Search Results (24)

Ecosystem restoration represents a promising solution for enhancing ecosystem services and environmental sustainability. However, border regions—characterized by ecological fragility and geopolitical complexity—remain underrepresented in ecosystem service and restoration research. To fill this gap, we coupled spatially explicit models (e.g., InVEST and RUSLE) with scenario analysis to quantify the ecosystem service potential that could be achieved in China’s Tibetan borderlands under two interacting agendas: ecological restoration and border-strengthening policies. Restoration feasibility was evaluated through combining local biophysical constraints, economic viability (via restoration-induced carbon gains vs. opportunity costs), operational practicality, and simulated infrastructure expansion. The results showed that per-unit-area ecosystem services in border counties (particularly Medog, Cona, and Zayu) exceed that of interior Tibet by a factor of two to four. Combining these various constraints, approximately 4–17% of the border zone remains cost-effective for grassland or forest restoration. Under low carbon pricing (US$10 t⁻¹ CO₂), the carbon revenue generated through restoration is insufficient to offset the opportunity cost of agricultural production, constituting a major constraint. Habitat quality, soil conservation, and carbon sequestration increase modestly when induced by restoration, but a pronounced carbon–water trade-off emerges. Planned infrastructure reduces restoration benefits only slightly, whereas raising the carbon price to about US$50 t⁻¹ CO₂ substantially expands such benefits. These findings highlight both the opportunities and limits of ecosystem restoration in border regions and point to carbon pricing as the key policy lever for unlocking cost-effective restoration. Full article

Population aging poses significant challenges to the sustainability of pension systems. This study presents an integrated methodological approach that uniquely combines actuarial life-cycle modeling with agent-based simulation to assess the potential of Reverse Mortgage Loans (RMLs) as a dual lever for enhancing retiree welfare and supporting pension system resilience under demographic and financial uncertainty. We explore Reverse Mortgage Loans (RMLs) as a potential financial instrument to support retirees while alleviating pressure on public pensions. Unlike prior research that treats individual decisions or policy outcomes in isolation, our hybrid model explicitly captures feedback loops between household-level behavior and system-wide financial stability. To test our hypothesis that RMLs can improve individual consumption outcomes and bolster systemic solvency, we develop a hybrid model combining actuarial techniques and agent-based simulations, incorporating stochastic housing prices, longevity risk, regulatory capital requirements, and demographic shifts. This dual-framework enables a structured investigation of how micro-level financial decisions propagate through market dynamics, influencing solvency, pricing, and adoption trends. Our central hypothesis is that reverse mortgages, when actuarially calibrated and macroprudentially regulated, enhance individual financial well-being while preserving long-run solvency at the system level. Simulation results indicate that RMLs can improve consumption smoothing, raise expected utility for retirees, and contribute to long-term fiscal sustainability. Moreover, we introduce a dynamic regulatory mechanism that adjusts capital buffers based on evolving market and demographic conditions, enhancing system resilience. Our simulation design supports multi-scenario testing of financial robustness and policy outcomes, providing a transparent tool for stress-testing RML adoption at scale. These findings suggest that, when well-regulated, RMLs can serve as a viable supplement to traditional retirement financing. Rather than offering prescriptive guidance, this framework provides insights to policymakers, financial institutions, and regulators seeking to integrate RMLs into broader pension strategies. Full article

The management of transfer pricing operations is considered from the perspective of modeling financial and accounting processes for various organizations, using agricultural enterprises as an example. It is demonstrated that the execution of transfer pricing operations between related parties—which may function as responsibility centers within an organizational holding structure—serves as a managerial lever influencing the financial income and expenses of individual business units. It is revealed that the developed model of managerial accounting for transfer pricing operations, grounded in tax compliance and the balancing of stakeholder interests, is based on two key aspects: first, to ensure the balanced development of the company’s business units, a list of key performance indicators (KPIs) is developed and integrated into a balanced scorecard (BSC), promoting the sustainable and stable operation and growth of the company; second, with access to this list of KPIs, the manager of each business unit can exert indirect influence over a segment of the final product’s value chain by selecting transfer prices that adhere to the arm’s length principle. The practical application of the proposed model is illustrated using previously formed economic operations from the research base. Full article

