Relevant Policy Research Articles

Policy drivers and tools influencing the development of social enterprises in Taiwan

Purpose Taiwan promotes social enterprises with the Social Enterprise Action Plan and Social Innovation Action Plan, focusing on solving social problems and achieving sustainable development goals. This study aims to clarify the impetus for the above policies and determines whether the relevant policy tools can achieve the established policy goals. Design/methodology/approach This study adopts the in-depth interview method and uses the “social impact investment framework” constructed by OEDC and Dunn’s definition of public policy stakeholders to select 22 respondents, who were divided into three groups. Findings Taiwan’s decision-making in social enterprise policy is mainly driven by the pressure of youth unemployment and the 318-student movement. Intrinsic motivation strategies popularized the concept of social enterprise. Various strategies are used to break the limitations and diversify the organization, trigger more diverse social investments, broaden the goals of investment and complete the social enterprise ecosystem through these. Taiwan’s social enterprise policies are consistent with the global trend of “replacing subsidies with investment.” Originality/value This study shows that social enterprises generate mutual benefits between investors and social enterprises, that is, achieve free matching through external mechanisms. This study fills the gaps in Oliver’s “behavioral cube” framework of policy instruments. A “behavioral four-dimensional matrix” composed of nudge, shove, budge and reciprocity is proposed to complete the framework for social enterprise policy analysis tools.

The Food and Nutrition Policy Environment and Drivers of Changes in Key Food System Outcomes in Ethiopia

Background: There seems to be huge gap in our understanding of the changes over time in food system outcomes and their drivers in Ethiopia. The main aim of this study is to examine the food and nutrition programs and policies and their corresponding key food system outcomes in Ethiopia. Methods: The bulk of the information was generated using scooping review of relevant articles and policy documents. About 67 full text records were used for the review. In addition, data were collected using Key Informant Interview (KIIs) purposefully selected from sectoral offices from two major cities (Hawassa and Dire Dawa), of two regions. The analytical framework used in this paper was adopted from previous studies on related subjects and addressed three key components of food system: review of food and nutrition policy environment, key food system outcomes and key drivers. Results: Despite improvement in some food system outcomes (such as child nutrition and survival), food security crises in Ethiopia are still becoming more frequent and more acute, affecting the poor disproportionately. Most food and nutrition policies are constrained by lack of implementation capacities. Indicating the presence of various barriers (socioeconomic, demographic, and environmental). Poor human capital (such as knowledge and attitude), food taboos and tradition, cultural practices such as gender-based norms, poor education, poor delivery/supply chain, demographic pressure and other environmental drivers play critical role in food and nutrition security of most vulnerable population groups in Ethiopia. Conclusion and implications: Given the challenges confronting Ethiopia today, it is imperative to assume that meeting Sustainable Development Goal (SDG) 2 (i.e., attaining zero hunger by 2030) becomes challenging. This calls for continuous capacity building to help implement, learn, and adapt a systems approach; and access to education and skill training on food production and consumption and narrowing down the gender differential in food access and consumption.

The Food and Nutrition Policy Environment and Drivers of Changes in Key Food System Outcomes in Ethiopia

Background: There seems to be huge gap in our understanding of the changes over time in food system outcomes and their drivers in Ethiopia. The main aim of this study is to examine the food and nutrition programs and policies and their corresponding key food system outcomes in Ethiopia. Methods: The bulk of the information was generated using scooping review of relevant articles and policy documents. About 67 full text records were used for the review. In addition, data were collected using Key Informant Interview (KIIs) purposefully selected from sectoral offices from two major cities (Hawassa and Dire Dawa), of two regions. The analytical framework used in this paper was adopted from previous studies on related subjects and addressed three key components of food system: review of food and nutrition policy environment, key food system outcomes and key drivers. Results: Despite improvement in some food system outcomes (such as child nutrition and survival), food security crises in Ethiopia are still becoming more frequent and more acute, affecting the poor disproportionately. Most food and nutrition policies are constrained by lack of implementation capacities. Indicating the presence of various barriers (socioeconomic, demographic, and environmental). Poor human capital (such as knowledge and attitude), food taboos and tradition, cultural practices such as gender-based norms, poor education, poor delivery/supply chain, demographic pressure and other environmental drivers play critical role in food and nutrition security of most vulnerable population groups in Ethiopia. Conclusion and implications: Given the challenges confronting Ethiopia today, it is imperative to assume that meeting Sustainable Development Goal (SDG) 2 (i.e., attaining zero hunger by 2030) becomes challenging. This calls for continuous capacity building to help implement, learn, and adapt a systems approach; and access to education and skill training on food production and consumption and narrowing down the gender differential in food access and consumption.

