COVID-19 has presented considerable challenges to fiscal budget allocations in developing countries, significantly affecting decisions regarding number of investments in the transport sector where precise resource allocation is required. Elucidating the long-term relationship between public transport investment and economic growth might enable policymaker to effectively make a decision in regard to those budget allocation. Our paper then utilizes Thailand as a case study to analyze the effects on economic growth in a developing country context. The study employs Cointegration and Vector Error Correction Model (VECM) techniques to account for long-term correlations among explanatory variables during 1991–2019. The statistical findings reveal a significantly positive correlation between transport investment and economic growth by indicating an increase of 0.937 in economic growth for every one-percent increment in transport investment (S.D. = 0.024, p < 0.05). This emphasizes the potential of expanding the transport investment to recover Thailand’s economy. Furthermore, in terms of short-term adjustments, our results indicate that transport investment can significantly mitigate the negative impact of external shocks by 0.98 percent (p < 0.05). These findings assist policymakers in better managing national budget allocations in the post-Covid-19 period, allowing them to estimate the duration of crowding-out effects induced by shocks more effectively.

The low economic growth of Gorontalo province and the smallest PDRB ADHK in Indonesia are the reasons why this research needs to be carried out to look at the influence of the number of poor people, human development index and unemployment on economic growth in the districts/cities of Gorontolo Province, as a result, there is a mismatch between empirical and theoretical, this research was conducted to fill the information gap on how the three variables influence economic growth, This research was conducted to determine the effect of the number of poor people, the human development index. and unemployment on economic growth, research population data on the number of poor people, HDI, Unemployment, Economic growth, the sampling technique of this research is non-probability sampling, where the full sampling method is applied, Gorontalo Province with six regencies/cities is sampled in this research, with data taken in 2012–2021, the data analysis technique uses panel data regression, with three-panel data model estimates namely CEM, FEM, REM and model selection techniques, Chow test, Hausmant Test and Lagrange multiplie equipped with classical assumption tests and T hypothesis tests and F, the research Finding show that the number of poor people in the Regency/City of Gorontalo Province does not have a significant effect on economic growth in Gorontalo Province. Rice, which is the staple food for the people of Gorontalo, apart from rice, the high level of cigarette consumption among the people of Gorontalo, apparently also has an impact. large impact on the increase in the number of poor people, the human development index in the Regency/City of Gorontalo Province has a significant influence on the economic growth of Gorontalo Province where every increase that occurs in the HDI results in an increase in economic growth in Gorontalo Province, thirdly, the open unemployment rate in the Regency/City of Gorontalo Province does not have a significant effect on the economic growth of Gorontalo Province, conclusion of this research is only HDI affects economic growth in Gorontalo.

The purpose of the article is to present the results of analysis of newly industrialized countries in the context of sustainable development. The study took place within the framework of the Kaldor’s structural-economic model of the gross domestic product and the energy flow model, using the socio-economic systems power changes analyzing method. Within the context of the approach, an invariant coordinate system in energy units is considered, the necessary conditions for sustainable development are formulated, and the main parameters for assessing the potential for growth and development are determined. The article focuses on key issues regarding new concepts of sustainable development and methodology for assessing sustainable development using the concept of socioeconomics useful power for the countries of the newly industrialized economy a group of emerging countries that have made in short time period a qualitative transition in socio-economic development. Based on a new definition of sustainable development in energy units, development trends are formulated for the selected countries during 20 years for the period 2000–2019. Results of the study can be used to planning for the transition to sustainable development. The data of the Central Statistical Office of European Union, the World Bank and the United Nations Organization were used for calculations. Initial interpretation of the calculated data has been done for the largest newly industrialized countries Brazil, India and China in terms of the gross domestic product in the period 1990–2019. For comparison, data on USA are presented as countries with advanced economy.

This study explores the marginalization of a poor fishing community in Gwadar, Pakistan. The study provides an insight into how different levels of power, such as hidden, visible/pluralist, and invisible ideological powers, are used in policy arenas to hinder fishers’ access to participatory spaces, decision-making, and resource use. By employing Gaventa’s power cubes analytical model, we analyze fishers’ experiences and prevailing scenarios. Qualitative research methods were used to collect data, including in-depth interviews and participant observation. The finding shows that the interests of the fishing community in fishery policies and ongoing development projects are excluded both with intention and unintentionally. The exclusion of the local fisher community from key spaces brings interruptions and transformations that influence their lives. Due to this, they are induced to join insurgent groups to confront exclusion-based policies in Gwadar, Pakistan.

This research article explores the intricate relationship between cultural impacts and leadership styles in social science management. It emphasizes the importance of cultural-informed decision-making, highlighting its role in fostering inclusive managerial choices. The study also delves into how diverse leadership styles enhance team dynamics and collaboration, contributing to an innovative work environment. While recognizing the potential benefits, challenges like miscommunications are acknowledged, with recommendations for leadership development programs. The research underscores the significance of leadership flexibility in managing diverse teams. In conclusion, the article emphasizes the positive impact of cultural awareness on decision-making, collaboration, and innovation in social science management.