Jurnal Ilmu Sosial dan Ilmu Politik.
Volume 29.
Issue 3.
March 2026 Jurnal Ilmu Sosial dan Ilmu Politik Volume 29.
Issue 3.
March 2026 .
ISSN 1410-4946 (Prin.
, 2502-7883 (Onlin.
https://doi.
org/10.
22146/jsp.
The GEAR Model and Social Policy on Poverty:
An Analytical Integrative Literature Review Wimmy Haliim Department of Political Science.
Faculty of Social and Political Science.
Universitas Brawijaya.
Indonesia.
mail: wimmyfisip@ub.
Abstract The article summarises the explanatory potential of the GEAR (Growth.
Empowerment.
Adaptability, and Rationalit.
model for explaining and addressing multidimensional poverty in Indonesia.
The investigation solves the persistent question of why poverty remains a systemic problem despite decades of intervention.
GEAR is introduced as a mode of analysis that bridges theoretical principles with the empirical problems of poverty, rather than a descriptive approach that summarises interventions.
The Integrative Literature Review (ILR) approach was used to systematically search Scopus.
ProQuest.
ScienceDirect, and Springer Nature Link, identifying 112 peer-reviewed publications published between 2020 and 2025.
The resulting literature was synthesised and clustered into ten key areas.
To establish coherence, complementarities, and tensions, these areas were critically mapped to the four components of the GEAR model.
The analysis shows that GEAR has much in common with empirically validated interventions.
Accounting for both enabling and constraining dynamics, the study reveals that GEAR not only consists of descriptive synthesis but also functions as a diagnostic model that may be used to explain the successes and failures of policies focused on reducing poverty.
The article concludes that the GEAR model has the potential to guide systemic and adaptive change in Indonesia's social policy landscape.
Keywords:
GEAR model.
poverty policy analysis.
social policy reform.
multidimensional poverty.
Integrative Literature Review Introduction The issue of poverty in Indonesia can no longer be interpreted in a narrow sense as a matter of low income alone.
Studies have established poverty as a multidimensional concept, incorporating education, health, dwelling, availability of state services, as well as social inclusion.
It is also systemic and lies within the framework of sociopolitical structures, regional inequalities, and unequal distributions of opportunity and resources (Fujii, 2.
National poverty data published by Badan Pusat Statistik (BPS.
Statistics Indonesi.
show that, when measured on more than just income, over a quarter of rural households in Indonesia were classified as poor in 2023.
This measurement moves beyond purely financial metrics to include education, healthcare, and housing (BPS, 2.
Moreover, government planning models, such as the 20202024 Rencana Pembangunan Jangka Menengah Nasional (RPJMN.
National Medium-Term Development Pla.
, prioritise a cross-sectoral strategy of poverty reduction, i.
, transforming disjointed social assistance into institutional change and empowerment programmes as necessary (Bappenas, 2.
This is in line with the argument that tackling poverty in Indonesia requires systemic, rather than merely programmatic, change.
Haliim and Muhammad .
note that major social assistance programmes, like Wimmy Haliim : The GEAR Model and Social Policy on Poverty: An Analytical Integrative Literature Review Program Keluarga Harapan (PKH.
Family Hope Programm.
and Bantuan Langsung Tunai (BLT.
Direct Cash Assistanc.
, have lacked effectiveness in reducing poverty rates, failing to achieve significant effects.
The root causes of this failure can be narrowed down into two structural problems: the politicisation of aid delivery for electoral benefit, and a lack of institutional reform for transparent, adaptive, and accountable governance.
This suggests that a radical shift in the social policy is necessary, one that transcends the management of symptoms and instead targets the social and institutional structures underpinning poverty.
The phenomenon of poverty, particularly in Indonesia, has been complicated by income deprivation and an interlocking set of social, structural, and institutional factors, stemming from a short-term orientation and entangled with political interests (Haliim & Muhammad.
Current theories of poverty policy have yielded important lessons, yet remain deficient in addressing the multidimensional and systemic nature of deprivation.
The Sustainable Development Goals (SDG.
framework, while providing international norms and quantifiable targets, often lacks the contextual flexibility needed for effective implementation at the state level (Swain, 2.
The Capability Approach, as articulated by Sen and Nussbaum .
n Alexander, 2.
, usefully emphasises individual well-being and agency but offers less information on the institutional and governance reforms needed.
Welfare state models from developed economies, meanwhile, prove difficult to deploy in developing contexts where fiscal and institutional capacity is limited (Gough, 2.
Conditional cash transfers and other social protection initiatives have shown some effectiveness but have been undermined by political interference and inadequate delivery channels (Haliim, 2.
To integrate these issues, the Growth.
Empowerment.
Adaptability, and Rationality (GEAR) model was developed.
It attempts to unify economic growth strategies, empowerment-oriented interventions, and adaptive governance founded on rational institutional design within a single model.
Accounting for structural risks, such as corruption, politicisation, and climateinduced poverty.
GEAR is positioned to be a programmatic instrument and conceptual model that bridges theory and policy practice.
This positioning reinforces the approach's novelty relative to current paradigms and justifies its analytical examination through an integrative literature review.
A conceptual analysis of the GEAR model is crucial for two reasons.
First, it offers a strategic diagnostic prism through which to assess the disintegration and inefficiencies of existing poverty policies.
