Search Results (57)

The development of renewable energy in the power industry plays a crucial role in mitigating environmental degradation. The renewable energy (RE) consumption system and green certificate trading market are significant in promoting renewable energy adoption, while energy storage technology has advanced substantially to address power supply instability. Against this backdrop, this study employs a Stackelberg game approach to construct a power supply chain model, with generation companies as leaders and retail companies as followers, examining energy storage cost-sharing mechanisms and retailers’ renewable energy investment decisions. Key findings include the following: (1) a higher RE consumption ratio reduces wholesale prices, power stability, electricity demand, and retailers’ renewable investment; (2) when the energy storage cost coefficient exceeds a threshold, higher green certificate prices increase retailers’ renewable investment; (3) beyond the threshold, a higher RE consumption ratio incentivizes retailers to invest in renewables; (4) proportional cost sharing enhances renewable investment by approximately 15% and maximizes supply chain profits. The study provides decision-making insights for power companies and policy references for governments. Full article

This study examines the impact of the Kahramanmaraş Earthquake on four key sectors of Borsa Istanbul: Basic Metal, Insurance, Non-Metallic Mineral Products, and Wholesale and Retail Trade using neutral delayed fractional differential equations. Employing the Chebyshev collocation method, we numerically solved the neutral delayed fractional differential equations with initial conditions scaled by each sector’s log difference standard deviation to accurately reflect market volatility. Fractional orders were derived from the Hurst exponent, and time delays were identified using average mutual information, autocorrelation function, and partial autocorrelation function methods. The results reveal significant changes post-earthquake, including reduced market persistence and increased volatility in the Basic Metal and Insurance sectors, contrasted by enhanced stability in the Non-Metallic Mineral Products sector. Neutral delayed fractional differential equations demonstrated superior performance over traditional models by effectively capturing memory and delay effects. This work underscores the efficacy of neutral delayed fractional differential equations in modeling financial resilience amid external shocks. Full article

Using the China CFPS database, this paper measures the degree of intra-occupational inequality in China with the Pareto coefficient and uses the generalized entropy index to decompose the top income gap by region as well as by industry. The empirical results show that, firstly, the degree of income inequality between occupations in China has increased significantly in recent years. The provinces with a higher degree of income inequality between occupations are mostly located in the more economically developed regions in the central and eastern parts of the country, while the degree of inequality between occupations in the western part is lower. Secondly, the highest-income occupations are mainly in the manufacturing industry, with relatively high levels in the construction industry, the education sector, the wholesale and retail trade, and public administration and social organizations, while the levels in other occupations are relatively low. Lastly, the top income gap primarily originates from within industries. However, the contribution rate of the top income gap between industries is gradually increasing, while the contribution rate of the top income gap within industries is gradually decreasing. Full article

Forecasting using historical time series data has become increasingly important in today’s world. This paper aims to assess the potential for stable positive development within the wholesale and retail trade sector (SK NACE Section G) and the operations of HORTI, Ltd.( Košice, Slovakia), a company within this industry (SK NACE 46.31—wholesale of fruit and vegetables) by predicting three financial indicators: costs, revenues, and earnings before taxes (EBT) (or earnings after taxes (EAT)). We analyze quarterly data from Q1 2009 to Q4 2023 taken from the sector and monthly data from January 2013 to December 2022 for HORTI, Ltd. Through time series analysis, we aim to identify the most suitable model for forecasting the trends in these financial indicators. The study demonstrates that simple legacy forecasting methods, such as exponential smoothing and Box–Jenkins methodology, are sufficient for accurately predicting financial indicators. These models were selected for their simplicity, interpretability, and efficiency in capturing stable trends, and seasonality, especially in sectors with relatively stable financial behavior. The results confirm that traditional Holt–Winters’ and Autoregressive Integrated Moving Average (ARIMA) models can provide reliable forecasts without the need for more complex approaches. While advanced methods, such as GARCH or machine learning, could improve predictions in volatile conditions, the traditional models offer robust, interpretable results that support managerial decision-making. The findings can help managers estimate the financial health of the company and assess risks such as bankruptcy or insolvency, while also acknowledging the limitations of these models in predicting large shifts due to external factors or market disruptions. Full article

Against the backdrop of global climate change and sustainable development, carbon emissions within transnational closed-loop supply chains have become a critical area of research. This paper utilizes a Stackelberg game model to analyze the relationship between a single export manufacturer and an import retailer. The study investigates the optimal solutions of the supply chain model—wholesale price, retail price, sales volume, and profit—across three consumer preference scenarios: no obvious preference, pure green preference, and pure new preference. Furthermore, this paper examines the impact of carbon emissions per unit of product on supply chain decision-making under two scenarios: with and without carbon trading. Carbon trading, which significantly increases unit costs, exerts a profound influence on the strategic decisions of both manufacturers and retailers. In addition, this paper incorporates carbon tariffs and taxes into its analysis, providing a theoretical foundation for governments and policymakers to promote sustainable production and consumption practices. The validity of the model is confirmed through numerical simulations, which reveal that under pure green and pure new preference scenarios, original equipment manufacturers (OEMs) are more inclined to invest in emissions reduction to minimize tariff costs. In contrast, under no obvious preference scenarios, OEMs are more likely to adjust product portfolios to evade carbon tariffs. This research advances the understanding of low-carbon production strategies in transnational supply chains, offering both theoretical insights and practical guidance for balancing economic and environmental objectives. Full article

