisms (annual ministerial dialogue, joint
research fund, technical exchange programme). Table 4 summarises the
operational components, indicators, and SDG alignment of the framework
POLICY RECOMMENDATIONS
Based on the comparative analysis and the SPARH framework, this paper
advances twelve specific policy recommendations for Saudi Arabia, Pakistan, and
for bilateral and multilateral action.
Recommendations for Saudi Arabia
Recommendation 1: Extend the Sakani programme�s reach to lower-income quintiles and to
Saudi women entering the workforce for the first time through dedicated
mortgage products with lower income thresholds and alternative credit
assessment methodologies.
Recommendation 2: Introduce mandatory climate resilience standards in the National
Building Code for all residential buildings, prioritising passive cooling performance,
water efficiency, and flash flood resistance in coastal and valley locations.
The Saudi Green Initiative (2021) already provides a normative anchor for this
measure.
Recommendation 3: Develop a bilateral technical cooperation programme with Pakistan on
housing finance innovation, specifically exploring the transfer of REDF
financing models and Islamic finance housing products to the Pakistani context,
including a joint Islamic Housing Finance Development Fund.
Recommendation 4: Expand the NHC�s community development mandate to include economic
development components�local enterprise development, job training centres, and
digital economic infrastructure�within large-scale housing developments,
thereby converting residential estates into mixed economic communities.
Recommendations for Pakistan
Recommendation 5: Establish a unified National Housing Data System under the Ministry of
Housing, Works, and Urban Affairs, integrating data from all four provinces and
federal territories, with annual public reporting against SDG 11.1 targets and
national housing programme indicators.
Recommendation 6: Mainstream climate resilience into housing reconstruction and new
housing programs by adopting a National Resilient Housing Code, calibrated by
provincial hazard zones, as a precondition for public sector housing finance
and subsidy eligibility.
Recommendation 7: Resolve the housing-sector governance fragmentation created by the
18th Amendment through a Table
4: SPARH Framework � Operational Components, Indicators,
and SDG Alignment SPARH Pillar Key Operational Component Primary Indicator SDG Alignment I � Affordability &
Finance Inclusive mortgage products % LI households with housing
finance access SDG 1.4, 8.3, 11.1 I � Affordability &
Finance Public land banking Affordable units on public
land (annual) SDG 11.1, 10.2 II � Resilience & DRR Mandatory resilient building
standards % new units meeting resilience
code SDG 11.5, 13.1, 9.1 II � Resilience & DRR Risk-informed land use
planning % housing in low-risk zones SDG 11.3, 13.1 II � Resilience & DRR Resilience Finance Fund Annual climate finance for
housing (USD M) SDG 13.a, 17.3 III � Smart Urban Digital infrastructure in
housing % units with broadband
connectivity SDG 9.c, 11.3 III � Smart Urban Transit-accessible site
selection % units within 800m of public
transport SDG 11.2, 11.3 IV � Economic Linkage Local employment standards % local labor in public
housing projects SDG 8.3, 8.5 IV � Economic Linkage Secure tenure for all % households with documented
tenure SDG 1.4, 11.1 Enabling: Governance National housing data system Data completeness &
timeliness score SDG 17.18
Recommendation 8: Scale the Mera Pakistan Mera Ghar programme with specific targeting of
informal sector workers through salary or income verification via digital
payment records, mobile money transaction history, or employer cooperatives,
thereby reducing the exclusion of the informal sector from formal housing
finance.
Bilateral and multilateral recommendations
Recommendation 9: Establish a Saudi Pakistan Housing Cooperation Initiative under the
ambit of the Saudi Fund for Development, with dedicated funding for Pakistani
affordable and resilient housing projects that pilot SPARH framework components
in Pakistan�s peripheral cities.
Recommendation
10: Both
countries should develop and submit to UNFCCC their National Adaptation Plans
(NAPs) with specific chapters on housing sector climate adaptation, enabling
access to the Green Climate Fund�s adaptation financing window for housing
resilience programs.
Recommendation 11: Engage UN-Habitat as a technical partner for the development and
operationalisation of the SPARH framework, leveraging UN-Habitat�s global
programme expertise, knowledge platform, and advocacy access to position SPARH
as a model for bilateral housing cooperation among other emerging economies.
Recommendation 12: Both governments should invest in joint research and professional
exchange programs in affordable and resilient housing design, construction
technology, and urban planning, building the professional human capital
pipeline needed for long-term housing programme delivery.
CONCLUSION
The present paper has thus conducted a comprehensive comparative policy
analysis of the housing agenda in Saudi Vision 2030, the UN Sustainable
Development Goals pertaining the housing and urban development and the National
Housing and Urbanisation Policy of Pakistan. The paper, through structured
documentary analysis, the multi criteria comparative matrix and case study
review, has identified critical gaps, convergences and opportunities for policy
learning across these three frameworks. The main conclusion is that both Saudi
Arabia and Pakistan have progressed substantially towards establishing a more
ambitious housing policy and improving institutional development in the last
few years, but both housing policy frameworks have a critical and common strategic
gap: the lack of systematic incorporation of climate resilience and disaster
risk reduction into affordable housing programs. This is not only a policy
oversight but is fundamentally threatening the housing investment programs in
both countries, as there is growing evidence of climate related extremes
happening at a greater frequency as seen in the floods of 2022 in Pakistan as
reported by the IPCC. The SDG framework, with its targets and goals, is the
normative mandate to address this gap, and an operational translation is needed
now. The paper is an original contribution to the literature and to the
practice of policymaking, presented here under the name of Saudi Pakistan
Affordable and Resilient Housing Framework (SPARH). SPARH offers an enabling
framework that brings the four strategic pillars (housing affordability and
financial inclusion, climate resilience and disaster risk reduction, smart and
inclusive urban infrastructure, and housing economic development linkages)
together in an operationally grounded approach to housing policy development
that goes beyond the existing approach in both countries. The SPARH framework
is provided as a guide to policy dialogue, adaptation and contextualisation,
not as a blueprint to be implemented. Political economy, culture, institutional
history and fiscal capacity are all part of housing policy and need to be
understood locally and involve communities. The real strength of the framework
is the common language, the analytical dimensions, and the operational
components which open the framework to the Saudi and Pakistani policy makers,
practitioners, civil society and international partners for structured policy
dialogue. The context of the Saudi Pakistan bilateral is just one of the many
factors. The urbanisation, housing shortages, increased climate vulnerability
and budget constraints that affect both countries are common to dozens of
emerging and developing economies. The contribution of the SPARH framework to
the long-term future is, perhaps, its potential as a transferable model which
can be adapted for different country pairs and/or regional groupings to fit
their local context. In an era of increased global housing pressure and of the fast-approaching
opportunity to fulfil SDG 11 targets, innovative bilateral approaches, which
build on complementary national strengths and capacities towards a shared
housing agenda, are a much-needed element in the international development
architecture. Further studies are needed to empirically test the SPARH
framework components in pilot programs in both countries, to rigorously
evaluate the affordability-resilience trade-off under various financial
scenarios, and to create a digital decision-support tool to operationalise the
SPARH planning model for local housing development authorities.
ACKNOWLEDGEMENTS
The author has no
acknowledgements to declare.
DATA AVAILABILITY
No new data were generated in
this review. All data discussed are available in the cited publications.
ETHICS APPROVAL
Not applicable.
FUNDING SOURCE
This research received no
external funding.
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