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The purpose of this review paper is to investigate the consequences of tourism development and economic growth within the Association of Southeast Asian Nations (ASEAN) countries, focusing specifically on Lao PDR post-pandemic. The adverse effect of COVID-19 on tourism and economic sectors has been pervasive across the ASEAN region, with varying degrees of impact. Some of these difficulties are set to continue, though there are positive signs of recovery and of the resilience of the tourism industry. Utilising case material from Lao PDR in Southeast Asia – an area frequently neglected in tourism studies – the paper sheds light on the post-pandemic landscape to address existing gaps in the current literature.

A case study approach was taken in this review paper, utilising secondary data such as media reports, official reports from Tourism Laos and international governing bodies like United Nations and the World Bank to form a viewpoint discussion in the Lao PDR post-pandemic condition.

This paper reveals that contrary to a long period of recovery post-pandemic, there has been a degree of continuity from the pre-pandemic period. Considerable numbers of backpackers have returned to Vang Vieng, along with Vientiane and Luang Prabang. While the pre-pandemic emphasis on mass tourism persists, there is also an increased focus on regional and domestic markets. Laos, with its strategic location and cross-border connections, aims to take advantage of this shift.

The paper highlights a detailed exploration of the Lao tourism industry post-pandemic. It goes beyond the initial expectations in literature of a complete transformation post-pandemic, highlighting the continuity in visitor sources and traditional tourist attractions. It emphasises the Lao PDR strategic position for market reorientation, providing insight into the nation’s adaptive strategies and a nuanced perspective on the evolving landscape of Lao tourism.

This study aims to analyze employer’s engagement to the technical and vocational education and training (TVET) system among ASEAN member states by developing the analytical framework.

Data collection has been made through collaboration between the research team and the ASEAN regional consultants recruited for the project by using the survey questionnaire. ASEAN member states are analyzed based on the framework, which includes the existence of meeting, the existence of law or regulation, the degree of influence of meeting to TVET and the degree of influence of the employers to TVET.

Employers’ engagement can play its significant role as part of monitoring the skills demand of labor market. If the country can build feedback mechanism which circulates skills supply and demand on behalf of individual sectors, it will help reduce the skills gap.

The pace of economic development is and has been more rapid among 10 ASEAN member states. To analyze employer’s engagement to the TVET system among ASEAN member states, developing the analytical framework is imperative. Not only is there insufficient labor market information for each country, but there is also a lack of information linking the labor market and TVET system.

The purpose of this paper is to analyse whether tourism destination competitiveness is associated with human development using contingency tables. Also, by means of a cluster analysis, it seeks to identify homogeneous groups of tourists.

The analysis relies on the Travel and Tourism Development Index and Human Development Index for 2021 and is applied to 81 countries with a high/very high level of human progress and 36 countries with a medium/low level.

The results show that infrastructure is the tourism dimension that has the greatest influence on human development for all countries, while conditions for doing business and sustainability are relevant to residents’ quality of life only in destinations with a high/very high level of progress. Cluster analysis points to India as a tourist destination that is markedly different from the other countries in its human progress, presenting much higher values for price competitiveness, infrastructure and natural and cultural resources.

It analyses the association between each one of the dimensions of tourism development and the Human Development Index.

This paper aims to assess the relationship between energy poverty and the well-being of people using Amartya Sen’s capability approach to development as theoretical underpinning.

The study uses household-level energy access data collected by the Harvard Dataverse in 2015 and 2018. The authors use multidimensional indices to measure energy poverty and well-being. Further, the authors apply quantile regression approach to measure the relationship between energy poverty and well-being.

The study’s findings reveal that energy poverty and well-being are negatively related. India has made progress in reducing energy poverty and improving well-being during the study period. However, progress in reducing energy poverty is largely due to improved access to electricity and improvement in well-being due to income and financial inclusion. Using modern cooking fuel has a greater negative impact on well-being compared to lighting using electricity. Further, households spending a greater proportion of their income on modern energy fuels leads to a lower quality of life as it precludes them from using it for other purposes. The study records wide variations in the observed relationship between energy poverty and well-being across various socioeconomic groups.

This calls for improvement in the production and distribution of modern energy resources, which have substantial welfare implications.

This is the first study to measure the relationship between energy poverty and quality of life using multidimensional indices. The findings of this paper have policy implications for the pricing of energy resources and energy access measures.