This is especially Figure 1.
State Budget (APBN.
Anggaran Pendapatan dan Belanja Negar.
and Social Assistance Rate Compared to Poverty Rate .
Source: APBN and BPS .
Jurnal Ilmu Sosial dan Ilmu Politik.
Volume 29.
Issue 3.
March 2026 relevant in contexts like Indonesia, where the distribution of aid is often compromised by political interests.
Second, it serves as a blueprint for reforming programmes, as stakeholders could redesign them to be more equitable and resilient to future risks such as climate change and digital inequality.
An indepth conceptual analysis of the GEAR model reveals a gap between empirical research and policy practice.
Addressing this gap would strengthen the theoretical basis of the reform, improve coordination among stakeholders, and help poverty alleviation move towards permanent solutions rather than ad hoc Figure 2.
The GEAR Social Policy Model Source: Adopted from Haliim and Muhammad Poverty in Indonesia has remained a multidimensional and systemic issue despite decades of targeted programmes to alleviate it, including conditional cash transfers, rural development initiatives, and direct cash This paradox raises a research question: why have traditional approaches to poverty policy, despite their scale and longevity, failed to yield sustainable results? The persistence of deprivation, beyond just income but also in education, health, housing, and social inclusion, indicates that current models remain piecemeal and vulnerable to political shifts, governance failures, and climate-related risks.
To answer this puzzle, the conceptual innovation of the GEAR model has been proposed as a modification of the poverty policy.
In contrast to descriptive solutions, the GEAR model offers an analytical prism through which structural constraints are connected to policy solutions, offering a possible explanatory power to both the policy successes and failures.
The central question of this article is therefore:
how far does the GEAR model advance our knowledge on poverty policy in Indonesia, and how does it contrast with other frameworks regarding their explanatory power towards enduring problems? This paper uses the Integrative Literature Review (ILR) approach to address these concerns.
This approach is especially useful for bridging theoretical and empirical findings with policy implications drawn from a wide variety of An ILR enables a researcher to summarise and assess previous studies, as well as derive new theoretical insights through a thorough and contemplative synthesis (Torraco, 2.
In this way, the approach provides a robust foundation for critically analysing the GEAR model in relation to the complex, real-world problems of poverty in Indonesia.
Method: Integrative Literature Review (ILR) Digital Libraries for the ILR Process ILRs are not intended to test theory through data but rather to develop conceptual frameworks by synthesising existing knowledge.
However, such reviews lack empirical verification and should be interpreted as theoretically generative rather than conclusive (Whittemore & Knafl, 2.
This study employs an ILR approach not to conduct causal testing, but to generate conceptual explanations by systematically synthesising prior research.
To this end, a systematic literature search was conducted across four major academic databases: Scopus.
ProQuest.
ScienceDirect, and Springer Nature Link.
The search strategy and criteria were as Wimmy Haliim : The GEAR Model and Social Policy on Poverty: An Analytical Integrative Literature Review A Scopus The search string used was: "poverty alleviation model" OR "poverty alleviation" OR "poverty" AND "policy model" AND " conditional cash transfer" OR its abbreviation "CCT".
A total of 10 relevant article metadata records were yielded.
A ProQuest The same search string was used, with filtering applied for scholarly journals focused on topics such as poverty, empowerment, rural poverty, and social Articles were also filtered by journal sources such as Social Indicators Research and International Journal of Social Economics.
This search yielded 84 initial metadata records.
A ScienceDirect Filters included a publication year range of 2020 to 2025, the subject area of social sciences, and journal titles such as World Development.
World Development Perspectives, and Journal of Development Economics.
Only research articles were included, resulting in 66 metadata entries.
A Springer Nature Link The search was limited to research articles in English, published between 2020 and 2025, covering topics in social inequality, welfare, development policy, and rural sociology.
Only open-access articles were selected.
total of 168 article metadata records were The 328 metadata from the four databases were merged using the Parsif.
al platform, followed by the removal of duplicates.
total of 268 metadata records were exported to Microsoft Excel for further screening.
The filtering process was based on the following A Publication year .
0Ae2.
A Relevance of core keywords such as "poverty".
A Thematic alignment with social policy and poverty alleviation.
The analysis was done in three steps.
First, to identify all essential articles, four databases (Scopus.
ProQuest.
ScienceDirect, and Springer Nature Lin.
were initially searched using a mix of relevance, thematic consistency, and methodological quality.
Sources were also organised in Mendeley to cite and manage the bibliography.
Second, unsupervised machine learning in Python was used to cluster these studies into 10 thematic groups and to code them to identify convergent results and refute evidence qualitatively.
Third, the outcomes were projected on four aspects of the GEAR model.
The mapping was not done solely to provide supporting evidence, but Figure 3.
PRISMA Flow Diagram of the ILR Process Source: Author search results from Scopus.
ProQuest.
ScienceDirect, and Springer Nature Link .
0Ae2.
Jurnal Ilmu Sosial dan Ilmu Politik.
Volume 29.
Issue 3.
March 2026 rather to investigate tensions and limitations, including cases in which empirical results either contradict or partially substantiate GEAR.
This measure prevents bias in confirmation and critical evaluation.
The authors then grouped the metadata for the 112 articles by topic.
classify articles into 10 main topics, the authors used a Python-based unsupervised machine learning approach reinforced with GLM (General Language Mode.
