Research Article |
Corresponding author: Ahmed Alwadeai ( vadi-edu@hotmail.com ) © 2025 Non-profit partnership “Voprosy Ekonomiki”.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits to copy and distribute the article for non-commercial purposes, provided that the article is not altered or modified and the original author and source are credited.
Citation:
Vlasova N, Alwadeai A (2025) The multifaceted impact of international sanctions on economic freedom: Empirical insights from a cross-national analysis. Russian Journal of Economics 11(1): 1-26. https://doi.org/10.32609/j.ruje.11.145396
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This study investigates the multifaceted relationship between international sanctions and economic freedom, treating it not simply as an economic construct but as a fundamental pillar of societal well-being. Drawing upon a panel dataset of 21 countries subjected to sanctions between 2002 and 2022, we analyze the impact of sanctions — both economic and non-economic — on overall and component-level economic freedom. Methodologically, we integrate Panel-Corrected Standard Errors, Feasible Generalized Least Squares, and Partial Least Squares Structural Equation Modeling, thereby addressing issues such as heteroskedasticity, autocorrelation, and the complexity of multiple interdependent relationships. Our findings reveal a consistent negative effect of sanctions on economic freedom, although the severity and channels of impact vary according to the nature and source of the sanctions, as well as the institutional and temporal contexts. Notably, sanctions imposed by the United Nations emerge as particularly constraining for property rights and monetary freedom, while trade and financial restrictions curtail investment and market openness. At the same time, sanctioned states demonstrate varying degrees of resilience, adapting policies and seeking alternative markets to mitigate sanctions. These outcomes underline the dual nature of sanctions as powerful tools of international diplomacy that can inadvertently undermine economic freedom. By illuminating these dynamics, our study offers insights for policymakers and scholars alike, emphasizing the importance of tailoring sanctions to limit harm to economic liberties while pursuing legitimate foreign policy objectives.
international sanctions, economic freedom, geopolitical risks.
Economic freedom — essential for fostering societal prosperity and growth — encompasses the right of individuals to pursue economic activities through personal choice, voluntary transactions, and market competition, all underpinned by protections for the individual and his or her property (
International sanctions — imposed by states or global institutions — represent a frequent tool of foreign policy aimed at enforcing international norms, deterring misconduct, and penalizing transgressions. These sanctions manifest in diverse forms, ranging from comprehensive trade barriers and embargoes to more narrowly defined measures such as arms bans or travel restrictions. In practice, they can profoundly influence economic freedom by restricting trade flows, undermining foreign direct investment, and triggering a variety of socio-economic challenges (
The relationship between economic freedom and sanctions is itself intricate: sanctions intended to promote security and normative behavior sometimes inadvertently erode economic freedoms in targeted nations. Notably, sanction-imposing states that view themselves as guardians of international norms can end up undermining those very values in sanctioned economies. For example, sanctions can compel governments to adopt inward-looking policies, expand public spending, or modify economic frameworks in ways that narrow market freedoms. Such paradoxical outcomes call for closer scrutiny of how sanctions affect economic freedom and raise questions about the complexities of leveraging economic sanctions as a diplomatic tool.
A case in point can be found in the recent surge of global sanctions — particularly those levied against Russia following its actions in Ukraine — where the United States, European Union, and other international players have instituted extensive restrictions on Russia’s economy, political circles, and key industrial sectors. These actions have had a pronounced effect on Russia’s economic freedom, constraining its access to global financial and investment channels. Simultaneously, Russia’s methods of adapting to these sanctions carry significant repercussions for both the global economy and the broader notion of economic freedom. This episode exemplifies the fine line between sanction-driven compliance with international norms and the broader principle of economic freedom, highlighting the necessity for deeper insights into sanctions’ effectiveness and wider implications in today’s interconnected world.
Given the prevalence of sanctions in international relations — especially in settings like the Russia–Ukraine conflict — understanding their effects on economic freedom is of paramount importance. This topic transcends economics, touching on ethical dimensions and shaping how states design and implement foreign policy. Recognizing this complexity, the present study aims to elucidate the multiple ways in which sanctions influence economic freedom, viewing it as not merely an economic construct but a fundamental human right. More specifically, our research uncovers how sanctions, as a lever of foreign policy, reverberate through a sanctioned nation’s economic, social, and legal infrastructure.
Methodologically, we employ a blend of panel-corrected standard errors (PCSE), feasible generalized least squares (FGLS), and partial least squares structural equation modeling (PLS-SEM). By combining these methods, we can tackle challenges like autocorrelation and heteroskedasticity, while simultaneously probing deeper, more complex interrelations among our variables. PCSE and FGLS bolster our statistical rigor, and PLS-SEM clarifies how sanctions reshape particular facets of economic freedom in nuanced ways.
The remainder of this paper is organized as follows. Section 2 reviews the literature on economic freedom and international sanctions, illustrating the progression of thought and empirical work. Section 3 details the data sources and methodological framework. Section 4 presents and interprets the empirical results, and Section 5 discusses these findings in light of wider policy and theoretical considerations. Finally, Section 6 concludes by underscoring key insights and offers policy-oriented recommendations.
Research on economic freedom and its determinants has garnered increasing academic interest over the last few decades. As a concept, economic freedom emphasizes a policy and institutional environment that supports individual choice, voluntary exchange, and open markets underpinned by secure private property rights. This literature review provides a comprehensive survey of the scholarship surrounding economic freedom and traces the emerging research on the intersection between economic freedom and international sanctions. Through a detailed examination of key empirical findings, conceptual frameworks, and methodological approaches, this section illustrates both the evolution of thought on economic freedom and the extent to which sanctions may influence economic liberties of targeted nations.