The ageing population and rising housing costs in Switzerland are increasing the number of older adults facing financial housing concerns. Older women have particularly limited housing choices because they, on average, earn less, live longer, and are more likely to live alone. This study explores potential levers to alleviate housing-related financial fears among baby boomer women (aged 55–75) living alone in Switzerland, a subject with limited academic coverage. Using regression and random forest models on unique 2023 survey data ($N=371$), we examine the influence of socio-demographic, financial, well-being, and housing factors on fears related to affordability, price increases, and lack of housing supply. Key findings show that ownership status, perceived financial situation, and concerns about maintaining one’s lifestyle significantly drive these fears. The fear of unsuitable housing strongly influences perceived lack of supply. These results highlight the importance of retirement planning and support the consideration of measures such as reverse mortgages, co-housing, subsidies, and rent-controlled units. Full article

Over the past decade, return freight insurance (RFI) and return pickup services (RPSs) have emerged as dominant return service strategies in e-commerce, particularly in China’s competitive online retail market. Despite their prominence, the strategic dynamics guiding e-sellers’ choice between these services remain underexplored. This study develops a game-theoretic model to analyze the equilibrium return strategies of two horizontally competing e-sellers with varying misfit probabilities. By examining four subgames, we identify the conditions under which e-sellers converge on either RFI or RPSs. Our findings revealed that highly similar or highly differentiated products typically favor RFI due to intense price competition or reduced need for service-based competition, while moderately differentiated products lead to RPS adoption as service quality becomes a key competitive lever. Additionally, competitive pressure often drives e-sellers to adopt homogenized return strategies, particularly RPSs, to maintain market position. The equilibrium outcomes are shaped by misfit probability differences, consumer hassle costs, and cost structures, offering actionable insights into optimizing return strategies in competitive e-commerce environments. These findings provide actionable insights into optimizing return service strategies in competitive e-commerce environments and contribute to the growing literature on return policies as a competitive lever in online retail markets. Full article

Stand-alone carbon pricing is still predominantly advanced as the policy instrument of choice for abating greenhouse gas emissions, although it has enjoyed limited support in practice. Against this background, the current paper investigates whether combinations of climate policy measures constitute a promising avenue for reaching zero emissions in the power, transport, buildings, and industry sectors. Adopting a sectoral approach, we review the international literature on instrument mixes and consolidate previous findings according to four widely employed evaluation criteria, namely environmental effectiveness, economic efficiency, social equity, and political feasibility. The performance of mixes along these dimensions is critically assessed by studying the inter-relationships between decarbonisation levers, decarbonisation barriers, and policy instrument characteristics. Our analysis suggests that carefully designed combinations of measures may perform better than stand-alone instruments in many instances, although trade-offs between policy objectives are inevitable. We show evidence that desirable instrument mixes should be tailored to the characteristics of targeted agents and technologies, but argue that some level of carbon pricing typically offers high potential for synergies with complementary measures in all sectors. The study focuses on Switzerland for illustrative purposes, yet the policy implications are far-reaching and drawn from experiences across Europe and North America. Full article