-Experimental.
The results are shown in the table below:
Informed by the ILR approach, this study uses counterfactual reasoning not for empirical estimation, but as a tool for abstraction of the internal coherence test.
After mapping and synchronising secondary evidence in ten thematic areas, hypothetical tests of exclusion are conducted on the four constitutive dimensions of the GEAR framework: Growth.
Empowerment.
Adaptability, and Rationality.
These counterfactual thought experiments determine how well the identified patterns of explanation might be expected to persist, weaken, or invert in the absence of each component, thus characterising the boundary conditions of the framework itself.
This is not the first application of counterfactuals to methodological considerations of causal inference in social research, where conceptual counterfactuals can play a generative role in theory formation without purporting to estimate any effects (Levy, 2015.
Morgan & Winship, 2.
Results Research Topic Synthesis Understanding recurring research patterns is key to developing effective poverty policies, given the multidimensional and situational character of poverty.
Systematic mapping and synthesis facilitate the identification of consistent results across settings, indicating that frameworks such as the GEAR model are based on empirical data.
The resulting synthesis table provides a structural foundation for reviewing the poverty policy and reconciling the earlier strategies with the GEAR model.
The synthesis table is organised based on two fundamental dimensions identified through the ILR process: similarities in topic focus and the concordance of major findings in different sets of studies related to poverty.
This classification offers a systematic overview of the available literature, enabling researchers to trace thematic lines and evaluate the effectiveness of various intervention strategies.
Certain topic groups (Governance and Political Factors and Climate Change.
Environmental Figure 4.
Metadata Grouped into Topic Groups (Number.
(TGN)1 Source: Unsupervised clustering of 112 articles using Python (K-Mean.
and manual labelling by author A complete tabulation of the ILR research topics can be found in Appendix 2.
Wimmy Haliim : The GEAR Model and Social Policy on Poverty: An Analytical Integrative Literature Review Table 1.
Literature Review Synthesis Based on Key Insight Summaries TGN Key Insight Summary Corruption worsens poverty.
good governance boosts effectiveness.
Remittances reduce poverty.
global initiatives vary by region.
Mixed outcomes.
conditional cash transfers (CCT.
improve resilience.
corporate role growing.
Innovations increase income.
disparities remain.
Climate harms food/health.
green policies risk energy poverty.
Women/refugees at higher risk.
social networks empower.
Tech reduces poverty, risks exclusion.
exports and remittances help.
Poor health outcomes are tied to poverty.
education boosts gross domestic product (GDP).
Deprivations span beyond income.
systemic traps exist.
Financial access improves, but cohesion and impact vary.
Source: Synthesised by author based on literature clustered via Python-based unsupervised learning, reviewed qualitatively per TGN Figure 5.
Literature Review Synthesis Mind Map Source: Mind map of literature review processing and synthesis results via Whimsical Factors and Climate Chang.
emphasise the idea that poverty is entangled with structural problems and exogenous shocks, including institutional frailty and climate-related risks (Cadena-Palacios et al.
, 2024.
Han & Gao, 2024.
Kou & Yasin, 2024.
Nerfa et al.
, 2.
Other topics .
ncluding Poverty Policies and Cash Transfers.
Technology and the Private Secto.
discuss the role of government intervention, digital finance, and market-based mechanisms in improving the welfare and economic inclusion (Heinrich & Knowles, 2020.
Lan et , 2024.
Liang et al.
, 2024.
Malm & Toyama.
The differences by topic groups indicate that poverty alleviation is a complex endeavour requiring concerted efforts across policy levels and sectors.
Based on these research topics, the significance of implementation context and policy design is vital, especially where interventions operate within complex social and institutional environments.
For example, cash transfer programmes, whether conditional or not, can improve income, health, or education outcomes, yet are often affected by administrative capacity, labour market conditions, and inflationary pressures (Farjana et al.
, 2023.
Millar et al.
, 2.
On the same note, technology-based solutions can expand access to services and networks, but they require Jurnal Ilmu Sosial dan Ilmu Politik.
Volume 29.
Issue 3.
March 2026 adequate infrastructure and digital literacy to ensure equitable results.
These lessons bring up the importance of governance, with a focus on mechanisms and adaptive frameworks in defining policy success (Kamble et al.
, 2.
The systematic mapping of social policy research on poverty identifies gaps, strengths, and patterns that align the GEAR model in line with the empirical findings.
In addition to tabular presentation, visual representations such as a mind map could reveal the thematic relationships, cross-cutting issues, and changing clusters that might not be apparent in a textual summary.
The following mind map can be considered as a conceptual guide to read the greater workings of the literature, with the visualisation given greater detail in the next section.
The mind map for this research provides a graphical summary of important themes and topic groups emerging from the synthesis of the integrative literature review.
It classifies a broad range of studies into intertwined branches covering the most researched areas of poverty research, including governance, international development, poverty policies, gender, climate change, technology, and multidimensional This visual representation allows readers to grasp the literature's general outline more easily and holistically than traditional tabular formats permit.
The mind map allows every branch to represent the general thematic category and shows the definite subtopics and their The Technological and Innovation branch includes digital finance, mobilebased interventions to address poverty, and the economic impact of tourism, while the Gender and Vulnerable Groups branch covers topics such as the effects of social networks, care for the elderly, and the vulnerability of refugees (Gui & Zhong, 2024.