Scholarly interest in economic freedom has long centered on its potential to spur growth and development. Foundational studies by
Subsequent researchers expanded these lines of inquiry by testing the robustness of the economic freedom — growth relationship across different institutional contexts.
Contributions such as
Further refining these findings,
Foundational theoretical contributions from
Taken together, the evolution of this literature underscores several key points: (1) economic freedom is strongly associated with higher economic performance, (2) its individual components can impact growth and stability in varying ways, and (3) political governance and societal structures can serve as critical mediators of how economic freedom shapes developmental trajectories. These insights serve as the foundation upon which scholarly attention has turned to the consequences of external constraints — namely, international sanctions — on a nation’s economic freedom.
Sanctions are often wielded as instruments of foreign policy, employed to penalize or coerce states into policy changes without resorting to military force. Given that they can disrupt international trade flows, financial systems, and domestic economies, they necessarily intersect with questions of economic freedom. Scholars like
Beyond their macroeconomic implications, sanctions pose significant social and ethical dilemmas.
Societal perception of sanctions, and moral judgments surrounding them, also feature prominently in the literature.
Amid this broad conversation, the intersection of sanctions and economic freedom emerges as a critical focal point. Sanctions by their nature inhibit trade, investment, and sometimes even basic financial transactions, each of which is a cornerstone of economic freedom. As early as
The European Union’s implementation of sanctions on Russia, alongside Russia’s retaliatory measures, exemplifies how sanctions can provoke deeper state intervention in markets (
Empirical investigations buttress these qualitative assessments.
To articulate how sanctions might undermine economic freedom, researchers draw on theoretical and empirical foundations spanning strategic studies, economics, and international relations.
Recent studies underscore that a country’s initial conditions — including its foreign exchange reserves, trade alliances, and institutional strength — can moderate or intensify the deleterious effects of sanctions.
The tangible effect of sanctions on trade — the free movement of goods and services — stands out as a direct blow to economic freedom.
Hypothesis 1: International sanctions exert a negative influence on the dimensions of economic freedom.
However, the complexity deepens further when accounting for the varied nature and sources of sanctions.
Hypothesis 2: The degree to which economic freedom is affected by sanctions is contingent upon the specific type and source of the sanctions imposed.
Finally, the ramifications of sanctions on the various dimensions of economic freedom — trade, finance, property rights, labor, and business — are not distributed uniformly.
Hypothesis 3: Sanctions disproportionately affect distinct components of economic freedom.
In sum, current scholarship attests to an increasingly evident intersection between international sanctions and key facets of economic freedom. Yet notable gaps persist, particularly with regard to unpacking the distinct roles played by economic vs. non-economic sanctions, as well as unilateral vs. multilateral enforcement. There is also a need for more detailed examinations of how institutions alleviate or exacerbate the negative consequences of sanctions. Against this backdrop, the present study endeavors to address these research gaps through a multifaceted analytical lens that incorporates PCSE, FGLS, and PLS-SEM. Such an approach is intended to capture both the complexity and the granularity of how sanctions shape economic freedom.
This study contributes to the broader field of international economics and political economy in several meaningful ways. First, it expands the empirical understanding of sanctions by distinguishing between economic and non-economic sanctions and probing the varying impacts of different sanctioning entities, whether they be the United Nations, regional blocs, or individual states. Second, it employs a meticulous empirical approach, uniting three econometric and modeling methods (PCSE, FGLS, and PLS-SEM) to ensure analytical rigor and multifaceted insights. This integrated methodology is well-suited to disentangle the interplay of sanctions on multiple dimensions of economic freedom while controlling for potential statistical pitfalls like autocorrelation and heteroskedasticity.
Moreover, from a policy perspective, this inquiry highlights the significance of finely calibrated sanctions that minimize unintended harm to the civilian population and the economic environment in the targeted country. Although sanctions serve as a preferred tool for achieving foreign policy objectives, evidence increasingly shows that their direct and indirect effects on fundamental economic liberties can be profound. As such, recognizing how sanctions reshape the institutional and regulatory landscape of targeted countries is crucial for policymakers tasked with balancing international security aims and domestic economic welfare concerns.
Finally, this research also addresses the call for a more harmonized theoretical viewpoint that connects strategic objectives with the broad socio-economic consequences of sanctions. By building on seminal works by
In conclusion, the scholarship surrounding economic freedom consistently underscores its importance for growth, institutional quality, and overall social development. Meanwhile, studies on sanctions reveal that these external pressures — though strategically employed to achieve certain diplomatic outcomes — carry significant consequences for the economic freedoms of targeted states. By synthesizing these two literatures, one discerns that sanctions can, perhaps inadvertently, curtail precisely the sort of open and competitive market structures that underpin stable, flourishing economies. This tension highlights the complexity of economic statecraft and points to unresolved questions about how best to design sanctions in ways that minimize harm to the most vulnerable populations and preserve essential economic liberties.
Positioned at the nexus of these debates, this study situates itself as an effort to bridge a critical gap: it dissects how the nature, origin, and design of sanctions influences different dimensions of economic freedom, proposing a nuanced view that not all sanctions are equally damaging, nor do they uniformly affect trade freedom, investment freedom, or property rights. The forthcoming empirical analysis evaluates these dynamics systematically, guided by the three hypotheses introduced above. Through this approach, the study aims to inform not only academic discourses but also practical policymaking in international economics and diplomacy.
