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Green labeling and green scapes are generally associated with environmental practices known as eco-labeling. In the hospitality industry, the concept of green scapes and green labeling has been associated through the attraction of customers toward hospitality organization's brand mark. Green practices make a customer conscious and more tangible for a brand or product. Somewhere, green practices have the instinct to throw as an open-up strategy for futurism growth and to build the brand mark at the next market step of the industry. The determination of green practices of a hospitality organization is performed by the environment working employees (Villemereuil & Gaggiotti, 2015). The organization is advantageous only when the in-house environment is attractive. Green scapes are performed only on the criteria of key certification. The viewpoint of this chapter is to fulfill the criteria of green practices (Warren et al., 2008), attracting brand marks in the hospitality organizations of UT regions. This chapter will investigate the perceptions of industrial employees attracting the brand mark of any hospitality organization in UT states. This chapter will highlight the impact of B2B and B2C businesses connecting to the working environment toward attracting the brand mark of hospitality organizations in the UT states region. This chapter will be paying heed to discuss the enhancing effect of B2B businesses in the UT states market of the tourism and hospitality sector. The sample collected for this chapter using closed ended questionnaire from hospitality organization or hotels in UT destination.

This study aims to empirically connect green logistics performance, renewable energy, non-renewable energy, CO₂ emissions and gross domestic product in Vietnam from 2000 to 2022.

Within this study, the author uses innovative tools, specifically a R2 decomposed linkage method, to scrutinize the connections between green logistics, environmental issues and the use of green and dirty energy.

The results highlight the two-way relationship between green logistics and energy security in Vietnam. Green logistics plays various roles in diverse periods, from a net shock transmitter to a net shock receiver in the designed system. Using a dynamic and contemporaneous dynamic linkage method, this study emphasizes the change in the role and the dominance of green logistics and renewable energy consumption. Notably, the unexpected shocks also lead to changes in these variables’ roles.

This paper presents two significant contributions to the existing body of literature. Firstly, as previously emphasized, this research marks a pioneering effort to examine the connection between green logistics, environmental issues and the use of green and dirty energy when it comes to developing nations such as Vietnam. Secondly, this research introduces a novel approach to investigating the interconnectedness of volatility across diverse markets, offering a more suitable method for such analyses. Within this study, the author uses innovative tools, specifically an R2 decomposed linkage method, to scrutinize the connections between green logistics, environmental issues and the use of green and dirty energy. In this analysis, the author examined data from 2000 through 2022. A thorough analysis is presented using the data, exploring the connections between the volatilities resulting from various problems in Vietnam.

The objectives of this study are twofold. Firstly, this study aims to examine the challenges of green public procurement (GPP) involvement among small- and medium-sized enterprises (SMEs) government suppliers. Secondly, it investigates the differences in the perceived challenges between the small- and medium-sized groups of companies.

The study draws on the quantitative method. The questionnaire was distributed to SMEs that supply green goods or services to the government and which are listed in the MyHijau directory. Using convenience sampling, a total of 394 questionnaires were distributed and 126 usable questionnaires were received, representing a response rate of 31.98%. A descriptive analysis of the mean score, standard deviation and mean score ranking was used to analyse the overall results. The t-test analysis was carried out to examine the differences between the small- and medium-sized groups of companies.

All five categories of the barriers, i.e. financial, legal, people, knowledge and organizational challenges, are perceived as the important challenges for SMEs’ involvement in GPP. Of the five categories, “having lack of knowledgeable staff on GPP” under the category of “people” challenge is ranked as the most major barrier. In relation to the differences between the two groups of enterprises (small- and medium-sized), medium enterprises are more affected by two items under the “organization” challenge, i.e. “The company has not targeted suppliers that promote environmentally-friendly products/services” and “The company has not established a clear objective on purchase of green products and services”, as compared to the small-sized enterprises through their GPP involvement.

By understanding the difficulties faced by SMEs in engaging with GPP, various practical measures can be formulated to support the SME businesses in mitigating the challenges faced for their involvement with GPP, which subsequently will lead to the country’s target to reach the sustainable development goals.

This study extends empirical evidence on barriers or challenges that may hinder the involvement in government green procurement, with a specific focus on SME government suppliers.

As an effective tool to promote rational resource allocation and facilitate the development of green management practices such as enterprise digital innovation, the green credit policy has recently gained extensive attention. The purpose of this paper is to analyze the relationship between green credit policies and the digital innovation of enterprises, and to further explore the mechanism of action between them and their boundary conditions.