Jones, 2.
The physical adjacency of branches, for example, between education and health or between environmental stressors and poverty traps, reveals conceptual overlaps and recurrent cooccurrences in the literature.
Besides thematic organisation, the mind map also has a diagnostic role in displaying the focal points of scholarly interests where the research is well-established, as well as areas that have received less attention, pointing to possible gaps to be filled by further research.
For example, relationships between cash transfer programmes and social protection strategies represent well-established areas of research, and the insufficient connections between environmental policy and community-level adaptation initiatives represent unexplored intersections (Hameed et al.
, 2.
This visualisation supports both retrospective synthesis and prospective research planning.
The mind map increases the interpretability of the literature review by integrating views on poverty throughout scholarship, which enables reading the data at multiple levels, allowing users to recognise trends and detailed It is a descriptive instrument and analytical framework that reflects complexity and multidimensionality as significant characteristics of poverty research across all Discussion Topic Selection Process Based on Perception As this study is based on existing literature, it is necessary to reiterate that the trends and understandings produced herein represent thought synthesis rather than causal hypotheses to be tested.
Building upon the conceptual clarity offered by the mind map, the next step in the analysis is a more critical examination of the substantive content within each thematic cluster.
Although the mind map provides a macro-level perspective on the positioning of poverty-related topics in the academic landscape, detailed analysis is needed to examine the strategic implications and practical value of each topic.
This entails what the literature discusses and also how Wimmy Haliim : The GEAR Model and Social Policy on Poverty: An Analytical Integrative Literature Review various interventions are assessed for their effectiveness or ineffectiveness in addressing The discussion proceeds by classifying each research topic based on prevailing influencing factors and the observed effects on poverty alleviation.
This categorisation facilitates a more organised comparison between topics that help overcome poverty and those that reveal chronic issues or unintended With these distinctions, the study lays the groundwork for a thorough appraisal of how theoretical knowledge and empirical data can be used to develop better and more contextually relevant policy frameworks.
To understand how various poverty research themes interact with real-world policy impacts, it is essential to categorise them based on influence.
While previous sections have mapped the thematic landscape and visualised interconnections, a more targeted classification is needed to differentiate between interventions that tend to support poverty alleviation and those that present persistent obstacles or systemic limitations.
Table 2 sorts the identified research topics according to key influencing factors and their perceived This categorisation sets the stage for a strategic interpretation of how different policy approaches have performed across contexts.
Table 2 critically categorises research topics related to poverty according to their perceived effect on poverty alleviation efforts, either negative or positive.
This descriptive classification shows how various fields of research are positioned in the literature regarding their efficiency, relevance, and ability to reduce poverty.
The table arranges these issues in the order of perception and explains the appraisal positions of previous research.
Table 2.
Research Topics Based on Positive and Negative Perceptions Perception: Positive (TGN) Key Factors Explanation .
Remittances, foreign aid, global initiatives .
Remittances directly improve household income.
BRI.
Belt and Road Initiativ.
cooperation can support development, though the impact varies by region .
Conditional/unconditional cash transfers.
Well-designed policies .
CCT.
improve resilience.
relocation programmes, welfare-to-work, corporate corporate involvement can yield dual social and economic .
Agricultural innovations, rural infrastructure.
These boost productivity and income.
inclusive design is support for farmers essential to address regional and gender disparities .
Community support, social networks, solidarity Networks enhance access to services and opportunities for vulnerable groups like women, the elderly, and refugees .
Mobile phones, digital finance, tourism, private Technology and market linkages reduce poverty.
caution is sector growth needed to avoid digital exclusion and rising inequality from .
Access to education and healthcare, health Education drives long-term economic gains.
poor health maintains poverty traps.
access to basic services is vital .
Microfinance institutions (MFI.
Self-Help Financial access empowers small enterprises and households Groups (SHG.
, and financial inclusion strategies and reduces spatial and multidimensional poverty Perception: Negative Key Factors Explanation .
Corruption, weak governance, and lack of Corruption siphons resources, weakens institutions, and undermines programme effectiveness in alleviating poverty .
Climate shocks, food insecurity, health Climate risks directly threaten food, health, and energy vulnerability, energy transition risks poor communities bear the brunt of green transitions .
Socio-ecological traps, layered deprivations Poverty is rooted in multiple overlapping disadvantages.
ealth, education, spiritua.
, complex feedback requires systemic, multi-level responses beyond economic Source: Topics sorted according to perception based on metadata Jurnal Ilmu Sosial dan Ilmu Politik.
Volume 29.
Issue 3.
March 2026 providing a more tactical perspective on the interventions commonly perceived as beneficial and those that raise significant concerns or unwanted side effects.
The clustering of the positively perceived issues, such as CCTs, rural agricultural innovation, international remittances, digital technology, and community-based empowerment, proves a reliable correspondence to the outcomes that contribute to enhancing income security and resilience (Nawaz et al.
Ofure et al.
, 2024.
Schultz et al.
, 2024.
Sun et al.
, 2.
These topics are more likely to focus on the agency, involvement, and structurally supportive systems that enable individuals to progress beyond subsistence.
Notably, they are also supported by empirical research in various settings, confirming their potential to create long-term socioeconomic mobility, provided they are adequately designed and executed.
