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The aim of this study was to analyze the effects of carbon reduction efforts and preservation efforts on system benefits in the cold chain industry of fresh products.

This study develops an optimal decision game model for the fresh products in the cold chain, incorporating the retailer's preservation effort and the supplier's carbon emission reduction effort. It quantifies the relationship between carbon emission reduction effort, preservation effort and system profit. The model considers parameters like carbon trading price, consumer low-carbon preference and consumer freshness preference, reflecting real-world conditions and market trends. Numerical simulations are conducted by varying these parameters to observe their impact on system profit.

Under the carbon cap-and-trade policy, the profit of the fresh cold chain system is higher than that of the fresh cold chain system without carbon constraints, and the profit of the supplier under decentralized decision-making is increased by nine times in the simulation results. The increase in carbon trading prices can effectively improve the freshness level of fresh products cold chain, carbon emission reduction level and system profit.

This study comprehensively considers the factors of freshness and carbon emission reduction, provides the optimal low-carbon production decision-making reference for the fresh food cold chain and promotes the sustainable development of the fresh food cold chain.

The purpose of this study is to analyze the horizontal expansion of Burayu Town between 1990 and 2020. The study typically acts as a baseline for integrated spatial planning in small- and medium-sized towns, which will help to plan sustainable utilization of land.

Landsat5-TM, Landsat7 ETM+, Landsat5 TM and Landsat8 OLI were used in the study, along with other auxiliary data. The LULC map classifications were generated using the Random Forest Package from the Comprehensive R Archive Network. Post-classification, spatial metrics, and per capita land consumption rate were used to understand the manner and rate of expansion of Burayu Town. Focus group discussions and key informant interviews were also used to validate land use classes through triangulation.

The study found that the built-up area was the most dynamic LULC category (85.1%) as it increased by over 4,000 ha between 1990 and 2020. Furthermore, population increase did not result in density increase as per capita land consumption increased from 0.024 to 0.040 during the same period.

As a result of financial limitations, there were no high-resolution satellite images available, making it challenging to pinpoint the truth as it is on the ground. Including senior citizens in the study region allowed this study to overcome these restrictions and detect every type of land use and cover.

Data on urban growth are useful for planning land uses, estimating growth rates and advising the government on how best to use land. This can be achieved by monitoring and reviewing development plans using satellite imaging data and GIS tools.

The use of Random Forest for image classification and the employment of local knowledge to validate the accuracy of land cover classification is a novel approach to properly customize remote sensing applications.

The study focuses on drug safety regulation capture, reveals the inner mechanism and evolutionary characteristics of drug safety regulation capture and provides suggestions for effective regulation by pharmacovigilance.

The article introduces prospect theory into the game strategy analysis of drug safety events, constructs a benefit perception matrix based on psychological perception and analyzes the risk selection strategies and constraints on stable outcomes for both drug companies and drug regulatory authorities. Moreover, simulation was used to analyze the choice of results of different parameters on the game strategy.

The results found that the system does not have a stable equilibrium strategy under the role of cognitive psychology. The risk transfer coefficient, penalty cost, risk loss, regulatory benefit, regulatory success probability and risk discount coefficient directly acted in the direction of system evolution toward the system stable strategy. There is a critical effect on the behavioral strategies of drug manufacturers and drug supervisors, which exceeds a certain intensity before the behavioral strategies in repeated games tend to stabilize.

In this article, the authors constructed the perceived benefit matrix through the prospect value function to analyze the behavioral evolution game strategies of drug companies and FDA in the regulatory process, and to evaluate the evolution law of each factor.

Food Loss and Waste (FLW), a result of non-sustainable consumption and production, has significant socio-environmental impacts and is addressed in the United Nation's Sustainable Development Goal (SDG) 12.3. To address current research on FLW and SDG 12.3, the authors aim to evidence the current state of knowledge on drivers and barriers to SDG 12.3 through a comprehensive literature review.

The authors employed a multi-step systematic literature review process and retrieved 171 studies addressing SDGs, with 83 explicitly addressing SDG 12.3. The analysis involved a qualitative content analysis of studies retrieved by analyzing key findings and relationships between drivers and barriers to FLW.

While academic research focuses on SDG 12.3 by stressing the necessity of FLW reduction, it fails to explain the drivers and barriers to minimizing FLW. The authors developed a conceptual framework to demonstrate how barriers and drivers can inhibit or stimulate the dynamics that will achieve SDG 12.3 through effective planning and management.