Globalization — Inequality Nexus in the US and UK: A Multi-Dimensional Perspective

Equitable income distributions occupy a top spot on the list of the United Nations (UN) Sustainable Development Goals (SDG[Formula: see text]). Nonetheless, prior empirical inquiries noted several factors, including globalization as the determinant of income inequality, albeit divergent inferences. However, very little is known about the potential effects of other variants of globalization (economic, social, cultural and political) on income inequality. Hence, this study, through a multi-dimensional scale, provides a comprehensive empirical overview of the effects of globalization on income inequality in the United States and the United Kingdom between 1970 and 2018. The study adopts the Autoregressive Distributed Lag (ARDL) and Kernel Regularized Least Squares (KRLS) models for broad-based empirical narratives. The empirical estimates rectify that globalization and its variants influenced income distributions significantly more in the US than in the UK. Particularly, at the 25th and 50th quantiles, globalization produced significant inequality-reducing effects in the UK. This indicates varying outcomes across the distributions of income inequality. Hence, constant monitoring is critical to curtail the influence of globalization on income distributions. The study also revealed that the existing patterns of income distributions in both countries would not guarantee the attainment of SDG[Formula: see text]. However, if laborers are compensated adequately, the attainment of SDG[Formula: see text] is certain. Thus, relevant policy options that will ensure equitable prosperity in both countries are highlighted.

Subsidy Policies and Economic Analysis of Photovoltaic Energy Storage Integration in China

In the context of China’s new power system, various regions have implemented policies mandating the integration of new energy sources with energy storage, while also introducing subsidies to alleviate project cost pressures. Currently, there is a lack of subsidy analysis for photovoltaic energy storage integration projects. In order to systematically assess the economic viability of photovoltaic energy storage integration projects after considering energy storage subsidies, this paper reviews relevant policies in the Chinese photovoltaic energy storage market. It analyzes the cost and revenue composition of photovoltaic energy storage integration projects, and constructs a system dynamics model for the levelized cost of electricity (LCOE) of such projects. Taking a specific photovoltaic energy storage project as an example, this paper measures the levelized cost of electricity and the investment return rate under different energy storage scenarios. Combining energy storage allocation ratios and internal rate of return indicators, this paper analyzes the net present value of photovoltaic energy storage integration projects under different subsidy standards. The results indicate that, while the current energy storage subsidy policies positively stimulate photovoltaic energy storage integration projects, they exhibit a limited capacity to cover energy storage investment costs, thereby failing to incentivize capital market participation in the construction of such projects. Rational allocation of energy storage capacity and optimization of corresponding subsidy policies are crucial prerequisites for enhancing the economic viability and widespread adoption of photovoltaic energy storage integration projects. This study not only aids in investment decision making for photovoltaic power stations but also contributes to the formulation of energy storage subsidy policies.

Coping strategies and food insecurity experiences: the case of female-headed agricultural households in Liberia

PurposeRealities of food insecurity are more pronounced with a specific focus on women in developing countries. The need to understand the varied food insecurity experiences among female-headed agricultural households in such contexts provided the rationale and motivation for this study.Design/methodology/approachThe study employed a quantitative cross-sectional approach, drawing on the binary logistic regression to determine the influence of socioeconomic status on household coping mechanisms in response to food insecurity in a stratified random sample of 509 female-headed agricultural households in Liberia.FindingsThe results revealed that most respondents experienced food insecurity reflected in inadequate food availability, an inability to eat nutritious food and the necessity to skip meals. In response, they employed coping strategies such as borrowing money, selling assets, and reducing health expenses, which were influenced by socioeconomic characteristics such as gender, education, and marital status.Practical implicationsThe study illustrates the multi-layered and complex context of food insecurity among women. From these findings, the study proposes the consideration of such dynamics to inform practical and relevant mitigatory policy approaches to the target demographic.Social implicationsWith food insecurity being a social problem, the study identifies its social impact by documenting the participants' lived experiences. Thus, the study contributes to a deeper understanding of food insecurity across different segments of society.Originality/valueThe study draws its originality from understanding how food insecurity impacts female-headed households, highlighting the often-ignored gender dynamics of food insecurity in developing nations and aggregating the coping strategies and food insecurity expenses.

