Hongman Liu, Shibin Wen and Zhuang Wang
Agricultural carbon productivity considers the dual goals of “agricultural economic growth” and “carbon emission reduction”. Improving agricultural carbon productivity is a…
Abstract
Purpose
Agricultural carbon productivity considers the dual goals of “agricultural economic growth” and “carbon emission reduction”. Improving agricultural carbon productivity is a requirement for promoting green and low-carbon development of agriculture. Agricultural production agglomeration is widespread worldwide, but the relationship between agricultural production agglomeration and agricultural carbon productivity is inconclusive. This paper aims to study the impact of agricultural production agglomeration on agricultural carbon productivity, which is conducive to a better understanding of the relationships among agglomeration, agricultural economic development and carbon emission, better planning of agricultural layout to build a modern agricultural industrial system and achieve the goal of carbon peaking and carbon neutrality.
Design/methodology/approach
Based on China's provincial data from 1991 to 2019, this paper uses non-radial directional distance function (NDDF) and Metafrontier Malmquist–Luenberger (MML) productivity index to measure total factor agricultural carbon productivity. Subsequently, using a panel two-way fixed effect model to study the effect and mechanism of agricultural production agglomeration on agricultural carbon productivity, and the two-stage least squares method (IV-2SLS) is used to solve endogeneity. Finally, this paper formulates a moderating effect model from the perspective of the efficiency of agricultural material capital inputs.
Findings
The empirical results identify that Chinese provincial agricultural carbon productivity has an overall growth trend and agricultural technological progress is the major source of growth. There is an inverted U-shaped relationship between agricultural production agglomeration and agricultural carbon productivity. The input efficiency of agricultural film, machine and water resources have moderating effects on the inverted U-shaped relationship. Agricultural production agglomeration also promotes agricultural carbon productivity by inhibiting agricultural carbon emissions in addition to affecting agricultural input factors and its internal mechanisms are agricultural green technology progress and rural human capital improvement.
Originality/value
This paper innovatively adopts the NDDF–MML method to measure the total factor agricultural carbon productivity more scientifically and accurately and solves the problems of ignoring group heterogeneity and the shortcomings of traditional productivity measurement in previous studies. This paper also explains the inverted U-shaped relationship between agricultural production agglomeration and agricultural carbon productivity theoretically and empirically. Furthermore, from the perspective of agricultural material capital input efficiency, this paper discusses the moderating effect of input efficiency of fertilizers, pesticides, agricultural film, agricultural machines and water resources on agricultural production agglomeration affecting agricultural carbon productivity and answers the mechanism of carbon emission reduction of agricultural production agglomeration.
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Yonggang Zhao, Xiaodong Yang, Changhai Zhai and Weiping Wen
The purpose of this paper is to investigate relationships of urban seismic resilience assessment indicators.
Abstract
Purpose
The purpose of this paper is to investigate relationships of urban seismic resilience assessment indicators.
Design/methodology/approach
To achieve this aim, construction of the urban seismic resilience assessment indicators system was conducted and 20 indicators covering five dimensions, namely building and lifeline infrastructure, environment, society, economy and institution were identified. Following this, this study used evidence fusion theory and intuitionistic fuzzy sets to process the information from experts then developed the fuzzy total interpretive structure model.
Findings
A total of 20 urban seismic resilience assessment indicators are reconstructed into a hierarchical and visual system structure including five levels. Indicators in the bottom level including debris flow risk, landslide risk, earthquake experience and demographic characteristics are fundamental indicators that significantly impact other indicators. Indicators in the top level including open space, gas system and public security are direct indicators influenced more by other indicators. Other indicators are in middle levels. Results of MICMAC analysis visually categorize these indicators into independent indicators, linkage indicators, autonomous indicators and dependent indicators according to driving power and dependence.
Originality/value
This paper attempts to explore relationships of urban seismic resilience assessment indicators with the interpretive structural model method. Additionally, Fuzzy total interpretive structure model is developed combined with evidence fusion theory and intuitionistic fuzzy sets, which is the extension of total interpretive structure model. Research results can assist the analytic network process method in assessing urban seismic resilience in future research.
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Qiong Yao, Jinxin Liu, Shibin Sheng and Heng Fang
Drawing on the literature of eco-innovation and institutional theory, this research aims to answer two fundamental questions: Does eco-innovation improve or harm firm value in…
Abstract
Purpose
Drawing on the literature of eco-innovation and institutional theory, this research aims to answer two fundamental questions: Does eco-innovation improve or harm firm value in emerging markets? and How institutional environments moderate the relationship between eco-innovation and firm value? We explicate the regulatory, normative and cognitive pillars of institutions, manifested as regulation intensity, environmental agency pressure and public pressure, respectively.