To investigate how international sanctions influence economic freedom, we assemble a panel dataset of 21 countries subjected to sanctions between 2002 and 2022. These countries are: Afghanistan, Belarus, Cambodia, the Central African Republic, China, Congo (Dem. Rep.), Guinea, Indonesia, Iran (Islamic Rep.), Iraq, Lebanon, Libya, Mali, Myanmar, Nigeria, Pakistan, Russia, Sudan, Syria, Ukraine, and Yemen (Rep.). The chosen interval captures a notable escalation in sanctions usage over the past two decades.
We draw upon multiple reputable data sources for this study. First, information on sanctions is extracted from the Global Sanctions Database
To assess the effect of international sanctions on economic freedom, we adopt a two-stage framework anchored in conventional growth-model specifications. Our empirical model is encapsulated in equation (1):
Economic_ freedomit = αi + β1 Sanctionsit + ∑j γj Xjit + ϵit. (1)
This model evaluates the effect of sanctions variables on economic freedom overall index, where Economic_ freedomit represents the economic freedom of country i, where i = 1, 2, ..., 21 and in time t, where t = 2002, 2003, …, 2022; β1 denotes the coefficient of the sanctions variables Sanctionsit; Xjit correspond to a set of independent control variables; αi is the country-specific intercept; γj — coefficients for independent explanatory variables; ϵit is an error term.
Our study focuses on the Economic Freedom Index as the primary dependent variable, which quantifies economic autonomy across various sectors on a 0 to 100 scale, where higher scores represent greater economic freedom. This index encompasses multiple components that illustrate the nuances of economic autonomy and regulatory efficiency, influenced by governmental policies. The Monetary Freedom Index is derived from the weighted average inflation rate over the most recent three years and price controls, highlighting price stability and minimal microeconomic interventions. The formula for this is given by equations (2)–(3).
, (2)
Weighted Avg. Inflationi = Θ1 Inflationit + Θ2 Inflationit –1 + Θ3 Inflationit –2. (3)
Fiscal Freedom assesses the tax burden, including individual and corporate income taxes and the total tax share of GDP. Investment Freedom evaluates investment restrictions such as bureaucracy, land ownership limits, and foreign exchange controls. Points are deducted from 100 for each restriction identified. Business Freedom measures the ease of starting, operating, and closing a business using 10 distinct indicators. Financial Freedom reviews government regulation of financial services, state intervention in financial institutions, and market development. Higher values indicate greater banking efficiency and independence. Trade Freedom analyzes trade policies, especially tariff rates and non-tariff barriers. The Labor Freedom Index incorporates six factors related to employment regulations, influenced by data from the World Bank’s Doing Business study. In constructing the labor freedom score, the first seven of the nine sub-factors are converted to a scale of 0 to 100 based on equation 4.
Sub-factor Scorei = 50 × (Sub-factoraverage / Sub-factori). (4)
Property Rights gauges the enforcement of laws protecting private property. Corruption Freedom, based on Transparency International’s Corruption Perceptions Index, reflects public sector corruption levels. Each component of the Economic Freedom Index provides detailed insights into the various aspects of economic freedom, offering a comprehensive view of how international sanctions influence economic policies and practices across different countries.
Our main explanatory variables are centered on the sanctions’ variables. Our study utilizes data from various sources, including the Global Sanctions Database (GSDB;
Sanctions_Index = ∑(Eco-Sanctions) + ∑(Non-eco-Sanctions). (5)
Here, Eco-Sanctions comprise trade-export, trade-import, and financial sanctions. Meanwhile, Non-eco-Sanctions include sanctions related to arms, military, travel bans, and other categories. The specific calculations for each of these components are further broken down in equations (6)–(7).
Eco-Sanctions = ∑(trade-export) + ∑(trade-import) + ∑(financial), (6)
Non-eco-sanctions = ∑(arms) + ∑(military) + ∑(travel) + ∑(other). (7)
Additionally, we consider sanctions imposed by the United States (USA), the European Union (EU), and the United Nations (UN) in these indices. This comprehensive approach facilitates a detailed analysis of the impact and scope of international sanctions.
Following the established literature and previous research, control variables play a crucial role in the study of economic freedom indices as they help account for factors that might influence both the imposition of sanctions and economic freedoms. For this research proposal, we have selected five key control variables: Trade/GDP, GDP per capita, Inflation, Current account balance, and foreign direct investment (FDI). Trade/GDP, or trade as a percentage of GDP, measures a country’s reliance on trade for its domestic productivity and how this influences its vulnerability and response to sanctions, as discussed by
Before applying our main estimations, we conduct augmented Dickey–Fuller (ADF) tests to verify stationarity and employ Durbin–Watson statistics to detect autocorrelation. Evidence of positive autocorrelation, derived from the Durbin–Watson tests, necessitates using PCSE to address heteroskedasticity and potential cross-sectional dependencies. As an additional safeguard, we also deploy FGLS to confirm the robustness of our findings. Given that sanctions and economic freedom can evolve in response to broader global shifts, we complement our main analysis with a comparative temporal approach, splitting the data into two sub-periods: 2002–2012 and 2012–2022. We include 2012 in both sub-periods to capture its pivotal role in sanctions policy while maintaining data continuity. As
To address the intricacies of our study — especially given the challenges posed by small sample sizes, the accommodation of non-normal data distributions, and the identification of outliers — we employ PLS-SEM. The adoption of PLS-SEM is deliberate, executed 5,000 times to ensure robustness and to enhance the reliability of our findings. This method leverages its capacity to elucidate complex relationships among multiple variables. The fixed seed in random number generation guarantees reproducibility, ensuring that our model’s precision and depth in capturing the multifaceted dynamics between international sanctions and components of economic freedom are maintained with consistency. This methodological framework, combining PCSE and FGLS with PLS-SEM, is meticulously designed to tackle the complexities of analyzing the effects of international sanctions on economic freedom. This harmonized approach not only solidifies the integrity of our econometric evaluation but also enriches our exploration of sanctions’ impact, illuminating the nuanced interplay between international policy measures and economic autonomy.