Retrospective analysis of diagnosis and treatment of tuberculosis in designated medical institutions in China from 2017 to 2022

Objective: To understand the status of tuberculosis diagnosis and treatment capacity and the development and changes of tuberculosis diagnosis and treatment in provincial and municipal designated medical institutions in China from 2017 to 2022, so as to provide a basis for the formulation of relevant policies for the improvement and development of designated medical institutions for tuberculosis and the tuberculosis prevention and treatment service system, and to provide reasonable support for further strengthening the capacity of designated medical institutions for tuberculosis. Methods: This study was initiated and carried out by Beijing Chest Hospital affiliated to Capital Medical University/Clinical Center for Tuberculosis Prevention and Control of China CDC (hereinafter referred to as "Clinical Center") by means of questionnaire survey, and the investigation was carried out from March to November 2023. During this period, the clinical center distributed questionnaires to the hospital member units of "Beijing Tuberculosis Diagnosis and Treatment Technology Innovation Alliance", retrospectively collected their tuberculosis-related diagnosis and treatment data from 2017 to 2022, and used descriptive statistical methods to analyze the number of tuberculosis beds, outpatients and hospitalizations in medical institutions. The results were expressed in absolute numbers (percentages), and three-line tables, bar charts and line charts were drawn to describe the analysis results and changing trends. Results: The 54 medical institutions surveyed in this survey included 21 provincial-level designated medical institutions and 33 prefecture-level designated medical institutions. Most medical institutions have set up clinical departments, auxiliary departments and functional departments to undertake public health tasks of infectious diseases. The tuberculosis laboratory in the hospital has a comprehensive ability and has the detection technology needed for most tuberculosis diagnosis; The number of tuberculosis beds, children's tuberculosis beds and ICU beds all showed an increasing trend from 2017 to 2022. The proportion of tuberculosis beds in the hospital decreased slightly, from 39.31% in 2017 to 34.76% in 2022, showing a slight downward trend. Compared with the hospital surveyed, the number of tuberculosis outpatients in 2019 was 562 029, and the number of outpatients in 2020-2022 was 462 328, 519 630 and 424 069 respectively, which was significantly lower than that in 2019. The number of tuberculosis outpatients in medical institutions decreased significantly from 2020 to 2022. By analyzing the proportion of patients with different types of tuberculosis, the proportion of sensitive tuberculosis outpatients in 2017-2022 decreased from 84.49% in 2017 to 78.05% in 2022, showing a downward trend year by year. The proportion of patients with multidrug-resistant/ rifampin-resistant tuberculosis increased from 2.03% in 2017 to 7.18% in 2022. From 2017 to 2019, the total number of inpatients with tuberculosis showed an upward trend. Compared with 2019, the number of inpatients in 2020, 2021 and 2022 showed a downward trend, and the decline in 2020 was large (down 14.94% compared with 2019). Among the inpatients, the absolute number and proportion of patients with sensitive pulmonary tuberculosis remained relatively stable, and the number and proportion of inpatients with multidrug-resistant/rifampin-resistant pulmonary tuberculosis increased year by year. Conclusions: Most medical institutions have the capacity to carry out routine diagnosis and treatment of tuberculosis, but the public health function needs to be strengthened. The transformation of medical institutions requires proper guidance and adequate support. During 2019-2022, most medical institutions were affected by the COVID-19 epidemic, and their tuberculosis diagnosis and treatment work also changed to varying degrees. During this period, hospitals took various measures to overcome difficulties and tried their best to maintain the normal development of tuberculosis diagnosis and treatment, and the tuberculosis diagnosis and treatment work of various institutions gradually resumed in 2022.