This study addressed the theoretical limitations of existing studies and clarified the critical gaps in the current literature, thereby guiding future researchers in the food supply chain (FSC) context.

The research to date focused on high-income countries, and future empirical studies should focus on consumption patterns, the associated drivers and barriers of food waste in low-income countries and its social impact.

The current study aims to deliver a consolidated view of environmental sustainability in cold supply chain performance systems (CSCPS), incorporating theoretical and empirical analysis for improving environmental standards. For this purpose, this study firstly aims to explore and analyze the various crucial challenging factors for environmental sustainability in the cold supply chain (CSC). Secondly, it discovers the most effective sustainable strategies for improving the environmental sustainability of CSCPS.

The exploration of the crucial challenging factors and the proposed sustainable strategies have been done using a systematic literature review relevant to the sustainable performance of CSC. At the same time, semi-structured brainstorming sessions were conducted with the domain professionals having an industrial and academic background to finalize the strategies. Empirical analysis has been performed using an intuitionistic fuzzy (IF) based hybrid approach of SWARA and COPRAS methods.

The key findings of the study address that “higher energy consumption during refrigerated transportation and storage” is the most crucial challenge for environmental sustainability in CSC. In addition, “managerial refrain to profit decline due to sustainability implementation” is the second most crucial challenge that hinders the adoption of sustainable practices in CSCs. Meanwhile, the governmental attention to motivating organizations for green adoption and implementation of solar energy-driven refrigeration technologies are the two most important discoveries of the study that might help in improving CSC's environmental performance.

From the implications side, the study enriches and extends the current literature content on CSC sustainability. In addition, it offers sound managerial implications by identifying the challenges that create threats among the management for sustainability adoption and suggesting the most suitable sustainable strategies, which may help the management to raise the environmental performance of their CSC. Besides having various important theoretical and managerial implications for the study, contemplation of only environmental sustainability traits as a broader perspective limits the scope of the study.

The study's main contribution is the exploration of the most crucial challenges imparting obstructions in sustainable development and sustainable strategies, which may get the interest of the CSC players, market leaders, and industrial and academic practitioners working in the domain of CSC sustainability. In addition, this study offers structured theoretical and empirical evidence for CSC's environmental sustainability, thus playing a bridging role between theoretical sustainability concepts and its practical implications in CSC industries.

Microribbon with meander type based on giant magnetoimpedance (GMI) effect has become a research hot spot due to their higher sensitivity and spatial resolution. The purpose of this paper is to further optimize the line spacing to improve the performance of meanders for sensor application.

The model of GMI effect of microribbon with meander type is established. The effect of line spacing (Ls) on GMI behavior in meanders is analyzed systematically.

Comparison of theory and experiment indicates that decreasing the line spacing increases the negative mutual inductance and a consequent increase in the GMI effect. The maximum value of the GMI ratio increases from 69% to 91.8% (simulation results) and 16.9% to 51.4% (experimental results) when the line spacing is reduced from 400 to 50 µm. The contribution of line spacing versus line width to the GMI ratio of microribbon with meander type was contrasted. This behavior of the GMI ratio is dominated by the overall negative contribution of the mutual inductance.

This paper explores the effect of line spacing on the GMI ratio of meander type by comparing the simulation results with the experimental results. The superior line spacing is found in the identical sensing area. The findings will contribute to the design of high-performance micropatterned ribbon with meander-type GMI sensors and the establishment of a ribbon-based magnetic-sensitive biosensing system.

This paper aims to analyze the influence of institutional pressures on Indian Food Supply Chain (FSC) actors’ intention to adopt strategies for Sustainable Development Goals (SDGs). By focusing on an agrarian state, this paper explores the prioritizations of SDGs by FSC actors and analyzes the relative impact of institutional pressures in adopting strategies for SDGs.

Quantitative data was collected using questionnaires from 303 respondents engaged in the food industry in an agrarian state in India.

The SDG prioritizations of FSC actors are evidenced using SDG models, thereby suggesting the presence of tradeoffs and synergies within SDGs in FSCs. By using institutional theory, this study defines the impact of sustainability drivers on Indian FSCs, and contrary to previous studies, normative institutional pressures are found not significant – this paper explicates the reasons for this.

