Search results

1 – 10 of 72
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 19 October 2023

Lin Fu, Rui Long, Xiaohua Sun and Yun Wang

The purpose of this study is to analyze the effect of foreign direct investment (FDI) on pollution emissions and how environmental regulation affects this relationship.

166

Abstract

Purpose

The purpose of this study is to analyze the effect of foreign direct investment (FDI) on pollution emissions and how environmental regulation affects this relationship.

Design/methodology/approach

In the empirical research, the authors selected panel data for 30 provinces in China from 2005 to 2019 as samples. First, the authors used the instrumental variable method to verify the existence of the above hypotheses in China. Then, the authors analyzed the moderating effect of different types of environmental regulations on the environmental effects of FDI. Next, in further discussion, the authors analyzed the difference between the environmental effect and the moderating effect in different time periods and regions, respectively. Finally, the authors discussed whether the different intensities of environmental regulations lead to the transfer effect of FDI in choosing investment destinations.

Findings

The result shows that FDI can help reduce pollution emissions and create a “pollution halo” effect, which is enhanced by command-and-control regulation but suppressed by market-based incentives. The heterogeneity analysis reveals that the 18th National Congress of the Communist Party has weakened the pollution halo effect of FDI, while the environmental effect of FDI in the eastern region is not significant, but in the middle and western regions, there is a significant pollution halo effect and a positive moderating effect of environmental regulations. Finally, further analysis reveals that FDI has a transfer effect under command-and-control environmental regulations.

Research limitations/implications

First, the main purpose of this paper is to study the relationship between FDI and pollution emissions from the perspective of heterogeneous environmental regulation. Therefore, there is no detailed discussion on their effect mechanism of them. Second, limited by data, the authors adopt the single index to measure the stringency index of command-and-control and market-based incentive environmental regulations in China. The single index may not be able to fully reflect the intensity of regional environmental regulation, so the construction of a composite indicator is necessary. These shortcomings are the focus of the authors' future research.

Practical implications

Under the guidance of high-quality development, the conclusions above can provide reference for adjusting FDI policies and improving environmental regulation policies.

Originality/value

The innovations in this paper can be summarized as the following four dimensions: First, the authors use the instrumental variable (IV) method to address endogeneity in the relationship between FDI and pollution emission, which can further ensure the robustness of the research results and increases the credibility of the paper. Second, the authors distinguish between two types of environmental regulations to investigate their moderating effect on the environmental impact of FDI. Third, the authors consider the temporal and spatial heterogeneity of both the environmental effects of FDI and the moderating effect of regulation. Last, the authors analyze the spatial spillover of environmental regulation through the study of the transfer effect.

Details

Management of Environmental Quality: An International Journal, vol. 35 no. 2
Type: Research Article
ISSN: 1477-7835

Keywords

Access Restricted. View access options
Article
Publication date: 25 April 2022

Junnan Zhang, Xiaohua Sun, Yan Dong, Lin Fu and Yaowei Zhang

Servitization has been used widely by manufacturing firms to secure strategic positions in industrial transformation. However, its impact on firms’ market power remains to be…

937

Abstract

Purpose

Servitization has been used widely by manufacturing firms to secure strategic positions in industrial transformation. However, its impact on firms’ market power remains to be investigated, especially in developing countries. This study aims to investigate servitization’s impact on firms’ market power, along with the moderating roles of research and development (R&D) intensity and firm size.

Design/methodology/approach

Using the two-stage least squares with instrumental variables (2SLS-IV) method, the authors conduct an empirical analysis of servitization in China based on panel data for 1,797 publicly traded manufacturing firms during the period 2012–2018.

Findings

The findings show that servitization helps increase a firm’s market power. Furthermore, heterogeneity analysis suggests that embedded servitization increases a firm’s market power, whereas hybrid servitization reduces it. The findings also indicate that this effect varies depending on critical firm conditions. Servitization’s effect on firms’ market power increases with R&D intensity but decreases with manufacturer expansion.

Research limitations/implications

This study describes the positive effects of servitization on firms’ market power in response to calls for research that will adopt a comprehensive business performance perspective on the servitization field.

Practical implications

The findings provide guidance for what type of servitization manufacturing firms should choose and how it fits with their size and R&D capabilities.

Originality/value

This pioneering empirical study uses a large longitudinal data set and the 2SLS-IV method to examine the effects of embedded servitization and hybrid servitization on firms’ market power. The findings provide a new perspective on ongoing discussions of “desertification” and the “service paradox.”

