Managing plastic waste disposal by assessing consumers’ recycling behavior: the case of a densely populated developing country

Khan, Farhana; Ahmed, Waqar; Najmi, Arsalan; Younus, Muhammad

doi:10.1007/s11356-019-06411-4

Cited by 67 publications

(54 citation statements)

References 71 publications

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“…Our study shows that attitudes are a significant determinant of behavioral intentions. This finding is consistent with previous studies ( Botetzagias et al., 2015 ; Cordano and Frieze, 2000 ; Khan et al., 2019b ; Papagiannakis and Lioukas, 2012 ; Singh et al., 2018 ; Thoradeniya et al., 2015 ). It is worth noting that in our study attitudes yielded the strongest relationship with behavioral intentions as compared to subjective norms and perceived behavioral control.…”

Section: Discussionsupporting

confidence: 94%

“…It is worth mentioning that respondents in our study are decision makers who have greater control over organizations’ operations than other managers or employees. Therefore, the difference in a sample may explain why some studies, like our study, find a positive and strong relationship between perceived behavioral control and behavioral intentions ( Ajzen, 1991 ; Botetzagias et al., 2015 ; Khan et al., 2019b ; Thoradeniya et al., 2015 ), whereas other studies did not find such a relation. In our study, 67% of respondents showed a positive aggregative perceived behavioral control.…”

Section: Discussioncontrasting

confidence: 67%

“…So practically, as barriers (BAR) has 8 indicators, a sample of 80 respondents should already be sufficient to test our model. Interestingly, the sample size of our study, 637 observations, is relatively high in comparison with the sample size of most other studies who used PLS-SEM, both in management ( Hair et al., 2012a ) as well as in most other studies on similar topics ( Khan et al., 2019b , 2019a ; Nigbur et al., 2010 ; Papagiannakis and Lioukas, 2012 ; Sidique et al., 2010 ; Tonglet et al., 2004 ). Chin (2010) recommends a two-step approach to examine and interpret PLS-SEM.…”

Section: Methodsmentioning

confidence: 74%

“…Accordingly, we operationalized each construct on its own-level. To measure each construct, we mainly adapted indicators from previous studies ( Abdulrahman et al., 2014 ; European Commission, 2016 ; Khan et al., 2019b ; Nigbur et al., 2010 ; Phan and Baird, 2015 ; Sánchez-Medina et al., 2014 ; Sidique et al., 2010 ; Simpson, 2012 ; Taylor and Todd, 1995 ; Thoradeniya et al., 2015 ; Tonglet et al., 2004 ).

Fig.…”

Section: Methodsmentioning

confidence: 99%

See 3 more Smart Citations

Assessing the determinants of intentions and behaviors of organizations towards a circular economy for plastics

Khan

Daddi

Slabbinck

et al. 2020

Resources, Conservation and Recycling

108

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Highlights This study empirically assesses the determinants of organizations’ intentions and organizations’ behaviors towards a circular economy for plastics. Attitudes and perceived behavioral control of corporate decision makers are the strongest predictors of organizations’ intentions and organizations’ behaviors respectively. Most organizations are willing to contribute to a circular economy for plastics, but they are failing to do so due to some critical barriers. This study suggests some measures to overcome this intention-behavior gap. Government or relevant institutions should provide incentives, disseminate knowledge, and establish networking platforms.

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Section: Discussionsupporting

confidence: 94%

Section: Discussioncontrasting

confidence: 67%

Section: Methodsmentioning

confidence: 74%

Fig.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Assessing the determinants of intentions and behaviors of organizations towards a circular economy for plastics

Khan

Daddi

Slabbinck

et al. 2020

Resources, Conservation and Recycling

108

View full text Add to dashboard Cite

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“…Mahmud [39] analyzed the impacts of three influencing factors, namely, specific attitudes, subjective norms, and perceived behavior control, on the recycling behavior of middle school students in Malaysia. Khan et al [40] selected 243 residents of a Pakistani metropolis as the research objects, and analyzed the influencing factors that affected their plastic waste recycling behavior. At the community and regional levels, Starr et al [41] analyzed the influencing factors of municipal recycling in Massachusetts, USA.…”

