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Validating the effects of the environmental regulation compliance scale: evidence from the Nigerian oil and gas industry

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Abstract

Growing environmental deterioration has caused many countries to tighten their environmental regulations across the globe. Recent studies show that most developed countries enforced stricter environmental regulations creating a pollution haven to developing countries such as Nigeria. Studies show the non-availability of an environmental regulation compliance scale in the energy sectors. The aim of this paper is to validate the effects of environmental regulation compliance scale for oil and gas companies’ operations in the Nigerian oil and gas industry. Hence, an adapted questionnaire comprising 11 items was administered to 300 local and multinational oil and gas companies in Nigeria. All the items were subjected to evaluations and validations by eight expert reviewers with cognate experience in oil and gas activities. Evaluation of the reliability and validity of the measures of the environmental regulation scale was performed through confirmatory factor analysis (CFA) using SPSS version 25 and PLS-SEM version 3.8. The results provide evidence that the environmental regulation compliance scale has met the reliability and validity criteria. Consequently, policymakers, practitioners, and researchers can adapt this scale to assess the effects of environmental regulation compliance by companies in different jurisdictions across the globe. This study undoubtedly builds the existing literature and contributes to the subject area; by implication, the validated scale will assist host oil and gas countries with stringent environmental regulations to come up with policies in such a way as to ensure not chasing away the current investors or discouraging prospective ones from investing in their countries.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Altman, D., Burton, N., Cuthill, I., Festing, M., Hutton, J., & Playle, L. (2006). Why do a pilot study. Nat Centre for Replacement, Refinement and Reduction of Animal in Research, 1–2

  • Ambec S, Cohen MA, Elgie S, Lanoie P (2013) The porter hypothesis at 20: can environmental regulation enhance innovation and competitiveness? Rev Environ Econ Policy 7(1):2–22

    Google Scholar 

  • Anderson JC, Gerbing DW (1988) Structural equation modeling in practice: a review and recommended two-step approach. Psychol Bull 103(3):411–423

    Google Scholar 

  • Atkinson LC (2014) Public policy processes and the environment: implications for a sustainable future. Sustain Account Manag Policy J 5(4):457–475

    Google Scholar 

  • Avi-Yonah RS, Uhlmann DM (2009) Combating global climate change: why a carbon tax is a better response to global warming than cap and trade. Stanford Environ Law J 28(3):3–50

    Google Scholar 

  • Berk RA (1983) An introduction to sample selection bias in sociological data. Am Sociol Rev 48:386–398

    Google Scholar 

  • Berman E, Bui LT (2001) Environmental regulation and labor demand: evidence from the south coast air basin. J Public Econ 79(2):265–295

    Google Scholar 

  • Blohmke J, Kemp R, Türkeli S (2016) Disentangling the causal structure behind environmental regulation. Technol Forecast Soc Change 103:174–190. https://doi.org/10.1016/j.techfore.2015.10.013

    Article  Google Scholar 

  • Brännlund R (2009) Environmental policy without costs? A review of the porter hypothesis. Int Rev Environ Resour Econ 3(2):75–117

    Google Scholar 

  • Camilleri MA (2015) Environmental, social and governance disclosures in Europe. Sustain Account Manag Policy J 6(2):224–242

    Google Scholar 

  • Camisón C (2010) Effects of coercive regulation versus voluntary and cooperative auto- regulation on environmental adaptation and performance: empirical evidence in Spain. Eur Manag J 28:346–361. https://doi.org/10.1016/j.emj.2010.03.001

    Article  Google Scholar 

  • Campbell Gemmell J, Marian Scott E (2013) Environmental regulation, sustainability and risk. Sustain Account Manage Policy J 4(2):120–144

    Google Scholar 

  • Chin WW, (1998). Commentary: issues and opinion on structural equation modeling. MIS Q

  • Chin WW (2010) How to write up and report PLS analyses. In: Esposito Vinzi V, Chin WW, Henseler J, Wang H (eds) Handbook of partial least squares: concepts, methods and application. Springer, Germany, pp 645–689

    Google Scholar 

  • Cohen MA, Tubb A (2018) The impact of environmental regulation on firm and country competitiveness: a meta-analysis of the porter hypothesis. J Assoc Environ Resour Econ 5(2):371–399

    Google Scholar 

  • Creswell JW (2012) “Collecting qualitative data”, educational research: planning, conducting, and evaluating quantitative and qualitative research. Pearson, Upper Saddle River, pp 204–235

    Google Scholar 

  • Eiadat Y, Kelly A, Roche F, Eyadat H (2008) Green and competitive? An empirical test of the mediating role of environmental innovation strategy. J World Bus 43:131–145. https://doi.org/10.1016/j.jwb.2007.11.012