On the contrary, negative perceptions, such as poor governance, institutional corruption, climate vulnerability, and multidimensional poverty traps, show structural and systemic barriers that persist in reducing poverty.
Studies have identified failure of governance and corruption as problems that are not just purely administrative but also highly institutionalised within the political-institutional processes, which pervert resource redistribution and undermine trust in systems of authority.
For instance.
Haliim and Muhammad .
highlight how the politicised allocation of aid degrades the validity and effectiveness of major social assistance programmes in Indonesia.
Climate vulnerability also intensifies existing deprivation and exposes institutional unpreparedness.
there is a reciprocal relationship between food insecurity and health burdens in the context of climate stressors, as shown by Kitole et al.
, who argue that existing social protection systems are responsive to environmental shocks rather than preventive in nature.
Structural exclusion in health and ageing systems is known to deepen multidimensional poverty traps, as discussed by Dong et al.
As deprivations are intergenerational, not singular instances, they have to be countered by multi-sectoral interventions beyond economic The connection between education, health, and spatial inequality contributes to the reinforcement of the cycle of poverty.
yAlvarezGamboa et al.
's geographical analysis of Ecuador suggests the presence of cumulative disadvantages caused by insufficient financial inclusion and low access to services that cannot be quantified by income indexes alone.
Even well-constructed poverty interventions may not scale when there is fragmented governance.
Kou and Yasin .
accentuate the inability of weak inter-ministerial coordination and politicisation of development programmes to enhance sustainability, especially in politically unstable or decentralised settings.
A conceptual filter for assessing and comparing policies aimed at poverty reduction in terms of perceived effectiveness is shown in Table 3.
It summarises the literature to help inform future decision-making, serving as a basis for creating specific strategies that prioritise what is working.
It also identifies structural bottlenecks by breaking the analysis into enabling and constraining themes.
After identifying the perceived effectiveness of different poverty-related research themes, the next step is to transition the classification to the application.
It is valuable to know what is perceived as constructive or problematic, but it is not enough on its own.
Other important aspects are the strategic implications that can be drawn from these findings and how individual themes can be translated into practical implications for policymakers, practitioners, and researchers.
For literature to inform practice, thematic findings must be condensed into specific policy reform/programme design directions.
Table 3 condenses policy-relevant knowledge obtained through literature into a series of strategic suggestions.
It describes how Wimmy Haliim : The GEAR Model and Social Policy on Poverty: An Analytical Integrative Literature Review positively perceived issues can be scaled or modified in the context, or what reforms could be introduced to the negatively perceived This advancement from perception to implication deepens the analysis by framing each topic not only by its effects but also by the actions it necessitates.
In this respect, the table conceptually links the evaluative research results with normative directives for improving poverty alleviation initiatives.
Table 3.
Strategic Implications of Positively Perceived Poverty Research Topics Strategic Implications (TGN) | Perception: Positive Enhance remittance access and consolidate international collaboration as mechanisms for reducing poverty.
Create inclusive, evidence-based policies.
corporate social responsibility (CSR) consistent with business strategies to create long-term social and economic impact.
Invest in infrastructure, innovation, and training.
implement interventions to meet regional .
specially rura.
and gender inequalities.
Increase community-based and social capital.
platforms to empower women and other marginalised .
Expand digital infrastructure and literacy.
inclusive access to prevent digital exclusion and .
Emphasise long-term investment in basic services.
promote cross-sectoral integration between health, education, and social protection systems.
Enhance regulatory facilitation and access to capital for Microfinance Institutions (MFI.
and cooperatives.
extend financial inclusion to the poorest.
Strategic Implications (TGN) | Perception: Negative Enhance budget transparency, strengthen public governance, and empower oversight institutions to ensure effective and corruption-free policies.
Prioritise community-based climate adaptation and provide transitional energy subsidies to cushion impoverished groups against additional costs.
Implement cross-sectoral and multi-level poverty use poverty indices beyond income to include health, education, and well-being.
Source: Author analysis based on research topics, sorted according to perception The significant role of Table 3 is its connection between theoretical knowledge and practical policy implementation, as it identifies the strategies implied by each of the analysed topics in the literature.
Whereas Table 3 classifies topics according to their perceived influence on poverty.
Table 4, in the upcoming section, further describes necessary responses to these This turns evaluative knowledge into the path of reform, encouraging stakeholders to acknowledge which themes are working or problematic and prompting them to consider how policy can either reinforce or correct them.
Table 4 highlights scaling successful models by investing in infrastructure, institutional support, and the creation of inclusive programmes in subjects that are viewed as positive, such as community-based empowerment, agricultural innovation, and digital inclusion ( Jeyacheya & Hampton.
Klonner & Oldiges, 2022.
Xaba & Jili.
There are areas proven to be empirically effective but need further policy investment to maintain their impacts.
For example, expanding access to microfinance or computer services should be paired with advancements in financial literacy and network accessibility for equitable opportunities (Cepaluni & Driscoll.
Table 3, hence, reiterates the need to entrench supportive ecosystems around already promising interventions.
For issues perceived negatively, such as governance failure, fragmented policy responses, and climate change impacts, the table reveals the compelling necessity for structural reform (Lyons-White et al.
, 2025.
Vestergaard et al.
, 2.
