From short to long term: Dynamic analysis of FDI and net export in global regions

Lakshani, Sanduni; Sandaruwan, Chanuka; Fernando, Chanaka; Vidyapathirana, Gayan; Jayathilaka, Ruwan; Munasinghe, Sumudu

doi:10.1371/journal.pone.0291301

Cited by 3 publications

(1 citation statement)

References 67 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The global trade of ICT goods has been growing, with exports of ICT goods reaching almost US$ 2.8 trillion worldwide in 2021 (UNCTAD, 2022). There also exists a causality and correlation of FDI on net export across different times (Lakshani et al, 2023). This study compared the business strategy across economies using the export of ICT goods and FDI as a case study.…”

Section: Introductionmentioning

confidence: 99%

Business Strategies and Market Adaptation: A Cross-Economic Perspective

Daodu,

Bhaumik

2024

Preprint

View full text Add to dashboard Cite

Business strategies vary across different economies and the dynamics of business environments lead to diverse approaches to strategy development and implementation. Responding to changing environments, customer preferences, and competitive pressures determines how well and sustainable markets or firms adapt. This paper provides an overview of the business strategies and market adaptation across high and low economies with case studies on the export of information and communication technology goods and foreign direct investment in both economies. The finding reveals a significant difference in information and communication technology export and foreign direct investment in different economies. Also, businesses in lower economies can compete in markets and attract foreign investors. Markets in developed economies lean toward standardization compared to their counterpart, while taking advantage of high population, innovation and diverse culture in low economies would ensure market sustainability. However, adopting mitigation strategies in both economies would help navigate bottlenecks in business establishment. JEL: I10, M10, 032

show abstract

Section: Introductionmentioning

confidence: 99%

Business Strategies and Market Adaptation: A Cross-Economic Perspective

Daodu,

Bhaumik

2024

Preprint

View full text Add to dashboard Cite

show abstract

Unveiling Sri Lanka’s brain drain and labour market pressure: A study of macroeconomic factors on migration

Kaluarachchi,

Jayathilaka

2024

PLoS ONE

Self Cite

View full text Add to dashboard Cite

The purpose of this study is to explore the impact of GDP per capita income (GDPPCI), unemployment, higher education (HE), and economic growth (EG) on migration in Sri Lanka. Numerous global and local studies have explored the influence of macroeconomic and socioeconomic factors on migration. In the Sri Lankan context, fewer studies have probed the impact of GDPPCI, unemployment, HE, and EG on migration, particularly concerning brain drain and domestic labour market pressure. An applied research methodology was adopted, utilising annual data from 1986 to 2022. The statistical data were sourced from reports by the Sri Lanka Bureau of Foreign Employment (SLBFE), the Central Bank of Sri Lanka (CBSL), Labor Force Survey Data from the Department of Census and Statistics (LFSDCS), and University Grants Commissions (UGC). This study utilised the Vector Error Correlation model (VECM), Vector Auto-regression (VAR), and Granger Causality test through STATA. The empirical findings of the VAR model highlighted that GDPPCI and EG negatively impact migration, whereas unemployment and HE positively affect migration. The study’s implications demonstrated that GDPPCI, unemployment, HE, and EG were the primary factors influencing the country’s migration decisions. These findings will hopefully inform and guide the Sri Lankan government and policymakers for more effective decision-making.

show abstract

Understanding the interplay of GDP, renewable, and non-renewable energy on carbon emissions: Global wavelet coherence and Granger causality analysis

Caldera,

Ranthilake,

Gunawardana

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

This study examines the causality of Per Capita Gross Domestic Production (PGDP), Renewable Energy Consumption (REC), and Non-Renewable Energy Consumption (NREC) on Carbon dioxide (CO2) emissions at the global level utilising data gathered from 1995 to 2020 across various countries categorised based on income levels as High, Low, Upper Middle and Lower Middle and analysed through wavelet coherence. The findings reveal both bidirectional and unidirectional causality between the variables which have evolved. Globally, a bi-directional relationship is observed with a positive correlation between PGDP and NREC and in contrast, a negative correlation with REC. Furthermore, the analysis highlights varying causalities between CO2 emissions and PGDP, except for high-income and lower-middle-income country categories, all other shows one-way causality in different periods in the short term. Moreover, CO2 and REC, show unidirectional causality throughout the short-term, exceptionally medium & long term have both unidirectional and bidirectional causalities across all country categories with a positive correlation. In contrast, CO2 and NREC depict similar causalities to REC, however, with a negative correlation. A cross-country analysis was performed between CO2 and PGDP, CO2 and REC, and CO2 and NREC using Granger causality which shows mixed relationships. The findings hold significant implications for policymakers, providing valuable insights into the trade-offs between economic growth, energy consumption, and carbon emissions.

show abstract

From short to long term: Dynamic analysis of FDI and net export in global regions

Cited by 3 publications

References 67 publications

Business Strategies and Market Adaptation: A Cross-Economic Perspective

Business Strategies and Market Adaptation: A Cross-Economic Perspective

Unveiling Sri Lanka’s brain drain and labour market pressure: A study of macroeconomic factors on migration

Understanding the interplay of GDP, renewable, and non-renewable energy on carbon emissions: Global wavelet coherence and Granger causality analysis

Contact Info

Product

Resources

About