Details

Journal of Business & Industrial Marketing, vol. 38 no. 3
Type: Research Article
ISSN: 0885-8624

Keywords

Access Restricted. View access options
Article
Publication date: 11 May 2022

Zhenshuang Wang, Yanxin Zhou, Xiaohua Jin, Ning Zhao and Jianshu Sun

Public-private partnership (PPP) projects for construction waste recycling have become the main approach to construction waste treatment in China. Risk sharing and income…

786

Abstract

Purpose

Public-private partnership (PPP) projects for construction waste recycling have become the main approach to construction waste treatment in China. Risk sharing and income distribution of PPP projects play a vital role in achieving project success. This paper is aimed at building a practical and effective risk sharing and income distribution model to achieve win–win situation among different stakeholders, thereby providing a systematic framework for governments to promote construction waste recycling.

Design/methodology/approach

Stakeholders of construction waste recycling PPP projects were reclassified according to the stakeholder theory. Best-worst multi–criteria decision-making method and comprehensive fuzzy evaluation method (BWM–FCE) risk assessment model was constructed to optimize the risk assessment of core stakeholders in construction waste recycling PPP projects. Based on the proposed risk evaluation model for construction waste recycling PPP projects, the Shapley value income distribution model was modified in combination with capital investment, contribution and project participation to obtain a more equitable and reasonable income distribution system.

Findings

The income distribution model showed that PPP Project Companies gained more transaction benefits, which proved that PPP Project Companies played an important role in the actual operation of PPP projects. The policy change risk, investment and financing risk and income risk were the most important risks and key factors for project success. Therefore, it is of great significance to strengthen the management of PPP Project Companies, and in the process of PPP implementation, the government should focus on preventing the risk of policy changes, investment and financing risks and income risks.

Practical implications

The findings from this study have advanced the application methods of risk sharing and income distribution for PPP projects and further improved PPP project-related theories. It helps to promote and rationalize fairness in construction waste recycling PPP projects and to achieve mutual benefits and win–win situation in risk sharing. It has also provided a reference for resource management of construction waste and laid a solid foundation for long-term development of construction waste resources.

Originality/value

PPP mode is an effective tool for construction waste recycling. How to allocate risks and distribute benefits has become the most important issue of waste recycling PPP projects, and also the key to project success. The originality of this study resides in its provision of a holistic approach of risk allocation and benefit distribution on construction waste PPP projects in China as a developing country. Accordingly, this study adds its value by promoting resource development of construction waste, extending an innovative risk allocation and benefit distribution method in PPP projects, and providing a valuable reference for policymakers and private investors who are planning to invest in PPP projects in China.

Details

Engineering, Construction and Architectural Management, vol. 30 no. 9
Type: Research Article
ISSN: 0969-9988

Keywords

Access Restricted. View access options
Article
Publication date: 18 January 2022

Rensheng Wang, Cong Sun, Shichao Xiu, Bo Li and Xiaohua Zhang

This paper aims to study the effects of the different processing parameters in the reciprocating magnetorheological polishing (RMRP) on the surface roughness (Ra) and material…

436

Abstract

Purpose

This paper aims to study the effects of the different processing parameters in the reciprocating magnetorheological polishing (RMRP) on the surface roughness (Ra) and material removal rate (MRR) of the workpiece surface.

Design/methodology/approach

The principle of RMRP method is discussed, and a series of the single factor experiments are performed to evaluate the effects of the workpiece’s rotational speed, the reciprocating frequency, the magnetic field strength, the working gap and the processing time on machining results using the RMRP device.

Findings

The RMRP method is effective and practical for K9 glass polishing, and the optimized processing parameters are obtained by the single factor experiments of RMRP. The surface roughness of the workpiece is reduced from 332 nm to 28 nm under optimized processing parameters.

Originality/value

In the present study, the RMRP method is proposed, and a system of experiments is carried out using the RMRP device. The RMRP device can improve the surface roughness and MRR of the K9 glass significantly. Furthermore, the test results provide references for reasonable selection of the processing parameters in magnetorheological polishing process.

Details

Industrial Lubrication and Tribology, vol. 74 no. 2
Type: Research Article
ISSN: 0036-8792

Keywords

Access Restricted. View access options
Article
Publication date: 10 May 2023

Rensheng Wang, Cong Sun, Shichao Xiu, Qi Wang, Xiaohua Zhang and Qi Zhao

This paper aims to study the influence of the different parameters of magnetorheological polishing fluids (MRP fluids) on the surface roughness and material removal rate (MRR) of…

77

Abstract

Purpose

This paper aims to study the influence of the different parameters of magnetorheological polishing fluids (MRP fluids) on the surface roughness and material removal rate (MRR) of the workpiece surface in the reciprocating magnetorheological polishing (RMRP) process.

Design/methodology/approach

A series of single-factor experiments are performed to evaluate the influence of the concentration of magnetic particles, concentration of abrasive particles and size of abrasive particles on surface processing effects by using the RMRP method. Moreover, the yield stress and viscosity of MRP fluids are studied based on the Bingham plastic model by varying the MRP fluids parameters.