It recommends integration of policies across sectors, greater regulatory oversight, and the creation of more inclusive measures that indicate multidimensional These strategic suggestions recognise that technical solutions cannot work where systems of exclusion are being supported by core systems.
In this respect, the table facilitates the transformation of symptomatic procedures into more systemic and preventive Table 3 shows an important transition between theoretical knowledge and practical policymaking, as every theme is matched with Jurnal Ilmu Sosial dan Ilmu Politik.
Volume 29.
Issue 3.
March 2026 strategic and context-specific suggestions.
This association adds value to the literature review and facilitates evidence-based decisions.
Although Table 3 provides a collection of strategic insights based on the literature, the strategies must be assessed for consistency within a logical conceptual framework that can be used to achieve integrated policy responses.
Tools of policy that are fragmented, however empirically supported, may lack long-term impact if not situated within a coherent Thus, the remaining analysis in this paper focuses on how the various findings from the literature can be situated within an overarching model that accommodates complexity while also promoting coherence across policy areas.
The GEAR Model Synchronised with the Literature Review The applicability of the GEAR model is further justified by its alignment with the present development strategy of Indonesia.
For example, the 2020-2024 RPJMN acknowledges pillars of poverty reduction that reflect the GEAR components of Growth.
Empowerment.
Adaptability, and Rationality: empowerment, institutional capacity, and resilience (Bappenas.
Integrating GEAR with national systems could offer conceptual consistency and effective policy alignment.
By identifying the topics of poverty research from the literature and mapping them onto the GEAR components, the study can test the correspondence of the empirical findings with the theoretical constructs, as well as the model's policy implications and Table 4 matches each GEAR component with demonstrably effective and positively perceived themes in poverty This synchronisation tests the conceptual soundness of GEAR and its ability to synthesise and operationalise well-established strategies, forming an analytical framework to determine its applicability as a strategic anchor in the structuring of inclusive, adaptive, and evidence-based policies for poverty alleviation in Indonesia.
Table 4 is a critical analytical step to prove the theoretical aspect of the GEAR model by matching its four main components with the research themes proven effective in poverty This alignment demonstrates a conceptual fit between the model's dimensions and specific evidence-based practices, although the question of empirical verification for the pairs remains to be answered.
Examples include the Growth component, which relates to international remittances, education, and involvement of the private sector, all of which contribute directly to income generation and economic inclusion over the long term (Huang et al.
, 2023.
Madondo & Dhobha.
Wang et al.
, 2.
The mapping of these successful interventions into the GEAR framework confirms that the model is based on Table 4.
Synchronisation of the GEAR Model with Positively Perceived Topics GEAR Component & Alignment with Positive Topics (TGN) Growth .
, 7, .
Empowerment .
, 6, .
Adaptability .
, .
Rationality .
, 8Aineeds intersectoral governanc.
Explanation Focuses on building economic capacity through job training, engaging the private sector, and improving education quality.
Supports community strengthening, women's empowerment, and access to community Uses digital technology and data-driven policies for transparency and responsiveness.
Recommends governance reform, accountability, and the removal of political content from aid distribution.
Source: Author analysis.
results of the GEAR model with positively perceived research topics Wimmy Haliim : The GEAR Model and Social Policy on Poverty: An Analytical Integrative Literature Review a sound theoretical framework and empirically supported development strategies.
The Empowerment and Adaptability components correspond with communitybased strategies, digital innovation, and rural development strategies found in the literature (Arestis & Phelps, 2025.
Moses et al.
, 2024.
Noutchie, 2.
Empowerment resonates with themes of gender equity, cooperative enterprises, and local capacity-building in the literature, while Adaptability reflects the necessity of flexible, technology-enabled policy instruments that respond to dynamic social and economic contexts.
The integration of these themes into the GEAR framework suggests that the model can be flexible enough to embrace structural and contextual specifics, making it highly responsive to the dynamics of poverty reduction in practical contexts.
The Rationality component focuses on transparency, accountability, and datainformed governance to address systemic gaps revealed in the literature, especially in reforming the public sector and programme This correspondence shows the model's relevance as both a programme design guide and an institutional quality standard.
Table 4 indicates that the GEAR model can serve as a unifying framework for integrating disparate yet complementary strategies into a rational and practical methodology for social Having established the conceptual alignment of the GEAR model with empirically tested poverty reduction strategies, the next step is to assess its practical viability in the Indonesian context.
While theoretical coherence is essential, a policy model's true value is in its responsiveness to local institutional, political, economic, and social realities.
Our analysis, as shown in Figure 6, counters this by examining which GEAR component is most appropriate for each major contextual factor in Indonesia, providing a grounded analysis of the opportunities and limitations that would influence its implementation.
Figure 6 illustrates the conceptual and contextual viability of the GEAR model.
remains equally important to show how the framework can deliver specific solutions to the most urgent poverty-related issues in Indonesia.
In this respect, a visual representation is beneficial to illustrate the correlation between specific challenges and model elements.
The Figure 6.
Mind Map Analysis of the Suitability of the GEAR Model Implementation in Indonesia Source: Author analysis using Whimsical Jurnal Ilmu Sosial dan Ilmu Politik.
Volume 29.
Issue 3.
March 2026 Figure 7.
Flowchart of the GEAR ModelAos Strategic Response to Key Poverty Challenges in Indonesia Source: Author analysis based on the GEAR model and literature review metadata flow chart below summarises this interaction, mapping each key challenge to the GEAR element most appropriate to address it.
