Search Results (1,785)

Forests provide goods and services while maintaining ecological security. However, the market does not adequately reflect their economic benefits, posing a significant challenge to the Payments for Forest Ecosystem Services (PFES). The involvement of multiple stakeholders with varying responsibilities and interests complicates collaboration and hinders effective governance. This study proposes an integrated approach using stakeholder analysis, social network analysis, and evolutionary game analysis to explore the collaborative governance of stakeholders in PFES. Through field surveys, the study empirically investigates PFES in China, demonstrating the effectiveness of this integrated approach. The results indicate the following: (i) Stakeholders are classified into three categories; the key stakeholders include the central and local governments, forest managers, and paying users. (ii) Stakeholders still need to strengthen collaboration. Local governments, forest managers, their employees, and communities exert widespread influence; paying users and research institutions have high efficiency in resource sharing. (iii) Five evolutionarily stable strategies are observed at different stages. Government intervention is crucial for changing the stagnant state. Benefits and government incentives have a positive impact on stakeholder collaborative governance. The research findings offer theoretical insights to enhance stakeholder collaboration and promote the development of the PFES. Key strategies include addressing key stakeholders’ needs, diversifying incentives, and establishing an accessible information platform. Full article

Although the Indonesian government has conducted various interventions to escalate the uptake of rooftop PV in Indonesian households, adoption has still been sluggish. Few studies have been conducted to explore the issue, and these studies are scattered. The paper aims to assess generalizations of the previous studies regarding adopters’ and non-adopters’ characteristics of Indonesian households and their perceptions of rooftop PV attributes using meta-analysis. The findings show that statistically significant differences between the two studies in terms of socio-demographic factors, problem awareness, innovativeness, and perceived qualities of rooftop photovoltaics exist. Despite the differences, the adopters of both studies perceived equally that using renewable energy was important, that rooftop photovoltaics were environmentally friendly, and that they were generally aware of environmental problems. It appears that the non-adopters sample drawn from stratified random sampling demonstrates a similar distribution specified by Diffusion of Innovation. Furthermore, the non-adopters in the two research show a comparable belief regarding the significance of putting renewable energy into practice. Due to inconclusive patterns, an empirical investigation that sufficiently represents both the rooftop PV adopters and non-adopters in Indonesian households is suggested. Other potential future research are also discussed. Full article

In the context of pursuing high-quality development, the coupling and coordination of the ecosystem and economy has become the fundamental goal and inevitable choice for achieving the sustainable development of urban agglomerations. Based on remote sensing and statistical data for the Pearl River Delta (PRD) region from 2005 to 2020, in this paper, we construct an index system of the ecological and economic levels to assess the ecosystem service value (ESV). We use the equivalent factor method, entropy method, coupling coordination model, and relative development model to systematically grasp the spatial pattern of the levels of the two variables, analyse and evaluate their spatial and temporal coupling and coordination characteristics, and test the factors influencing their coupling and coordination using the geographical and temporal weighted regression (GTWR) model. The results show that ① the ESV in the PRD exhibited a fluctuating decreasing trend, while the level of the economy exhibited a fluctuating increasing trend; ② the coordination degree of the ESV and economy in the PRD exhibited a fluctuating increasing trend, and the region began to enter the basic coordination period in 2007; ③ in terms of the spatial distribution of the coordination degree, there was generally a circular pattern, with the Pearl River Estuary cities as the core and a decrease in the value towards the periphery; ④ the coordinated development model is divided into balanced development, economic guidance, and ESV guidance, among which balanced development is the major type; ⑤ the results of the GTWR reveal that the influencing factors exhibited significant spatial–temporal heterogeneity. Government intervention and openness were the dominant factors affecting the coordination, and the normalised difference vegetation index was the main negative influencing factor. Full article