Findings

A reasonable parameter of MRP fluids is crucial to the surface roughness and MRR of the workpiece surface, and the optimized parameters are obtained by the single-factor experiments of RMRP. The results are when the concentration of carbonyl iron particles is 40 Vol.%, the concentration of CeO2 is 5 Vol.% and the size of CeO2 is 2.5 µm in the MRP fluids, the surface roughness of the workpiece remarkably decreases to 28 nm from the initial 332 nm and the MRR of the workpiece increases to 0.118 mg/min.

Originality/value

In this study, the single-factor experiments for the different parameters of MRP fluids are studied to polish K9 glass by using the RMRP device, and the yield stress and viscosity of MRP fluids are investigated by rheological experiments, which provides reference for a reasonable selection of the MRP fluids parameter in RMRP process.

Details

Industrial Lubrication and Tribology, vol. 75 no. 5
Type: Research Article
ISSN: 0036-8792

Keywords

Access Restricted. View access options
Article
Publication date: 2 February 2018

Yonghe Lu and Xiaohua Liu

Understanding the customers’ habits of getting cosmetic products information is of great importance to enhance the effectiveness of advertising and marketing strategy of…

1372

Abstract

Purpose

Understanding the customers’ habits of getting cosmetic products information is of great importance to enhance the effectiveness of advertising and marketing strategy of cosmetics. In China, as females are the major target customers of cosmetics, this paper aims to analyze the information behaviors of obtaining cosmetics information of different women groups, including the preferences of information channels and the corresponding means of getting information.

Design/methodology/approach

This research is based on a questionnaire survey. A total of 419 effective questionnaires were collected from females who had bought cosmetics in China. Descriptive statistics and chi-square analysis were used to analyze the data.

Findings

According to the result of the questionnaire survey, women preferred to get information through social platforms and physical stores. And the primary reason of the choice was that they believed the information from the channel they chose was reliable. The survey also revealed that age, educational level and occupation would significantly affect their preferences of information channels.

Originality/value

There was no previous research which analyzed Chinese women consumers’ information-seeking behaviors about cosmetic products information as well as the influence factors of the behaviors.

Details

Global Knowledge, Memory and Communication, vol. 67 no. 3
Type: Research Article
ISSN: 0024-2535

Keywords

Access Restricted. View access options
Article
Publication date: 24 December 2020

Isaac Akomea-Frimpong, Xiaohua Jin and Robert Osei-Kyei

Globally, the management of financial risks has gained much attention in the public–private partnerships (PPP) market in recent years. Existing studies rank financial risks among…

3003

Abstract

Purpose

Globally, the management of financial risks has gained much attention in the public–private partnerships (PPP) market in recent years. Existing studies rank financial risks among the topmost risk factors that determine the success or failure of a PPP project. As essential for managing financial risks, a systematic review of previous studies on financial risk management of PPP from 1995 to 2019 (inclusive of both years) has been presented in this paper.

Design/methodology/approach

The paper undertakes a systematic analysis of 49 relevant and available studies on financial risk management of PPP projects.

Findings

From the results, high-interest charges, increased construction costs and increased market risks are some of the key financial risks hampering the success of PPP projects. Techniques used to assess financial risks include Monte Carlo Simulation (MCS) and Net Present Value (NPV). Financial risks control adopted by project managers include minimum revenue guarantee and real option pricing. Extremely limited studies on financial risk management in PPP projects in developing economies was revealed.

Practical implications

Project managers in developing financial risk management models may use the outcome of this paper to improve the financial success of PPP projects. Holistically, researchers will be guided to investigate and heighten the pertinent issues on financial risk management of PPP projects in academia.

Originality/value

The results provide a rare guide to project managers in controlling financial risks of PPP projects which is an unexplored topic. It is also the first paper to highlight the issues of financial risk management in PPP projects research.

Details

Engineering, Construction and Architectural Management, vol. 28 no. 9
Type: Research Article
ISSN: 0969-9988

Keywords

Access Restricted. View access options
Article
Publication date: 15 June 2021

Xiaoheng Zhang and Xiaohua Yu

Overuse of chemical fertilizers and pesticides is a major policy concern for many countries. Chinese government has adopted many technologies and management practices to reduce…

449

Abstract

Purpose

Overuse of chemical fertilizers and pesticides is a major policy concern for many countries. Chinese government has adopted many technologies and management practices to reduce their use. However, little is known about the effects of social-economic method such as short supply chain (SSC) participation. SSC is an important organizational innovation in fresh food supply chains aiming at directly connecting farmers and consumers. Closer relationships between farmers and consumers may result in production behavioral changes. Thus the purpose of this paper is to investigate the impacts of SSC participation on agrochemicals application.