Differing stakeholder groups and their prioritizations can result in ranking one SDG over another, thereby resulting in SDG tradeoffs. Such tradeoffs imply that the achievement of one SDG could negate the achievement of another SDG, and therefore, this study explicates the need for a holistic managerial approach to adopting SDGs.

The purpose of this study is to empirically investigate the relationship between executive shareholding, institutional investor shareholding and corporate innovation, and to further explore in depth the impact of executive shareholding on corporate innovation under different industries.

This paper uses the panel data of A-share listed companies in Shanghai and Shenzhen from 2012 to 2020 as the research sample to empirically study the relationship between executive shareholding, institutional investor shareholding and corporate innovation based on multiple linear regression models and panel fixed effects.

The research shows that: on the whole, the impact of executive shareholding on enterprise innovation presents an inverted “U” shape; institutional investors will negatively regulate the impact of executive shareholding on enterprise innovation; the impact of executive shareholding on enterprise innovation will show obvious industry differences in different industries.

The empirical results not only enrich the research on the effects of institutional investors' involvement in corporate governance practice, but also provide targeted experience for promoting enterprise innovation. Due to the limitations of innovation indicators and industry sample selection, it is necessary to be cautious when extending the results to other fields.

Enterprises should fully consider the impact of executive shareholding on innovation and formulate a scientific executive incentive system according to the differences of their industries. The government should be aware of the important role of institutional investors in enterprises, improve the channels and ways for institutional investors to participate in corporate governance, and improve the basic system of capital markets.

On the one hand, this paper empirically tests the regulatory role of institutional investors' shareholding and the relationship between executive shareholding and enterprise innovation, which enriches the research on the effect of institutional investors' involvement in corporate governance practice. On the other hand, the research by industry is more targeted to provide experience for promoting enterprise innovation.

This study investigates the behaviour of family firms, family management and family ownership regarding their socioemotional wealth (Corporate Social Responsibility (CSR)) during the COVID-19 pandemic and according to their slack resources availability.

This study employs a multiple regression analysis to analyse 245 firm-year observations from 2020 to 2021.

Family firms have a negative effect on CSR, as do family management and family ownership. Slack resources (both absorbed and unabsorbed) reduce the negative effect of family firms (and family ownership) on CSR. Unabsorbed slack resources reduce the negative effect of family management on CSR and absorbed slack resources increase the negative effect of family management on CSR. The results are robust with various measurements of slack resources. Extra analyses reveal that family commissioner has no effect on CSR.

To the best of the author’s knowledge, this is the first empirical study to analyse the impact of COVID-19 on the preservation of socioemotional wealth in family firms. This study proves the theoretical argument of prior studies that the preservation of socioemotional wealth in family firms during the COVID-19 pandemic depends on their financial condition. The study also proves that there are different attitudes among family ownership, family management and family firms concerning the use of slack resources for socioemotional wealth preservation that have not been analysed by previous research.

This study aims to inspect the impact of Chief Executive Officers’ (CEOs) education in a “specific field,” such as CEOs with science and engineering backgrounds on firms’ innovation. Based on agency theory, this study also reports how an endogenous factor, i.e. CEOs’ compensation, and an exogenous factor such as intellectual property rights (IPR), moderate the CEOs with a scientific background (CEOSB)-innovation relationship.

This study uses a sample of Chinese nonfinancial firms listed on the Shanghai and Shenzhen Stock Exchanges from 2008 to 2018 by applying the ordinary least squares regression method. To deal with the endogeneity issues, this study also performs a series of additional tests.

The results indicate that the effects of CEOSB on the firm innovation activities are positive and significant. Further, this study finds that CEOs’ compensation and IPR protection positively and significantly moderate the CEOSB-innovation relationship. These outcomes are robust to a series of additional tests.

The results of this study have valuable implications for various stakeholders interested in stimulating innovation. To sum up, the results of this study inculcate these stakeholders that the enhancement of firm innovation is contingent on the appropriate selection of CEOs, effective compensation packages and IPR regulations.

Distinct from the existent studies, the focus of the study is on the perspectives of CEOs’ scientific backgrounds. Further, based on agency theory, this study also reports how CEOs’ compensation and IPR protection moderate the CEOSB-innovation relationship, which has not been tested earlier to our knowledge, especially in the context of an emerging economy like China.