This study aims to establish an assessment model to measure big data readiness in the public sector, specifically targeting local governments at the provincial and city/regency levels. Additionally, the study aims to gain valuable insights into the readiness of selected local governments in Indonesia by using the established assessment model.

This study uses a mixed-method approach, using focus group discussions (FGDs), surveys and exploratory factor analysis (EFA) to establish the assessment model. The FGDs involve gathering perspectives on readiness variables from experts in academia, government and practice, whereas the survey collects data from a sample of selected local governments using a questionnaire developed based on the variables obtained in FGDs. The EFA is used on survey data to condense the variables into a smaller set of dimensions or factors. Ultimately, the assessment model is applied to evaluate the level of big data readiness among the selected Indonesian local governments.

FGDs identify 32 essential variables for evaluating the readiness of local governments to adopt big data. Subsequently, EFA reduces this number by five and organizes the remaining variables into four factors: big data strategy, policy and collaboration, infrastructure and human resources and data collection and utilization. The application of the assessment model reveals that the overall readiness for big data in the selected local governments is primarily moderate, with those in the Java cluster displaying higher readiness. In addition, the data collection and utilization factor achieves the highest score among the four factors.

This study offers an assessment model for evaluating big data readiness within local governments by combining perspectives from big data experts in academia, government and practice.

This study examines the nexus of bond market development and economic growth from 2015 to 2022.

The system-generalized method of moments (GMM) is employed on economic growth, government market capitalization, corporate market capitalization, bond yield, interest rate spread, trade openness and investment level.

The findings show that the government bond market, corporate bond capitalization and bond yield positively impact the gross domestic product (GDP). The results equally reveal a causal link between the corporate bond market, bond yield and GDP.

Governments should emphasize creating, developing and sustaining bond markets in the economies of developing countries to boost economic activity by promoting structural transformation. Policymakers should improve the implementation of existing rules and regulations while complementing them with new ones since well-developed bond markets provide alternative sources of financing that make economies financially resilient. Policymakers should encourage the issuance of corporate bonds to enhance the efficiency of the capital markets and mobilize funds for economic growth stimulation. Governments and corporations should diversify their sources of funding into the bond markets since the bond yields are favorable to economic growth.

Earlier studies presented arguable results on the bond market development and economic growth nexus. Several findings indicate a positive link; others give a negative link between bond market development and economic growth. Some show causal directions, while other reveal none. The contradictory results motivate research. This research results contribute to the literature in that the government bond market, corporate bond capitalization and bond yield positively impact the GDP of developing nations.

The study aims to discover the spatial relationship between financial development, energy consumption and economic growth in 11 ASIA countries, using panel data from 1980 to 2016.

The study applies three popular spatial models, namely, (1) spatial error model (SEM), (2) spatial autoregressive model (SAR) and (3) spatial Durbin model (SDM), to explore the direct and spillover effect of financial development and energy consumption on economic growth. Furthermore, a novel test proposed by Juodis et al. (2020) is employed to check the Granger non-causality between each pair of variables.

The empirical outcomes found direct and spillover effects of financial development and energy consumption on economic growth in 11 ASIA countries. Accordingly, an expansion of the financial development in country i is beneficial for the growth of the host country and neighboring countries, and vice versa. However, an increase in energy consumption in country i leads to a decrease in the economic growth of neighboring countries. The test of Granger non-causality indicated a bidirectional causality between financial development and economic growth, and unidirectional causality running from economic growth to energy consumption.

Spillover effects of financial development and energy consumption on growth have largely been ignored in previous studies, especially in emerging countries. Thus, the study enriches the literature and provides some policy implications for ASIA countries.

Spillover effects of financial development and energy consumption on growth have largely been ignored in previous studies, especially in emerging countries. Thus, the study enriches the literature and provides some policy implications for ASIA countries.

Spillover effects of financial development and energy consumption on growth have largely been ignored in previous studies, especially in emerging countries. Thus, the study enriches the literature and provides some policy implications for ASIA countries.

The main aim of this study is to investigate the role of fathers and mothers in the intergenerational educational persistence for sons and daughters under two dimensions that characterize the clusters of countries: redistributive policy and governance.

