Consumer Price Research Articles

STUDY OF TRIPLE BOTTOM LINE FRAMEWORK TO DETERMINE THE OFDI PATTERN OF VIETNAM

This study investigates Vietnam’s Outward Foreign Direct Investment (OFDI) spanning from 1990 to 2022, utilizing the Triple Bottom Line (TBL) framework alongside the Fully Modified Ordinary Least Squares technique. The observed positive correlation between CO2 emissions and foreign investment underscores the importance of corporate sustainability. Vietnam’s extensive forested land, comprising 41.89% of its total area, emerges as a pivotal factor in attracting environmentally conscious investors. On the social front, the population size demonstrates a negative impact on OFDI due to heightened competition within the domestic labor market. Regarding economic variables, the Consumer Price Index and patent applications exhibit minimal effects, whereas a growing Gross Domestic Product (GDP) substantially boosts foreign investments. The proposed practical policies for promoting OFDI include reinforcing environmental regulations, incentivizing the adoption of eco-friendly technologies and prioritizing the conservation of forested areas.

Unlocking Market Potential: Strategic Consumer Segmentation and Dynamic Pricing for Balancing Loyalty and Deal Seeking

Background: This paper examines the economic implications of market segmentation on consumer purchasing behavior with a particular emphasis on intertemporal pricing strategies in dynamic markets. Methods: In order to analyze optimal discount rates and the timing for price reductions for consumer segments, including loyal and deal-prone customers, a detailed mathematical model was developed. The model incorporates theories of consumer behavior and pricing elasticity to simulate market responses to price changes throughout a product’s lifecycle. Results: This research indicates that market segmentation enhances sales by targeting the distinct preferences of loyal consumers, who are less price-sensitive and who stabilize revenue streams, and deal-prone consumers, who respond to price reductions. Customizing pricing strategies for loyal consumers and deal-prone consumers increases sales volumes and optimizes profitability. Conclusions: This research improves our comprehension of market segmentation and dynamic pricing, providing a practical framework for businesses to create effective pricing strategies that can be promptly implemented. It emphasizes the significance of understanding consumer behavior and price sensitivity in the interest of revenue promotion. This study also emphasizes the social implications of equitable pricing practices, promoting the implementation of transparent and value-based strategies to promote market inclusivity and consumer trust.

The Art of Balancing Price and Plug: Developing a Theoretical Model for Dynamic Pricing in the Electric Vehicle Market

This study presents a novel approach to understanding the complex dynamics of the electric vehicle (EV) market through the lens of differential game theory. We developed a comprehensive model that captures the strategic interactions between EV manufacturers and charging network operators, while incorporating the effects of consumer behavior, market uncertainties, and reference price effects. Using differential game theory, we examined the impact of reference price effects and the charging network’s influence on pricing strategies, focusing on three distinct approaches: basic pricing, static pricing considering reference price effects, and dynamic pricing strategies. Our model offers new insights into consumer behavior and price expectations in the rapidly evolving EV market. The key findings reveal that under static or dynamic pricing strategies, the optimal pricing for EV manufacturers is positively correlated with the initial reference price. When the initial reference price is high (low), the optimal pricing strategy resembles skimming pricing (penetration pricing). As the effort level of charging network operators increases and their influence on consumers’ purchase decisions grows stronger, EV manufacturers tend to set higher prices. Notably, while dynamic pricing strategies can optimize EV manufacturers’ profits, the profits of charging network operators may decrease compared with static pricing strategies. This integrated approach significantly contributes to the field by bridging gaps among market dynamics, pricing strategies, and the infrastructure’s development in the context of electric mobility, providing a comprehensive framework for understanding and optimizing the EV ecosystem. Ultimately, this study advances sustainable business models that balance profitability, consumer behavior, and the infrastructure’s growth in the rapidly evolving EV market.