Design/methodology/approach

Based on the household level data collected from Jiangsu province in China, this paper employs an instrumental variable (IV) method to address the self-selection bias when we evaluate the effects of SSC participation on use of chemical fertilizer and pesticides. In addition, this paper also distinguishes between growth inputs and facilitating inputs in the production function when we calculate the marginal production values of chemical fertilizer and pesticides.

Findings

The empirical results show that SSC participation significantly reduces chemical fertilizer use by 351 kg and pesticides costs by 1659 Yuan (RMB) per hectare, accounting for 43.4% of the average chemical fertilizer use and 49.4% of the average pesticide costs, respectively for Chinese vegetable farms. However, SSC participation still cannot improve the use efficiency of agrochemicals.

Originality/value

This paper uses both application quantities and allocation efficiencies of chemical fertilizer and pesticides to comprehensively evaluate the effects of SSC participations. The results will reveal the core role of SSC played in promoting sustainable development of Chinese agricultural sector dominated by small-scale farmers.

Details

China Agricultural Economic Review, vol. 13 no. 4
Type: Research Article
ISSN: 1756-137X

Keywords

Access Restricted. View access options
Article
Publication date: 8 September 2022

Chang Liu, Lin Zhou, Lisa Höschle and Xiaohua Yu

The study uses machine learning techniques to cluster regional retail egg prices after 2000 in China. Furthermore, it combines machine learning results with econometric models to…

600

Abstract

Purpose

The study uses machine learning techniques to cluster regional retail egg prices after 2000 in China. Furthermore, it combines machine learning results with econometric models to study determinants of cluster affiliation. Eggs are an inexpensiv, nutritious and sustainable animal food. Contextually, China is the largest country in the world in terms of both egg production and consumption. Regional clustering can help governments to imporve the precision of price policies and help producers make better investment decisions. The results are purely driven by data.

Design/methodology/approach

The study introduces dynamic time warping (DTW) algorithm which takes into account time series properties to analyze provincial egg prices in China. The results are compared with several other algorithms, such as TADPole. DTW is superior, though it is computationally expensive. After the clustering, a multinomial logit model is run to study the determinants of cluster affiliation.

Findings

The study identified three clusters. The first cluster including 12 provinces and the second cluster including 2 provinces are the main egg production provinces and their neighboring provinces in China. The third cluster is mainly egg importing regions. Clusters 1 and 2 have higher price volatility. The authors confirm that due to transaction costs, the importing areas may have less price volatility.

Practical implications

The machine learning techniques could help governments make more precise policies and help producers make better investment decisions.

Originality/value

This is the first paper to use machine learning techniques to cluster food prices. It also combines machine learning and econometric models to better study price dynamics.

Details

China Agricultural Economic Review, vol. 15 no. 2
Type: Research Article
ISSN: 1756-137X

Keywords

Access Restricted. View access options
Article
Publication date: 16 May 2023

Sha Xu, Jie He, Alastair M. Morrison, Xiaohua Su and Renhong Zhu

Drawing from resource orchestration theory, this research proposed an integrative model that leverages insights into counter resource constraints and uncertainty in start-up…

633

Abstract

Purpose

Drawing from resource orchestration theory, this research proposed an integrative model that leverages insights into counter resource constraints and uncertainty in start-up business model innovation (BMI). It investigated the influences of entrepreneurial networks and effectuation on BMI through bricolage in uncertain environments.

Design/methodology/approach

The research surveyed 481 start-ups in China. LISREL 8.80 and SPSS 22.0 were employed to test the validity and reliability of key variables, respectively. Additionally, hypotheses were examined through multiple linear regression.

Findings

First, entrepreneurial networks and effectuation were positively related to BMI, and combining these two factors improved BMI for start-ups. Second, bricolage contributed to BMI and played mediating roles in translating entrepreneurial networks and effectuation into BMI. Third, environmental uncertainty weakened the linkage between bricolage and BMI.

Research limitations/implications

Future research should replicate the results in other countries because only start-ups in China were investigated in the study, and it is necessary to extend this research by gathering longitudinal data. This research emphasized the mediating effects of bricolage and the moderating influence of environmental uncertainty, and new potential mediating and moderating factors should be explored between resources and BMI.

Originality/value

There are three significant theoretical contributions. First, the findings enrich the literature on the complex antecedents of BMI by combining the impacts of entrepreneurial networks and effectuation. Second, an overarching framework is proposed explaining how bricolage (resource management) links entrepreneurial networks and effectuation and BMI. Third, it demonstrates the significance of environmental uncertainty in the bricolage–BMI linkage, deepening the understanding of the bricolage boundary condition.

Details

European Journal of Innovation Management, vol. 27 no. 8
Type: Research Article
ISSN: 1460-1060

Keywords

1 – 10 of 72
Per page
102050