The traditional underwater integrated navigation system is based on an optical fiber gyroscope and Doppler Velocity Log, which is high-precision but also expensive, heavy, bulky and difficult to adapt to the development requirements of AUV swarm, intelligence and miniaturization. This paper proposes a low-cost, light-weight, small-volume and low-computation underwater integrated navigation system based on MEMS IMU/DVL/USBL. First, according to the motion formula of AUV, a five-dimensional state equation of the system was established, whose dimension was far less than that of the traditional. Second, the main source of error was considered. As the velocity observation value of the system, the velocity measured by DVL eliminated the scale error and lever arm error. As the position observation value of the system, the position measured by USBL eliminated the lever arm error. Third, to solve the issue of inconsistent observation frequencies between DVL and USBL, a sequential filter was proposed to update the extended Kalman filter. Finally, through selecting the sensor equipment and conducting two lake experiments with total voyages of 5.02 km and 3.2 km, respectively, the correctness and practicality of the system were confirmed by the results. By comparing the output of the integrated navigation system and the data of RTK GPS, the average position error was 4.12 m, the maximum position error was 8.53 m, the average velocity error was 0.027 m/s and the average yaw error was 1.41°, whose precision is as high as that of an optical fiber gyroscope and Doppler Velocity Log integrated navigation system, but the price is less than half of that. The experimental results show that the proposed underwater integrated navigation system could realize the high-precision and long-term navigation of AUV in the designated area, which had great potential for both military and civilian applications. Full article

The study focuses on the selected aspects of investment measurement and management for the support of financial and economic decision-making of investors in wood-processing sectors. The aim of the study was to analyze the indicators for the structure and cost of capital of furniture and paper/forest branches in Slovakia, quantify the actual expected return on investment based on the selected methodology, and consequently find out the fundamental differences resulting from the specific conditions of given sectors. Methodologically, the study uses procedures for the weighted average cost of capital (WACC), capital asset pricing model (CAPM) for determining the cost of equity, and calculation of the beta coefficient considering the risk premium. The results of the study demonstrated a similar levered beta in both analyzed sectors (1.17 in furniture, 1.20 in paper/forest), but in each sector for a different reason. The expected rate of return is higher in furniture (7.84%) compared to paper/forest products at the level of 6.04%. The findings provide the possibility of comparing the required and expected rate of return on invested capital and making the appropriate long-term investment decisions. Full article

The rise in the world’s demand for fish is increasingly met by aquaculture. However, this sector still shows various criticalities in terms of sustainability of practices, first and foremost, that of feed availability. Nowadays, the use of insect meal represents one of the potential sustainable solutions, but consumption intention of fish fed with insect meal and the factors affecting it have not yet been adequately understood. This study investigates 318 Italian consumers’ intentions to buy fish fed with insect meal using an extended version of the Theory of Planned Behavior, including consumers’ moral attitude and sustainability consciousness as additional constructs. The results of structural equation models show that consumers’ high sustainability consciousness (6.16 on a scale from 1 to 7) does not influence their consumption intention of this product. Also, the two moderating variables involved in the model, i.e., the country of origin and price sensitivity, do not significantly affect consumers’ intentions. Since the analysis demonstrates that, for consumers, insect meal-fed fish conforms to their moral principles and a significant positive attitude toward this practice it could be argued that fish fed with insect meal can match the demand from consumers who feel responsible for their consumer behavior. Although the limited area of investigations and the high education of interviewed do not allow for generalizing of the results, this paper provides pivotal food for thought for companies, policymakers, and academics responding to previous research calls on understanding the role of some constructs of consumption intention and highlighting the levers on which to act to foster the consumption intention of insect-fed fish. Full article