MACRO-ECONOMETRIC ANALYSIS OF INWARD CAPITAL FLOWS: A CASE OF NIGERIA IN TIMES OF SECURITY CHALLENGES

This study used quarterly data for the period of 2014Q1–2021Q2 to investigate the macro-econometric implications of capital flows to Nigeria in the face of security challenges. The ARDL bounds test technique identified the long-run relationships between macroeconomic dynamics, insecurity, and total capital inflows to Nigeria, while the error correction mechanism (ECM) identified the short-run relationships. The Toda-Yamamoto test was used to determine whether the model variables were causally related or not. The findings pointed to a short-term negative relationship between insecurity, exchange rates, lending rates, and inflows of capital, while a positive relationship was found between industrial production capacity, the consumer price index, and the total inflows of capital to Nigeria, with insecurity, exchange rates, the consumer price index, and lending rates being the most significant variables. In the long run, insecurity, lending rate, and consumer price index had no significant impact on inward capital inflows, while exchange rate and industrial production capacity exerted significant impacts on capital inflows. The lending rate had a negative impact on overall inflows of capital, whereas the exchange rate, industrial production capacity, and consumer price index had positive impacts. The exchange rate and industrial production capacity were the most important variables that affected capital inflows. Based on the ECM, it was realized that aggregate inward capital flows were stabilized by a factor of roughly 47.2% per quarter in order to reach long-run equilibrium. The Toda-Yamamoto causality tests indicated that the interactions between macroeconomic variables and insecurity strongly influenced capital flows to Nigeria. The overall findings suggested that promoting macroeconomic stability and combating insecurity could improve the investment climate, encouraging foreign capital flows into Nigeria.

Monetary Value of Surf Zone Fishery Resources on the SouthWest Iberian Peninsula

ABSTRACTBeaches are among the world's most important coastal ecosystems, within which surf zones are crucial providers of essential ecosystem services to humans. We completed the first estimate of current and potential monetary value of fishery resources in surf zones of beaches on the southwestern Iberian Peninsula. Over 1 year, five beaches in the Gulf of Cádiz were sampled using a beach seine. For monetary valuation, average first‐sale prices were used, with a capital update based on the Consumer Price Index (CPI). The 189.16 kg of 38 commercial species captured had a potential monetary value (PMV) of 408.63 €/ha. The annual value of adult fish (19 species) averaged 115.05 €/ha and juvenile fish (33 species) averaged 293.58 €/ha. Our findings highlight the value of surf zones and beaches as fishery resources, similar to other marine ecosystems. Our findings are useful for ongoing monitoring and research to enhance knowledge of these areas and the array of ecosystem services they provide.

Euroization of the Economy and the Negative Impact of the Strengthening of the Local Currency on Exports and Other Economic Indicators in Albania

The Albanian economy is a small and open economy. As such, it is quickly influenced by the turbulence of the global, European, and regional economies. Economic theory emphasizes the link between the exchange rate, exports, the consumer price index, and the balance of foreign trade. The purpose of this article is to study the impact of the exchange rate, primarily at the export level, while also considering other economic factors within the framework of the overvaluation of the Albanian currency (ALL) against the currencies of partner countries, mainly the Euro. The overvaluation of the Albanian currency has led to discouraging exports and increasing imports, influencing the rise in the Consumer Price Index, meaning higher consumer prices. This is due to the fact that the Albanian economy is mainly dependent on imports. The empirical and econometric models used, along with the factors included in this study according to the hypotheses raised, are related to assessing the mutual relationships of the exchange rate with other economic factors for the time period 2018-2023.The results imply and depict the integrated relationship between the exchange rate and exports and other economic factors, as well as supporting the fact that the real exchange rate (RER) has deviated from its equilibrium level. The conclusions in this study confirm that an overvalued domestic currency has increased costs for operations conducted in the local currency ALL, reducing income for operations conducted in Euro and other currencies. This overvaluation of the domestic currency has resulted in losses for exporting companies, impacting the trade balance. Based on the findings in this study, it is crucial for financial institutions and policymakers to be consistent in monitoring the exchange rate, especially EUR/ALL, to improve the long-term relationships between the exchange rate, exports, and other economic factors.

