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1 – 4 of 4Chunqiu Xu, Fengzhi Liu, Yanjie Zhou, Runliang Dou, Xuehao Feng and Bo Shen
This paper aims to find optimal emission reduction investment strategies for the manufacturer and examine the effects of carbon cap-and-trade policy and uncertain low-carbon…
Abstract
Purpose
This paper aims to find optimal emission reduction investment strategies for the manufacturer and examine the effects of carbon cap-and-trade policy and uncertain low-carbon preferences on emission reduction investment strategies.
Design/methodology/approach
This paper studied a supply chain consisting of one manufacturer and one retailer, in which the manufacturer is responsible for emission reduction investment. The manufacturer has two emission reduction investment strategies: (1) invest in traditional emission reduction technologies only in the production process and (2) increase investment in smart supply chain technologies in the use process. Then, three different Stackelberg game models are developed to explore the benefits of the manufacturer in different cases. Finally, this paper coordinates between the manufacturer and the retailer by developing a revenue-sharing contract.
Findings
The manufacturer's optimal emission reduction strategy is dynamic. When consumers' low-carbon preferences are low and the government implements a carbon cap-and-trade policy, the manufacturer can obtain the highest profit by increasing the emission reduction investment in the use process. The carbon cap-and-trade policy can encourage the manufacturer to reduce emissions only when the initial carbon emission is low. The emission reduction, order quantity and the manufacturer's profit increase with the consumers' low-carbon preferences. And the manufacturer can adjust the emission reduction investment according to the emission reduction cost coefficient in two processes.
Originality/value
This paper considers the investment of emission reduction technologies in different processes and provides theoretical guidance for manufacturers to make a low-carbon transformation. Furthermore, the paper provides suggestions for governments to effectively implement carbon cap-and-trade policy.
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Keywords
Jiandong Lu, Xiaolei Wang, Liguo Fei, Guo Chen and Yuqiang Feng
During the coronavirus disease 2019 (COVID-19) pandemic, ubiquitous social media has become a primary channel for information dissemination, social interactions and recreational…
Abstract
Purpose
During the coronavirus disease 2019 (COVID-19) pandemic, ubiquitous social media has become a primary channel for information dissemination, social interactions and recreational activities. However, it remains unclear how social media usage influences nonpharmaceutical preventive behavior of individuals in response to the pandemic. This paper aims to explore the impacts of social media on COVID-19 preventive behaviors based on the theoretical lens of empowerment.
Design/methodology/approach
In this paper, survey data has been collected from 739 social media users in China to conduct structural equation modeling (SEM) analysis.
Findings
The results indicate that social media empowers individuals in terms of knowledge seeking, knowledge sharing, socializing and entertainment to promote preventive behaviors at the individual level by increasing each person's perception of collective efficacy and social cohesion. Meanwhile, social cohesion negatively impacts the relationship between collective efficacy and individual preventive behavior.
Originality/value
This study provides insights regarding the role of social media in crisis response and examines the role of collective beliefs in the influencing mechanism of social media. The results presented herein can be used to guide government agencies seeking to control the COVID-19 pandemic.
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Fariha Farjana, Md. Karimul Islam, Rabeya Khanam and Tasnim Murad Mamun
Conditional Cash Transfer (CCT) aims to assist expectant mothers in low-income households. It might address the insufficient prenatal and postnatal healthcare services in rural…
Abstract
Purpose
Conditional Cash Transfer (CCT) aims to assist expectant mothers in low-income households. It might address the insufficient prenatal and postnatal healthcare services in rural areas of low-income nations, including Bangladesh. However, the effectiveness of such intervention is rarely investigated in rural Bangladesh. The study aims to explore the impact of CCT on certain health outcomes of expectant mothers in southwestern rural Bangladesh.
Design/methodology/approach
The study applied the quasi-experimental Propensity Score Matching method to assess the effectiveness of CCT in health outcomes of expectant mothers. The authors also deployed logistic regression to explore the predictors of three health issues – blood pressure, hemoglobin adequacy and morning sickness.
Findings
The Average Treatment Effect shows that the CCT program significantly improves maternal health by lowering the extent of blood pressure and morning sickness and enhancing the hemoglobin adequacy of the CCT recipient women compared to the non-recipient. The result reveals that CCT beneficiary status as well as the education and immunization are positively and significantly associated with normal blood pressure and hemoglobin adequacy. CCT is also a negative predictor of morning sickness. The study recommends to expand the coverage of the CCT program and also emphasize on the improvement of education, training and immunization for rural pregnant women.
Originality/value
To assist in scaling purchasing power and nutritious food for poor pregnant and lactating mothers in low-income households, “Nobojatra” project initiated the CCTs in the southwest region of Bangladesh. Yet, the impact of such cash transfers on their health outcomes is rarely explored in the context of Bangladesh. This study provides evidence regarding the effectiveness of cash transfers to pregnant women of low-income households in rural Bangladesh.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2022-0512
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