Data from the Global Database of Intergenerational Mobility (GDIM), hierarchical cluster analysis on principal components and panel regression are used in this study to estimate intergenerational educational correlation and to investigate its determinants related to the parents’ and descendants’ education variables in 93 countries grouped in four clusters. The empirical analysis is differentiated by gender combinations of parents and descendants.

In the clusters of countries characterized by high inequalities and poor governance, our findings show that the role of the fathers is stronger than that of the mothers in educational transmission; fathers and mothers are more influential for the daughters rather than for the sons; parental educational privilege is the main driver of intergenerational educational persistence; there is an inverse U-curve in the association between educational inequality of the parents and educational correlation for the sons. Differently, in the countries characterized by high income, low redistributive conflict and better governance, the role of the mothers is stronger and education mobility for the daughters is higher than that for the sons.

The authors’ results remark on the importance of social welfare policies aimed to expand a meritocratic public education system including schooling transfers for lower social class students and narrowing the gender gap in educational mobility between daughters and sons. Social welfare policies should also be oriented to spread high quality child care systems that help to foster greater women equality in the labor market, because the strength of educational persistence depends on the position of the mother in the economic hierarchy.

The distinctiveness of the paper can be found in the fact that this study investigates the parental role differentiating by gender and coupling hierarchical cluster analysis on principal components with panel regression models. This allows us to have a sample of 93 countries aggregated in four groups defined in two dimensions: redistributive policy and governance. Amongst the determinants of educational transmission, we consider not only education’s years of the parents but also other determinants, such as educational inequality and privilege of the parents. We also identify the effects of investment in human capital and educational inequalities for the descendants on education mobility.

In the current competitive era of industrialization, a significant level of innovation is necessary to meet the growing competition. There are many economic forces that determine the pace of innovation within a country. Among others, this study aims to focus on exploring the relevant role of corruption control (CC) in determining the innovation level.

For empirical analysis, the authors sample the 24 years of data (1996–2019) of Asian economies and use the fully modified ordinary least square (OLS) and dynamic OLS models to check the regression among variables. The selection of both techniques is based upon the empirical suggestions offered by unit root testing and the Johansen cointegration test.

The empirical findings infer the positive and statistically significant role of CC in boosting innovation. Strengthening the corruption-free environment encourages innovation activities within the country. In addition, foreign direct investment has a negative relationship with CC while financial development, economic growth, export volume and government subsidies positively determine the innovation level.

Based on empirical analysis, it is suggested that the policy officials should do more focus on CC to enhance the competitiveness of the country through more innovation.

The empirical analysis robust the findings of existing literature in an alternative data set and offers innovative views regarding the role of other factors in boosting the innovation level.

This study aims to critically examine the implementation of green supply chain management (GSCM) practices in service organizations in Thailand.

This study observed 17 service organizations in the private, government, state and non-profit sectors. The multiple case study method was used, including semi-structured interviews, observations and documentation. The data were analyzed using content and thematic analysis methods. Abductive reasoning was used to explain new findings that do not align with prior theories.

A total of 13 of the 17 cases studied had environmental management systems (EMS). Four were GSCM-proactive and moving toward sustainable sufficiency by involving nearby communities in their service delivery. Although regulations and policies from their head offices were key pressures, leaders with high commitment and eco-awareness achieved outstanding success. Instances of greenwashing and fraud were evident among four non-adopters, one of whom was an environmental regulator.

This study acknowledges that leader commitment and high eco-awareness are the most powerful factors. However, the limited timeframe did not allow a deeper exploration of how to create a socially responsible leader. While the openness of information was evident from the best practitioners, non-adopters did not share any eco-certification or reports. They did not allow the researcher to contact other potential respondents apart from the arranged interview sessions. However, correct data were obtained when the answers were contradictory and one(s) told the truth.

A sustainable and sufficient service supply chain model and new equation were proposed, embracing stakeholders such as society, regulators and employees. Recommended practical strategies include green procurement, reduced utility use and reverse logistics (3Rs and 5Ss).

In the GSCM theory, while the manufacturing sector focuses on economics and the environment, green practices in the service sector address social concerns. This study establishes connections between four concepts: EMS-founded GSCM, leading to repeated use of materials in a circular economy (CE). CE is thus the pathway to reducing consumption and achieving real happiness through a sufficiency economy philosophy (SEP).