Trends in Medicare Utilization and Reimbursement for Traumatic Brain Injury: 2003–2021

Traumatic brain injury (TBI) is a significant public health issue among Medicare beneficiaries, with many specialties reporting consistent annual decreases in utilization and reimbursement. This study investigates the trends in Medicare utilization and rates of reimbursement for neurosurgical procedures related to TBI from 2003 to 2021, aiming to provide insights into the economic aspects of TBI care. Utilizing the Medicare Part B National Summary Data files, we analyzed 14 neurosurgical procedures over the 18-year period, assessing the changes in procedural volume and mean reimbursement per procedure, adjusted for inflation to the 2021 USD using the Consumer Price Index. From 2003 to 2021, TBI-related neurosurgical interventions showed a total percent change of −15.39% in procedural volume and −3.11% in inflation-adjusted mean reimbursement per procedure. Linear regression analyses indicated a significant downward trend in the overall procedural volume (p < 0.001) but no significant trend in the inflation-adjusted mean reimbursement rates (p = 0.585). Subgroup analyses did not reveal significant changes in the reimbursement rates for decompressive craniotomy/craniectomy, cranioplasty, intracranial pressure management, and traumatic fracture/penetration procedures. Our study indicates a significant decrease in neurosurgical TBI procedural volumes, while reimbursement rates remained stable when adjusted for inflation, highlighting the need for policy adjustments to ensure adequate resources for TBI care.

Econometric analysis of factors influencing export performance of soybean (Glycine max) production in NIGERIA: An auto-regressive distributive lag (ARDL) approach

This study presents an econometric analysis of factors influencing the export performance of soybean (Glycine max) production in Nigeria using an auto-regressive distributive lag (ARDL) approach. The study used a secondary data covering the period from 2011 to 2022. The used data were collected from CBN (Central Bank of Nigeria), NBS (National Bureau of Statistics), FAO (Food and Agriculture Organization), and the General Household Survey-Panel (GHS-P) in conjunction with the Federal Ministry of Agriculture and Rural Development, and the World Bank publication. The data analysis included descriptive statistics, Augmented Dickey-Fuller (ADF) unit root test, Bound test, ARDL, and principal component model. The result of the ADF unit root test showed that the trade openness, consumer price index, exchange rate, population growth, world trade in oil seeds, agricultural labor, and soybean production were stationary at first difference I (1), while agricultural machinery was stationary at level I (0). The results of ARDL method showed that the consumer price index, population growth rate, world trade in oil seeds, agricultural labor, and agricultural machinery were significant factors influencing export performance of soybean in Nigeria. The trade openness and exchange rate were not different significantly from zero. The trade openness could not expand market access due to non-competitiveness of the Nigerian’s soybean. The exchange rate has lost its role with respect to soybean seed partners in international trade. The policies that would encourage exportation of this crop should be pursued by provision of storage facilities, granting of tax holidays, long term export credit at concessionary interest rate to exporters, and research activities towards improving the quality of produced agricultural products. Keywords: Export Performance, Augmented Dickey-Fuller, Auto-Regressive Distributive Lag, Soybean Production, Nigeria

How redistribution can make carbon taxes more acceptable to the public

ABSTRACT Carbon taxation is a market-based, incentive-driven policy tool, and it is often recommended in mainstream environmental economics. However, it is, by design or in effect consumption taxation, meant to make high-emission products and services more expensive. When affecting consumer prices, the unintended consequence is that they affect those who earn the least the hardest. As a result, low-income groups are generally less supportive of carbon taxes. However, carbon tax reforms need not be regressive. Policy designs can include mechanisms of social compensation. In this article, we show that the popularity of carbon taxes can be improved if citizens are presented with a progressive carbon tax reform. This effect is mainly driven by higher support among low-income groups. This is tested using a split-sample experiment collected in Denmark and employing regressions to explore the differences.

