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Introduction: The bioeconomy is a cross-sectoral domain set out in the dedicated European Commission Strategy 2018, which includes those sectors and systems that are based on biological resources.

Purpose: An understanding of the bioeconomy’s significance within the EU and the variations in its performance across Member States (MS), thereby informing policymakers and supporting strategic planning efforts to foster sustainable economic growth and resource utilisation within the bioeconomy.

Methodology: Quantitative analysis: the value added at factor cost (VAFC), turnover (TRN), and the number of employed persons (NEP). The research used the database of the Joint Research Centre of the European Commission (JRC). The period evaluated was 2008–2021 for the 27 EU MS.

Findings: The bioeconomy contributes to the generation of community GDP by approximately 5%, and the sectoral analysis shows that agriculture, hunting, and related services and the food industry are the most relevant from an economic and social point of view. Of the EU MS, those in the Western part of the continent have the most significant contribution to the Community bioeconomy for the bioeconomy component sectors that are focused on value creation, efficient use of resources, and environmentally friendly activities.

Limitation: The EU’s lack of harmonised statistical data causes difficulties making detailed comparisons between the countries with developed bioeconomies.

Further Research: Advanced research could help strengthen the scientific basis for creating national bioeconomy strategies. Other indicators, such as indicators related to agricultural practices in an ecological system, could bring new and valuable insights.

This study attempts to examine the relationship between the banking sector and stock market development in India.

To analyze the relationship between banks and stock market development, the ratio of stock market capitalization to GDP is proxied by stock market development. The determinants of the stock market development are used for analysis namely domestic credit to the private sector as a ratio of GDP is used as a proxy for the development of banks, saving rate, per capita real GDP, and inflation. The autoregressive distributed lag (ARDL)-Bounds testing approach is used for the analysis. The paper also used the unrestricted error correction model and CUSUM and CUSUM square test to check the stability of the model.

The ARDL bounds test found that there is a long-run relationship between stock market development and bank-centered financial development. The results also revealed that the stock market is positively influenced by the development of banks, savings, and per capita real GDP in the short-run as well as long-run.

This paper suggests that improvement of banking sector plays an important role to increase liquidity of the capital market development in India. This paper also suggests that the economic growth and savings rate have positive impact to induce the capital market growth in both short run and long run.

The study has investigated the empirical relationship between the banking sector and the stock market development in a different methodological approach by using an ARDL model which is appropriate for a small sample size. There are few studies related to bank-centered financial development and stock market development in the context of India.

The recent meeting of G-20 world leaders, held in New Delhi, in 2023, highlighted that the physical effect of climate change has considerable macro-economic costs at the national and global levels and they have also pledged to accelerate the clean, sustainable and inclusive energy transition along a variety of pathways. Climate change could pose various emerging risks to the firm’s operational and financial activities, specifically for those which are belonging to the energy sector. Thus, this study aims to investigate the impact of climate risks on the financial performance of select energy companies from G-20 countries.

The study considered 48 energy companies from G-20 countries as the sample for the period of 2017 to 2021. To measure the climate change-related physical risks, the study has considered the ND-GAIN climate vulnerability score and the firm’s financial performance has been measured by return on assets, return on equity, return on capital used and price-to-book ratio. To examine the impact of climate risks on the financial performance of the sample companies, the authors have used pooled ordinary least squares (OLS) and fixed/random effect regression analysis and required data diagnosis tests are also performed.

The empirical results suggested that climate risks negatively impacted the financial performance of the sample companies. The market performances of the firms are also being impacted by the physical climate change. The results of panel data regression analysis also confirmed the robustness of the empirical results derived from the pooled OLS analysis suggesting that firms that operated in a less climate-risky country, financially performed better than the firms that operated in a more climate-risky country.

The paper has significant practical implications like it could be helpful for the policymakers, investors, suppliers, researchers and other stakeholders in developing deeper insights about the impact of climate risks on the energy sectors from an international perspective. This study may also help the policymakers in developing policies for the management of climate risk for the energy sector.

