Shared network and supply chain features for synergetic control of carbon and air pollutant emissions

Song, Junnian; Qi, Zhimin; Gai, Yuxin; Chen, Shaoqing

doi:10.1016/j.scitotenv.2022.154391

Cited by 21 publications

(6 citation statements)

References 56 publications

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“…With supply chain financing, fund providers can collect more information about SMEs through cooperation with the relevant focal enterprises and thus make rational judgments on SMEs' financing capabilities. Therefore, sending and receiving signals has become a key method for financial institutions to effectively reduce information asymmetry between themselves and SMEs (Hofmann and Kotzab, 2010;Spence, 2002;Connelly et al, 2011;Song et al, 2018Song et al, , 2022 and to provide supply chain financing accordingly. While previous studies have discussed how ambidextrous innovation affects firm performance, the innovation's relationship to financing performance as capability signals has not yet been explored.…”

Section: Supply Chain Financingmentioning

confidence: 99%

The effect of SMEs' ambidextrous innovations on supply chain financing performance: balancing effect and moderating effect

Zhou

Luan

et al. 2023

IJOPM

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PurposeThis study empirically investigates how ambidextrous innovations and their balancing affect the supply chain financing performance (SCFP) of small and medium-sized enterprises (SMEs), based on signaling theory. Moreover, this study explores the moderating effect of the breadth and depth of digital technology deployment on the relationship between ambidextrous innovations and the SCFP of SMEs.Design/methodology/approachA mixed-methods design is used, including a qualitative study and a quantitative study. Qualitative data have been collected from six multi-cases in different industries. Questionnaire data have been collected from 259 SMEs in China, and a multiple regression model is used to verify the research hypotheses.FindingsThe findings indicate that, in supply chain financing, both exploitative innovation and exploratory innovation are helpful in improving the SCFP of SMEs. For resource-constrained SMEs, a relative balance between exploitative innovation and exploratory innovation can help improve SCFP. The breadth of digital technology deployment can strengthen the relationship between exploitative innovation and SCFP, while the depth of digital technology deployment can weaken the relationship between exploratory innovation and SCFP. In addition, increasing the depth of digital technology deployment strengthens the positive correlation between the relative balance of ambidextrous innovations and SCFP.Practical implicationsTo effectively obtain supply chain financing, SMEs can either concentrate their limited resources on a single type of innovation or use relative balance strategies to simultaneously pursue two innovations. In addition, in the process of obtaining supply chain financing by ambidextrous innovations, SMEs should appropriately deploy digital technologies.Originality/valueThis study first deconstructs the impact mechanism of ambidextrous innovation capabilities on SCFP based on signaling theory, and then discusses the balancing effect of ambidextrous innovations on SCFP in the cases of resource-constrained SMEs. This study also goes further and finds the negative moderating effect of digital technology deployment in the process of supply chain financing.

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Section: Supply Chain Financingmentioning

confidence: 99%

The effect of SMEs' ambidextrous innovations on supply chain financing performance: balancing effect and moderating effect

Zhou

Luan

et al. 2023

IJOPM

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“…Investigation on noise pollution and solid and water waste during the SC [20]. Discussion about CO2 emissions released by logistics transportation [129]. Researched for controlling CO2 emissions during manufacturing and recycling final product [80].…”

Section: The Environmental Pillarmentioning

confidence: 99%

Performance Measurement of the Sustainable Supply Chain During the COVID-19 Pandemic: A real-life case study

Abbasi

Khalili

Daneshmand-Mehr

et al. 2022

Foundations of Computing and Decision Sciences

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This paper aims to introduce a framework to measure the sustainable performance of the supply chain (SC) during the COVID-19 pandemic. The SC stakeholders in this investigation are Suppliers, Production / Remanufacturing / Refurbishing Centers (Factories), Collection / Distribution Centers, Recycling / Landfill Centers, and Customers. The suggested sustainable supply chain (SSC) performance measurement included three pillars with 23 indicators. To evaluate the overall sustainability of the SC understudy, a composite index has been developed that combines all the indicators to reflect the sustainability performance of the SC. Four steps are involved in creating a composite index:1) measuring the value of indicators, 2) weighing indicators, 3) Using the normalization technique, and 4) Evaluating the overall SSC indicator. The real case in Iran is selected as an illustrative case. Our research contributions are: We suggested a novelty indicator of SSC to better show the economic, environmental, and social tradeoffs during the COVID-19 pandemic and lockdowns. We have found and measured the negative and positive impacts of COVID-19 on aspects of sustainability in SC. Based on the achieved data of the real case study, a numerical example is represented to explain how to calculate the composite index. The main contribution of this paper is the development of SSC indicators during the COVID-19 epidemic.

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“…The rapid growth of cities over the past 20 years has resulted in very significant carbon emissions [1][2][3][4][5]. Among various sectors, the transport sector accounts for 9% of total carbon emissions and has become a major contributor to China's environmental pollution [6][7][8][9][10][11][12][13]. Although commuting carbon emissions are not the largest share of transport carbon emissions, they have increased rapidly over the last 20 years.…”

Section: Introductionmentioning

confidence: 99%

A Big Data-Based Commuting Carbon Emissions Accounting Method—A Case of Hangzhou

Xue

Xia

et al. 2022

Land

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Commuting carbon emissions are an essential component of urban carbon emissions, and determining how to reduce them is an area of great debate among researchers. The current research lacks a tool and instrument that can extensively account for residents’ commuting. Traditional methods are mainly based on questionnaire surveys, which have low accuracy at spatial and temporal aspects. High accuracy carbon emission accounting methods can effectively assist urban planning and achieve precise urban emissions reductions. This study applies a taxi commuting carbon emissions accounting method divided into two main steps. Firstly, the carbon emissions of taxi trajectories are calculated using taxi trajectory data and a carbon emission calculation method developed based on VSP. Secondly, the taxi trajectory and POI data are used to filter the commuter trajectory with the help of a two-step moving search method. In this way, the taxi commuting carbon emissions were obtained. Then, the spatial distribution characteristics of residential taxi commuting carbon emissions are analysed by spatial autocorrelation tools, which could facilitate low carbon zoning management. A typical working day in Hangzhou was selected as the research object of this study. The results show that (1) morning peak commuting carbon emissions in the main urban area of Hangzhou reached 2065.14 kg per hour, accounting for 13.73% of all taxi travel carbon emissions; and evening peak commuting carbon emissions reached 732.2 kg per hour, accounting for 4% of all taxi travel carbon emissions; (2) At the grid level, the spatial distribution of commuting carbon emissions in Hangzhou shows a single central peak that decays in all directions; and (3) The results at the resident community scale show that urban public transport facilities influence resident community commuting carbon emissions. In areas such as at the urban-rural border, resident community commuting carbon emissions show high levels of aggregation, and in the main urban area, resident community commuting carbon emissions show low levels of aggregation. This study not only provides a new method of commuting investigation but also offers constructive suggestions for future carbon emission reduction under Hangzhou’s urban planning.

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Shared network and supply chain features for synergetic control of carbon and air pollutant emissions

Cited by 21 publications

References 56 publications

The effect of SMEs' ambidextrous innovations on supply chain financing performance: balancing effect and moderating effect

The effect of SMEs' ambidextrous innovations on supply chain financing performance: balancing effect and moderating effect

Performance Measurement of the Sustainable Supply Chain During the COVID-19 Pandemic: A real-life case study

A Big Data-Based Commuting Carbon Emissions Accounting Method—A Case of Hangzhou

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