Analyzing the Impact of Vision 2030’s Economic Reforms on Saudi Arabia’s Consumer Price Index

This study examines the relationship between CO2 emissions, labor force participation, foreign direct investment (FDI), and trade openness on the Consumer Price Index (CPI) in Saudi Arabia, within the context of Vision 2030’s economic reforms. Vision 2030 aims to diversify the economy, reduce oil dependency, and promote sustainable growth, making it crucial to understand the factors influencing inflation and economic stability. Using annual data from 2001 to 2022 and the nonlinear Autoregressive Distributed Lag (NARDL) bounds testing approach, the study analyzes both short- and long-term effects. The findings reveal that higher CO2 emissions have a deflationary effect, reducing the CPI in both the short and long term, while FDI shows an inflationary impact with a delayed effect. Labor force expansion contributes to lowering the CPI, reflecting its deflationary pressure, especially over the long term. Trade openness is also examined for its dual effects on CPI, In the short run, both positive and negative trade openness reduce consumer prices, while in the long run, positive trade openness increases inflation, and negative trade openness lowers prices. This shows the differing inflationary impacts of trade openness over time. These findings contribute to the policy discourse on balancing economic growth, environmental sustainability, and inflation management, offering strategic insights for policymakers in alignment with Saudi Arabia’s Vision 2030 objectives.

Coal Phase-Out and Carbon Tax Analysis with Long-Term Planning Models: A Case Study for the Chilean Electric Power System

Large CO2 emissions constitute a significant problem today due to their effect on climate change, and the need to design appropriate energy policies to mitigate their consequences and reduce emissions requires a detailed analysis of one of the main sources of such emissions: the electricity system. Thus, this paper presents a study on the effects of energy policies on decarbonization by comparing the detailed phase-out of coal-fired power plants across a range of cases with the implementation of a carbon tax to meet Nationally Determined Contributions (NDCs). The case study focuses on the Chilean electricity system, using a long-term generation and transmission expansion planning model (GTEP) that incorporates a wide range of generation technologies. The study examines the long-term effects of these policies, including costs, investments, and CO2 emissions, as well as their impact on consumer prices reflected in the marginal costs of the system. The transmission system modeling covers various regions of Chile and significant projections for renewable energy sources. It evaluates three economic scenarios based on generation technology costs, fuel prices, and electricity demand under four different closure schemes and fourteen different carbon tax levels. The results indicate that implementing a carbon tax can be more cost-effective for the system than the implementation of a phase-out schedule for coal plants, taking the form of reduced CO2 emission and overall system costs, with an optimal carbon tax value of 37 USD/tCO2. Additionally, the study reveals significant effects on consumer prices, showing that a carbon tax as an energy policy leads to lower prices compared to a phase-out scheme.

Factors Influencing Inflation: Insights from the Nepalese Economy

Inflation is a persistent issue in developing nations such as Nepal, resulting in serious economic and social consequences. This article examines the macroeconomic determinants of inflation in Nepal, considering the variables as government expenditure, exchange rate remittances, real GDP, and the consumer price index of India. Using the time series data from 1975 to 2023. It employs the Engel-Granger two-step cointegration test to examine the short- and long-term causal connections between Nepal's consumer price index (inflation) and all of these variables. The augmented Dickey-Fuller unit root test confirms that the variables are stationary at first difference, suggesting they possess an integrated order of I. The Engel-Granger test established that there is co-integration among the variables. Additionally, the error correction term (ECT) was found to be statistically significant, with a negative coefficient. The causal association between the selected dependent and explanatory variables in Nepal is both significant and persistent. The empirical findings suggest that India's inflation highly affects inflation in Nepal. Furthermore, the enduring effects of broad money supply and government expenditure are also substantial factors. The results indicate an inverse relationship between inflation and real GDP in Nepal, whereas remittances have no significant impact on consumer prices in the nation. So, it is vital to control inflation to be able to deal with poverty and economic growth. Policies are needed to keep the inflation target range around the optimum inflation rate to accelerate the pace of economic growth and ensure that the adverse effect inflation has on economic growth is minimized.