Our investigation starts with a correlation analysis (Appendix
To ensure the suitability of our data for time-series analyses, we conduct augmented Dickey–Fuller (ADF) tests, confirming that the variables exhibit stationarity (Appendix
We supplement the PCSE and FGLS estimations with PLS-SEM to analyze the impact of sanctions on the specific components of economic freedom. PLS‑SEM’s flexibility makes it well-suited to the challenges of smaller sample sizes, non-normal data distributions, and possible outliers. Its ability to illuminate complex interrelations among variables is especially valuable given the multifaceted nature of sanctions’ effects on trade, financial systems, investment climates, and other elements of economic freedom.
Table
Impact of international sanctions on economic freedom and comparative temporal analysis, 2002–2022.
Variable | PCSEs | FGLS | PCSEs: Comparative temporal analysis | |
Panel A: 2002–2012 | Panel B: 2012–2022 | |||
Sanctions_Index | –0.0773*** (0.03) |
–0.0768*** (0.02) |
–0.175*** (0.06) |
–0.0903*** (0.03) |
Eco_sanctions | –0.105** (0.04) |
–0.105*** (0.04) |
–0.265*** (0.10) |
–0.119** (0.05) |
Non_eco_sanctions | –0.202*** (0.07) |
–0.200*** (0.05) |
–0.339*** (0.12) |
–0.260*** (0.08) |
Economic sanctions | ||||
Trade_export | –0.337*** (0.12) |
–0.335*** (0.10) |
–0.731*** (0.28) |
–0.332*** (0.12) |
Trade_import | –0.307** (0.14) |
–0.308** (0.13) |
–0.962*** (0.37) |
–0.327** (0.15) |
Financial | –0.225** (0.10) |
–0.225*** (0.08) |
–0.454** (0.18) |
–0.314** (0.13) |
Source of sanctions | ||||
USA | –0.484*** (0.17) |
–0.483*** (0.16) |
–0.621*** (0.22) |
–0.540** (0.24) |
EU | –0.822*** (0.31) |
–0.812*** (0.26) |
–1.454** (0.65) |
–1.197*** (0.37) |
UN | –1.788*** (0.41) |
–1.781*** (0.33) |
–1.693** (0.67) |
–2.117*** (0.38) |
Breaking the data down by the nature and source of sanctions reinforces these findings. Trade-related sanctions — encompassing both export and import restrictions — are strongly associated with declines in economic freedom (coefficients from –0.307 to –0.337). Similarly, financial sanctions reduce economic freedom, as evidenced by highly significant negative coefficients (–0.225 to –0.225). UN sanctions register the steepest negative effect (–1.788), while EU-imposed sanctions (–0.822) and US-imposed sanctions (–0.484) also exhibit robust, negative relationships with economic freedom.
The third and fourth columns of Table
Interestingly, the origin of the sanctions also matters across time. Whereas USA and EU sanctions exhibit a tapering negative effect, UN sanctions intensify over the two periods, with coefficients rising from –1.693 to –2.117. This notable increase points to evolving geopolitical factors and highlights the dynamic ways in which international measures reshape global economic freedoms.
Overall, the comparative temporal analysis underscores a consistent adverse effect on economic freedom while showing that sanctioned economies can partially adapt over time. Nonetheless, the persistent magnitude of these negative coefficients illustrates the sustained influence of sanctions on policy environments and market functioning.
Table
Dissecting the impact of sanctions on economic freedom dimensions: A PLS-SEM approach
Variable | Trade_ freedom |
Property_ rights |
Monetary_ freedom |
Labor_ freedom |
Investment_ freedom |
Fiscal_ freedom |
Financial_ freedom |
Corruption_ freedom |
Business_ freedom |
Sanctions_Index | 0.122*** | –0.161*** | –0.225*** | –0.143*** | –0.344*** | 0.186*** | –0.372*** | –0.052 | 0.020 |
(0.047) | (0.058) | (0.05) | (0.049) | (0.047) | (0.042) | (0.043) | (0.047) | (0.054) | |
Eco_sanctions | 0.120** | –0.088 | –0.223*** | –0.171*** | –0.356*** | 0.186*** | –0.298*** | –0.019 | 0.053 |
(0.045) | (0.059) | (0.054) | (0.049) | (0.047) | (0.041) | (0.042) | (0.045) | (0.054) | |
Non_Eco_sanctions | 0.140*** | –0.234*** | –0.196*** | –0.086* | –0.280*** | 0.161*** | –0.416*** | –0.089* | –0.026 |
(0.042) | (0.053) | (0.044) | (0.050) | (0.048) | (0.044) | (0.041) | (0.048) | (0.051) | |
Economic Sanctions | |||||||||
Trade_export | 0.052 | –0.123** | –0.211*** | –0.16*** | –0.357*** | 0.124*** | –0.269*** | –0.019 | 0.066 |
(0.054) | (0.06) | (0.055) | (0.043) | (0.046) | (0.044) | (0.04) | (0.042) | (0.048) | |
Trade_import | 0.092* | 0.019 | –0.183*** | –0.18*** | –0.286*** | 0.147*** | –0.221*** | 0.076* | 0.098* |
(0.051) | (0.063) | (0.055) | (0.051) | (0.049) | (0.042) | (0.044) | (0.043) | (0.057) | |
Financial | 0.115*** | –0.115** | –0.228*** | –0.153*** | –0.351*** | 0.229*** | –0.327*** | –0.072 | 0.011 |
(0.045) | (0.053) | (0.049) | (0.050) | (0.043) | (0.040) | (0.039) | (0.048) | (0.055) | |
Source of Sanctions | |||||||||
USA | 0.008 | –0.036 | –0.205*** | –0.202*** | –0.367*** | 0.113** | –0.242*** | –0.139*** | –0.210*** |
(0.041) | (0.053) | (0.041) | (0.058) | (0.030) | (0.052) | (0.034) | (0.051) | (0.059) | |
EU | 0.083 | –0.178*** | –0.199*** | 0.024 | –0.249*** | 0.101** | –0.271*** | 0.017 | 0.067 |
(0.052) | (0.054) | (0.042) | (0.043) | (0.045) | (0.050) | (0.042) | (0.047) | (0.047) | |