Design/methodology/approach
For this study, a cross-sectional panel data set was assembled from multiple archival sources, including data coded from the corporate annual reports and social responsibility reports, statistical yearbooks, China Stock Market Financial Database (CSMAR) and other secondary sources. A hierarchical regression method was used to test the hypotheses. The data comprised 88 firms sampled over four years. The model using feasible generalized least squares (FGLSs) to control heteroscedasticity in errors due to unobserved heterogeneity was estimated.
Findings
Empirical findings from a data set compiled from multiple archival sources reveal that both eco-product and eco-process innovation negatively relate to firm value. The interactions between eco-innovation and regulation intensity, environmental agency pressure and public pressure are positively related to firm value.
Originality/value
First, this study extends the literature of eco-innovation by investigating the impact of eco-innovation on firm value. Contrary to the conventional anecdotal evidence of the beneficial effect of eco-innovation, it was found that eco-innovation relates negatively to firm value. Second, this study develops and tests an institutional contingent view of eco-innovation by accounting for the moderating role of regulatory, normative and cognitive pressures.
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Jian Liu, Mengyao Xu, Wenxiong Xi, Jiawen Song, Shibin Luo and Bengt Ake Sunden
Endwall film cooling protects vane endwall by coolant coverage, especially at the leading edge (LE) region and vane-pressure side (PS) junction region. Strong flow impingement and…
Abstract
Purpose
Endwall film cooling protects vane endwall by coolant coverage, especially at the leading edge (LE) region and vane-pressure side (PS) junction region. Strong flow impingement and complex vortexaa structures on the vane endwall cause difficulties for coolant flows to cover properly. This work aims at a full-scale arrangement of film cooling holes on the endwall which improves coolant efficiency in the LE region and vane-PS junction region.
Design/methodology/approach
The endwall film holes are grouped in four-holes constructal patterns. Three ways of arranging the groups are studied: based on the pressure field, the streamlines or the heat transfer field. The computational analysis is done with the k-ω SST model after validating the turbulence model properly.
Findings
By clustering the film cooling holes in four-holes patterns, the ejection of the coolant flow is stronger. The four-holes constructal patterns also improve the local coolant coverage in the “tough” regions, such as the junction region of the PS and the endwall. The arrangement based on streamlines distribution can effectively improve the coolant coverage and the arrangement based on the heat transfer distribution (HTD) has benefits by reducing high-temperature regions on the endwall.
Originality/value
A full-scale endwall film cooling design is presented considering interactions of different film cooling holes. A comprehensive model validation and mesh independence study are provided. The cooling holes pattern on the endwall is designed as four-holes constructal patterns combined with several arrangement choices, i.e. by pressure, by heat transfer and by streamline distributions.
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Surajit Bag, Shivam Gupta and Arnesh Telukdarie
The alignment of procurement strategy with overall business strategy is important for superior firm performance. It is also essential for firms’ purchasing structure to fit the…
Abstract
Purpose
The alignment of procurement strategy with overall business strategy is important for superior firm performance. It is also essential for firms’ purchasing structure to fit the purchasing strategy whether it is cost reduction; value analysis and/or improving delivery and increasing flexibility for achieving superior purchasing performance. The purpose of this paper is to scientifically examine the influence of organization culture (OC), green supplier development (GSD), supplier relationship management, flexibility and innovation on sustainability in supply network (SSN) under the moderation effect of institutional pressures and resources availability.
Design/methodology/approach
The study is grounded by integrating institutional theory (IT) and resource-based view (RBV) theory. The study empirically tests the conceptual model through survey data gathered from 175 respondents in the KwaZulu-Natal province of Southern Africa using structural equation modeling which is a multivariate data analysis technique that permits to simultaneously examine many relationships among manifest and latent variables.
Findings
It was found that OC plays a crucial role in shaping the workforce behavior and responsible for enhancing GSDs and building good relationship with suppliers which ultimately results into increased flexibility and innovativeness. Coercive pressures (CPs) play a moderating role between the causal relationship of innovation and SSN. Therefore, CPs have got the ability to amplify or reverse the effect between innovation and SSNs.
Research limitations/implications
The study suffers from few limitations. First, the study is restricted to one particular province in South Africa. Second, cross-sectional data were used for testing of model in the research study.
