| Literature DB >> 35469385 |
Marina Marinelli1, Mukund Janardhanan2.
Abstract
Cement is a fundamental building and construction material for societies around the world. However, its manufacturing process is exceptionally energy intensive and has a substantial contribution to the man-made global warming potential which calls for immediate reduction. In this context, the implementation of green production practices and technologies in the Indian cement sector is of particular interest and global impact given that the country is the second biggest producer worldwide. Furthermore, the literature reveals that although the implementation of green practices in the cement manufacturing sector faces barriers across a variety of aspects, there is only limited research focussing on developing countries. This research covers this gap by concentrating on the barriers encountered by the cement sector of India and proposes strategies for their alleviation based on input from five experts and the use of the multi-criteria decision making method (MCDM) best-worst method (BWM). The results show that the lack of conducive corporate environment is the most important barrier, inadequate skills and attitudes are the second, while capital-related limitations come third. The experts highlight the need for mechanisms promoting cost effective environmental research and training as well as appropriate funding instruments and procurement rules from the government. Furthermore, a clear vision and plan from the management's part are fundamental for the effective incorporation of green practices in the organisational identity and the required employee engagement.Entities:
Keywords: BWM; Cement; Construction; Green technologies; India; Sustainability
Mesh:
Year: 2022 PMID: 35469385 PMCID: PMC9477945 DOI: 10.1007/s11356-022-20217-x
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 5.190
Representative sample of similar barriers reported in the literature
| Mathiyazhagan et al. ( | Cherrafi et al. ( | Gupta and Barua ( | Malek and Desai ( | Karuppiah et al. ( |
|---|---|---|---|---|
| Lack of environmental knowledge | Lack of green thinking | Low belief in environmental benefits | Lack of awareness | Unawareness of green energy |
| Lack of CSR | Poor corporate culture | Lack of investment in R and D | Lack of CSR | Lack of R and D |
| High investment | High cost | High cost | High cost | Lack of capital |
Financial constraints No bank loans Small return | Fund constraints | No bank loans | Lack of financial support, lack of funds | Lack of subsidies |
| Lack of communication between departments | Lack of communication and cooperation | Lack of communication | Lack of communication system | Unawareness of reputation |
| Lack of training | Lack of expertise training and education | Lack of training | Lack of training | Inadequate training |
| Lack of top management involvement | Lack of top management involvement | Lack of commitment | Unclear business case and vision | Poor organisational structure causing confusion in knowledge flow |
| Lack of technical expertise | Poor quality of HR | Lack of skills/expertise | Lack of technical expertise | Failure in eco-design |
| Inappropriate or complex technology | Lack of support for technology upgrade | Incompetent technology | Weak infrastructure | Absence of a green disposal system |
| Lack of performance monitoring mechanism | Unreliable data collection system | Low ability to identify opportunities | Lack of performance measurement system | Lack of recognition |
| Fear of failure | Fear of failure | Reluctance | Fear of failure | Lack of motivation |
| Feeling of no responsibility | Lack of continuous improvement culture | Fear of innovation | Lack of employee support | Lack of employee empowerment |
| Lack of participation in conferences/seminars | Resistance to change | Lack of government training programs | No implementation roadmap | Poor work standardization |
| Lack of government support | Lack of government support | Stringent unclear regulations | Lack of government policies-regulations | Lack of guidelines |
| Restrictive policies | Lack of organisational resources | Poor legislation enforcement | Lack of preparation | Lack of accreditation |
Details of experts’ panel
| Expert #1 | Expert #2 | Expert #3 | Expert #4 | Expert #5 | |
|---|---|---|---|---|---|