West Virginia, home to approximately 1.77 million residents, has been grappling with significant economic challenges characterized by persistent poverty and sluggish growth. Despite ongoing development efforts, the state’s Gross State Product (GSP) has seen only a modest increase of 0.1% over the past five years, reaching USD 71.7 billion, while the unemployment rate remains at 4.0%. The annualized employment growth rate of 0.7% lags behind the national average, and only about 54% of West Virginia’s adult population is either employed or actively seeking employment, resulting in one of the lowest labor force participation rates in the nation. In contrast, certain industrial sectors, such as healthcare, social assistance, retail trade, and accommodation and food services, have shown intermittent growth at the county and regional levels. To explore the unique characteristics and significance of these regions in relation to employment growth, this study examines regional employment patterns in West Virginia from 2001 to 2020, focusing on the main regions of the state: Metro Valley, Mid-Ohio Valley, New River/Greenbrier Valley, Mountain Lakes, and Potomac Highlands. Utilizing shift-share and location quotient ($LQ$) analyses, this research identifies the sectors driving regional employment and assesses their performance. Key findings reveal strong sectoral performance in mining, manufacturing, and finance in the Mid-Ohio Valley; wholesale trade, transportation, and utilities in the Metro Valley; agriculture and administrative services in the New River/Greenbrier Valley; agriculture and manufacturing in the Potomac Highlands; and scientific services, healthcare, and utilities in the Mountain Lakes region. Based on these insights, this study recommends targeted policy interventions to address regional disparities, enhance sectors with significant short- and long-term benefits, and foster balanced economic development across the state. Full article

A few recent publications on interrupted time series analysis only conduct preintervention modelling and use it to illustrate postintervention deviation without quantifying the amount lost during the intervention period. Thus, this study aims to illustrate how to estimate and quantify the actual amounts (in South African Rands—ZAR) that the negative impact of the intervention effects of the COVID-19 pandemic had on the South African total monthly wholesale and retail sales using the seasonal autoregressive integrated moving average (SARIMA) with exogenous components (SARIMAX) model. In addition, the SARIMAX model is supplemented with three approaches for interrupted time series fitting (also known as a pulse function covariate vector), which are: (i) trial and error, (ii) quotient of fitted values and actual values, and (iii) a constant value of 1 throughout the intervention period. Model selection and adequacy metrics indicate that fitting a pulse function with a trial-and-error approach produces estimates with the minimum errors on both datasets, so a more accurate loss in revenue in the economy can be approximated. Consequently, using the latter method, the pandemic had an immediate, severe negative impact on wholesale trade sales, lasting for 15 months (from March 2020 to May 2021) and resulted in a loss of ZAR 302,339 million in the economy. Moreover, the retail sales were also negatively affected, but for 8 months (from March 2020 to October 2020), with a 1-month lag or delay, suggesting the series felt the negative effects of the pandemic one month into the intervention period and resulted in a loss of ZAR 87,836 million in the economy. Full article

A scientific understanding of the real estate sector’s role in the national economy is essential for facilitating reasonable and effective regulation and promoting economic development. By analyzing panel data from a sample of 67 countries between 2010 and 2018, we examine the role of the real estate sector in different countries and its determinants. This empirical study yields three main findings. Firstly, there is a strong correlation between the real estate sector and the financial services sector, the construction industry, as well as wholesale and retail trade. Notably, China’s real estate sector exhibits relatively high direct consumption of financial service activities compared to other major countries. Secondly, there is a transition trend in both the input and output of the real estate sector from primary and secondary industries towards service-oriented industries. Lastly, key determinants influencing the economic effects of the real estate sector in a country include economic growth, current national income level, expense structure of the economy, aging population, as well as urbanization speed. Full article

