The Role of Personal Remittances in Economic Development: A Comparative Analysis with Foreign Direct Investment in Lebanon
Abstract
:1. Introduction—Research Context and Aim
1.1. Previous Research and Findings on Remittances
1.2. Identifying and Addressing the Research Gap
1.3. Proposed Solution and Research Approach
2. Literature Review
2.1. Theoretical Foundations: An Integrated Theory Approach
- Development economics: Development economics focuses on improving economic, social, and political well-being in developing countries (Hayami and Godo 2005). Personal remittances’ impact on Lebanon’s developmental trajectory is analyzed, considering dimensions such as economic growth, income distribution, and poverty alleviation (UNDP 2023).
- Social capital theory: Social capital theory provides insights into the societal effects of personal remittances, emphasizing the value embedded in social relationships and networks within communities (Palloni et al. 2001). This framework allows for an examination of how remittances influence wealth distribution and shape societal dynamics. Informed by social capital theory, studies explore the impact of remittance-related social networks on communities, and they emphasize the role of an efficient institutional environment in fostering positive outcomes (Kadozi 2019; UNCTAD 2013).
- Sustainability: Sustainability considerations underscore the need to ensure long-term economic stability and development in Lebanon. While personal remittances contribute to short-term stability, sustainable development goals emphasize economic growth while protecting the environment and promoting social inclusivity (Aniche 2020). Diversification of revenue sources is essential for Lebanon’s long-term sustainability (Chang and Lebdioui 2020).
- Inequality: Inequality considerations suggest that personal remittances may alleviate poverty and reduce income inequality in recipient countries (Adenutsi 2011). However, remittances may also widen inequality gaps if not distributed equitably or if they primarily benefit certain segments of the population (Islam and Azad 2023).
- Dutch disease phenomenon: The Dutch disease phenomenon is a crucial aspect to consider in highlighting the negative consequences of remittances. Scholars argue that remittances may negatively impact productivity and growth, as funds are often directed toward consumption dominated by foreign goods rather than productive investments (Perez-Saiz et al. 2019). This phenomenon suggests that a surge in remittance inflows may lead to a real appreciation of the exchange rate, causing a shift away from tradable to non-tradable sectors (Fullenkamp et al. 2008b).
2.2. Positive and Negative Effects of Personal Remittances
3. Methodology
- Y represents the dependent variable (e.g., foreign direct investment, public debt, unemployment rate, GDP, or inflation rate)
- X represents the independent variable (personal remittances and FDI in this case)
- β0 is the intercept term, representing the value of Y when X is zero
- β1 is the coefficient, indicating the change in Y for a one-unit change in X
- ε represents the error term, capturing the difference between the observed and predicted values of Y.
3.1. Secondary Data Collection and Regression Analysis
3.2. Primary Data Collection: Questionnaires
4. Empirical Analysis Results
4.1. Lebanon-Specific Aspects
- Personal remittances (PR) vs. FDI: The consistent trend of personal remittances surpassing FDI underscores the significant role of remittances in Lebanon’s economy (Shahzad et al. 2014). Despite fluctuations, the overall dominance of PR implies a substantial inflow of funds from diaspora compared to direct investment. This raises questions about Lebanon’s attractiveness to foreign investors and the factors driving the preference for remittances over FDI.
- Trade imbalance: The persistent negative values representing trade imbalances indicate Lebanon’s reliance on imports, surpassing its export capacity (Azzi 2023). The fluctuating levels of trade deficits over time reflect dynamic economic conditions and external factors influencing trade dynamics. This imbalance poses challenges to Lebanon’s economic sustainability and underscores the need for strategies to address trade disparities and promote export-driven growth.
- Impact as sources of foreign currency and economic implications: Personal remittances, crucial for Lebanon’s financial stability and household support, dominate as stable sources of foreign currency (UNDP 2023). In contrast, FDI represents longer-term commitments subject to economic conditions. Heavy reliance on remittances to offset deficits raises sustainability concerns (Fullenkamp et al. 2008a). While providing short-term relief, remittances’ long-term impact on development requires careful consideration. Lebanon must diversify foreign currencies sources and address structural issues for sustainable growth and resilience to shocks.
