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The purpose of this study is to investigate the impacts of surface ozone pollution on rice profit, output and variable inputs in China.

This study estimates the rice profit function using county-level rice production data and ozone monitoring data in 2014 and 2015 to capture the impact of ozone pollution on rice profit. Then, it uses dual approach to identify the impacts of ozone on the supply of rice and the demand for variable inputs. The ozone concentration data are obtained from 1,412 monitoring stations established by the National Environmental Monitoring Centre of China.

The results show that surface ozone would significantly reduce rice profits; a 1% increase in (the daily average ozone concentration from 9 am to 4 pm) leads to a 0.1% decrease in profits. In addition, ozone has a negative impact on the levels of inputs and the supply of rice, and the elasticities of rice output, fertilizer input and labour input with respect to are −0.87, −0.86 and −0.78%, respectively. These results suggest that ozone pollution affects rice production via two channels: the direct damage on rice growth and the indirect negative impact of reducing variable inputs.

This study estimates the impacts of surface ozone pollution on rice profit and output, and quantifies its influence on variable inputs in China, which provides a better understanding of farmers' adaptation behaviour.

The purpose of this paper is to study the moderating role of corporate social responsibility (CSR) in the knowledge asset–firm financial performance relationship.

This paper first develops hypotheses based on multiple theoretical lenses and uses a sample of 3,030 US firms in 51 industries over 11 years to test these hypotheses.

It is found that CSR positively moderates the relationship between research and development (R&D) investments and the firm's financial performance, and the moderating effect declines when firms mistreat their employees.

This paper provides evidence that when firms allocate their resources, they should consider the synthetic effect among different activities such as R&D and CSR.

First, this study offers a new and alternate mechanism for the appropriability literature and also extends the boundary of CSR research. Second, this work shifts the CSR performance thought by considering CSR as an enabler rather than a driver for performance.

Wang has focused on the relationship between Das Kapital and the political economy in the broad sense. Numerous ideas covering the political economy in the broad sense are involved in the overall structure of Das Kapital, methodology of historical materialism and analyses of the historical fate of capitalist system. The paper aims to discuss these issues.

In broad outline, the Asiatic, ancient, feudal and modern bourgeois modes of production may be designated as epochs, marking progress in the economic development of society (Wang, 2007b). Historical materialism provides a new, scientific and objective explanation for understanding the dialectical development laws of society. It is crucial for constructing the theoretical system of a political economy in the broad sense. It could be said that it is the key to solving the puzzle of the historical course of social development.

Today, economic relations between the world’s top two economies have merged with each other. How can two countries with different systems trade with each other so well? These questions can no longer be answered with traditionally narrow political economic theory. The authors have to seek these answers from the perspective of a political economy in the broad sense.

Numerous ideas covering the political economy in the broad sense are involved in the overall structure of Das Kapital, methodology of historical materialism, and analyses of the historical fate of capitalist system.

Over the past 20 years, China's infrastructure has developed at an extraordinary speed. The current literature mainly focuses on the effects of political incentives on the infrastructure. However, this paper indicates that the structural change of China's land regime is an important clue and that the supernormal development of China's infrastructure is an explicable result for that.

This paper theoretically proves that in a politically centralized and economically decentralized economic entity with a public land-ownership regime, the self-financing mechanism formed by local officials through regulation of the land-grant price is the primary factor that influences the optimal supply volume of infrastructure in a region, in addition to political and economic incentives, and whether the self-financing mechanism can be formed or not depends on the structure of a country's land regime, which can help to explain the difference between the development of infrastructure in China and that in other developing countries from a theoretical angle.

The paper suggests that the mode is facing an important transformation toward land reform and new-type urbanization construction, and the replication and promotion of China's experience in infrastructure construction are of further significance under the Belt and Road Initiative as it provides a method for helping developing countries to eliminate infrastructure bottlenecks.

Through the test of multinational panel data, the paper indicates that the structural change of China's land regime around 1990 had an overall effect on the supernormal development of infrastructure in China. The paper indicates that the “land-based development mode” of China's infrastructure indeed contributed to the supernormal development of infrastructure in China, but there are still some shortcomings in this mode.

The purpose of this paper is to investigate Chinese farmers’ adaptation behavior in the context of the rising cost of labor in agriculture. As the cost of labor increases, farmers will either reallocate their budget to different inputs or change the structure of agricultural production to maximize profit.

The Rural Fixed Point Observation data set between 2004 and 2010 is employed in the empirical analysis of this study. Both the compensated and uncompensated demand elasticities with respect to wages are estimated by adopting the translog cost function and the profit function.

The results show that labor input will drop down significantly as a response to rising wages. Land, fertilizer and intermediate inputs are net complements of labor, whereas machinery appears to be net substitute for labor. In addition, the authors also separate the expansion effect from the substitution effect and find that farmers will shift to grain production with intensive use of fertilizer and from wheat and corn to rice as a response to the rising cost of labor.

This study adopts the classical household model to incorporate various adaptation behaviors of farmers into one framework and decomposes the total effect of the rising cost of labor on input demand into an expansion effect and a substitution effect, which provides a better understanding of farmers’ adaptation behavior.

This paper aims to present the design and implementation of a new general-purpose single-phase buck-type inverter.