| Designation | Deputy manager | Head research and development and quality assurance | Quality control Manager | Senior Manager Production department | Assistant manager |
| Department | Production department | Quality department | Quality department | Production department | Environment department |
| Years of experience in the sector | 12 | 18 | 14 | 20 | 10 |
Final list of barriers for ranking
| Lack of governmental support | No financial incentives/subsidies |
| No training sessions offered | |
| No monitoring/direction/guidelines | |
| Environmental legislation issues | Weak enforcement |
| Complex and unclear, policy gaps | |
| Capital limitations | High initial investment |
| Uncertain returns, slow payback | |
| No loans available | |
| Inadequate skills and attitudes | Lack of technical expertise/knowledge |
| Low environmental awareness | |
| Fear of failure, resistance to change | |
| Inadequate facilities and systems | No appropriate infrastructure/facilities |
| Unreliable data collection systems/measurements | |
| Lack of conducive corporate environment | Low commitment of the top management to sustainability related initiatives |
| No/low priority for CSR policies | |
| Unclear vision or improvement targets/unclear internal communication of plans | |
| No sustainability related R&D initiatives | |
| No sustainability related training initiatives |
Main group weights allocated by the Experts as per the BWM
| Group of Barriers | Expert 1 | Expert 2 | Expert 3 | Expert 4 | Expert 5 | Group Average |
|---|---|---|---|---|---|---|
| Lack of governmental support | 0.092 | 0.096 | 0.08 | 0.041 (W) | 0.09 | 0.08 |
| Environmental legislation issues | 0.0402 (W) | 0.0798 | 0.093 | 0.078 | 0.048 (W) | 0.068 |
| Capital limitations | 0.153 | 0.16 | 0.16 | 0.116 | 0.37 (B) | 0.191 |
| Inadequate skills and attitudes | 0.230 | 0.388 (B) | 0.235 | 0.233 | 0.152 | 0.247 |
| Inadequate facilities and systems | 0.115 | 0.037 (W) | 0.045 (W) | 0.155 | 0.114 | 0.093 |
| Lack of conducive corporate environment | 0.371 (B) | 0.240 | 0.392 (B) | 0.377 (B) | 0.227 | 0.321 |
| 0.0886 | 0.0904 | 0.0783 | 0.0890 | 0.0852 |
Final ranking of the barriers as per the BWM
| Barriers | Expert 1 | Expert 2 | Expert 3 | Expert 4 | Expert 5 | Within group average | Global average | Global ranking |
|---|---|---|---|---|---|---|---|---|
| No financial incentives/subsidies | 0.2024 | 0.2462 | 0.6444 (B) | 0.5417 (B) | 0.5938 (B) | 0.446 | 0.0355 | |
| No training sessions offered | 0.0714 (W) | 0.0769 (W) | 0.1111 (W) | 0.1667 (W) | 0.125 (W) | 0.110 | 0.0088 | |
| No monitoring/direction/guidelines | 0.7262 (B) | 0.6769 (B) | 0.2444 | 0.2917 | 0.2813 | 0.444 | 0.0353 | |
| High initial investment | 0.2444 | 0.6444 (B) | 0.5625 (B) | 0.6545 (B) | 0.2917 | 0.480 | 0.0916 | |
| Uncertain returns, slow payback | 0.6444 (B) | 0.2444 | 0.3125 | 0.0909 (W) | 0.5417 (B) | 0.367 | 0.0701 | |
| No loans available | 0.1111 (W) | 0.1111 (W) | 0.125 (W) | 0.2545 | 0.1667 (W) | 0.154 | 0.0294 | |
| Lack of technical expertise/knowledge | 0.300 | 0.7027 (B) | 0.5909 (B) | 0.1034 (W) | 0.125 (W) | 0.364 | 0.0902 | |
| Low environmental awareness | 0.600 (B) | 0.1892 | 0.3182 | 0.6207 (B) | 0.5625 (B) | 0.458 | 0.1134 | |
| Fear of failure, resistance to change | 0.1000 (W) | 0.1081 (W) | 0.0909 (W) | 0.2759 | 0.3125 | 0.177 | 0.044 | |
| Low commitment of the top management to sustainability-related initiatives, no/low priority for CSR policies | 0.2199 | 0.1187 | 0.5147 (Β) | 0.3097 | 0.1724 | 0.2671 | 0.0858 | |
| Unclear vision or improvement targets/unclear internal communication of plans | 0.0579 (W) | 0.0639 (W) | 0.0735 (W) | 0.0531 (W) | 0.1034 (W) | 0.0704 | 0.0226 | |
| No sustainability-related research and development initiatives | 0.5903 (B) | 0.2968 | 0.2941 | 0.5487 (B) | 0.4655 | 0.4391 | 0.1410 | |
| No sustainability related training initiatives/opportunities | 0.1319 | 0.5205 (B) | 0.1176 | 0.0885 | 0.2586 | 0.2235 | 0.0717 | |
| Weak enforcement | 0.20 | 0.15 | 0.10 | 0.20 | 0.30 | 0.19 | 0.0129 | |
| Complex and unclear, policy gaps | 0.80 | 0.85 | 0.90 | 0.80 | 0.70 | 0.81 | 0.0549 | |
| No appropriate infrastructure/facilities | 0.30 | 0.35 | 0.40 | 0.40 | 0.40 | 0.37 | 0.0345 | |
| Unreliable data collection systems/measurements | 0.70 | 0.65 | 0.60 | 0.60 | 0.60 | 0.63 | 0.0587 |