UN | –0.261*** | –0.305*** | –0.264*** | –0.142*** | –0.220*** | 0.007 | –0.264*** | –0.252*** | –0.096** |
(0.044) | (0.041) | (0.052) | (0.040) | (0.041) | (0.061) | (0.036) | (0.037) | (0.045) |
A closer breakdown indicates that economic sanctions strongly undermine investment freedom (–0.356) and monetary freedom (–0.223), whereas non‑economic sanctions most heavily affect property rights (–0.234) and financial freedom (–0.416). Detailed examination of trade sanctions shows that export restrictions marginally affect property rights (–0.123), whereas import restrictions more severely constrain monetary and labor freedoms (–0.183 and –0.180). Financial sanctions exhibit a broad negative pattern, undermining multiple subcategories of freedom.
Regarding the source of sanctions, the table highlights that US measures disproportionately harm monetary and labor freedoms (–0.205 and –0.202), whereas EU sanctions mainly curtail property rights and monetary freedom (–0.178 and –0.199). UN sanctions appear the most severe overall, especially in reducing property rights (–0.305) and monetary freedom (–0.264). These findings show that while sanctions generally reduce economic freedom, the mechanisms and intensity differ by sanction type and sanctioning body.
The consistent use of PCSE and FGLS approaches ensures that issues of autocorrelation and heteroskedasticity are adequately addressed. PLS-SEM further strengthens the analysis by revealing how sanctions propagate across multiple channels of economic freedom and by identifying direct, indirect, and moderating effects. Taken together, these methods reveal a persistent negative association between sanctions and economic freedom across different periods, sources, and dimensions.
From a policy perspective, the results signal that while sanctioned nations may adjust their policies — evidenced in occasional upticks in fiscal or trade freedoms — such adaptations generally do not outweigh the overarching decline in investment, financial, and monetary freedoms. Over time, some targeted economies reduce their exposure to certain types of sanctions, yet the overall negative imprint of sanctions remains considerable. Shifts in the impact of different sanctions across the two time segments (2002–2012 vs. 2012–2022) further highlight the evolving interplay between geopolitical strategies and domestic economic policies.
These findings collectively illustrate the multifaceted and evolving influence of international sanctions on economic freedom. While sanctions consistently restrict overall economic freedom, varying degrees of resilience and adaptation emerge among sanctioned countries. The temporal analysis underscores how geopolitical shifts and domestic policy adjustments may moderate sanctions’ effects, even as measures such as UN sanctions intensify over time. Meanwhile, PLS-SEM evidence corroborates differential impacts across subcomponents of economic freedom, underlining that policy shifts introduced to counter sanctions may benefit some facets of economic autonomy while significantly hampering others.
By leveraging an array of empirical strategies — PCSE, FGLS, and PLS‑SEM — this investigation uncovers the nuanced interplay between sanction types, sanctioning entities, and the multidimensional facets of economic freedom. The subsequent section (Section 5) interprets these observations within broader theoretical and policy contexts, exploring how these insights might shape future sanctioning strategies and policy considerations.
Our investigation into the effects of international sanctions on economic freedom represents a rigorous examination of how these measures influence various dimensions of economic liberty across nations. Anchored in three pivotal hypotheses, the study aimed to unravel the impact of international sanctions on economic freedom in general, as well as the impact of the varied types and sources of sanctions on economic freedom, and the impact of sanctions on specific components of economic freedom. This analysis builds on a foundational correlation study and extends through a time-series analysis and advanced econometric techniques to ensure the robustness and accuracy of our findings. By integrating methodologies like PCSE, FGLS, and PLS-SEM, our research navigates the complexities inherent in evaluating the impacts of sanctions, offering a nuanced understanding of their consequences on economic freedom.
Our first objective was to assess whether sanctions, in general, erode economic freedom. The findings indicate a clear, sizable negative impact, reinforcing the view that sanctions — by constraining trade, inhibiting financial flows, and restricting other economic activities — pose substantial barriers to market-oriented behavior. This conclusion echoes past literature, such as
Importantly, the severity of these outcomes is shaped by an array of mediating conditions, including the source and design of sanctions, a country’s macroeconomic fundamentals, and external global conditions. Our findings, therefore, lead into a second key question regarding how different types and origins of sanctions might unevenly influence economic freedom.