This study adds insights to the existing literature in the area of climate risks and firm’s financial performance. Moreover, this may be the first study that attempts to evaluate the impact of climate risks on the financial performance of select energy companies from the G-20’s perspective.

This study aims to analyse the potential impacts of free trade agreement (FTA) between Indonesia and Organisation of Islamic Cooperation (OIC) countries by eliminating import tariffs in the halal food sector on welfare, gross domestic product (GDP) and trade balance. OIC countries as the second-largest organisation after the United Nations are the potential markets for the halal food industry.

This study used the Global Trade Analysis Project database version 10 by adopting a computable general equilibrium (CGE) model for two scenarios. The first scenario stated that Indonesia should conduct an FTA with ten potential OIC countries as export destination, while the second one stated that it should be conducted with all OIC countries.

Indonesia is predicted to get the highest increase in welfare by making an FTA with all OIC countries. Scenario 2 showed that Indonesia had much higher changes in real GDP with a positive change of 0.0018%. Even though it is projected to experience a surplus in the trade balance in both scenarios, Indonesia is predicted to experience a decline in exports for the particular halal food sector. The findings contribute some new insights to the existing literature, revealing an alignment between economic integration and the concept of international trade in Islam.

The limitation of this study is the available data that cannot describe the population of all OIC countries. Only 31 countries out of a total of 56 OIC countries can be used in research. The scope of research is limited to analysing FTAs between Indonesia and OIC countries in the form of abolishing import tariffs and does not include non-tariff barrier issues such as halal certification.

The preferential trade agreement is considered relevant as Indonesia’s initial commitment to conduct a bilateral trade with ten selected OIC countries. The Indonesia Government, however, still needs to make several mitigation efforts in various sectors experiencing losses as a result of economic integration, such as by creating a more conducive business climate, supporting the sources of capital, facilitating bureaucratic affairs, as well as providing tax incentives.

This paper contributes to the literature by focusing on the critical aspects of the FTA’s impacts on halal food sectors by optimizing the reduction of import tariffs of OIC countries. Different from previous studies, this study applied a static CGE model to examine the impacts of FTA on macroeconomic indicators.

The influence of internal and external factors impacting the duration of the concession period in Public-Private Partnerships (PPPs) is essential for project outcomes considering its implications on operational expenses, payback periods in project finance and long-term uncertainties. In this context, this research analyzes a set of key factors that may influence the duration of the concession period of PPP transport projects.

A triangulation approach combining both quantitative and qualitative methods was employed. This mixed-method approach incorporates an in-depth literature review to identify the factors that potentially affect the public sector decision on concession periods within transportation PPP programs. The information from all the transportation PPP projects (roads, ports, rails and airports) procured in 58 countries in Europe, Africa and Asia was retrieved from public databases, official records in each of the countries and academic papers. The information retrieved from each of the identified parameters was further examined through analysis of variance and linear regression to test the hypotheses.

Results demonstrate that user-pay PPPs should restrict minimum concession periods to prevent excessive user tariffs, which could result in societal resistance and potential long-term traffic underperformance. Additionally, PPP market’s willingness to accept longer concession periods depends on country’s risk profile and regulatory framework transparency. Conversely, high-risk countries may seek longer concession periods by utilizing payment mechanisms that allocate demand risk to the public sector.

This study provides relevant insights for better negotiating the concession duration to increase the value for money associated with the PPP project.

The present study aims to compare the effect of international paid remittances on financial development in three Gulf Cooperation Council (GCC) countries from 1985 to 2020.

The study applied the bound cointegration technique and the autoregressive distributed lag (ARDL) method for long- and short-run estimations as well as diagnostic tests to increase robustness.

The ARDL long-run results showed that international paid remittances had a significant negative effect on financial development in Oman and Saudi Arabia but an insignificant negative effect in Bahrain. The error correction model for the short run of the ARDL slowdown model showed that international paid remittances had a significant positive effect on financial development in Oman, Bahrain, and Saudi Arabia.