Decision Analysis of Cold Chain Supply Chain Based on a Stochastic Evolution Model

Accelerating the development of cold chain logistics for agricultural products is not only an objective requirement for the development of agricultural product circulation but also a necessary demand to promote rural revitalization and upgrade agricultural consumption. Addressing the evolutionary problems of cold chain transportation in uncertain environments, this study considers the actual stochastic disturbances in the cold chain supply chain system, introducing Gaussian white noise to reflect the random perturbations experienced during the evolution of the cold chain. A three-party stochastic evolutionary game model is established involving farmers, logistics enterprises, and government regulatory authorities. Based on this model, numerical simulation analysis is conducted to explore the effects of different factors such as the intensity of random disturbances and the loss transfer coefficient on the fluctuation of strategic choices of the entities and the convergence speed to a stable state during evolution. Finally, combining the results of numerical simulation, relevant policies and recommendations are proposed to provide insights and guidance for the development of cold chain logistics in agricultural products.

Urbanization and economic growth in China: empirical evidence based on a SIVQR approach

PurposeWe seek to quantify the relationship between urbanization and economic growth in China using recent advances in econometric techniques.Design/methodology/approachThis study adopts a smoothed instrumental variables quantile regression (SIVQR) estimator to obtain consistent estimates of the effects of urbanization on economic growth in China. Our approach accounts for the differential impacts of urbanization across the conditional distribution of economic growth while allowing for an identification strategy that addresses the endogeneity of urbanization. Our main findings reveal that ignoring urbanization endogeneity leads to inconsistent estimates of urbanization effects. Further, we find a positive relationship between urbanization and growth resembling an inverted U-shape. This supports the hypothesis that the beneficial effects of urbanization intensify at initial stages while diminishing beyond a certain threshold, due perhaps to weakening scale economies.FindingsOur main results indicate that the individual productivity gains brought by urbanization outweigh the negative effects thereof that impede productivity, thus contributing to the economic growth in China. Further, we find that ignoring differential impacts of urbanization underestimates the beneficial effects of urbanization for provinces whose quality of governance is in the vicinity of the center of quality distribution. Ignoring the endogeneity of urbanization generates inconsistent estimates of the elasticity of economic growth with respect to urbanization. Finally, we estimate an inverted U-shape resembling relationship between urbanization and growth.Research limitations/implicationsFirst, future studies would benefit from incorporating more data as provinces further east on the mainland become more urbanized and urbanization runs its course. Second, controlling the barriers to rural-urban mobility would contribute to the robustness of the estimated relationship between urbanization and growth once such data became available. Unveiling the impact of government-imposed barriers is key to designing optimal policies that help fuel economic growth in the country. Finally, future research could benefit from information on urbanization sources not considered here such as inter-provincial migration, as such data become publicly available.Practical implicationsQuantifying the beneficial effects of urbanization on economic growth can help guide the government in China to further fuel the growth through a set of relevant policy tools that promote urbanization.Social implicationsRural-urban migration in China lays the groundwork for economic advancement in recipient cities and economies, as it may induce scale economies. This can benefit both the economy at large and the migrants.Originality/valueThe SIVQR estimator accounts for potential heterogeneous effects of urbanization across the entire conditional distribution of growth while allowing for an identification strategy that addresses the endogeneity of urbanization. An additional distinguishing feature of the current study is our use of the most recent novel, provincial-level data obtained from the National Bureau of Statistics of China. Our focus on a single country allows sidestepping issues arising from the inconsistency of the definition of urban across different countries while accounting for intra-country urbanization drivers intrinsic to China, such as natural features and geographic characteristics. Therefore, our approach has the potential to sidestep the bias resulting from the differences in mechanisms behind urbanization-growth relationships across different countries.

Research on the National Audit Model to Promote the Strategy of Rural RevitalizationBased on the Practice Analysis of Ankang, Shaanxi

The issue of unbalanced and insufficient development in China is particularly prominent in rural areas. Therefore, the report of the 19th National Congress of the Communist Party of China proposed the implementation of the "Rural Revitalization Strategy" and pointed out that effective governance is the foundation for achieving rural revitalization. This paper, based on the comprehensive audit practice in Ankang City, Shaanxi Province, summarizes the specific practices and achievements of Ankang, analyzes its role and the problems that exist. It studies from the perspective of effective governance how national audit at the rural level can promote effective rural governance and thus achieve rural revitalization; on this basis, it proposes relevant policy recommendations from clarifying the leading position of national audit at the rural level, audit subjects, audit forces, audit methods, and the application of audit results.