Guided by our second hypothesis, we examined whether the nature and source of sanctions produce varying impacts on economic freedom. The results confirm that both economic and non-economic sanctions significantly restrict liberties associated with market-based transactions; however, non-economic sanctions appear to be more damaging on average. Moreover, disaggregating sanctions into trade-based, financial, or otherwise revealed that trade and financial restrictions disproportionately reduce trade freedom and overall economic autonomy. These outcomes align with
Equally critical is the finding that the origin of sanctions — whether imposed by the UN, the EU, or the USA — matters greatly. In our analysis, UN sanctions stand out for their strong negative impact on economic freedom, followed by sanctions from the EU and then the USA. This hierarchy underscores the often multilateral backing of UN sanctions, making it more challenging for targeted nations to sidestep these measures. In contrast, unilateral sanctions may be mitigated by alternative partnerships, although they still impose considerable hardships, especially in areas such as financial services and global market access.
The study also employed a Comparative Temporal Analysis, splitting the sample into earlier (2002–2012) and later (2012–2022) periods. Despite a broad intensification of sanctions in recent years, the adverse effect on economic freedom shows signs of moderation. Several key factors help explain this trend.
Adaptation and resilience: Targeted states often adapt by diversifying their economic structures, establishing new trade partnerships, and boosting local production.
Globalization and economic integration: As the global economy becomes more interlinked, the unilateral effects of sanctions diminish.
Policy and regulatory reforms: Targeted governments frequently revise their economic regulations, improving financial systems or enacting policy reforms to withstand external shocks (
Although these shifts mitigate some negative impacts, our results confirm that sanctions retain a sizable constraining power overall. Indeed, the intensification of UN sanctions in the latter period highlights how geopolitical evolution and global alliances can alter the potency of these measures.
Our fourth objective focused on isolating the effects of sanctions on individual dimensions of economic freedom, using PLS-SEM for greater analytical precision. The evidence suggests a complex picture: trade freedom can sometimes benefit marginally — perhaps as a result of policy adjustments or the redirection of trading partners — while investment freedom, monetary freedom, property rights, and financial freedom frequently endure more severe setbacks.
Economic sanctions (e.g., trade and financial) heavily undermine investment freedom and monetary freedom, suggesting they restrict capital formation and destabilize price levels. Non-economic sanctions (e.g., arms embargoes, travel bans) impose harsher blows to property rights and financial freedom, aligning with the idea that non-economic sanctions often push governments to tighten control over domestic institutions, thereby stifling private enterprise. The source of sanctions similarly matters here: UN measures impose especially strong downward pressure on property rights and monetary freedom, more so than EU or USA sanctions. These results reinforce the view that sanctions do not impact economic freedom uniformly. The specific nature of the restrictions — what sectors or operations they target, how enforcement is implemented, and who imposes them — plays a pivotal role in shaping outcomes. As
From a policy standpoint, our study highlights several priorities.
1. Policymakers considering sanctions must address how these measures affect foundational economic freedoms, especially regarding investment flows, property rights, and financial systems. A carefully calibrated approach can preserve essential freedoms while still pressuring targeted regimes.
2. Sanctioned nations need to develop robust strategies — diversifying trade, enhancing domestic production, and refining regulatory frameworks — to mitigate economic harm and safeguard certain economic freedoms. For instance, deepening relationships with non-sanctioning nations or international organizations may reduce dependence on restricted export markets (
3. There remains a need for more nuanced analysis of how various economic sectors, social strata, and governance structures respond to sanctions, as well as how alliances and global power shifts shape these outcomes (
Insights from such inquiries could inform more precise, targeted policies that minimize unintended collateral harm. Overall, the detrimental but modulating effects of sanctions underscore that while international sanctions remain influential levers of foreign policy, they also risk long-term damage to economic freedom. Striking an appropriate balance between political objectives and harm to civilian welfare, market dynamism, and institutional integrity represents a persistent challenge for both sanctioning bodies and targeted nations.
Despite offering a comprehensive perspective, this study has inherent limitations that warrant acknowledgment. Data availability varies significantly, as the quality and granularity of sanctions data differ across countries, potentially affecting the precision of our estimates. Detailed real-time data on the intensity of sanctions and their immediate impacts remain difficult to obtain, making it challenging to capture short-term effects accurately. Furthermore, the dynamic global context, involving shifting geopolitical landscapes and evolving trade networks, complicates the task of extrapolating findings from the 2002–2022 timeframe to other periods or emerging conflict zones. Another limitation stems from sanction heterogeneity, as the broad categorization into “economic” versus “non-economic” can group together a wide range of measures. More fine-grained analyses are needed to unravel how specific policies, such as secondary sanctions or partial embargoes, intersect with unique institutional and political conditions.
To address these challenges, future research could expand the dataset to encompass additional countries and a longer timeframe, thereby capturing further variation in sanction regimes and economic contexts. Scholars might also consider sector-by-sector or micro-level investigations to explore how sanctions reshape individual industries or labor segments, which could offer deeper insights into social inequalities and resilience strategies. Examining both immediate and long-term effects of sanctions may clarify how economic freedoms evolve over different intervals, paving the way for policy frameworks that better balance international security goals with the preservation of open and functional markets.
This research has explored how international sanctions, whether economic or non-economic, can reshape the contours of economic freedom. Drawing on a diverse sample of sanctioned countries over two decades, our study underscores that sanctions consistently constrain economic liberty, yet they do so in complex and evolving ways. Across the board, our empirical analyses — based on PCSE, FGLS, and PLS-SEM — show a pronounced adverse effect on investment, financial, and monetary freedoms, particularly under sanctions enforced by multilateral bodies such as the United Nations.