Based on micro-level data on Chinese firms from 2007 to 2019, this paper constructs a difference-in-differences (DID) model to investigate the impact and intrinsic mechanisms of green credit policies on firms' digital innovation and its boundary conditions, with the help of a quasi-natural experiment, i.e. the Green Credit Guidelines.

Green credit policies inhibit digital innovation and fail to compensate for innovation. The analysis of the mechanism shows that the implementation of green credit policies has a negative impact on digital innovation by increasing the financing constraints faced by firms, and has also a crowding-out effect on R&D investment, resulting in a disincentive to digital innovation. Further analysis reveals that the negative impact of green credit policies on digital innovation is more pronounced in state-owned enterprises, enterprises without financially experienced executives, and in the eastern regions of China.

This study provides empirical evidence to understand the effectiveness and mechanism of influence of green credit policies on enterprise digital innovation, providing also a basis to further improve green credit policies.

Drawing on international experience, the research monitors the effectiveness of the green economy in Uzbekistan and determines the prospects for improving this efficiency in Uzbekistan. The theoretical significance of this research lies in developing a new methodological approach to assessing the green economy's development level. The novelty and uniqueness of the author's approach consist of the consideration of the development of the green economy from the perspective of efficiency, with a systemic consideration of costs and benefits. The successful testing of the author's approach in the case of Uzbekistan in 2023 confirmed its high quality and reliability. The main author's conclusion is that the efficiency of the green economy in Uzbekistan in 2023 is sufficiently high: ecological investments are profitable, which promotes the development of the green economy. To enhance the efficiency of the green economy in Uzbekistan, it is recommended to use a new methodological approach to monitor the green economy from the standpoint of its efficiency and integrate green economic indicators into corporate reporting using green International Financial Reporting Standards (IFRS). The practical significance of the results obtained is expressed in the fact that the results of the conducted monitoring of the efficiency of the green economy in Uzbekistan in 2023, based on international experience, as well as the proposed recommendations for improving the management of the green economy, will help increase its efficiency in Uzbekistan by 2030.

This paper originally proposed the fuzzy option pricing method for green bonds. Based on the requirements of arbitrage equilibrium, this paper draws on Merton's corporate bond option pricing model.

Describing the asset value behavior of green bond issuing enterprises through diffusion-jump processes to reflect the uncertainty brought by carbon emission reduction policies and technologies, using approximation methods to get the analytical pricing formula and then, using a fuzzification technique of Choquet expectation under  λ-additive fuzzy measures after considering fuzzy factors, the paper provides fuzzy intervals for the parity coupon rates of green bonds with different subjective levels for investors.

The paper proposes and argues the classical and fuzzy option pricing methods in turn for both corporate ordinary bonds and green bonds, considering carbon risk or climate risk. It implements the scenario analysis varying with industry emission standards and discusses the sensitiveness of the related key parameters of the option.

The fuzzy option pricing for the green bonds provides the scope of the variable equilibrium values, operational theoretical supports and some policy implications of carbon reduction and promoting green funding.

The logic of introducing the fuzziness of the option pricing for the green bonds lies with considering the existence of fuzzy information about the project supported by the green bond and the subjectivity of investors and it also responds to changes in technological uncertainty and policy uncertainty in the process of “carbon peaking and carbon neutrality.”

In an era marked by heightened geopolitical uncertainties, such as international conflicts and economic instability, the dynamics of energy markets assume paramount importance. Our study delves into this complex backdrop, focusing on the intricate interplay the between traditional and emerging energy sectors.

This study analyzes the interconnections among green financial assets, renewable energy markets, the geopolitical risk index and cryptocurrency carbon emissions from December 19, 2017 to February 15, 2023. We investigate these relationships using a novel time-frequency connectedness approach and machine learning methodology.

Our findings reveal that green energy stocks, except the PBW, exhibit the highest net transmission of volatility, followed by COAL. In contrast, CARBON emerges as the primary net recipient of volatility, followed by fuel energy assets. The frequency decomposition results also indicate that the long-term components serve as the primary source of directional volatility spillover, suggesting that volatility transmission among green stocks and energy assets tends to occur over a more extended period. The SHapley additive exPlanations (SHAP) results show that the green and fuel energy markets are negatively connected with geopolitical risks (GPRs). The results obtained through the SHAP analysis confirm the novel time-varying parameter vector autoregressive (TVP-VAR) frequency connectedness findings. The CARBON and PBW markets consistently experience spillover shocks from other markets in short and long-term horizons. The role of crude oil as a receiver or transmitter of shocks varies over time.

