Search results

1 – 4 of 4
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 2 September 2021

Ling-Yun He and Hongzhen Zhang

Inspired by the comparison of charity donations among candidates in rural elections, the authors linked the non-profit motives of charity to corporate pollution emissions. And on…

346

Abstract

Purpose

Inspired by the comparison of charity donations among candidates in rural elections, the authors linked the non-profit motives of charity to corporate pollution emissions. And on this basis, the authors aim to provide theoretical and empirical explanations for the relationship between corporate philanthropy and pollution. The authors find that the desire to pursue more pollution emissions stimulates the firm's philanthropy, which is similar to the public welfare donations in rural elections.

Design/methodology/approach

Firstly, the authors construct a game-theoretical framework consisting of an entrepreneur and a bureaucrat to study the environmental cost of corporate philanthropy through the impact on pollution emission by the firm. Secondly, the authors used various empirical methods, including hybrid OLS, IV-2SLS, PSM, etc., to empirically test the impact of a firm's philanthropy on corporate pollution emissions. Finally, the authors use the output and abatement input as intermediary variables and apply the intermediary effect model to test the impact mechanism between corporate philanthropy and corporate pollution emissions.

Findings

Theoretical model finds that the firm invests more in philanthropy discharges more emissions when the theoretical model is in political equilibrium. Besides, empirical results show that corporate philanthropy will lead to more pollution emissions by reducing abatement input and increasing production. Finally, the heterogeneity test finds that compared with state-owned enterprises, the intention of non-state-owned enterprises' philanthropy for more pollution emission is more obvious. Moreover, the improvement of regional environmental regulation can significantly inhibit the realization of corporate philanthropy's poor motive.

Practical implications

The results have obvious policy implications for China's future policy-making. Firstly, regulatory agencies should pay close attention to the charitable behaviors of firms with serious negative environmental externalities, and prevent them from replacing more pollution emissions with philanthropy. Besides, due to weak environmental supervision in rural areas, rural polluting enterprises will be more inclined to make charitable donations to the village collective to obtain more emission rights. Therefore, the government should strengthen environmental supervision in rural areas to prevent enterprises from wanton pollution.

Originality/value

By constructing a game-theoretical framework consisting of an entrepreneur and a bureaucrat, the authors expound on corporate philanthropy's pollution motivation and decision-making mechanism for the first time in theory. Besides, this paper finds that the desire to pursue more pollution emissions also stimulates the firm's philanthropy. This paper expands the literature on corporate charitable donation motivations.

Details

China Agricultural Economic Review, vol. 14 no. 1
Type: Research Article
ISSN: 1756-137X

Keywords

Access Restricted. View access options
Article
Publication date: 29 March 2013

Hongzhen Lei and Juanli Lan

This paper aims to prove the validity and necessity of knowledge stickiness and knowledge investment level.

249

Abstract

Purpose

This paper aims to prove the validity and necessity of knowledge stickiness and knowledge investment level.

Design/methodology/approach

Empirical study method is taken in this investigation which focuses on knowledge‐related industries' workers and proves the validity and necessity of knowledge stickiness and knowledge investment level with SPSS13.0 software.

Findings

The authors confirm the positive correlation between knowledge contribution and sharing residual claims based on management, and also confirm the positive correlation between knowledge stickiness, knowledge investment level and sharing residual claims based on technology. However, a negative correlation on management is also confirmed.

Originality/value

After an analysis on the incentive distortion caused by the information asymmetry between the principal and agent in the traditional incentive mode, a residual claims sharing structure containing knowledge contract is put forward.

Details

Journal of Knowledge-based Innovation in China, vol. 5 no. 1
Type: Research Article
ISSN: 1756-1418

Keywords

Access Restricted. View access options
Article
Publication date: 25 December 2023

Umair Khan, William Pao, Karl Ezra Salgado Pilario, Nabihah Sallih and Muhammad Rehan Khan

Identifying the flow regime is a prerequisite for accurately modeling two-phase flow. This paper aims to introduce a comprehensive data-driven workflow for flow regime…

162

Abstract

Purpose

Identifying the flow regime is a prerequisite for accurately modeling two-phase flow. This paper aims to introduce a comprehensive data-driven workflow for flow regime identification.

Design/methodology/approach

A numerical two-phase flow model was validated against experimental data and was used to generate dynamic pressure signals for three different flow regimes. First, four distinct methods were used for feature extraction: discrete wavelet transform (DWT), empirical mode decomposition, power spectral density and the time series analysis method. Kernel Fisher discriminant analysis (KFDA) was used to simultaneously perform dimensionality reduction and machine learning (ML) classification for each set of features. Finally, the Shapley additive explanations (SHAP) method was applied to make the workflow explainable.

Findings

The results highlighted that the DWT + KFDA method exhibited the highest testing and training accuracy at 95.2% and 88.8%, respectively. Results also include a virtual flow regime map to facilitate the visualization of features in two dimension. Finally, SHAP analysis showed that minimum and maximum values extracted at the fourth and second signal decomposition levels of DWT are the best flow-distinguishing features.

Practical implications

This workflow can be applied to opaque pipes fitted with pressure sensors to achieve flow assurance and automatic monitoring of two-phase flow occurring in many process industries.

Originality/value

This paper presents a novel flow regime identification method by fusing dynamic pressure measurements with ML techniques. The authors’ novel DWT + KFDA method demonstrates superior performance for flow regime identification with explainability.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 34 no. 8
Type: Research Article
ISSN: 0961-5539

Keywords

Access Restricted. View access options
Article
Publication date: 19 February 2024

Denis Klimanov and Olga Tretyak

This paper aims to review and summarize the findings of research dedicated to studying the process of building sustainable business models (BM) triggered by development of…

209

Abstract

Purpose

This paper aims to review and summarize the findings of research dedicated to studying the process of building sustainable business models (BM) triggered by development of COVID-19 pandemic.

Design/methodology/approach

Bibliometric analysis is performed to identify the papers most relevant to the topic. The authors review the findings of more than 50 papers from Scopus database published between 2020 and 2022 dedicated to studying BM during COVID-19 pandemic, as well as papers dedicated to sustainability phenomenon and most cited BM research.

Findings

The paper identifies the gap in defining BM sustainability and contributes to better understanding of this phenomenon by demarcating it from traditional environment-based United Nations agenda. It also describes why network-based approach to BM helps to better address sustainability aspects. The paper demonstrates how representation of a networked BM by three levels of analysis (namely, structure of a BM, interaction mechanism between BM actors and results of their interaction) is organically connected to the key milestones of the value creation process (value definition, value creation, value distribution and value capture) and shows how these three levels can be used to analyze and structure the practical changes proposed in COVID-19-oriented BM. Finally, the paper summarizes key findings of the studies dedicated to BM during the pandemic and structures key insights in relation to building sustainable BM.

Research limitations/implications

The results of the paper contribute to developing theory around BM sustainability as well as provide insights for business practitioners on how to adjust BM during the crisis. At the same time, many insights shown in the paper are industry specific, which limits their generalizability, as well as consequences of the pandemic are still not fully clear. Therefore, the authors argue that future research should be primarily focused on developing generalizable measurement frameworks to evaluate the antecedents, process and results of BM adaptation.

Originality/value

The paper strengthens theoretical foundations for the research focused on BM sustainability and helps businesses to better manage the adaptation in the fast-changing environment.

Details

Journal of Business & Industrial Marketing, vol. 39 no. 8
Type: Research Article
ISSN: 0885-8624

Keywords

1 – 4 of 4
Per page
102050