4.2. Regression Analysis
4.3. Hierarchical Multiple Regression Models
- Baseline Model 1: FDI to GDP
- Description: This baseline model examines the relationship between foreign direct investment (FDI) and gross domestic product (GDP). It seeks to establish whether FDI has a significant impact on economic growth in Lebanon when considered in isolation.
- Findings: The results show that FDI has a weak and statistically insignificant relationship with GDP. This indicates that FDI is not a major driver of economic growth in Lebanon, as expected by traditional economic theory. The low R-squared value (0.014) means that only 1.4% of the variation in GDP can be explained by FDI alone.
- Model 2: Control Variables Added
- Description: In the second model, additional control variables—such as public debt, unemployment rate, and inflation rate—are introduced to account for other factors that may affect GDP. The aim is to isolate the specific effect of FDI on GDP while controlling for these economic variables.
- Findings: With the inclusion of control variables, the model fit improves significantly (R-squared increases to 0.819), explaining approximately 81.9% of the variation in GDP. However, even with the control variables, FDI remains a weak predictor of economic growth, reinforcing the findings from Model 1.
- Model 3: Personal Remittances (PR) Added
- Description: This model adds personal remittances (PR) to the analysis as a new independent variable, given the strong correlation observed between PR and GDP in earlier pairwise analyses. The objective is to compare the relative contributions of FDI and PR to Lebanon’s GDP.
- Findings: The inclusion of PR drastically improves the model, with R-squared rising to 0.899, meaning that 89.9% of the variation in GDP can now be explained by the model. The results show that PR has a much stronger and statistically significant impact on GDP compared to FDI. This suggests that PR plays a more prominent role in driving Lebanon’s economic growth.
- Model 4: PR and FDI with Control Variables Removed
- Description: In this final model, control variables are removed to focus solely on the relationship between PR, FDI, and GDP. This step helps further evaluate the individual contributions of PR and FDI without the influence of other economic variables.
- Findings: The model fit decreases compared to Model 3 (R-squared drops to 0.616), but it still indicates that PR is a dominant predictor of GDP. The exclusion of control variables reinforces that FDI’s impact on GDP remains minimal, while PR continues to explain a significant portion of the variation in GDP.
4.4. Questionnaire Results
4.4.1. Inequality Impact
4.4.2. Sustainability
4.4.3. Impact on Well-Being, Financial Stability, Development Economics
5. Discussion
- Consumption focus: The majority (54.8%) said that directing remittances toward basic living expenses raised concerns about excessive consumption, aligning with the Dutch disease phenomenon. This pattern may divert funds from productive sectors necessary for sustained economic growth.
- Limited investment allocation: A small percentage (5.1%) said they allocated remittance to investments or business ventures, suggesting challenges in fostering entrepreneurship and productive capital formation. This limitation may hinder the development of sectors crucial for economic resilience.
- Sustainability concerns: A significant proportion (42%) expressed concerns about remittance sustainability, underscoring worries about the economy’s overreliance on external inflows. This sentiment echoes Dutch disease caution against unsustainable dependence on remittance-driven support.
- Inequality impact: The data reflect respondents’ diverse opinions on whether remittances contribute to reducing or exacerbating income inequality. While a significant portion (30.6%) believed in the reduction of income inequality, concerns were raised by 18.5% about the potential exacerbation of such disparities. This mirrors the nuanced nature of social relationships and economic choices within the community.
- Sustainability: Opinions on the sustainability of remittances are varied. While 25.5% believed in the long-term sustainability, a substantial percentage (42%) expressed concerns about continuity. This dichotomy echoes the potential drawbacks, such as the Dutch disease phenomenon, where the sustainability of remittance-driven support might face challenges.