With more than 40% of produced wine crossing borders, wine represents a truly global beverage. Wine export serves as a sales lever, especially for producers where home wine consumption diminishes but the global wine business is highly competitive. The literature tells that in competitive market innovation, customer centrism, and increasing sustainability are key. Wine export offerings need to meet the customer’s desires in the targeted foreign destinations. German wine providers have to catch-up in regard to destination-specific preferences so they can offer adaptation or suffer a competitive disadvantage in sustainability positioning. The main aims of this study were to validate the importance of sustainability in wine import and to explore destination-specific preferences and potential sustainable offer designs on the basis of new, fungus-resistant grape (FRG) wines by an explorative, qualitative approach. Evaluating the key export markets for German wine, the study delved into a performance assessment on how German providers who are marked by small-scale structures and fragmentation are positioned in regard to the primary purchasing factors in global wine competition, in regard to sustainability, and how to overcome performance gaps by tailoring destination-specific export offerings. In order to close a lack of research on destination-oriented sustainable wine offer design and to provide orientation for practitioners, an empirical study tested wine export offerings in the form of four concepts with a strong emphasis on sustainability and FRGs. More than 100 wine experts in the five key countries for German wine exports served to explore country preferences for offer elements and perceived performance of German wine producers. The interviews revealed (a) that sustainability is a must for wine export sales; (b) that German wine producers limp in sustainability reputation; (c) the existence of country-specific preferences allowing exporters to tailor their offerings to the specific needs in their ambition to increase export performance; (d) that German wine producers can potentially claim sustainability on the basis of a fitting concept; (e) FRGs are potentially suited to reposition innovatively and sustainably; (f) a playful exploitation of stereotypes for German suppliers is risky; (g) that an offer concept on sustainability and “made in Germany” characteristics (design, technology, and reliability) is highly regarded potentially allowing to escape price cutting in their key export destinations. Full article

Approximately 42% of the total calves born in New Zealand’s dairy industry are either euthanized on farms or commercially slaughtered as so-called bobby calves within 2 weeks of age. These practices have perceived ethical issues and are considered a waste of resources because these calves could be grown on and processed for beef. Young beef cattle harvested between 8 and 12 months of age would represent a new class of beef production for New Zealand and would allow for a greater number of calves to be utilized for beef production, reducing bobby calf numbers in New Zealand. However, the acceptance of such a system in competition with existing sheep and beef cattle production systems is unknown. Therefore, the current study employed an agent-based model (ABM) developed for dairy-origin beef cattle production systems to understand price levers that might influence the acceptance of young beef production systems on sheep and beef cattle farms in New Zealand. The agents of the model were the rearer, finisher, and processor. Rearers bought in 4-days old dairy-origin calves and weaned them at approximately 100 kg live weight before selling them to finishers. Finishers managed the young beef cattle until they were between 8 and 12 months of age in contrast to 20 to 30 months for traditional beef cattle. Processing young beef cattle in existing beef production systems without any price premium only led to an additional 5% of cattle being utilized compared to the traditional beef cattle production system in New Zealand. This increased another 2% when both weaner cattle and young beef were sold at a price premium of 10%. In this scenario, Holstein Friesian young bull contributed more than 65% of total young beef cattle. Further premium prices for young beef cattle production systems increased the proportion of young beef cattle (mainly as young bull beef), however, there was a decrease in the total number of dairy-origin cattle processed, for the given feed supply, compared to the 10% premium price. Further studies are required to identify price levers and other alternative young beef production systems to increase the number of young beef cattle as well the total number of dairy-origin beef cattle for beef on sheep and beef cattle farms. Some potential options for investigation are meat quality, retailer and consumer perspectives, and whether dairy farmers may have to pay calf rearers to utilize calves with lower growth potential. Full article

We studied the ability to reduce the supply–demand mismatch of a periodic Make-to-Order (MTO) production system using safety stocks with marketing managing demand using lead-time guarantee and price as levers. The aim is to understand the interdependencies between lead-time guarantee, price, and safety stocks. We modeled the problem as an unconstrained stochastic non-linear programming problem, maximizing the expected profit per-unit time and obtaining a closed-form solution. The price is a function of the lead-time guarantee. Based on the sensitivity analysis of problem parameters, we found that lead-time competitiveness is adversely affected by a low safety stock level, MTO production rate (i.e., low supply capability), and product price (i.e., high demand volume). A shorter lead-time requires higher safety stock through reduced product and inventory holding costs. A higher price for a shorter lead-time in a lead-time-sensitive market reduces the safety stock. In a price-sensitive market, lead-time is decreased instead of the price. Demand variation results in longer lead-time and higher safety stock (provided the holding cost is low). For a higher price premium, price increases and lead-time decrease (safety stock increases). The integrated operation-marketing model captures the complex trade-offs not seen in a hierarchical model to produce better solutions. Full article