Figure 7 serves as a graphical guide for operationalising the GEAR model by connecting complex poverty issues to action plan policy areas.
Politicisation and corruption of social assistance are operationalised under Rationality through open governance, institutional responsibility, and depoliticised delivery that needs structural adjustments.
Inefficiencies in sectoral programmes are addressed under Growth and Empowerment through integrated, inclusive economic policies and community-based capacity creation.
Climate-induced poverty would be responded to through Adaptability and localised through flexibility and localisation strategies that necessitate operational adjustments.
The study evaluates the strategic validity and usefulness of the GEAR model in the broad context of poverty research.
Moving beyond debates of its conceptual consistency with positively perceived themes and its implementation prospects in Indonesia, it progresses to a global evaluation of how each GEAR component fits within the repertoire of themes discussed, irrespective of their perceived influence.
The integrative analysis then synthesises all results within a single framework, integrating every topic of poverty research with the most relevant GEAR elements and evaluating the strategic placement, implementation opportunities, and expected difficulties of the model.
This aims to surpass a mere equivalence of ideas to test the effectiveness of GEAR as an analytic instrument in a vast and complicated field.
this regard.
Table 5 serves as the final synthesis, integrating and unifying each aspect of poverty appropriately within the model and assessing its strategic placement.
The combination of Tables 4 and 5 demonstrates that the GEAR model is theoretically aligned and practically relevant across a wide range of poverty-related areas.
Whereas Table 4 focused on positively perceived interventions.
Table 5 extends this by mapping the model's relevance across all thematic clusters, including both implementation opportunities and contextual constraints.
The results indicate that issues such as financial inclusion, gender empowerment, and digital technology align well with the Empowerment and Adaptability components of GEAR.
The implementation potential in these areas is high, especially given Indonesia's growing digital infrastructure and the presence of active community-based organisations.
However, research areas on governance failures, multidimensional poverty, and climate vulnerability require GEAR to be applied Wimmy Haliim : The GEAR Model and Social Policy on Poverty: An Analytical Integrative Literature Review Table 5.
GEAR Model Mapping Across Poverty Research Topics GEAR Component.
Alignment with Indonesian Context Key Implementation Challenges Growth (TGN 2, 5, 7, 8, .
Strong .
ligns with economic empowerment.
Policy alignment, infrastructure gaps, innovation, digital momentum, education/ digital divide, funding consistency, oversight quality Empowerment (TGN 3, 4.
Strong .
its social safety nets, communityPoliticisation, fragmented delivery, 6, 9, .
driven approaches, gender programmes, patriarchal norms, underfunded initiatives, system fragmentation Adaptability (TGN 4, 5, .
Strong .
upports local responsiveness.
Limited community organising, low climate resilience, tech innovatio.
local capacity, sectoral silos Rationality (TGN .
Critical .
its anti-corruption agend.
Deep political resistance, institutional All Components (TGN .
Comprehensive .
ddresses Cross-sectoral integration required, multidimensional povert.
system fragmentation Source: Metadata analysis results with the potential application of the GEAR model critically, where all four elements should be integrated to achieve a sustainable impact.
Notably, as the table shows, some issues can be easily addressed with targeted interventions while others require systemic change and intersectoral coordination.
For example, the Rationality component, identified as a crucial factor in governance-related issues, necessitates institutional restructuring and political accountability.
Meanwhile, issues such as rural development and migration exhibit a moderate fit with the model and require contextual application.
The analysis shows that GEAR is not a blanket solution but an adaptable, scalable framework that can be tailored to the specific needs and limitations of any given policy area.
In an ILR approach, one interacts with counterfactuals as no primary data collection or causal identification is conducted in the research.
any absence-ofcomponent probe is only a conceptual test of robustness (Morgan & Winship, 2.
Based on the conceptual fit established by mapping and synchronising secondary evidence across the ten thematic domains, the analysis examines whether observed patterns would persist, weaken, or even reverse if Growth.
Empowerment.
Adaptability, or Rationality were omitted.
This exercise clarifies the boundary conditions and the explanatory coherence of the framework without purporting to estimate the effects, thus maintaining methodological rigour.
Subsequently, these counterfactual statements are formulated as theories and presented as propositions to be tested through future comparative case studies, programme pilots, or other quasi-experimental studies (Levy, 2.
This concluding synthesis demonstrates the pertinence of GEAR across a wide range of empirical fields and shows that the model can guide future poverty alleviation interventions in Indonesia and other countries.
Several policy implications arise from these findings.
The GEAR model can serve as a strategic guide for developing policy concepts related to poverty, with its functionality verified through pilot projects in districts with high poverty rates.
Incorporating GEAR into the current system, such as the RPJMN, could help ministries and sectors harmonise their actions through a systemic approach that addresses not only symptoms but also structural factors.
The process will require adaptive, community-based practices and approaches that incorporate digital tools with open The Rationality aspect will emphasise the need to foster cross-sectoral cooperation, establish control mechanisms, and ensure political responsibility.
At the same time.
Empowerment and Adaptability will require long-term investment in digital Jurnal Ilmu Sosial dan Ilmu Politik.
Volume 29.
Issue 3.
March 2026 infrastructure and human capacity to ensure that vulnerable populations are not locked out of new opportunities.