World’s Best Practice management of locusts and grasshoppers requires accurate forecasting that helps determine where and when surveys are preferentially conducted so that infestations can be found quickly as part of ensuring early intervention treatments. Using survey data downloaded directly into a Geographic Information System (GIS), as well as rainfall and other factors important in the population dynamics of the species concerned, models within the GIS provide forecasts of future developments. The GIS provides forecasts of likely events and is used by locust and grasshopper experts to make decisions; that is, the forecasting is part of a Decision Support System for improved locust and grasshopper management. Surveys are generally conducted by ground vehicles, but for locusts, surveys by aircraft can be an important way to rapidly find bands. In Australia, dense bands can often be seen from an aircraft flying overhead at a height of 300 m, and similar detection of bands of the desert locust by aircraft has been conducted in Somalia. Swarms can be detected by ground vehicles, but because swarms move, surveying by aircraft is also an important way of locating swarms for treatment. When locust infestations are found, they are rapidly treated as part of early intervention preventive management. However, it is generally recognized that it is extremely difficult for landholders alone to protect crops against locusts and grasshoppers, so government intervention is often necessary. These organizations use a variety of treatment techniques to reduce the amount of chemical pesticide applied either by strip spraying or treating very dense infestations, such as roosting swarms, or using biopesticides. These techniques, as used in a number of countries, have proven to be very effective in managing locust populations while reducing the risk to the natural environment and human health. Full article

Due to the increased unpredictability and severity of weather patterns caused by climate change, traditional farming practices and risk management strategies are becoming increasingly inadequate. In this paper, we explore the literature to understand the potential of artificial intelligence (AI) in mitigating climate-related agricultural risks and the pivotal role that public institutions play in encouraging farmers to adopt such technologies. We propose a framework to integrate AI into government-subsidized insurance structures, focusing on reduced premiums through government intervention. We argue that AI’s potential to reduce the uncertainty and severity of climate-induced damages could lower the overall risk profile of insured farmers, thereby justifying lower premiums in the long run. We further discuss the implications of such policies on insurance markets, agricultural sustainability, and global food security. Our initial exploration contributes to the literature by addressing a relatively underexplored intersection of two critical fields—agricultural insurance and artificial intelligence—suggesting directions for future research. Full article

Amid global efforts to combat climate change, China’s targets for reaching carbon peak and achieving carbon neutrality are critical for enhancing environmental governance and promoting sustainable economic growth. This study investigates the impacts of experimental carbon emissions trading markets on industrial coordination within a typical inland urban cluster in China, employing innovative regression control methods (RCM) to analyze changes in regional industrial dynamics. The analysis reveals significant findings: firstly, the establishment of carbon emissions trading markets has tangibly influenced industrial coordination across the economic zone; and secondly, while industrial coordination within the manufacturing sectors has seen a substantial increase, coordination in the productive service sectors remains relatively unchanged. These outcomes highlight the differential effects of carbon market policies on various sectors and underscore the importance of targeted interventions in achieving broader environmental and economic objectives. Full article

Experiential learning and discovery through farmer field schools (FFS) have the potential to empower smallholder livestock farmers who face heightened vulnerability to climate change. However, there are various levels of learning and discovery in FFS that can inform smallholder livestock farmer knowledge and perception. Understanding this is vital, as farmers’ perceptions influence their readiness to adopt climate-smart practices, informing effective resilience-building strategies. Therefore, this study sought to investigate and assess the impact of the FFS approach on smallholder livestock farmers’ perceptions of climate change, taking Raymond Local Municipality in South Africa as a case. The design followed by the study was a longitudinal survey, with three pools each signifying various FFS intervention points. The study utilized simple random sampling to collect data from 80 smallholder livestock farmers using structured questionnaires in each of the three cross-sectional pools, while descriptive statistics, Min–Max Normalization, and t-tests were used for analysis. The results show that there was an increase in the awareness of climate change due to the interventions of the FFS. Furthermore, there are cumulative differences between the knowledge and perception towards climate change between the three pooled cross-sections. In conclusion, participating in FFS had a significant impact on farmers’ level of understanding and adaptation to climate change. The study recommends that the government and policymakers extensively promote FFS and support them financially so that they can provide more support to rural farmers as well as enhance knowledge on climate change. This study recommends the provision of workshops and awareness campaigns on climate change for farmers through FFS as this will assist farmers to be more sustainable on their farming systems and production. Full article

This review addresses the fragmented literature on administrative interventions for cybercrime mitigation within e-government services, which often prioritise technological aspects over a unified theoretical framework. By analysing 32 peer-reviewed articles from the Web of Science (WoS) and Scopus databases, supplemented by additional sources located through Google Scholar, this study synthesises factors within the technical, managerial and behavioural domains using the Theory, Context and Method (TCM) framework. The findings reveal a predominant focus on managerial and technical factors, with behavioural aspects frequently overlooked. Cybercrime mitigation is often treated as a procedural step rather than a holistic process. This study advocates a well-established, context-specific mitigation plan, integrating regional factors through the Human–Organisation–Technology (HOT) framework to develop a comprehensive model for effective cybercrime mitigation in e-government services. This research has practical, theoretical and policy implications, offering actionable insights for improving operational practices, advancing theoretical frameworks and guiding policymakers in formulating effective cybercrime mitigation strategies. Full article