Rule of Law, Regulatory Quality and investment Growth in Nigeria: An Impact Analysis

This study focus on rule of law, regulatory quality and investment growth in Nigeria employing ordinary least square method of estimation. A time series data spanning from 1997 to 2019. The economic growth was proxied with investment growth, while other variables include rule of law, regulatory quality, consumer price index, premium lending rate, trade openness, financial deepening, investment, gross investment and gross fixed capital formation. The finding of the OLS result shows that there is significant positive relationship between rule of law, regulatory quality and economic growth. Also, the result of the ECM shows that the speed of adjustment of the investment growth in the long run would be accounted for in short run by the magnitude of 27% and 40%. In the robustness check, negative significant relationship exist between rule of law, regulatory quality, investment and gross investment. Findings from granger causality test shows that there is a unidirectional causality between rule of law and economic growth, and also a bidirectional causality between regulatory quality and economic growth. Thus, improvement in the governance and institutional framework in Nigeria is suggested as policy recommendation.

Trends in household food insecurity from the Canadian Community Health Survey, 2017 to 2022.

Income-related food insecurity is an important determinant of health. This study aimed to provide an update on the food security status of Canadian households using the most recent available data from a health-oriented national-level survey. This study also examined trends in food insecurity since 2017, and how these have tracked with changes in price inflation. Data on household food security status in the 10 Canadian provinces came from five annual cycles of the population-representative cross-sectional Canadian Community Health Survey (CCHS): 2017, 2018, 2020 (September to December), 2021, and 2022. The Household Food Security Survey Module was used to categorize household food security status during the previous 12 months as food secure or marginally, moderately, or severely insecure. Before 2019, approximately 1 in 10 households had experienced some level of food insecurity in the previous 12 months (9.6% in 2017 and 11.6% in 2018). Household food insecurity prevalence was slightly lower and stable during the COVID-19 pandemic years (8.5% in fall 2020 and 9.1% in 2021) and increased to 15.6% in 2022. Levels of household food insecurity generally tracked with changes in consumer price inflation. Compared with 2021, there were notable increases in levels of moderate and severe food insecurity in 2022 among one-parent households with children, renters, and those reliant on government financial assistance. The prevalence of household food insecurity in the CCHS was relatively stable from 2017 to 2021, increased in 2022, and generally tracked with changes in price inflation. Monitoring levels of household food insecurity will continue to be important as price inflation eases but the cost of living remains high.

New-Tenant Rent Passthrough and the Future of Rent Inflation

New-tenant rent inflation rose sharply during the COVID-19 pandemic, subsequently falling. Concomitantly, consumer price index (CPI) tenant rent, which measures rent increases for both new and continuing renters, rose more gradually and, after falling somewhat, has remained elevated. To illustrate why CPI rent inflation has remained elevated, we combine a measure of new-tenant rents and annual renter mobility rates to create a simulated CPI tenant rent inflation measure. We use this simulation to define a "rent gap" that represents the difference between actual CPI tenant rent inflation and rent inflation we would observe if every tenant experienced new-tenant rent inflation. This gap has declined since hitting its peak at the end of 2022 but remains high, implying that existing rents for continuing renters may still be notably below new-tenant rent levels and that rent inflation may remain elevated. However, the future path remains uncertain because it depends on future mobility rates, future passthrough rates, and future new-tenant rent inflation.