Research on workplace bullying from the perpetrators’ perspective is limited, leading to few interventions tailored to them. This gap stems from insufficient understanding of how organisational conditions and individual dispositions trigger or amplify perpetrator behaviour. To develop effective interventions in preventing bullying, perceived organisational factors were examined. This study, guided by the Job Demands–Resources (JD–R) model and the three-way model of workplace bullying (WB), aims to explore the effects of perceived (im)balances in the task or employee focus, social atmosphere (positive or negative), and hierarchical structure (high or low) in organisations on the incidence of WB, both in terms of perpetrator and target experiences. The research involved 1044 employees from multiple Spanish organisations and sectors: 51.7% in services, 24.6% in education, 14.5% in wholesale and retail trade, and 9.2% in manufacturing. The average age of participants was 35.43 years (SD = 10.9), with a female majority of 61.3%. Using a cross-sectional study design, the experiences of being a target and perpetrator were quantitatively assessed through validated WB target and perpetrator scales. Additionally, the study qualitatively examined employees’ perceptions of their organisational context through free descriptions, using adjectives to depict their views. Correspondence analysis was employed to test the hypotheses, and the results affirmed them. The study found that perceived imbalances in organisational focus, social atmosphere, and hierarchy correlate with higher WB target and perpetrator reports, whereas balanced atmospheres correlate with no WB. This research underscores the significance of balanced organisational contexts in mitigating WB. It highlights a gap in the current literature regarding the broader organisational factors that influence bullying and advocates for a more in-depth understanding of these dynamics. Furthermore, it contributes to the existing body of knowledge by offering a comprehensive and harmonised approach to preventing WB, transcending isolated interventions. Full article

With the appearance of rising environmental challenges, businesses are increasingly recognizing the imperative of adopting sustainable practices. Within this context, the concept of green entrepreneurship has emerged as a pivotal force driving environmentally responsible innovation and economic growth. Employing Green Theory, this study examines the impact of green entrepreneurship (GEN) on business sustainability (BS) through the mediation role of green structural capital (GSC) and the moderation influence of environmental dynamism (ED). Using a quantitative research approach, 443 owners and managers of small and medium-sized enterprises (SMEs) (e.g., wholesale and retail trade, manufacturing, building materials, and scientific, professional, and technical activity enterprises) in Istanbul and Izmir, Turkey, were surveyed using both on site and electronic questionnaires. The data from the study were statistically analyzed using SPSS V.27 and structural equation modeling (SEM). The findings of this study show that green entrepreneurship (GEN) significantly enhances business sustainability (BS) and green structural capital (GSC), with GSC serving as a vital mediator in the GEN-BS relationship; however, environmental dynamism (ED) does negatively moderate the GEN-BS relationship, indicating that GEN’s positive impact on BS is accentuated under lower environmental uncertainties. Additionally, ED’s moderation effect is observed in the GEN-BS relationship via GSC, particularly under conditions of reduced dynamism, underscoring the nuanced role of environmental factors in sustainable entrepreneurship. The findings demonstrate green entrepreneurship and structural capital as key drivers for SME sustainability amidst environmental fluctuations. Full article

The liberalization of energy retail markets empowered consumers with the ability to be part of new emerging entities, such as Citizen Energy Communities. With the increasing penetration of decentralized variable generation, communities have the advantage of incentive local carbon neutrality and sustainability. Local generation reduces transport grid usage and costs to consumers. Furthermore, worldwide legislation incentives energy communities by providing them discounts to other fee parts of the tariff apart from wholesale prices. This paper presents a model of strategic behavior, investment, and trading of energy communities. The model comprises the investment in local renewable generation, the design of competitive tariffs, and strategic bidding on wholesale markets. Consumers have an optimization model that selects the retail tariff that minimizes their costs with energy. These models are tested using data from Portuguese consumers and the Iberian electricity market. Results from the study indicate that inflexible consumers may reduce their costs by 29% by being part of the community. Furthermore, they have the potential to reduce their costs above 50% when using demand–response, adapting themselves to local production and wholesale prices. Full article

Vegetables are important for both nutritional and economic stability and contribute significantly to the agricultural landscape of India. The demand for vegetables is rising, driven by population growth and increased awareness of their benefits. This empirical study highlights the dynamics of agricultural production supply chain networks of capsicum crops in the northwestern Himalayan region, specifically Himachal Pradesh, India. The study employs the Acharya approach to analyse the various marketing channels utilized by farmers in the capsicum supply chain. This methodology sheds light on the economic nuances at each stage and examines marketing channels, costs, margins, price spread and marketing efficiency. Simultaneously, the Garrett ranking method is applied to discern and prioritize constraints faced by farmers. This comprehensive approach ensures a nuanced understanding of the economic and logistical intricacies of capsicum marketing. The analysis of marketing channels reveals five distinct pathways employed by farmers, with Channel-C (Producer–Commission Agent–Retailer–Consumer) standing out as the most dominant, representing 47.25% of the total quantity. Moreover, Channel-A (Producer–Consumer) proves to be the most cost-effective for producers and boasts the highest producer price, while Channel-C, involving commission agents, incurs higher costs. This suggests a preference for intermediaries, emphasizing factors like market access and negotiation skills, whereas Channel-D (Producer–Local Trader–Wholesaler–Retailer–Consumer) has the highest gross marketing margin, emphasizing the trade-offs between efficiency and transaction volume. The results indicate that while Channel-A is the most efficient, it is not the preferred choice due to the lower transaction quantity. Further, the absence of market consultation services, inadequate road infrastructure, high commission charges, nonremunerative prices and untimely availability of vehicles are the major constraints in marketing. The findings of the study call for targeted interventions to create a more robust and farmer-friendly marketing environment for capsicum crops in the region. The study proposes targeted recommendations, emphasizing collaborative efforts between stakeholders, government bodies and farmers. This research contributes to the academic discourse and also offers actionable insights for researchers and policymakers, fostering sustainability, profitability and equity within the capsicum supply chain. Full article