Green financial assets and clean energy play significant roles in the financial markets and reduce geopolitical risk. Our study employs a time-frequency connectedness approach to assess the interconnections among four markets' families: fuel, renewable energy, green stocks and carbon markets. We utilize the novel TVP-VAR approach, which allows for flexibility and enables us to measure net pairwise connectedness in both short and long-term horizons.

Through this study, the aim is to provide reference for the improvement of CEO related theories, the reform of internal governance mechanisms and compensation systems in enterprises, and ultimately contribute to economic and social development and the achievement of dual carbon goals.

In the context of accelerating the implementation of the “dual carbon” goal and promoting sustainable economic and social development, this paper builds a panel data model based on the panel data of 31 provinces in China from 2011 to 2019 to empirically test the impact of CEO stability on green innovation and total factor productivity of enterprises.

The results show that CEO stability has a positive role in promoting enterprise total factor productivity and green innovation and enterprise green innovation also has a positive role in promoting total factor productivity; Heterogeneity testing found that CEO stability has no significant impact on green innovation in state-owned enterprises. Corporate green innovation has a partial mesomeric effect between CEO stability and total factor productivity; The proportion of independent directors has a negative moderating effect on CEO stability and corporate green innovation, while equity incentive has a positive moderating effect on the relationship between CEO stability, corporate total factor productivity and green innovation.

First, it develops the research on CEO stability and its economic consequences. Second, it expands the impact of CEO stability on heterogeneous enterprises. Third, provides new ideas for the reform of internal governance mechanism and salary system of enterprises.

The research objective of this paper is to investigate the direct and indirect impacts of green finance on agricultural carbon total factor productivity (ACTFP) within the framework of the carbon peaking and carbon neutrality (dual carbon) goals, while also identifying the driving factors through an exponential decomposition of ACTFP, aiming to provide policy recommendations to enhance financial support for low-carbon agricultural development.

In this paper, the Global Malmquist Luenberger (GML) Index method was employed to analyze and decompose the ACTFP, while the direct and spillover effects of China’s green finance pilot policy (GFPP) on ACTFP were assessed using the difference-in-differences (DID) method and the spatial differences-in-differences (SDID) method, respectively.

After the implementation of the GFPP, the ACTFP in the pilot area has experienced significant improvement, with the enhancement of technical efficiency serving as the main driving force. In addition, the GFPP exhibits a positive low-carbon spatial spillover effect, indicating it benefits ACTFP in both the pilot and adjacent areas.

Within the framework of the dual carbon goals, the paper highlights agriculture as a significant carbon emitter. ACTFP is assessed by considering the agricultural carbon emission factor as the sole non-desired output, and the impact of the GFPP on ACTFP is investigated through the DID method, thereby providing substantial validation of the hypotheses inferred from the mathematical model. Subsequently, the spillover effects of GFPP on ACTFP are analyzed in conjunction with the spatial econometric model.

This study aims to implement Lean and Green principles within the agribusiness sector, focusing specifically on employing Environmentally Sustainable Value Stream Mapping (Sus-VSM) to assess critical indicators for both present and future states of an orange farm. The objective is to enhance value while simultaneously mitigating environmental impacts.

Employing a mixed-method research design, this study integrates both qualitative and quantitative methodologies. It adapts Sus-VSM and introduces inventory analysis frameworks for application within the agricultural domain, conducting a case study on an orange farm located in Sergipe, Brazil. This research seeks to provide actionable insights into the application of Lean and Green principles in agribusiness and introduces the Overall Lean-Green Effectiveness (OLGE) as an innovative decision-making tool for managers.

The study underscores the efficacy of Sus-VSM in the agricultural sector, albeit noting the necessity for certain process modifications to ensure successful implementation. Upon comparison of the two states, it is observed that the current state incurs 70.55% higher impacts on climate change (0.47 tCO₂eq./ha), whereas the future state could yield a 4.08% increase in aggregated value. Improvements from the current to the future scenario can primarily be achieved through enhanced management of in-field inventory of inputs, given that OLGE in this case study is significantly influenced by efficient inventory management.

The adaptation of VSM for agricultural operations, coupled with the integration of environmental sustainability indicators, represents an innovative strategy for enhancing agricultural processes while minimizing environmental impacts. The proposition of a new Lean and Green indicator, the OLGE, aims to facilitate the interpretation of results and guide improvements.