Produce prescription programs can benefit both individuals and health systems; however, best practices for integrating such programs into the Australian health system are yet unknown. This study explored stakeholders’ perspectives on the acceptability, potential design and integration of produce prescription programs for adults with type 2 diabetes in Australia. Purposive sampling was used to recruit 22 participants for an online workshop, representing six stakeholder groups (government, healthcare service, clinician, food retailer, consumer, non-government organisation). Participant responses were gathered through workshop discussions and a virtual collaboration tool (Mural). The workshop was video-recorded and transcribed verbatim, and thematic analysis was conducted using a deductive–inductive approach. Stakeholders recognised produce prescription as an acceptable intervention; however, they identified challenges to implementation related to contextuality, accessibility, and sustainability. Stakeholders were vocal about the approach (e.g., community-led) and infrastructure (e.g., screening tools) needed to support program design and implementation but expressed diverse views about potential funding models, indicating a need for further investigation. Aligning evaluation outcomes with existing measures in local, State and Federal initiatives was recommended, and entry points for integration were identified within and outside of the Australian health sector. Our findings provide clear considerations for future produce prescription interventions for people with type 2 diabetes. Full article

In the context of increasing global efforts to mitigate climate change, effective carbon emission reduction is a pressing issue. Governments and power companies are key stakeholders in implementing low-carbon strategies, but their interactions require careful management to ensure optimal outcomes for both economic development and environmental protection. This paper addresses this real-world challenge by utilizing evolutionary game theory (EGT) to model the strategic interactions between these stakeholders under a low-carbon trading mechanism. Unlike classical game theory, which assumes complete rationality and perfect information, EGT allows for bounded rationality and learning over time, making it particularly suitable for modeling long-term interactions in complex systems like carbon markets. This study builds an evolutionary game model between the government and power companies to explore how different strategies in carbon emission reduction evolve over time. Using payoff matrices and replicator dynamics equations, we determine the evolutionarily stable equilibrium (ESE) points and analyze their stability through dynamic simulations. The findings show that in the absence of a third-party regulator, neither party achieves an ideal ESE. To address this, a third-party regulatory body is introduced into the model, leading to the formulation of a tripartite evolutionary game. The results highlight the importance of regulatory oversight in achieving stable and optimal low-carbon strategies. This paper offers practical policy recommendations based on the simulation outcomes, providing a robust theoretical framework for government intervention in carbon markets and guiding enterprises towards sustainable practices. Full article

Transition economies, on the one hand, grapple with a communist legacy; on the other hand, they seek the optimal institutionalization for knowledge generation, dissemination, and commercialization to compete globally. However, the incumbent knowledge of certain aspects of their innovation systems remains very limited. In particular, intra-organizational cultural relics of the past and their inter-organizational and, consequently, systemic implications require research. This study examines how interaction barriers among universities, industry, and government, stemming from intra-organizational cultures, impact structural change in the innovation system of Azerbaijan. Utilizing the TH model, interviews with 59 participants revealed that a “Statist” TH model in Azerbaijan hinders organic cultural development within organizations, leading to interaction issues among TH actors. Moreover, problems in inter-organizational communication pave the way for a systemic failure that necessitates government intervention, strengthening the “Statist” TH model. The findings increase the context sensitivity of the TH framework by exploring an understudied context and provide valuable insights relevant to other transition economies facing similar institutional legacies. Full article