CONSUMER PROTECTION AND PUBLIC HEALTH

One of the objectives of the European Union is to ensure a high level of protection for its citizens, an objective that cannot be achieved without guaranteeing the protection of the health, safety and economic interests of consumers. In the context of these concerns, the European legislator has integrated consumer protection into all relevant policy areas of European Union legislation. The central aim of this policy is the protection of citizens' health, although the main responsibility in this direction rests with the Member States. Looking beyond the borders of the member states and even of the European Union, the Covid-19 pandemic has proven that health is a priority and goes beyond the area of interest, which is limited to the borders of a state or a union of states, but has gained global relevance.

Carbon capture and utilization under EU law: impermanent storage of CO2 in products and pre-combustion carbon capture

Abstract The evolving regulatory landscape within the European Union demonstrates a transition from prioritizing carbon capture and storage over carbon capture and utilization towards a more equitable treatment of both approaches in relevant legislation and policy frameworks. Nevertheless, the ‘permanence’ criterion of carbon dioxide in the products remains an ongoing challenge. Within the current European legal framework, harnessing the regulatory incentives depends on how long carbon dioxide remains in carbon capture and utilization products. The study elucidates the evolving regulatory landscape surrounding carbon capture and utilization by examining recent legislative initiatives and amendments to key directives such as the Emissions Trading System Directive and the Renewable Energy Directive. Furthermore, it explores the implications of the European Union Net-zero Industry Act and the Carbon Removal Certification Framework. In addition, this article examines and explains the need for expanding the scope of carbon capture and utilization and storage by incorporating pre-combustion carbon capture through methane splitting into the definition.

Does Farmers’ Cognition Enhance Their Enthusiasm for Adopting Sustainable Digital Agricultural Extension Services? Evidence from Rural China

The service model of digital agricultural technology extension, as a novel and sustainable approach, plays a pivotal role in facilitating the digital transformation of farmers’ agricultural practices. Leveraging survey data from 1475 farmers in China, the study employed a multivariate ordered logit model to investigate the relationship between farmers’ cognition and enthusiasm to adopt digital agricultural extension services. The findings revealed that subjective and objective cognitions positively influence farmers’ enthusiasm for adopting digital agricultural extension services. Furthermore, policy incentives, as a significant regulatory factor, effectively influence farmers’ cognition levels and enthusiasm to adopt digital agricultural extension services. Additionally, female respondents, farmers with higher educational levels, and membership in agricultural cooperatives all facilitate the adoption of these services. This study not only enriches the theoretical framework for agricultural technology promotion, aiding in the understanding of farmers’ decision-making processes when adopting digital agricultural extension services, but also provides a deeper insight into the role of digital agricultural technologies in promoting sustainable agricultural development, offering scientific evidence for relevant policy formulation and implementation.

Decomposition of China’s Carbon Emissions Responsibility from the Perspective of Technological Heterogeneity

A global agreement has been reached on the reduction in greenhouse gas emissions. Worldwide, countries have implemented measures to tackle carbon emission issues by establishing aggregate targets and decomposing responsibilities. This study aims to decompose carbon emissions by creating an input–output model that incorporates multivariate factors like energy consumption and water consumption, together with a ZSG-DEA (zero-sum data envelopment analysis) model considering technological heterogeneity (Tech-ZSG-DEA). Based on the total carbon emission data predicted using the STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) model, the carbon emission efficiency of 30 provinces in China is evaluated according to multiple principles. This is achieved by considering variations in population, economy, energy consumption, and water consumption across different locations. The efficiency findings indicate a discrepancy between the initial allocation and the highest efficiency value of 1. The traditional ZSG-DEA model overlooks regional disparities and may worsen carbon emission pressures in less developed areas. In contrast, the Tech-ZSG-DEA model, which considers regional technological diversity, allows more efficient regions to help alleviate some of the carbon emission burden and considers economic and social benefits. There is a large difference in the emission responsibility of the provinces based on the different decomposition principles. Finally, relevant policy recommendations are provided, such as the formulation of differentiated and inclusively coordinated emission plans. In addition, there are also mechanisms for coordinating interests and joint prevention among different regions.

Effects of Wage Differentials, MFA, and GSP on Exports in the Bangladesh Textile and Garment Industry

ABSTRACT In this paper, we investigate the effect of inter-country wage differentials on textile and garment (T&G) exports of Bangladesh and present an account of the important issue of why textile and garment exports are directed from developing countries to developed countries. Our empirical results imply that the wage differentials between developed and developing countries constitute one of the main drivers of T&G exports. In addition, we checked other factors such as the Multi-Fiber Arrangement (MFA) and the Generalized System of Preferences (GSP) by including dummy variables representing the MFA quota withdrawal and the GSP. We found that removal of the MFA had a significant negative effect, as expected. Our study confirms the positive correlation between GSP and exports. After phasing out the MFA and its quota system, the wage differentials not only boost the T&G exports from Bangladesh, but also increase the effectiveness of GSP. Given such findings, we discuss relevant policy implications.