The Decline of Medicare Reimbursement in Anatomic Pathology

Abstract Introduction/Objective Lack of an annual inflationary update for physician reimbursement from the Centers for Medicare & Medicaid Services (CMS) jeopardizes access to anatomic pathology services at healthcare institutions nationwide. The effects of recent inflationary trends on anatomic pathology physician reimbursement are unknown. Thus, our study sought to analyze trends in Medicare reimbursement rates from 2004 to 2024 for anatomic pathology procedures. Methods/Case Report The Physician Fee Schedule Look-Up Tool from the CMS was queried for the top 30 CPT codes utilized, and physician reimbursement data extracted. Monetary data was subsequently adjusted for inflation utilizing the Consumer Price Index and reported in 2024 US dollars. The average annual and total percent change in reimbursement were calculated for included procedures. The compound annual growth rate (CAGR) was calculated using 2024 and 2000 inflation-adjusted monetary data. Results (if a Case Study enter NA) Prior to adjusting for inflation, the average physician reimbursement increased by 9.7% from 2004 to 2024 for all included anatomic pathology CPT codes. After adjusting for inflation, the average physician reimbursement decreased by 34.2% for included CPT codes. The greatest decrease in reimbursement observed from 2004 to 2024 was for outside slide consultation at 60.5% ($330.12 to $130.49), followed by pathology consultation during surgery at 59.0% ($83.54 to $34.29). The average CAGR was -2.19%. Conclusion Our study demonstrates that Medicare physician reimbursement for common anatomic pathology procedures is declining annually at an unsustainable rate. This downward trend necessitates policy action to prevent access barriers to quality anatomic pathology care nationwide, especially for Medicare beneficiaries.

Исследование факторов, определяющих динамику и качество прогнозирования потребительских цен на рыбную продукцию

Using information of the Territorial body of the Federal State Statistics Service for the Primorsky Territory (Primorskstat), the dynamics of consumer price indices for fishery products in the country as a whole, the Far Eastern Federal District and the Primorsky Territory for 2002-2023, and the dynamics of prices by type of fish products in the Primorsky Territory for 2013-2023 were studied. It is concluded that the cost of fishery products has been steadily increasing throughout the analyzed period, and ahead of the inflation rate. The most intensive increase in the cost of processed fish, cut, more valuable in terms of nutritional characteristics. To determine the reasons for the constant growth, a correlation and regression analysis of the consumer price index for fishery products with other related indicators was carried out. Multicollinear factors were identified and excluded (consumer price index for food, per capita cash income of the population, fish consumption in the Primorsky Territory, industrial production index for the type of activity “Fishing and fish farming”). According to the criteria used in functional analysis, the multiple regression equation compiled using the remaining factors (inflation level and producer price index for fish products) was found to be untenable. As a result of excluding the factor “inflation level”, which had a less close connection with the performance indicator, a pair correlation model was obtained that describes the dependence of the consumer price index on the producer price index of fish products. The synthesized model is recognized as practically significant, and therefore can be used to obtain quantitative estimates of the consumer price index for fish products when forecasting.

The Decline of Medicare Reimbursement in Clinical Pathology

Abstract Introduction/Objective Access to clinical pathology services nationwide is threatened by the lack of an annual inflationary update for physician reimbursement from the Centers for Medicare & Medicaid Services (CMS). Most recently, the 2024 Medicare Physician Fee Schedule (MPFS) implemented an overall 2.0% reduction in pathology reimbursement. The effects of recent inflationary trends on clinical pathology physician reimbursement are unknown. Thus, our study sought to analyze trends in Medicare reimbursement rates from 2004 to 2024 for clinical pathology procedures. Methods/Case Report The Physician Fee Schedule Look-Up Tool from the CMS was queried for the top 30 CPT codes utilized, and physician reimbursement data extracted. Monetary data was subsequently adjusted for inflation utilizing the Consumer Price Index and reported in 2024 US dollars. The average annual and total percent change in reimbursement were calculated for included procedures. A subset analysis was conducted to assess physician pathology clinical consultation services average annual and total percent change in reimbursement pre- and post- 2022 MPFS Update. The compound annual growth rate (CAGR) was calculated using 2024 and 2000 inflation- adjusted monetary data. Results (if a Case Study enter NA) Prior to adjusting for inflation, the average physician reimbursement decreased by 6.8% from 2004 to 2024 for included clinical pathology CPT codes. After adjusting for inflation, the average physician reimbursement decreased by 44.0% for included CPT codes. The greatest decrease in reimbursement observed from 2004 to 2024 was for flow cytometry interpretation, 2-8 minutes at 69.5% ($114.44 to $34.95) followed by flow cytometry interpretation, 9-15 minutes at 57.8% ($142.77 to $60.25) and flow cytometry interpretation, >16 minutes at 56.6% ($188.05 to $81.55). The average CAGR was -2.86%. Prior to adjusting for inflation, the average physician reimbursement for clinical pathology consultation services pre-2022 decreased by 0.9%, and when adjusted for inflation, decreased by 30.0%. Post-2022 MPFS revision, the average physician reimbursement for clinical pathology consultation services decreased by 3.5%, and when adjusted for inflation, decreased by 12.2%. The average CAGR pre-2022 was -2.0% and post-2022 was -4.3%. Conclusion Medicare physician reimbursement for common clinical pathology procedures is decreasing at an untenable rate annually. It is critical that policymakers understand these trends to ensure continued access to quality clinical pathology care at healthcare institutions.