Charcoal is used in Africa for household energy, and the sector involves different actors with specific business strategies. Based on theories on sustainable business models and livelihoods, charcoal traders in five cities in Niger were surveyed about supply chains and strategies. Most charcoal is imported from Nigeria, and smaller quantities come from Benin and Burkina Faso or domestically. Men dominate the trade. Customers value charcoal quality, tree species, packaging, and low prices. Three groups of traders and their business models were identified: small-scale retailers, large-scale retailers, and wholesalers. The charcoal trade is typically combined with trade in other products and is frequently conducted with family members or friends; laborers are employed for loading and unloading. The charcoal business provides a complementary income for the traders’ livelihoods. Most respondents believed that trade would increase in the future; wholesalers expected promising future business opportunities. This study concludes that improvements should focus on quality, better marketing skills, and more sustainable charcoal sourcing. Charcoal use in the Sahel region of Africa should also be studied further to enable the development of effective policies in the West African bioenergy sector. The cross-border charcoal trade creates a need for coordinated policies for a sustainable charcoal sector in the Sahel region. Full article

Investigating the potential impacts of composting and recycling wastes on income distribution is crucial to promote a fairer and more sustainable fresh tomato supply chain (FTSC). Therefore, this study aims to explore the potential of generating extra income from recycling of tomatoes waste generated along the FTSC, and to analyze the impact of that extra income on reducing income inequality among the FTSC actors. Data were collected from 136 greenhouse tomato producers, 60 wholesalers, 18 exporters, 120 domestic retailers, 22 overseas retailers, and 3 recycling facilities in Türkiye. Marketing cost, absolute marketing margin, relative marketing margin and net profit margin were used to economically analyze the FTSCs. Research results showed that the net profit share of the producers decreased with the increasing number of intermediaries. Additionally, revenue generated from composting and recycling of product loss and wastes increased the welfare of greenhouse producers more than the other supply chain actors. When taking into account the revenue generated from composting and recycling of wastes, the net profit of the producers increased by 9.85% at first FTSC, while it increased by 8.29% and 9.21% in the second and third FTSCs, respectively, compared to the prevailing conditions. The retailers were benefitted more from the extra revenue generated via composting and recycling of wastes compared to the wholesalers and exporters. However, the income gain of the domestic retailers and wholesalers from recycling was more when compared to the overseas ones. Close cooperation between producers, wholesalers, exporters, retailers, and recycling facilities is essential for the effective implementation of waste recycling initiatives. Organizing training and education programs focused on waste management can increase the extra income that producers and active intermediaries in FTSCs can generate from composting and recycling of tomato wastes. Offering financial incentives, grants, or subsidies can encourage producers and other actors within the supply chain to adopt waste recycling practices. Continuous research and innovation are crucial in identifying and developing new technologies, processes, and strategies to minimize food loss and waste. Introducing fair-trade practices may help to balance the income distribution among FTSC actors. Full article

This study applies Stackelberg game theory to analyze and compare optimal operational strategies in four supply chain finance scenarios: traditional trade financing (TI), trade financing through the blockchain platform (BI), traditional external financing (TE), and external financing through the blockchain platform (BE). The main findings are as follows: First, the adoption of the blockchain platform reduces the interest rate threshold, making external financing more advantageous for retailers with higher capital constraint. Further, financing through the blockchain platform leads to higher wholesale prices, retail prices, and order quantities compared to traditional financing scenarios. Second, internal trade financing and the use of blockchain technology are preferred over external bank financing. However, conducting external bank financing through the blockchain platform yields greater profit growth for manufacturers and retailers. Accessing the blockchain platform is the optimal strategy for retailers and banks, leading to a favorable “multi-win” situation when the manufacturer’s platform fees are reasonable. Third, the manufacturer’s risk guarantee ratio plays a crucial role in determining the choice of financing mode, particularly when the retailer faces the risk of debt default. This study contributes to the literature by quantifying the impacts of blockchain technology deployment for three aspects that have been overlooked in previous studies: the set-up cost and access fee of the blockchain platform, the service level provided by the platform, and the demand increase resulting from blockchain technology adoption. Full article