    Article  Google Scholar 

  • Engström MS, Leksell J, Johansson UB, Eeg-Olofsson K, Borg S, Palaszewski B, Gudbjörnsdottir S (2018) A disease-specific questionnaire for measuring patient-reported outcomes and experiences in the Swedish national diabetes register: development and evaluation of content validity, face validity, and test-retest reliability. Patient Educ Couns 101(1):139–146

    Google Scholar 

  • Feichtinger G, Hartl RF, Kort PM, Veliov VM (2005) Environmental policy, the Porter hypothesis and the composition of capital: effects of learning and technological progress. J Environ Econ Manag 50(2):434–446

    Google Scholar 

  • Felder S, Schleiniger R (2002) Environmental tax reform: efficiency and political feasibility. Ecol Econ 42(1–2):107–116

    Google Scholar 

  • Féres J, Reynaud A (2012) Assessing the impact of formal and informal regulations on environmental and economic performance of Brazilian manufacturing firms. Environ Resour Econ 52:65–85. https://doi.org/10.1007/s10640-011-9520-8

    Article  Google Scholar 

  • Fineman S, Clarke K (1996) Green stakeholders: industry interpretations and response. J Manag Stud 33(6):716–730

    Google Scholar 

  • Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18:39–50

    Google Scholar 

  • Gable RK, Wolf MB (1993) Instrument development in the affective domain: measuring attitudes and values in corporate and school setting. Kluwer Academic Publisher, New York

    Google Scholar 

  • Guo Y, Xia X, Zhang S, Zhang D (2018) Environmental regulation, government R&D funding and green technology innovation: evidence from China provincial data. Sustainability 10(4):940

    Google Scholar 

  • Hair JF Jr, Hult GTM, Ringle, C., Sarstedt, M., (2013). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications, United States

  • Hair JF, Black W, Babin BJ, Anderson R (2010) Multivariate data analysis. Pearson Prentice Hall, New Jersey

    Google Scholar 

  • Hair JF, Ringle CM, Sarstedt M (2011) PLS-SEM: indeed, a silver bullet. J Mark Theory Pract 19(2):139–152. https://doi.org/10.2753/MTP1069-6679190202

  • Hair JF, Sarstedt M, Ringle CM, Mena JA (2012) An assessment of the use of partial least squares structural equation modelling in marketing research. J Acad Mark Sci 40(3):414–433. https://doi.org/10.1007/s11747-011-0261-6

  • Hao Y, Deng Y, Lu ZN, Chen H (2018) Is environmental regulation effective in China? Evidence from city-level panel data. J Clean Prod 188:966–976

    Google Scholar 

  • Harvey B, Schaefer A (2001) Managing relationships with environmental stakeholders: a study of UK water and electricity utilities. J Bus Ethics 30(3):243–260

    Google Scholar 

  • Hassan A, Kouhy R (2015) From environmentalism to corporate environmental accountability in the Nigerian petroleum industry: do green stakeholders matter? Int J Energy Sector Manag 9(2):204–226

    Google Scholar 

  • Heckman JJ (1979) Sample selection bias as a specification error. Journal of the econometric society, Econometrica, pp 153–161

    Google Scholar 

  • Hinkin TR, Tracey JB, Enz CA (1997) Scale construction: developing reliable and valid measurement instruments. J Hosp Tour Res 21(1):100–120

    Google Scholar 

  • Hou J, Teo TS, Zhou F, Lim MK, Chen H (2018) Does industrial green transformation successfully facilitate a decrease in carbon intensity in China? An environmental regulation perspective. J Clean Prod 184:1060–1071

    Google Scholar 

  • Hulley SB, Cummings TB, Browner WS, Cummings SR, Hulley DG, Hearst N (2001) Designing clinical research: an epidemiological approach. Lippincott, Williams, & Wilkins, Philadelphia

    Google Scholar 

  • Jin M, Shi X, Emrouznejad A, Yang F (2018) Determining the optimal carbon tax rate based on data envelopment analysis. J Clean Prod 172:900–908

    Google Scholar 

  • Johari J, Yahya KK, Mit DAC, Omar A (2011) The dimensions of job characteristics: a validation study in a Malaysian context. Int Bus Manag 5:91–103

    Google Scholar 

  • Kaiser HF (1970) A second-generation little jiffy. Psychometrika 35:401–415

    Google Scholar 

  • Kaiser HF (1974) An index of factorial simplicity. Psychometrika 39:31–36

    Google Scholar 

  • Korpela, K. M., Pasanen, T., Repo, V., Hartig, T., Staats, H., Mason, M., ... & Scopelliti, M. (2018). Environmental strategies of affect regulation and their associations with subjective well-being. Front Psychol, 9, 562