Combined, these inferences imply that GEAR is not very useful as a standalone programme.
it should serve as an integrative framework that integrates governance, empowerment, and adaptation to create a coherent set of poverty policies.
Future research should pursue empirical validation through case studies, policy experiments, and participatory evaluation to close the gap between the model's conceptual richness and operational reality.
Research Limitations Although this study represents a thorough literature review on poverty and provides a systematic conceptual examination of the GEAR model, it is subject to certain limitations.
First, the research is based primarily on secondary data obtained through an integrative literature While this approach enables extensive coverage and deeper conceptual mapping, it excludes field-based validation and direct programme appraisals, which could provide more context-specific information.
Second, the classification of perceived topics is based on interpretations of previous Despite a systematic analytical process, this may introduce a degree of Perceptions of effectiveness are inherently relative to setting, methodology, and policy context, and can therefore vary across different regions or political regimes.
Third, the alignment of the GEAR model with the literature findings is primarily conceptual.
The mapping reveals a strong theoretical alignment.
however, the model's practical implementation, particularly within diverse and decentralised governance frameworks like Indonesia's, requires further empirical validation.
Further studies are necessary to supplement this conceptual framework with case studies, pilot implementations, or mixed-method policy studies to improve its external validity.
This study admits that, though the ILR method allows for broad thematic synthesis and even theory building, it is, in essence, not fieldbased validated.
This is not its only limitation:
conceptually, but not empirically.
ILR seeks to bridge the gap between theory and practice, as noted by Torraco .
and Whittemore and Knafl .
Thus, future studies need to supplement the GEAR conceptual framework with qualitative case studies, pilot projects, or empirical experiments to guarantee their applicability to the real world.
The comparative and counterfactual conclusions in the present study are theoretical, based on an integrative literature review rather than primary data or experimental corroboration, and, as such, must be viewed as indicative rather than causal assertions.
To explore robustness and determine boundary conditions without exaggerating empirical confidence, we conduct counterfactual thought experiments by setting aside one GEAR component at a time and determining whether the patterns observed in thematically related problems would be robustly observed across contexts, toned down, or reversed.
They are probes to express falsifiable propositions to be pursued later, as well as to recognise the constraints of ILR-based synthesis until case studies, quasi-experiments, or field experimentation substantiate them.
Conclusion This study examines the intersection of conceptual policy modelling and empirical poverty research through an ILR approach.
mapping more than 100 research articles across 10 broad thematic areas, topics were classified based on perceived effectiveness, with strategic implications drawn for each category.
The synthesis of these findings was conducted in relation to the GEAR model, which includes Growth.
Empowerment.
Adaptability, and Rationality components, to evaluate its conceptual validity and feasibility for implementation in Indonesia's poverty policy environment.
Wimmy Haliim : The GEAR Model and Social Policy on Poverty: An Analytical Integrative Literature Review The analysis positions the GEAR model as a compelling systemic and multidimensional model that could, in theory, address poverty at multiple levels.
However, its actual impacts remain to be verified through empirical testing and contextual experiments, such as on governance failures, multidimensional deprivation, digital inequality, and climate It can be integrated across sectors and strategically focused, making it appropriate for various socioeconomic contexts in Indonesia.
The next round of research should pilot the GEAR model at the local level, empirically assess its practical viability, and refine it for broader usage in the future.
Acknowledgements The author wishes to extend special thanks to the Faculty of Social and Political Sciences (FISIP).
Universitas Brawijaya (UB), for providing academic advice and support, which significantly contributed to improving this manuscript.
In accordance with principles of transparency, the author discloses the following usage of artificial intelligence (AI) tools:
Language Refinement and Stylistic Enhancement: Grammarly was used to make the writing clear, coherent, and grammatically correct throughout.
This resource helped the author to write independently and improve the quality of the presentation without distorting significant arguments or analysis.
Conceptual Visualisation and Framework Development ChatGPT and Perplexity AI were used to create mind maps and visual representations of the GEAR model These tools helped organise and present the theoretical framework, and all visual results were checked and accepted by the author.
Methodological Support of Computations.
Python-based unsupervised machine learning (K-Means clustering with semantic embeddings using the MiniLM mode.
was used in the thematic categorisation process for the integrative literature review, involving text preprocessing, semantic embedding generation, dimensionality reduction, and keyword extraction of 112 articles across 10 thematic groups.
This method of calculation ensured the methodological repeatability and objectivity of the literature synthesis, as well as manual checking and cross-review by the author.
Bibliography and Source Organisation: The references and bibliography were organised in Mendeley to ensure accurate, consistent Scope of AI Assistance: Language refinement across all sections of the manuscript (Introduction.
Literature Review.
Analysis.
Discussion, and Conclusio.
of the GEAR conceptual framework.
computational thematic clustering of the Methods section and Appendix 1.
The essential intellectual work remains entirely and exclusively that of the author.
This includes the conceptual foundation, research questions, synthesis of theoretical frameworks, literature synthesis, critical analysis, logic of thematic categorisation, discussion, interpretation, findings, and recommendations.
The presentation of all AI applications complied with the journal's editorial policy, and there was no AI intervention in altering the substantive research content.
Instead, their use was limited to improving presentation and computational reproducibility.
The author takes full responsibility for the integrity and accuracy of the content.
References