A REVIEW OF ECONOMIC PROBLEMS FACING THE UAE

This review explores the major economic challenges currently facing the UAE. Monopoly power in key sectors like telecommunications and energy restricts competition, leading to higher consumer prices and less innovation. Economic inequality is rising, driven by stark contrasts between high-earning expatriates and low-wage migrant workers. Migrant labor, essential to the UAE’s economic growth, presents social and economic challenges, including wage disparities and limited labor rights. Housing prices, especially in Dubai, remain a concern due to fluctuations and issues of affordability. Despite efforts to diversify its economy, the UAE’s heavy dependence on oil leaves it vulnerable to global market shifts. Additionally, rapid urbanization has raised significant environmental concerns, including pollution and resource depletion, prompting the need for sustainable development. Together, these interconnected issues present long-term challenges for economic stability and social development in the UAE. KEYWORDS: Vision 2021 - A national agenda to position the UAE as a top global nation by its 50th anniversary in 2021 Vision 2030 - Abu Dhabi’s plan for economic diversification and sustainable urban growth by 2030 COP28 - The UAE-hosted 2023 UN climate summit to discuss global actions for limiting climate change Etisalat (e& UAE) - The UAE’s largest telecom provider, rebranded as e& in 2022 for digital transformation ADNOC - Abu Dhabi National Oil Company, one of the world’s leading energy producers and oil exporters DEWA - Dubai Electricity and Water Authority, responsible for energy and water infrastructure in Dubai Kafala System - A labor sponsorship system that governed foreign workers’ employment and residency in the UAE

Brexit and the London housing market: An empirical contribution

This study aims to analyse the impact of Brexit on London’s housing market, exploring socio-economic and regional disparities. By examining property transaction data from 2012 to 2022, the research seeks to understand how Brexit has influenced real housing prices across different boroughs of London. The methodology involves aggregating transaction data from the Her Majesty (HM) Price Paid database and normalizing prices using the Consumer Price Index (CPI) to obtain real price variations. These data were segmented into three distinct periods: pre-Brexit (2012–2016), post-plebiscite Brexit (2016–2019), and post-implementation Brexit (2020–2022). Spatial analysis was conducted using the software Quantum Geographic Information System (QGIS), transforming point data (postcodes) into polygonal data (wards) for better visualization and comparison. The findings reveal significant socio-economic impacts, with traditionally affluent areas such as Westminster, Kensington, and Chelsea experiencing notable declines in real housing prices. Conversely, certain outer boroughs like Newham and Barnet showed resilience, with positive real price variations despite decreased sales. This geographical disparity underscores the uneven distribution of Brexit’s economic consequences, highlighting the critical role of localized economic policies and development projects in mitigating adverse effects. The results confirm existing literature on the polarization and regional inequalities exacerbated by Brexit while providing new insights into the complex interplay of local and global factors affecting housing markets. The findings emphasize the need for targeted policy interventions to address the diverse challenges posed by Brexit, ensuring both affluent and disadvantaged areas receive adequate support. This research is crucial for informing public policy, urban planning, and housing market strategies in a post-Brexit context, promoting equitable and sustainable development across London.