Managerial and Decision Economics最新文献

The adoption and utilization of renewable energy offer potential benefits such as enhanced energy efficiency, cost savings, and ecological advantages. However, a key research question addressed in this analysis is whether natural resource rent and employment dynamics influence renewable energy consumption in Africa. Previous research has predominantly focused on the aggregate employment rate, overlooking the nuances of labor diversity across sectors and employment types. Hence, this study evaluates the importance of natural resource rent and employment in driving the transition to green energy in sub-Saharan Africa from 1991 to 2022. It employs the innovative method of moments quantile regression (MMQR) model for this purpose. The findings reveal a positive connection between natural resource rent and the adoption of green energy. When considering employment types, the study observes that self-employment and wages/salaried workers undermine clean energy utilization. Moreover, the study highlights that employment across key economic sectors also plays a role. While employment in the agriculture and service sectors fosters green energy utilization, employment in the industrial sector impedes renewable energy consumption. To advance the development of green energy in Africa, this study underscores a range of policy options.

Understanding the mechanism of asset bubble formation is important for maintaining financial stability and healthy functioning of the economic system. With gradual emphasis on the complex characteristics of financial markets, a new perspective for analyzing the emergence of asset bubbles is emerging: how to integrate the real economy with financial markets composed of heterogeneous individuals. In this study, we propose a two-layer network game to investigate the impact of financial contagion between the real and financial sectors on asset bubbles. Among their interactions, shadow banking activities in both sectors increase the contagion risk across financial markets and construct a broader financial system. Both credit interactions and peer learning effects are captured in the network framework. Simulating relevant regulation policies, our experiments indicate that regulators should closely monitor returns on assets by setting an upper threshold. Financialization in the real sector significantly exacerbates the formation of asset bubbles, with medium-level borrowing constraints minimizing bubble dynamics most effectively. The financialization practices of mature industries should be strictly regulated, while innovative industries should be allowed moderately flexible financing practices. The degree of friction within the financial market should be flexibly calibrated for financial institutions and genuine enterprises, aiming to mitigate systemic risks in the financial market while fostering robust growth in the real economy.

Falsification of carbon emissions data poses a significant challenge to the integrity of the carbon trading market. Addressing this issue requires a comprehensive strategy involving various stakeholders. This paper focuses on collusive behavior in carbon emissions data falsification. An evolutionary game model is established to illustrate the interactions between local governments, carbon-emitting enterprises, and third-party carbon verification agencies. The stability of the evolutionary game and its conditions are analyzed, revealing the impact of regulatory penalties, credit losses, and awareness of responsibility. This study proposes a management framework tailored for this tripartite game, providing valuable insights for policy formulation.

Separating the relationship between the environment and the economy and simply discussing the impact of carbon pricing on corporate carbon emissions may lead to the “green paradox”. That is, environmental policies aimed at reducing emissions would result in an increase in carbon emissions. To remedy this shortcoming, scholars have proposed the concept of “carbon performance”. With the growing interest in carbon performance, this study investigates the relationship between carbon trading price and enterprise carbon performance, which is still unknown in the existing literature. Based on the panel data of high energy-intensive (HEIs) listed enterprises in China from 2013 to 2021, we find a positive and significant relationship between carbon trading price and carbon performance. In the components, we find that the carbon performance enhancement effect is stronger for high industry competition, state-owned enterprises and large-scale enterprises. In addition, to explore the impact of external influences on the relationship, we select financing constraints and environmental uncertainty as moderating variables. This research provides new insights to enhance the carbon performance of HEIs, as well as experiences and lessons for the construction of China's carbon emissions trading market.