Nonetheless, the findings also highlight pathways of resilience and adaptation. Many sanctioned nations implement reforms that bolster certain dimensions of economic freedom, such as trade or fiscal policies, even as other areas contract. These adaptive responses — ranging from diversified trade partnerships to alternative financial mechanisms — temper some of the most severe impacts but rarely negate sanctions’ overarching negative influence. Moreover, the temporal analysis reveals that while the detrimental effects of sanctions remain persistent, they may moderate over time as targeted economies adjust.
Overall, the study’s results underscore that sanctions remain powerful instruments of foreign policy, shaping not only political behavior but also the institutional foundations of economic activity. Striking a more balanced approach — one that achieves international objectives while minimizing collateral harm — calls for carefully calibrated sanction regimes. Policymakers would do well to recognize the asymmetric burdens imposed on various components of economic freedom and to account for the adaptive potential of targeted states. Future research could further refine these insights by exploring micro-level sectoral impacts, expanding the temporal and geographical scope, and refining models of sanction type and intensity. Such an inquiry would foster a deeper understanding of how to employ sanctions more judiciously, preserving fundamental economic freedoms while pursuing pressing global security and ethical goals.
All data used in this study are publicly accessible. Information on sanctions is sourced from the Global Sanctions Database (GSDB) (https://www.globalsanctionsdatabase.com/), while data on economic freedom is obtained from the Heritage Foundation (https://www.heritage.org/). Additional control variables are drawn from the World Development Indicators (WDI) (https://datatopics.worldbank.org/world-development-indicators/).
Variable | Obs | Mean | Std. dev. | Min | Max |
Year | 441 | 2012 | 6.062 | 2002 | 2022 |
Sanctions_Index | 441 | 11.283 | 12.555 | 0 | 103.00 |
Eco_sanctions | 441 | 5.916 | 7.774 | 0 | 68.00 |
Non_eco_sanctions | 441 | 5.367 | 5.612 | 0 | 35.00 |
Trade_export | 441 | 1.628 | 2.669 | 0 | 22.00 |
Trade_import | 441 | 1.224 | 2.133 | 0 | 20.00 |
Financial | 441 | 3.063 | 3.401 | 0 | 26.00 |
USA | 441 | 1.751 | 1.995 | 0 | 9.00 |
EU | 441 | 0.839 | 0.876 | 0 | 7.00 |
UN | 441 | 0.587 | 0.959 | 0 | 4.00 |
Economic_freedom | 432 | 50.753 | 7.332 | 16.00 | 67.00 |
Monetary_freedom | 403 | 67.314 | 12.980 | 0 | 92.30 |
Fiscal_freedom | 384 | 78.529 | 13.916 | 5.00 | 99.00 |
Investment_freedom | 396 | 34.864 | 16.985 | 5.00 | 80.00 |
Business_freedom | 385 | 51.944 | 12.497 | 20.00 | 84.00 |
Financial_freedom | 429 | 31.667 | 15.604 | 10.00 | 70.00 |
Trade_freedom | 435 | 64.661 | 12.428 | 15.00 | 90.00 |
Labor_freedom | 429 | 56.333 | 13.243 | 20.00 | 87.00 |
Property_rights | 441 | 27.271 | 11.457 | 5.00 | 63.00 |
Corruption_freedom | 431 | 23.893 | 7.952 | 8.00 | 49.00 |
Trade/GDP | 399 | –4.881 | 13.928 | –53.86 | 45.94 |
GDP per capita | 441 | 8491.849 | 7473.080 | 426.17 | 40,641.80 |
Inflation | 416 | 13.378 | 24.427 | –10.10 | 359.10 |
Current | 394 | –1.136 | 11.623 | –78.45 | 63.39 |
FDI | 386 | 2.734 | 3.084 | –2.60 | 18.83 |
Correlations between economic freedom components and sanctions variables.
Variable | Sanctions_ Index | Eco_ sanctions | Non_eco_ sanctions | Trade_ export | Trade_ import | Financial | USA | EU | UN |
Economic_freedom | –0.19*** | –0.16*** | –0.21*** | –0.20*** | –0.12* | –0.14** | –0.15** | –0.21*** | –0.35*** |
Monetary_freedom | –0.28*** | –0.29*** | –0.23*** | –0.29*** | –0.25*** | –0.27*** | –0.26*** | –0.23*** | –0.27*** |
Fiscal_freedom | 0.15** | 0.14** | 0.15** | 0.07 | 0.10* | 0.20*** | 0.08 | 0.08 | 0.003*** |
Investment_freedom | –0.42*** | –0.44*** | –0.32*** | –0.46*** | –0.39*** | –0.41*** | –0.44*** | –0.30*** | –0.23*** |
Business_freedom | 0.05 | 0.09 | –0.01 | 0.11* | 0.13** | 0.03 | –0.17*** | 0.08 | –0.08 |
Financial_freedom | –0.43*** | –0.37*** | –0.45*** | –0.36*** | –0.31*** | –0.38*** | –0.31*** | –0.31*** | –0.28*** |