Few studies have examined remittance outflows from GCC countries, which are enriched by oil wealth and located in one of the most stable geographical areas in the world. The findings from this study can help policymakers understand how to enable remittances and investments in order to establish regulations that will preserve remittance inflows and meet target services.

Climate change, driven by global warming, poses a significant threat to humanity and disrupts the ecological balance. In Europe, concentrations of air pollutants remain very high, and problems related to air quality and the acceleration of the phenomenon of global warming persist. As a result, carbon taxation has emerged as a key strategy to mitigate climate change. In Romania, environmental taxes are an important instrument of environmental policy as an economic instrument for environmental protection and natural resource management. Using 1990–2021 time series data and an Autoregressive Distributed Lag (ARDL) Bounds cointegration for long-run analysis and the Toda–Yamamoto test for causality analysis, we investigated whether environmental taxes, renewable energy consumption, urbanization and economic growth significantly impact CO₂ emissions in Romania.

This paper differs from the assessment of the Environmental Kuznets Curve (EKC) hypothesis (Grossman and Krueger 1991) and instead aims to determine the impact of environmental taxes, renewable energy consumption, per capita GDP and urbanization on CO₂ emissions in Romania. The study investigates both short- and long-term effects, as well as Toda–Yamamoto causality linkages (Toda and Yamamoto 1995) between these variables. We adopt an ARDL estimation technique with Bound cointegration test and error correction models (Pesaran et al., 2001) to examine the short- and long-term effects.

The findings revealed that environmental taxes positively and significantly reduce CO₂ emissions, while urbanization induces CO₂ emissions, in the long run. Moreover, in the short run, environmental taxes and renewable energy consumption significantly reduce CO₂ emissions while per capita GDP and urbanization significantly increase CO₂ emissions. A unidirectional causality exists between renewable energy consumption and CO₂ emissions. Thus, to realize its 34% target of renewable energy consumption in 2030, Romania should prioritize the implementation of the Casa Verde Plus program and enforce sustainable urban planning to meet near-zero energy standards. Consequently, the government should continue to enforce carbon taxes to promote environmental sustainability.

Empirical evidence supports the cointegration relationship between environmental taxes and CO₂ emissions, with carbon taxes effectively reducing CO₂ emissions and improving environmental quality (Allan et al., 2014; Polat and Polat, 2018; Kiuila et al., 2019, etc.). While existing research (Floros and Vlachou, 2005; Wissema and Dellink, 2007; Aydin and Esen, 2018; Lin and Li, 2011) primarily focuses on country-specific or regional analyses, limited research has been conducted on the impact of carbon taxation on CO₂ emissions in Romania. However, to the best of our knowledge, limited research on this phenomenon in Romania exists in response to recommendations for climate change mitigation. Furthermore, urbanization has significantly contributed to rising atmospheric carbon levels and subsequent global warming and climate change (Woldu, 2021). As economic growth, particularly in countries like Romania, drives urbanization, it leads to increased energy demand, expanding urban areas and mounting environmental concerns. This process involves industrial restructuring, and the development of new infrastructure, all of which exert pressure on energy consumption and CO₂ emissions (Niu and Lekse, 2018). While economic growth is a primary objective, industrialization and urbanization inevitably generate unintended consequences, including CO₂ emissions. However, limited research exists on the impact of urbanization patterns on CO₂ emissions in Romania. This study investigates the dynamic causal relationships among urbanization, per capita GDP, carbon taxes, renewable energy consumption and CO₂ emissions, considering both short-run and long-run effects in Romania.

This paper aims to empirically examine the influence of macroeconomic and socioeconomic factors on improving financial inclusion in India, with a specific focus on two distinct indicators of financial inclusion.

This study has used a time-series data set covering the years 1996 to 2022, using a nonlinear autoregressive distributed lag methodology. This approach allows for the examination of both short- and long-run effects of key macroeconomic and socio-economic indicators, including GDP per capita growth, remittance inflows and the income share held by the lowest 20% of the population on the growth of two financial inclusion indicators: the number of commercial bank branches and ATMs per 100,000 adults.