Evaluation and influencing factors of green transformation in three major urban agglomerations in China

Since the 21st century, the world has increasingly focused on the issue of sustainable development, and the green transformation issues have become a new hot topic worldwide. Green and low-carbon transformation has become an international consensus. Urban agglomerations are important connections between urban development and regional coordination, as well as important spatial carriers for economic activities. They are not only the main source of carbon emissions, but also the main battlefield for energy conservation and emission reduction. As an important field for carbon reduction, the green transformation of cities is crucial for achieving the “dual carbon” goals. This article focuses on 48 cities in the three most mature and influential urban agglomerations in China from 2011 to 2019, namely, the Beijing-Tianjin-Hebei urban agglomeration, the Yangtze River Delta urban agglomeration, and the Pearl River Delta urban agglomeration. The three-stage DEA model and Malmquist index model are used to measure the green transformation efficiency of the three urban agglomerations from both dynamic and static perspectives, and a Tobit regression model is constructed to explore the influencing factors of green transformation efficiency in urban agglomerations. Research has found that: 1) From a static perspective, the overall efficiency of green transformation in the three major urban agglomerations is at a high level, but from a temporal perspective, it shows a downward trend. The Pearl River Delta urban agglomeration is known for its green development, with the highest average efficiency of green transformation, followed by the Yangtze River Delta urban agglomeration. The Beijing-Tianjin-Hebei urban agglomeration has the lowest level of green transformation; 2) From a dynamic perspective, technological progress is the main driving factor for improving the efficiency of green transformation in the three major urban agglomerations. Therefore, the government should pay special attention to the progressiveness of technology when formulating relevant policies to promote urban green transformation; 3) From the perspective of spatiotemporal differences, there are significant differences in the spatiotemporal characteristics of green transformation among the three major urban agglomerations, and there are significant differences in green transformation strategies among different urban agglomerations. Eliminating environmental factors and random interference is necessary for accurately measuring the efficiency of green transformation in urban agglomerations; 4) From the perspective of influencing factors, factors such as industrial structure upgrading, green innovation level, and environmental regulation intensity jointly affect the efficiency of green transformation in urban agglomerations. Based on this, we should pay attention to the differences between urban agglomerations and implement policies tailored to local conditions; Strengthen the network system of urban agglomerations and avoid conflicts between cities; Encourage green technology innovation, accelerate industrial structure upgrading, and so on. This article focuses on the issue of green transformation in urban agglomerations, and conducts research from three perspectives: efficiency measurement, influencing factors, and implementation mechanisms. A relatively systematic theoretical framework for green transformation in urban agglomerations is formed, and an evaluation index system for green transformation efficiency in urban agglomerations is constructed and optimized. The composition mechanism of the five dimensional evaluation system for transformation efficiency is analyzed, and the bottleneck and breakthrough direction of the three major urban agglomerations in China in the development process are grasped. It has a good demonstration effect on the green transformation of other urban agglomerations.

Evaluation of decarbonization cost transfer: From transport to power sector in South Korea

To achieve net-zero emissions, major countries have implemented energy transition and electrification policies, incurring significant costs. Each sector, including generation, industry, transport, and buildings, has its own decarbonization strategy. However, as net-zero emission is a cross-sectoral issue, decarbonization efforts in one sector can impact others. In this study, we employed a combination of renewable energy adoption planning, battery electric vehicles (BEVs) charging pattern simulation, and electricity market modeling to evaluate the cost implications of transitioning to BEVs in the transport sector and its subsequent impact on the power generation sector. We considered long-term Korean policies for the power and transport sectors when constructing scenarios to compare transition costs. Our results indicate that, while the additional electricity demand from BEVs increases electricity system costs, utilizing nuclear power can significantly reduce these costs. The estimated cost of BEVs, totaling three billion US dollars, can be covered through the relevant transition policy in the power sector. However, nuclear power in Korea is only a temporary solution that delays the social costs of achieving net-zero emissions. Thus, the Korean government should develop alternatives for clean electricity. Our results also suggest that the decarbonization cost transition from a sector to the power sector should be considered in the net-zero policy.