- Impact on well-being and financial stability: The positive impact perceived by 50.3% aligns with the idea that, for a significant portion, remittances contribute positively to economic conditions. However, the diversity of opinions, including concerns about sustainability and uncertainty, underscores the complexity of assessing the overall effects of remittances on well-being and financial stability.
6. Conclusions and Recommendations
6.1. Theoretical Conclusions and Implications
6.2. Industry and Policy Implications
6.3. Recommendations
6.4. Limitations and Future Research Avenues
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Conflicts of Interest
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Analysis | FDI (Foreign Direct Investment) | Public Debt | Unemployment Rate | GDP (Gross Domestic Product) | Inflation Rate |
---|---|---|---|---|---|
Contribution | A strong positive relationship exists between personal remittances and FDI, supported by a high R-squared value (0.9289) and low p-value (5.63 × 1012). | There is a significant positive correlation between personal remittances and public debt, evidenced by the high R-squared value (0.8962) and low p-value (1.75 × 1010). | The regression reveals a strong positive association between personal remittances and unemployment (R-squared = 0.9607, p-value = 1.18 × 1011). | A substantial positive relationship between personal remittances and GDP is evident, supported by a high R-squared value (0.9517) and low p-value (1.71 × 1013). | The analysis indicates a weak positive correlation between personal remittances and the inflation rate (R-squared = 0.1291, p-value = 0.1106). |
Implication | Higher personal remittances correlate with increased FDI, suggesting remittance-receiving countries may attract more foreign investment. | Increased personal remittances coincide with higher public debt, possibly indicating elevated government spending or borrowing influenced by remittance inflows. | Higher personal remittances are linked to increased unemployment rates, suggesting remittances may not effectively contribute to job creation or economic development. | Countries receiving higher personal remittances experience significant GDP growth, likely due to stimulation of consumption, investment, or other factors. | While there is a modest increase in the inflation rate with higher remittances, the result lacks statistical significance, suggesting a tenuous relationship between the two variables. |
Dependent Variable (PR as Independent Variable) | FDI | Public Debt | Unemployment | GDP | Inflation Rate |
---|---|---|---|---|---|
R-squared | 0.9289 | 0.8962 | 0.9607 | 0.9517 | 0.1291 |
Significance (p-value) | 5.63 × 1012 | 1.75 × 1010 | 1.18 × 1011 | 1.71 × 1013 | 0.1106 |
Coefficient (PR) | 1.3718 | 0.4232 | 23.307 | 5.8345 | 2.2184 |
Personal Remittances (PR) to GDP | Foreign Direct Investment (FDI) to GDP | |
---|---|---|
Multiple R | 0.976 | 0.12 |
R-squared | 0.952 | 0.014 |
Adjusted R-squared | 0.899 | −0.04 |
Coefficient | 5.834 | 1.534 |
Standard error | 0.302 | 2.996 |
t stat | 19.347 | 0.512 |
p-value | 5.82 × 1014 | 0.615 |
Lower 95% | 5.203 | −4.761 |
Upper 95% | 6.466 | 7.828 |
Model | Variable | Coefficient (B) | Std. Error | t-Value | p-Value | R | R Square | Adjusted R Square |
---|---|---|---|---|---|---|---|---|
1. FDI | FDI | 1.534 | 2.996 | 0.512 | 0.615 | 0.12 | 0.014 | −0.04 |
2. Control Variables Added | FDI | 0.819 | 0.77 | 1.063 | 0.262 | 0.905 | 0.819 | 0.77 |
Public Debt | −0.547 | 0.092 | −5.951 | <0.001 *** | ||||
Unemployment Rate | 6.855 | 1.295 | 5.29 | <0.001 *** | ||||
Inflation Rate | −0.226 | 0.051 | −4.431 | <0.001 *** | ||||
3. PR Added | FDI | −2.633 | 2.086 | −1.263 | 0.207 | 0.948 | 0.899 | 0.863 |
Public Debt | −0.309 | 0.1 | −3.09 | 0.002 ** | ||||
Unemployment Rate | 4.302 | 1.256 | 3.429 | <0.001 *** | ||||
Inflation Rate | −0.22 | 0.039 | −5.641 | <0.001 *** | ||||