Model-1 investigates how commercial bank branch growth affects financial inclusion. Positive remittance inflow growth and a rise in the income share of the bottom 20% both lead to increased financial inclusion in both the short and long term, with the effects being more pronounced in the long run. Conversely, negative effects of remittance inflow growth and a decline in GDP per capita growth lead to reduced financial inclusion, primarily affecting the long run. Focusing on ATM growth, Model-2 reveals that positive remittance inflow growth has the strongest impact on financial inclusion in the short term. While income share growth for the bottom 20% and GDP growth also positively influence financial inclusion, their effects become significant only in the long run. Conversely, a decline in GDP per capita growth hinders financial inclusion, primarily affecting the short run.

This study fills a gap in research on macroeconomic and socioeconomic factors influencing financial inclusion in India by examining the impact of GDP per capita growth, remittance inflows and the income share held by the lowest 20% of the population, an area relatively unexplored in the Indian context. Second, the study provides comprehensive distinct results for different financial inclusion indicators, offering valuable insights for policymakers. These findings are particularly relevant for policymakers working toward Sustainable Development Goal 8.10.1, as they can use the results to tailor policies that align with SDG objectives. Additionally, policymakers in other developing nations can benefit from this study’s findings to enhance financial inclusion in their respective countries.

This paper analyses the determinants of key inputs for the explicit discounted cash flow (DCF) or the implicit capitalisation models, namely the discount rates and the capitalisation rates. We also study the factors affecting the implied growth rate of the net operating income (NOI).

We make use of a rich database for the commercial real estate market in the US that covers a long time period (2002–2024) and over 60 metropolitan markets. Given that the figures are appraisal-based, we use a common desmoothing approach and analyse the determinants of discount rates, capitalisation rates and growth rates using regression analysis.

On average, the discount rate in gateway markets is 89 basis points lower than in non-gateway markets. A similar difference is observed for capitalisation rates (93 basis points). Inflation has an immediate negative impact on capitalisation and discount rates due to the delayed adjustment of the rental income, but the effect turns positive over time. With a lag, real GDP growth reduces both rates, as expectations of economic growth reduce risk premia. Real interest rates consistently increase capitalisation, discount and growth rates through higher borrowing costs and portfolio reallocations.

The investment method to valuation is widely used in practice. By shedding additional light on the determinants of key inputs when using the explicit DCF of implicit capitalisation models, namely the discount and capitalisation rates, the results of this study should provide important information to appraisers and policymakers.

This paper provides a comprehensive analysis of the determinants of key inputs needed when appraising a commercial real estate property with an income approach. In particular, it not only explores the impacts of macroeconomic variables on discount and capitalisation rates but also those of various types of properties. As such, the results of this study should have important implications in practice.

This article examines the influence of market opportunity, risk, and distance on the choice of destination country for Mexican franchises.

The research hypotheses are developed under the theoretical approaches of institutional theory, agency theory, and transaction costs theory and were contrasted on the data obtained from 52 Mexican international franchisors operating in 37 countries as of 2016. This study uses linear regression with ordinary minimums using the STATA 13.1 software.

The results reveal that a larger market size, a greater level of economic freedom, and a smaller geographic distance are determining factors in the choice of destination country. No statistical significance was found in the variables GDP per capita, level of democracy and cultural distance.

This research contributes to the theoretical and practical field. On the theoretical side, this study integrates institutional theory, agency theory, and transaction cost theory to evaluate the factors of the destination country that influence the internationalization process of the franchise. Another contribution of this study is to apply theories and models of developed economies to the process of internationalization of franchises in an emerging economy. Additionally, this study is based on a model that considers the distance, opportunities and risks that are considered by Mexican franchisors in the selection of the international markets in which they maintain operations. This study contains important practical implications that can serve as relevant information for decision-making in the franchise sector and its internationalization. This data is valuable for new models of Mexican franchises that decide to start their internationalization process.