Practical implications
The findings are of great importance for both the researchers and supply chain practitioners. Supply chain practitioners may use this knowledge for benchmarking the supply network configuration process and continuously improve the process. The tested model actually shows the mechanism for enhancing SSNs. In today’s dynamic and uncertain business environment, all firms in the supply network aims to minimize risks and maximize profitability. The findings show that CPs play a moderating effect on the relationship between innovation and SSN. Whenever government authorities and institutions pressurize firms for minimizing pollution levels, we see a trend of increased innovations in the form of new product developments, usage of eco-friendly raw material and application of eco-friendly technology which ultimately minimizes the carbon footprint. Through such initiatives steel and engineering firms conform to the government norms and regulations. However, innovations are possible through collaboration with specialist suppliers and sub-suppliers by adopting a common standard across the supply network. Through this overall process of innovation, the focal firm and sub-suppliers linked in the network will benefit and ultimately achieve a competitive edge. Therefore, firms can experience multiple benefits in terms of lower development costs, lower project cycle completion time, improvement in design for re-manufacturability, low downtime, low supply risks, reduction of greenhouse gas emissions and, ultimately, sustainable development.
Originality/value
The study is unique from dual perspective – both in terms of scope and contribution to supply chain management literature. First, the study integrates flexibility and innovation to study the impact on SSNs. Second, it integrates both IT and RBV theory of firm to test the moderation effect and the findings further opens up window for future research.
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Chao Wang, Yongkang Sun, Ming K. Lim, Pezhman Ghadimi and Amir Hossein Azadnia
With rapid industrialization and urbanization, municipal solid waste (MSW) management has become a serious challenge worldwide, especially in developing countries. The Beijing…
Abstract
Purpose
With rapid industrialization and urbanization, municipal solid waste (MSW) management has become a serious challenge worldwide, especially in developing countries. The Beijing Municipality is a representative example of many local governments in China that are facing MSW management issues. Although there have been studies in the area of MSW management in the literature, less attention has been devoted to developing a structured framework that identifies and interprets the barriers to MSW management in megacities, especially in Beijing. Therefore, this study focuses on identifying a comprehensive list of barriers affecting the successful implementation of MSW management in Beijing.
Design/methodology/approach
Through an extensive review of related literature, 12 barriers are identified and classified into five categories: government, waste, knowledge dissemination, MSW management process and market. Using an integrated approach including the decision-making trial and evaluation laboratory (DEMATEL), maximum mean de-entropy algorithm (MMDE) and interpretive structural modeling (ISM), a conceptual structural model of MSW implementation barriers is constructed to provide insights for industrial decision-makers and policymakers.
Findings
The results show that a lack of economic support from the government, imperfect MSW-related laws and regulations, the low education of residents and the lack of publicity of waste recycling knowledge are the main barriers to MSW management in Beijing. Combined with expert opinions, the paper provides suggestions and guidance to municipal authorities and industry practitioners to guide the successful implementation of MSW management.
Practical implications
The findings of this study can provide a reference for MSW management in other metropolises in China and other developing countries.
Originality/value
This study proposes a hybrid DEMATEL-MMDE-ISM approach to resolve the subjectivity issues of the traditional ISM approach and it analyzes the barriers that hinder MSW management practices in Beijing.
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Sourabh Jain, Nikunj Kumar Jain and Bhimaraya Metri
Sustainability issues on economic, environmental and social perspectives have drawn attention of environmentalists, ecologists and governments. In this context, circular economy…
Abstract
Purpose
Sustainability issues on economic, environmental and social perspectives have drawn attention of environmentalists, ecologists and governments. In this context, circular economy provides an opportunity to transform waste into resources, reduction of production and consumption activities; and reduction of carbon footprints, all at the same time. The purpose of this paper is to develop a strategic framework for measuring circular supply chain management.
Design/methodology/approach
A grounded theory approach has been used to develop the strategic framework for circular supply chain management.
Findings
This study provides an integrative framework for studying, designing and evaluating circular supply chain management performance matrix.
Research limitations/implications
A conceptual strategic framework has been proposed to measure the performance of circular supply chain management. Further empirical studies may be carried out to validate the framework.
Practical implications
The conceptual strategic framework provides key indicators for reducing material consumption, reducing waste, reducing carbon footprint and recycling opportunities throughout the supply chain. These may be utilized by practitioners for gaining competitive advantage.
Originality/value
This paper provides insights into development of circular supply chains that provides opportunities for cost reduction and securing competitive advantage for a business in the long run.