Background: The global food system faces growing pressure from population growth, climate change, wealth inequity, geo-political instability, and damage to the ecosystems on which our food supply depends. Fragmentation of the priorities and needs of food system stakeholders—citizens, food producers, food industries, governments—compounds the problem, with competing or misaligned interests increasing the risk of failure to adequately meet the needs of those that form, and are served, by the food system. Growing consensus on the need for transformative system level change to address the problems facing the food system is yet to be significantly reflected in strategic action. Methods: The national food strategy of the UK is offered as an exemplar to discuss the need to promote more coherent and ambitious visions of transformative change that acknowledge the complexity of the food system as a whole. We draw upon cross-sectoral experience to distil the needs, priorities, and key food system tensions that must be acknowledged to promote transformative systems change that equitably delivers healthy sustainable diets, contributes to a resilient global food system, and protects the environment. Results: Greater coherence, ambition, and consideration of the food system as a whole are needed if a UK national food strategy is to contribute to significant transformative change. Conclusions: To promote this, we advocate for (1) a food system digital twin to model and test potential food system interventions or legislation; (2) a citizens’ forum to inform and co-develop a cohesive national food strategy; and (3) increased cohesion and integration of food system governance within government to drive a coherent, ambitious national food strategy. Full article

Introduction: Following the initial outbreak of the COVID-19 pandemic, mental health clinicians rapidly shifted service delivery from in-person to digital. This pivot was instrumental in maintaining continuity of care and meeting increased mental health service demands. Many mental health services have continued to be offered via digital delivery. The long-term implications of delivering services via digital media remain unclear and need to be addressed. Objectives: This study aimed to identify current micro (i.e., clinician–patient interactions), meso (i.e., clinician–clinic manager interactions), and macro (i.e., government–policy maker interactions) level issues surrounding the use of digital mental health interventions (DMHI). Such integrated assessments are important for optimizing services to improve treatment outcomes and client satisfaction. Methods: Participants were recruited between January 2022 and April 2023. Quantitative data were collected using a survey informed by the Hexagon Tool. Qualitative data were collected from online semi-structured interviews and focus groups and analyzed using rapid thematic analysis. Results: Survey data were collected from 11 client and 11 clinician participants. Twenty-six community partner participants were interviewed for this study. Client and clinician participants expressed satisfaction with the implementation of DMHI. Community partner participants generally agreed, reporting that such services will play an integral role in mental healthcare moving forward. Community partners shared that certain issues, such as uncertainty surrounding policies and regulations related to digital delivery, must be addressed in the future. Conclusions: Participants in this study supported the use of DMHI despite difficulties implementing these programs, asserting that such services are not a temporary fix but a pivotal cornerstone in the future of mental healthcare service delivery. Full article

This study investigates the impact of Central Bank interventions on the pricing dynamics of select stock markets. The research utilizes the instrumental variables three-stage least square (3SLS) model approach. It analyses the effects of variations in the Federal Reserve’s balance sheet size across three distinct intervention scenarios: the 2008–2013 Great Recession, the 2020–2021 COVID-19 pandemic periods, and an overarching analysis spanning these timelines. Our methodology includes estimations of the Seemingly Unrelated Regression Equations (SURE), and the results are robust under the two-step Generalized Method of Moments (GMM). Our findings indicate that changes in the size of the Fed’s balance sheet correlate significantly with the pricing of principal U.S. equity market indices. This correlation reflects a time-dependent effect emanating from the Fed’s balance sheet expansion, marking a growing divergence between the adaptability of pricing mechanisms in equity and debt markets. Notably, the Federal Reserve’s interventions during the COVID-19 crisis are associated with an increase of approximately 0.0403 basis points per billion in treasury yields. This research makes a significant contribution to the understanding of financial asset pricing, particularly by elucidating the extent to which interventions in government debt securities engender price distortions in certain equity markets. Full article

This paper analyzes the effects of central bank interventions via large-scale purchases of government debt securities on the pricing of stock market indices. This study examines the effects of changes in the size of the Federal Reserve’s balance sheet in three intervention scenarios: during the 2008–2013 period, the 2020–2022 period, and in the years between by using the instrumental variables three-stage least squares (3SLS) method for a time series approach, and calculates the effects of these interventions on each index in a fund of funds setup using the panel data strategy. This study confirms that large-scale purchases of government debt securities in response to the Great Recession and COVID-19 crises influenced the pricing of equity markets via their effect on the pricing of treasury bonds, with different degrees of sensitivity of each index to the effects on yields. Although the findings apply to the U.S. market, the results indicate that the pricing of small capitalization indices such as the Russell 2000 are less sensitive to changes in treasury yields caused by central bank interventions than large capitalization indices such as the DJIA. This research contributes to the understanding of financial asset pricing, particularly by identifying price distortions within equity market portfolios. Full article