Municipal solid waste charging schemes can be powerful drivers for local policy efforts in reaching the goals of the 2030 Agenda for Sustainable Development adopted by all United Nations Member States in 2015. This paper aims to provide empirical evidence on an economic lever to meet SDG 11, Target 11.6 and SDG 12, Target 12.5 by applying the polluter-pays principle to waste management that also depends on user engagement through modern incentivizing charging systems. Unit pricing schemes in municipal solid waste management are often associated with a higher percentage of separated waste, less per capita waste production, and reduced service costs. We checked whether unit pricing schemes and the percentage of the sorted waste collection were correlated, assessed whether there is an impact on per capita waste generation, examined the impact on the total cost of management, and explored how specific phases of waste management were affected. The analysis was based on an empirical sample of 1,636 municipalities, of which 506 had unit pricing schemes in place. Our results confirm that unit pricing schemes can be associated with a higher percentage of sorted waste collection and less per capita waste generation. The impact of unit pricing on the total cost of management was not found to be significant, probably due to different impacts on specific services and phases of waste management. The policy implications are as follows: it is suggested that public administrators put data-driven policy targets into government programs that are applied at an operational level by competent municipal civil servants and codified into single programming documents for contracting waste management utilities according to SDG 11 Target 11.6 and SDG 12 Target 12.5. Full article

Irrigated durum wheat is a staple food crop that occupies important areas in Tunisia. However, its performance remains weak, with an average national yield of no more than 3.6 tons ha⁻¹ and low profitability. Overall, on-farm wheat production will need to increase considerably to meet future demand and ensure minimum profitability for farmers. To this end, this study aims to identify the main levers for improving durum wheat crop performance. For this purpose, we have developed a regional bio-economic model by linking a biophysical model (CROPSYST) with an economic optimization model (MORBIT). CROPSYST was used to establish a database with a view to determining the relationships between farming practices, durum wheat yields, and water productivity within a context of high climate variability. The database was then integrated into a MORBIT model that analyzed the effects of farming practices on durum wheat performance and regional profits. Three scenarios related to irrigation control and the increase in durum wheat prices were developed. The results showed that reconciling irrigation practices with economic policies is the best alternative to improve durum wheat performance and increase profits at a regional level. Full article

Increasing demand for rail transportation results in denser and more high-speed usage of the existing railway network, making new and more advanced vehicle safety systems necessary. Furthermore, high traveling speeds and the large weights of trains lead to long braking distances—all of which necessitates a Long-Range Obstacle Detection (LROD) system, capable of detecting humans and other objects more than 1000 m in advance. According to current research, only a few sensor modalities are capable of reaching this far and recording sufficiently accurate data to distinguish individual objects. The limitation of these sensors, such as a 1D-Light Detection and Ranging (LiDAR), is however a very narrow Field of View (FoV), making it necessary to use high-precision means of orienting to target them at possible areas of interest. To close this research gap, this paper presents a high-precision pointing mechanism, for the use in a future novel railway obstacle detection system, capable of targeting a 1D-LiDAR at humans or objects at the required distance. This approach addresses the challenges of a low target price, restricted access to high-precision machinery and equipment as well as unique requirements of our target application. By combining established elements from 3D printers and Computer Numerical Control (CNC) machines with a double-hinged lever system, simple and low-cost components are capable of precisely orienting an arbitrary sensor platform. The system’s actual pointing accuracy has been evaluated using a controlled, in-door, long-range experiment. The device was able to demonstrate a precision of 6.179 mdeg, which is at the limit of the measurable precision of the designed experiment. Full article