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Sachin Yadav and Surya Prakash Singh
The main objective of this paper is to justify the implementation of blockchain (BC) over the traditional method deployed in the supply chain (SC) after using the fuzzy–analytic…
Abstract
Purpose
The main objective of this paper is to justify the implementation of blockchain (BC) over the traditional method deployed in the supply chain (SC) after using the fuzzy–analytic network process (fuzzy-ANP) application. Over the past two decades, the overall product cost is affected by the SC at a global level. Organizations are working on their existing SC for improving their performance. BC technology is a newly emerging technology and magnetizes the attention of researchers and industrialists. This technology is still at the initial stage, and only little investigation is available in the literature and it has not been much investigated by researchers.
Design/methodology/approach
Literature and expert opinion interpretation in BC characteristics are further analyzed and modeled using fuzzy–interpretive structural modeling (fuzzy-ISM), fuzzy-MICMAC and fuzzy-ANP. The combined approach of both fuzzy-ISM and fuzzy-MICMAC is applied to identify the common drivers to integrate the BC technology in the light of efficient supply chain management (SCM).
Findings
Comparative analysis between traditional and BC-based supply chain (BCSC) using fuzzy-ANP is carried out, considering the common driving characteristics. The proposed integrated (combined) approach of fuzzy-ISM, fuzzy-MICMAC and Fuzzy-ANP found that integration of BC with SCM is better prioritized than traditional supply chain management (TSCM). The findings in the article endorse that the TSCM can be made efficient by integrating the BC technology considering five most driving characteristics, namely, data safety and decentralization, accessibility, documentation, data management and quality.
Originality/value
The current proposed research work identifies 12 characteristics after studying numerous literature reviews and having a discussion with SC experts with knowledge of BC. The integrated approach of fuzzy-ISM and fuzzy-MICMAC is implemented here. After that, fuzzy-ANP is used to give ranking among BCSCM and TSCM. The study carried out in this article motivates industries to implement BC in their SC system. It will reduce the transaction cost, documentation work, save time and eliminate human error at the national and international levels. The common characteristics identified in this proposed work would help in managerial decisions for the adoption of BC to ensure that the system becomes more transparent, easily traceable and finally improve the performance.
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Saikat Das and H.M. Kamrul Hassan
This paper aims to assess the effect of sustainable supply chain management (SSCM) , competitive advantage (CA) and customer relationship management (CRM) on organizational…
Abstract
Purpose
This paper aims to assess the effect of sustainable supply chain management (SSCM) , competitive advantage (CA) and customer relationship management (CRM) on organizational performance (OP).
Design/methodology/approach
A self-administered questionnaire was employed in the present study as a research tool, consisting of 20 items. Information was gathered from 93 executives employed in the supply chain management (SCM) division of the multiple organizations in Chattogram, the commercial hub of Bangladesh and the findings of the research were evaluated using SMART PLS 3.0.
Findings
The findings supported the hypotheses that were formulated. The analysis shows that SSCM and CRM are significantly related to OP. The results show, however, a positive but insignificant relationship between CA and OP. In developing countries, SSCM and CA are more likely to be employed by businesses in order to accomplish OP. However, the relation between CRM and OP has been given comparatively less importance. It has been suggested that CRM, together with SSCM, should be considered in order to achieve OP.
Originality/value
Earlier study neglected to use the CRM in the measurement of OP along with CA and SSCM. This research seeks to emphasize the influence of CRM in the organization, together with SSCM. This lets companies understand the effect of SSCM and CRM in general since those companies must respond to consumer demands to product and industry developments and transfer appropriate resources to enhance manufacturing processes that combine technological and managerial efficiency.
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Chin-Tsu Chen, Shih-Chih Chen, Asif Khan, Ming K. Lim and Ming-Lang Tseng
This study aims to measure the integrated impact of big data analytics and artificial intelligence (BDA-AI) adoption by using the ChatGPT generative AI online platform as a BDA-AI…
Abstract
Purpose
This study aims to measure the integrated impact of big data analytics and artificial intelligence (BDA-AI) adoption by using the ChatGPT generative AI online platform as a BDA-AI tool on the operational and environmental performance.
Design/methodology/approach
This study considers Taiwanese professionals who engage with ChatGPT; the sample consists of 388 online users.
Findings
This study’s main finding is that the considered antecedents – including technological, organizational and environmental contexts, tangible resources and workforce skills – are significantly associated with BDA-AI adoption. Notably, BDA-AI adoption exhibits a significant relationship with operational performance, environmental performance and environmental process integration. Moreover, environmental process integration is significantly correlated with environmental performance. Lastly, operational performance is significantly correlated with environmental performance.
Originality/value
This study contributes to the heavily lacking but developing literature on the antecedents and consequences of BDA-AI adoption. Its theoretical foundation consists of the technological-organizational-environmental model, Roger’s diffusion of innovation theory and resource-based view theory.