Actors and structures in international relations. The US, the EU, and West Africa: from indifference and development to promotion of security

ABSTRACT It is an old debate in social science, what is most influential, actors or structures? The paper resumes the discussion by concretely asking, how can the radical policy shift towards West Africa in the wake of the terrorist attacks on the US in September 11, 2001, be explained by applying an agency-structure approach? The article applies a theoretical framework combining neo-classical realist thinking with the reasoning found in historical institutionalism. Concepts like path dependency and critical juncture are helpful. The roles and priorities of the core foreign policy actors in the United States and in the European Union are discussed before the article identifies international and domestic structures that might constrain the role and influence of the relevant foreign policy decision-makers. It is concluded that neither international nor domestic structures represented strong obstacles to the foreign policy decision makers’ ambitions to implement radical policy changes towards West Africa.

The Impact of the Industrial Internet on the Innovation and Development Level of China’s Manufacturing Industry: Under the Perspective of Government Incentives

In the era of the digital economy, it has become an inevitable trend for manufacturing enterprises to establish industrial Internet platforms toward achieving transformation and innovative development. However, the current development model of industrial Internet platforms is still imperfect, wherein the application scenario is complex, the investment cost is too high, the return-on-investment cycle is too long, and other factors have hindered the willingness of manufacturing enterprises to employ cloud services and capital investment. For this reason, governments have introduced a series of relevant incentive policies to promote the development of industrial Internet platforms and the transformation and upgrading of manufacturing enterprises. Considering the role of government incentives, this study first constructs an evolutionary game model with local governments, manufacturing enterprises, and industrial Internet platforms as the main players. Then, the dynamic change process of each game player’s strategy choice and the stable state of the system evolution under multiple scenarios are analyzed, and the validity of the conclusions is verified through a numerical simulation analysis. Finally, the statistical data of 28 provinces in China from 2018 to 2020 are used to conduct an empirical test to explore the impact of the industrial Internet on the transformation and innovation development of the manufacturing industry and the role of government incentives. The results show that the development of the industrial Internet has a significant role in promoting the innovation and development of the manufacturing industry; government incentives can promote the innovation and development of the industrial Internet and manufacturing industry, but incentives should not be too generous; and the impact of developing the industrial Internet on the level of innovation input/output of the manufacturing industry shows obvious regional differences. This study takes the local government as an independent game participant into consideration, which enriches the research field of combining evolutionary game theory with the transformation and innovative development of the manufacturing industry. In addition, this study provides theoretical guidance and practical references for the government to formulate incentive policies to promote the development of industrial Internet platforms and for manufacturing enterprises to utilize these platforms to carry out innovation and perform upgrades.

Impact of the digital transformation of Chinese new energy vehicle enterprises on innovation performance

Digital transformation involves fundamental changes in business models, organizational structure, corporate culture, and even the way in which customers interact. Chinese new energy vehicle companies hope to achieve faster response speeds, greater operational efficiency, and better user experiences through digital transformation. Therefore, exploring how to successfully carry out digital transformation and its true impact on enterprise performance is of profound significance. The digital transformation of enterprises requires the embedding and absorption of network relationships to acquire and transform external resources and technologies, which further affects the innovation performance of these enterprises. This article introduces absorptive capacity as a mediating variable and network embeddedness as a moderating variable to construct a theoretical model, attempting to elucidate the mechanism of the impact of digital transformation on enterprise innovation performance. By combining theoretical and empirical analysis, the research hypotheses are tested, and the results show that 1. digital transformation (digital technology, digital products, and digital platforms) has a positive impact on enterprise innovation performance, 2. absorptive capacity plays a significant mediating role in the relationship between digital transformation and enterprise innovation performance, and 3. the embeddedness of network relationships has a significant positive moderating effect on the digital transformation of enterprises and their innovation performance. This article delves into an effective approach involving digital transformation, absorptive capacity, and enterprise innovation performance; analyses the moderating effect of network embeddedness; and concludes that the research findings have implications for the development of related research on digital transformation and enterprise innovation. The timely activities of enterprises to effectively carry out digital transformation, as well as the formulation of relevant policies, have positive significance.