Personal Remittances (PR) | 8.197 | 1.588 | 5.159 | <0.001 *** | ||||
4. PR and FDI with Control Variables Removed | FDI | −2.633 | 2.086 | −1.263 | 0.207 | 0.785 | 0.616 | 0.571 |
Personal Remittances (PR) | 8.197 | 1.588 | 5.159 | <0.001 *** |
Steps | Recommended Actions |
---|---|
1. Assess community needs | Conduct comprehensive assessments to understand socioeconomic challenges, opportunities, and aspirations. |
Evaluate existing levels of financial literacy, entrepreneurial skills, access to services, and community assets. | |
2. Build partnerships | Forge strategic partnerships with local NGOs, microfinance institutions, academia, the private sector, and the diaspora. |
Collaborate to co-create and implement development programs, leveraging collective expertise and resources. | |
3. Design capacity programs | Develop tailored capacity-building programs focused on financial literacy, entrepreneurship, and digital skills. |
Customize learning materials and methodologies to cater to the specific needs and preferences of target groups. | |
4. Implement financial inclusion | Pilot innovative initiatives like mobile banking, digital payments, and community-based savings groups. |
Introduce user-friendly financial products and microcredit schemes designed for remittance beneficiaries. | |
5. Establish investment funds | Create social investment funds, impact platforms, or community development funds to mobilize remittances. |
Develop transparent governance structures and investment criteria to ensure accountability and sustainability. | |
6. Facilitate entrepreneurship | Launch entrepreneurship programs, business incubators, and startup accelerators to provide mentorship and funding. |
Foster innovation through hackathons, pitch competitions, and networking events connecting entrepreneurs. | |
7. Promote social enterprises | Encourage the formation of social enterprises, cooperatives, and community-owned businesses using remittance funds. |
Provide capacity-building support and technical assistance to help establish sustainable business models. | |
8. Monitor and evaluate | Establish robust monitoring and evaluation systems to track progress, outcomes, and impact of development initiatives. |
Collect quantitative and qualitative data for adaptive management and program refinement based on stakeholder feedback. | |
9. Advocate policy reforms | Lobby for policy reforms, regulatory incentives, and supportive environments to facilitate remittance flows. |
Engage policymakers, regulators, and development agencies in dialogues addressing barriers to financial inclusion. | |
10. Scale successful models | Identify scalable solutions demonstrating impact and sustainability in leveraging remittances for development. |
Document case studies and success stories to inspire replication and adaptation of effective interventions globally. |
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Abou Ltaif, S.F.; Mihai-Yiannaki, S.; Thrassou, A. The Role of Personal Remittances in Economic Development: A Comparative Analysis with Foreign Direct Investment in Lebanon. Risks 2024, 12, 176. https://doi.org/10.3390/risks12110176
Abou Ltaif SF, Mihai-Yiannaki S, Thrassou A. The Role of Personal Remittances in Economic Development: A Comparative Analysis with Foreign Direct Investment in Lebanon. Risks. 2024; 12(11):176. https://doi.org/10.3390/risks12110176
Chicago/Turabian StyleAbou Ltaif, Samar F., Simona Mihai-Yiannaki, and Alkis Thrassou. 2024. "The Role of Personal Remittances in Economic Development: A Comparative Analysis with Foreign Direct Investment in Lebanon" Risks 12, no. 11: 176. https://doi.org/10.3390/risks12110176
APA StyleAbou Ltaif, S. F., Mihai-Yiannaki, S., & Thrassou, A. (2024). The Role of Personal Remittances in Economic Development: A Comparative Analysis with Foreign Direct Investment in Lebanon. Risks, 12(11), 176. https://doi.org/10.3390/risks12110176