Trade_freedom | 0.08 | 0.05 | 0.12* | –0.004* | 0.04 | 0.09 | –0.02 | 0.06 | –0.27*** |
Labor_freedom | –0.16** | –0.18*** | –0.09* | –0.17*** | –0.19*** | –0.16*** | –0.21*** | 0.01 | –0.15** |
Property_rights | –0.16*** | –0.09 | –0.23*** | –0.12* | 0.01 | –0.12* | –0.04 | –0.18*** | –0.31*** |
Corruption_freedom | –0.03 | 0.01 | –0.08 | 0.01 | 0.09* | –0.06 | –0.11* | 0.03 | –0.25*** |
Variable | (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | |
(1) | Economic_freedom | 1 | |||||||||
(2) | Monetary_freedom | 0.64*** | 1 | ||||||||
(3) | Fiscal_freedom | 0.43*** | 0.27*** | 1 | |||||||
(4) | Investment_freedom | 0.52*** | 0.46*** | 0.10* | 1 | ||||||
(5) | Business_freedom | 0.41*** | 0.10* | 0.20*** | 0.06 | 1 | |||||
(6) | Financial_freedom | 0.56*** | 0.46*** | 0.15** | 0.50*** | 0.02 | 1 | ||||
(7) | Trade_freedom | 0.39*** | 0.12* | 0.30*** | 0.04 | 0.11* | 0.08 | 1 | |||
(8) | Labor_freedom | 0.25*** | 0.02 | 0.16*** | 0.18*** | 0.43*** | 0.03 | 0.04 | 1 | ||
(9) | Property_rights | 0.59*** | 0.26*** | 0.11* | 0.27*** | 0.46*** | 0.40*** | 0.12** | 0.20*** | 1 | |
(10) | Corruption_freedom | 0.41*** | 0.13** | –0.02 | –0.03 | 0.29*** | 0.11* | 0.29*** | 0.04 | 0.44*** | 1 |
Variable | (ADF) | (Autocorrelation) test | ||
z (t-bar) | Durbin–Watson statistic | |||
Sanctions_Index | lag(1) –6.5576*** | 0.2565 | ||
Eco_sanctions | lag(1) –6.2659*** | 0.2876 | ||
Non_eco_sanctions | lag(0) –7.2634*** | 0.2779 | ||
Trade_export | lag(1) –6.0547*** | 0.1521 | ||
Trade_import | lag(1) –6.1823*** | 0.2063 | ||
Financial | lag(8) –5.6282*** | 0.1793 | ||
USA | lag(0) –5.7687*** | 0.1602 | ||
EU | lag(0) –8.3564*** | 0.2824 | ||
UN | lag(8) –4.9266*** | 0.1526 | ||
Economic_freedom | lag(2) –4.9926*** | 0.0036 | ||
Monetary_freedom | lag(1) –6.9581*** | 0.0132 | ||
Fiscal_freedom | lag(1) –5.9318*** | 0.0126 | ||
Investment_freedom | lag(0) –4.8547*** | 0.0370 | ||
Business_freedom | lag(6) –4.9164*** | 0.0150 | ||
Financial_freedom | lag(3) –4.5979*** | 0.0273 | ||
Trade_freedom | lag(4) –5.5019*** | 0.0103 | ||
Labor_freedom | lag(1) –5.4761*** | 0.0104 | ||
Property_rights | lag(18) –4.1178*** | 0.0536 | ||
Corruption_freedom | lag(3) –6.4149*** | 0.0406 | ||
Trade/GDP | lag(10) –5.9128*** | 0.2606 | ||
GDP per capita | lag(1) –4.4618*** | 0.0972 | ||
Inflation | lag(3) –8.5760*** | 0.5768 | ||
Current | lag(8) –6.9070*** | 0.7930 | ||
FDI | lag(5) –5.0283*** | 0.2669 |
Detailed schematic of sanctions’ impact pathways on economic freedom.
Note: This schematic provides a visual representation of the theoretical model underpinning the analysis, outlining the expected pathways through which international sanctions might influence various dimensions of economic freedom. It facilitates a conceptual understanding of the hypothesized relationships Source: Compiled by the authors based on study findings.
Variable | Sanctions_ Index | Eco_ sanctions | Non_Eco_ sanctions | Trade_ export | Trade_ import | Financial | USA | EU | UN | Heatmap coefficient | |
Trade_freedom | 0.122*** | 0.120** | 0.14*** | 0.052 | 0.092* | 0.115*** | 0.008 | 0.083 | –0.261*** | ||
Property_rights | –0.161*** | –0.088 | –0.234*** | –0.123** | 0.019 | –0.115** | –0.036 | –0.178*** | –0.305*** | 0.2 | |
Monetary_freedom | –0.225*** | –0.223*** | –0.196*** | –0.211*** | –0.183*** | –0.228*** | –0.205*** | –0.199*** | –0.264*** | 0.1 | |
Labor_freedom | –0.143*** | –0.171*** | –0.086* | –0.16*** | –0.18*** | –0.153*** | –0.202*** | 0.024 | –0.142*** | 0 | |
Investment_freedom | –0.344*** | –0.356*** | –0.28*** | –0.357*** | –0.286*** | –0.351*** | –0.367*** | –0.249*** | –0.220*** | –0.1 | |
Fiscal_freedom | 0.186*** | 0.186*** | 0.161*** | 0.124*** | 0.147*** | 0.229*** | 0.113** | 0.101** | 0.007 | –0.2 | |
Financial_freedom | –0.372*** | –0.298*** | –0.416*** | –0.269*** | –0.221*** | –0.327*** | –0.242*** | –0.271*** | –0.264*** | –0.3 | |
Corruption_freedom | –0.052 | –0.019 | –0.089* | –0.019 | 0.076* | –0.072 | –0.139*** | 0.017 | –0.252*** | –0.4 | |
Business_freedom | 0.020 | 0.053 | –0.026 | 0.066 | 0.098* | 0.011 | –0.210*** | 0.067 | –0.096** |
The full regression outcomes
Data type: PDF