The operation of the proposed inverter is based on the general-purpose buck converter. The proposed buck-type inverter topology is designed with reduced numbers of passive and active elements to minimize design cost and complexity. Also, an efficient hybrid control technique based on the proportional‐integral‐derivative (PID) supported by open-loop control signal is offered for the control of the proposed inverter. The proposed hybrid control method improves the performance of the PID controller during the change of inverter operation parameters. A close to single-phase sine wave output voltage with low total harmonic distortion (THD) can be produced by the proposed inverter in a wide range of voltage and frequency lower than the inverter input voltage value.

Simulation and experimental test studies are applied to the proposed inverter. The experimental laboratory setup is built for 0–50 Hz, 0–100 Vp, 0.5 kW. Both the simulation and the experimental test results show that the single-phase inverter can produce close to sine wave output voltage with THD level under 5% in a wide range of frequency for various operating conditions and for different loads.

In this paper, a new topology and a new hybrid control technique that are patented by the corresponding author are implemented for a single-phase buck-type inverter through a scientific project. The operating results of the study reveal the efficient operating capability with a simple topology structure.

The purpose of this paper is to test the mediating role of top management team (TMT) team trust in examining the relationship between team processes (internal and external) and human resource management (HRM) decision performance (quality and satisfaction) in the context of the People’s Republic of China.

The sample data of this study include 524 team members from 76 TMTs in east China’s Shanghai, Jiangsu, Zhejiang, Anhui provinces. IBM SPSS AMOS 22.0 software was employed for the data analysis.

The study finds that TMT internal and external processes have significant positive effects on HRM decision quality and satisfaction. The study further finds that TMT team trust partially mediates the relationship between TMT processes (internal and external processes) and HRM decision quality and satisfaction.

This research provides useful insights into the role of TMT team trust in enhancing managerial decision performance.

This study is among the limited studies that explore the influence of team trust in the relationship between TMT processes (internal and external processes) and HRM decision quality and satisfaction among TMTs in China. This study has extended TMT knowledge in mainstream management with guidelines on how to enhance organizational decision performance.

This paper aims to research the relationship between income gap (IG) and green economic growth based on the perspective of economic inequality.

Based on the panel data of 283 prefecture-level cities in China from 2011 to 2020, this paper uses the super slack based model (Super-SBM) to measure the efficiency of regional green economic growth, and constructs a regression model of the IG and regional green economic growth.

Firstly, the IG has an inhibitory effect on the growth of regional green economy (GE). Secondly, the relationship between the IG and regional green economic growth will be affected by the threshold value of income level. Thirdly, environmental regulation and government competition will increase the inhibitory effect of the IG.

According to the characteristics of China's regional economy, the researchers construct an empirical model of the IG and green economic growth to study their relationship, the threshold effect of income level and the moderating effect of environmental regulation and local government competition. The research content, methods and conclusions of this paper provide new evidence for the sustainable growth of China's regional GE.

The purpose of this paper is to explore the role that the emotional expressions (i.e. emotional masking and emotional sharing) of students play in fostering positive implicit abilities, as indicated by learning, interpersonal skills and the ability to acquire a supervisor’s support. By introducing a new theory of creative expressiveness, the authors have further examined whether college students’ creative thinking is significantly associated with their emotional expression.

This paper establishes a conceptual framework to map the relationships between students’ emotional expressions, their implicit abilities and their creative abilities. Scale measures of these constructs were built, and a total of 400 questionnaires were distributed at universities in Hefei and Nanjing. Finally, ordinary least squares estimations were conducted to provide quantitative estimations.

The empirical results show that emotional sharing is significantly positive for college students’ implicit and creative abilities, while emotional masking is negatively related to students’ implicit abilities and creativity. Moreover, the effects of emotional sharing by college students on their creative abilities are partially mediated by students’ implicit abilities.

It is necessary to emphasize emotional sharing in education and to create a friendly atmosphere for students, in which they can feel comfortable expressing themselves in class. Likewise, students should learn to improve their expressive abilities, particularly how to express and share their inner feelings and emotions, since this will contribute to their creative thinking.

It is increasingly being recognized in organizational science that emotions and the way they are experienced and expressed by employees in work environments have fundamental impacts on work-related outcomes. However, limited attention has been given to the impacts of emotional expression on students’ learning performances and creativity abilities, especially in the Chinese context where students are more reluctant to express their emotions and ideas. Thus, by introducing a new theory of creative expressiveness to examine the benefits of emotional expression for students’ implicit abilities and creative thinking, the authors have sought to extend prior research on the cultivation of college students’ creative abilities.

Forecasts of commodity prices are vital issues to market participants and policy makers. Those of corn are of no exception, considering its strategic importance. In the present study, the authors assess the forecast problem for the weekly wholesale price index of yellow corn in China during January 1, 2010–January 10, 2020 period.

The authors employ the nonlinear auto-regressive neural network as the forecast tool and evaluate forecast performance of different model settings over algorithms, delays, hidden neurons and data splitting ratios in arriving at the final model.

The final model is relatively simple and leads to accurate and stable results. Particularly, it generates relative root mean square errors of 1.05%, 1.08% and 1.03% for training, validation and testing, respectively.

Through the analysis, the study shows usefulness of the neural network technique for commodity price forecasts. The results might serve as technical forecasts on a standalone basis or be combined with other fundamental forecasts for perspectives of price trends and corresponding policy analysis.