Section: The Influencing Factors Of a Circular Economymentioning

confidence: 99%

An Integrated Measurement of the Efficiency of China’s Industrial Circular Economy and Associated Influencing Factors

Zhang

et al. 2020

Mathematics

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Since the 1990s, the notion of a circular economy has been developing globally; countries all over the world have been considering the development of a circular economy as an important means of achieving sustainable development. As the development of an industrial circular economy can help promote the efficient recycling of resources, it is an important starting point for industrial transformation and upgrading, and represents a key factor that will lead to the development of a circular economy in China. China’s varying provinces (municipalities and autonomous regions) have successively implemented circular economy practices in the industrial field. The research object of the present study is 30 provinces, autonomous regions, and municipalities directly under the control of central government (Hong Kong, Macao, Taiwan, and Tibet were not included owing to lack of data). Through the integration of geographic information systems (GIS) technology and the spatial analysis model, data envelopment analysis (DEA) model, and Tobit regression model, a measure model and index system are constructed, in order to carry out a multi-angle comprehensive study integrating the efficiency evaluation, spatial analysis, and influencing factors analysis of China’s industrial circular economy. It is an important innovation, and an important contribution to the existing research system. The conclusions are as follows: (1) In general, the overall level of China’s industrial circular economy’s efficiency was not high, and there was still a lot of room for improvement. The integrated efficiency of the industrial circular economy in the eastern region was relatively high, followed by that in the western region, and the lowest level in the middle region. (2) The efficiency of China’s industrial circular economy displayed obvious spatial aggregation characteristics at the provincial level, including clear spatial dependence and spatial heterogeneity. High-value aggregation areas were mainly distributed in the eastern coastal areas, and low-value aggregation areas were concentrated and contiguously distributed in the middle and western inland areas. (3) The four elements of economic level, openness to the outside, government regulation, and industrialization aggregation each impose a significant positive impact on the efficiency of China’s industrial circular economy, which can promote its efficiency. The level of industrialization exerts a significant negative impact on the efficiency of the industrial circular economy, which hampers its improvement. The impact of technological innovation on the efficiency of the industrial circular economy is not statistically significant.

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Importance of green innovation for business sustainability: Identifying the key role of green intellectual capital and green SCM

Suki

Sharif

et al. 2022

Bus Strat Env

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Organizations, while transforming resources into products and services and then into financial gains, consecutively neglect the adverse effects that are being caused to the environment and society. Hence, organizations should not focus on the financial aspects only; rather, they need to strive for business sustainability (BS). For an organization to become more sustainable, they need to tap and excel into green innovation (GIN), followed by green intellectual capital (GIC), whereas the role of green supply chain management practices (GSCMP) in this objective cannot be ignored. To fill this gap, we have established a framework based on the natural resource-based view theory and extant literature that offers a foundation for sculpturing the process by which GIN was observed to capture BS through GIC and GSCMP. Primary data were collected from the Malaysian manufacturing industries, and partial least square structural equation modeling (PLS-SEM) was applied to the sample of 243 respondents. The key findings reported that GIN has a positive and significant relationship with GIC, GSCMP, and BS. Further, GIC and GSCMP also positively and significantly affect BS. These findings have some certain recommendations for policymakers that the present study proposed. Mainly organizations need to develop their green and sustainable resources, which will help them develop according to the principles of BS and gain a competitive advantage in the long run. In the end, there are certain limitations of the present study on which the possibilities of future research are drawn.

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Managing plastic waste disposal by assessing consumers’ recycling behavior: the case of a densely populated developing country

Cited by 67 publications

References 71 publications

Assessing the determinants of intentions and behaviors of organizations towards a circular economy for plastics

Assessing the determinants of intentions and behaviors of organizations towards a circular economy for plastics

An Integrated Measurement of the Efficiency of China’s Industrial Circular Economy and Associated Influencing Factors

Importance of green innovation for business sustainability: Identifying the key role of green intellectual capital and green SCM

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