Approaches to stimulating the initiative of collaborative cooperation of multiple subjects and the enthusiasm of public–private collaborative supervision are important to ensure the high-quality development of the social public health system. This study constructs a four-agent evolutionary game model with a medical enterprise, health administrative department, medical institution, and the social public as the core subjects. Using MATLAB 2018b to conduct simulation analysis, the cooperation strategy and operation mechanism of multiple subjects in the social public health system under public–private collaborative supervision are revealed, and the evolutionary stability strategy of multiple subjects under different situations is further explored. The results show (1) three evolutionary stability points in the system, which all exist in a state of loose government supervision. (2) Increasing the penalty limit can effectively regulate the behavior of medical enterprises and medical institutions; however, it is not conducive to the performance efficiency of the government in the long run. (3) Government incentives can stimulate the enthusiasm of all subjects to participate in the social public health system but should be controlled within a reasonable range. Excessive financial incentives make it easy for medical enterprises and institutions to form policy dependence.

This study discusses the cannibalization strategy of an outside manufacturer. A game-theoretic model is developed in which manufacturers sell low-quality products through retailers. The external manufacturer chooses between the retailer channel and the direct sales channel when considering carbon differences. The results show that carbon differentials and direct marketing costs play a key role in the choice of cannibalization strategy. Cannibalization by external manufacturers through retailers is not necessarily harmful to existing manufacturers. An increase in the degree of carbon differentiation leads to a decrease in wholesale and retail prices, while direct pricing by external manufacturers increases.

Given that the impact of consumers' environmental awareness and government subsidies on retailer sourcing has not been adequately examined in previous research, our study examines the impact of government subsidies on a retailer's low-carbon sourcing strategies. We define a parameter that characterizes the efficiency of government subsidies and build a game theoretical model that includes an ordinary supplier, a low-carbon supplier, and a retailer. The retailer's sourcing strategies include three options: only ordinary products (O), only low-carbon products (L), and both ordinary and low-carbon products (D). Our analysis shows the following results: First, when the retailer's environmental awareness exceeds a certain threshold, the retailer sources either low-carbon products or a combination of ordinary and low-carbon products. Otherwise, the retailer sources both ordinary and low-carbon products. Second, when the retailer's environmental awareness is relatively high, the government adopts a nonsubsidy policy regardless of the product's abatement level. However, when the retailer's environmental awareness is relatively low, the government's policy depends on the abatement level of the product: It provides a subsidy if the abatement level is low and no subsidy if the abatement level is high. Third, government subsidies to the retailer are not always an effective means of increasing social welfare. Our results have important implications for the design of effective government subsidy policies.

This work studies the deployment of the ship-from-store omnichannel strategy and the pricing and inventory decisions for an online retailer. Robust optimization models are constructed for the online-only and the ship-from-store modes under a budgeted uncertainty set. The ARIMA model is used to predict the parameter values of the budgeted uncertainty set using historical demand data. The closed-form optimal solution for the online-only mode is obtained. The robust counterpart model for the ship-from-store mode is converted to a mixed integer quadratic programming model. Numerical studies are conducted to validate the theoretical results and to verify the effectiveness and practicality of the developed robust optimization solution approach. The results show that adopting a ship-from-store strategy may hurt the retailer's profit if a significant proportion of consumers are time-sensitive with high travel cost. The ship-from-store strategy is optimal if it significantly boosts market growth.

This paper investigates how product modularity affects a manufacturer's recovery strategy by constructing two trade-in models: one with a module market and another without. Our results reveal that opening a module market is not always profitable for the manufacturer, except when the module production cost is extremely low. When opening it is less profitable, the manufacturer can boost profits by raising the module price, increasing salvage value, and reducing costs through remanufacturing. Regarding collection quantity, our findings reveal that a module market, particularly with high module costs and durability, increases trade-in quantity, challenging the conventional expectations of market share erosion.

This study investigates effects of imported intermediate inputs on firms' productivity in the Indian manufacturing. We use a panel data of manufacturing firms from 2001 to 2021 and adopt the production function approach for analysis. Our results confirm the crucial role of all three imported input types at aggregated and disaggregated levels. However, the productivity effect of imported raw materials is the largest, followed by finished goods and capital inputs. Results show the role of imports is marginally higher for high innovation, specialist-suppliers and science-based industries. We also show that spillover effects of foreign technology embodied in imported capital goods.