  • Lankoski, L. (2017). Linkages between environmental policy and competitiveness. Available online: http://www.olis.oecd.org/olis/2008doc.nsf/LinkTo/NT0000B20E/$FILE/JT03268619.PDF

  • Leeuwen GV, Mohnen P (2013) Revisiting the Porter hypothesis: an empirical analysis of green innovation for the Netherlands. Econ Innov New Technol 67:295–319

    Google Scholar 

  • Li R, Ramanathan R (2018) Exploring the relationships between different types of environmental regulations and environmental performance: evidence from China. J Clean Prod 196:1329–1340

    Google Scholar 

  • Lin B, Li X (2011) The effect of carbon tax on per capita CO2 emissions. Energy Policy 39(9):5137–5514

    Google Scholar 

  • Lindner JR, Murphy TH, Briers GE (2001) Handling nonresponse in social science research. J Agric Educ 42(4):43–53

  • Liu F, Xu K, Zheng M (2018) The effect of environmental regulation on employment in China: empirical research based on individual-level data. Sustainability 10(7):2373

    Google Scholar 

  • Mackenzie SB, Podsakoff PM, Podsakoff NP (2011) Construct measurement and validation procedures in MIS and behavioral research: integrating new and existing techniques. MIS Q 35(2):293–334

    Google Scholar 

  • MacNamara MAE (2016). Factors influencing agro-environmental regulatorycompliance behaviour on Canterbury dairy farms (Doctoral dissertation, Lincoln University)

  • Manaf NAA, Mas ud A, Ishak Z, Saad N, Russell A (2016) Towards establishing a scale for assessing the attractiveness of petroleum fiscal regimes–evidence from Malaysia. Energy Policy 88:253–261

    Google Scholar 

  • Murillo CZ, Hernández JRH, Vázquez ML (2019, July) Multicriteria analysis in the proposed environmental management regulations for construction in Aurora, Guayas, Ecuador. In: In International Conference on Applied Human Factors and Ergonomics. Springer, Cham, pp 101–113

    Google Scholar 

  • Nunnally JC (1978) Psychometric theory. McGraw-Hill, New York

    Google Scholar 

  • Olken, F., & Rotem, D. (1986). Simple random sampling from relational databases

  • Palmer K, Oates W, Portney P (1995) Tightening environmental standards: the benefit- cost or the no-cost paradigm. J Econ Perspect 9(4):119–132

    Google Scholar 

  • Peng B, Wang Y, Elahi E, Wei G (2019) Behavioral game and simulation analysis of extended producer responsibility system’s implementation under environmental regulations. Environ Sci Pollut Res 26:17644–17654 1-11

    Google Scholar 

  • Picazo-Tadeo AJ, García-Reche A (2007) What makes environmental performance differ between firms? Empirical evidence from the Spanish tile industry. Environ Plan A 39:2232–2247. https://doi.org/10.1068/a38223

    Article  Google Scholar 

  • Porter ME, van der Linde C (1995) Toward a new conception of the environment- competitiveness relationship. J Econ Perspect 9(4):97–118

    Google Scholar 

  • Rubio DM, Berg-Weger M, Tebb SS, Lee ES, Rauch S (2003) Objectifying content validity: conducting a content validity study in social work research. Soc Work Res 27(2):94–104

    Google Scholar 

  • Rugman MA, Verbeke A (1998) Corporate strategies and environmental regulations: an organizing framework. Strateg Manag J 19:363e375

  • Saunders M, Lewis P, Thornhill A (2011) Research methods for business students, 5th edn. Pearson Education, Harlow

    Google Scholar 

  • Shi X, Xu Z (2018) Environmental regulation and firm exports: evidence from the eleventh five-year plan in China. J Environ Econ Manag 89:187–200

    Google Scholar 

  • Song Y, Guo S, Zhang M (2019) Will environmental regulations affect subjective well-being?—a cross-region analysis in China. Environ Sci Pollut Res 26(28):29191–29211

    Google Scholar 

  • Stoever J, Weche JP (2018) Environmental regulation and sustainable competitiveness: evaluating the role of firm-level green investments in the context of the Porter hypothesis. Environ Resour Econ 70(2):429–455

    Google Scholar 

  • Thien LM, Razak NA & Ramayah T (2014). Validating teacher commitment scale using a Malaysian sample. SEGE Open Access, 4

  • Vona F, Marin G, Consoli D, Popp D (2018) Environmental regulation and green skills: an empirical exploration. J Assoc Environ Resour Econ 5(4):713–753

    Google Scholar 

  • Wang Z, Yin F, Zhang Y, Zhang X (2012) An empirical research on the influencing factors of regional CO 2 emissions: evidence from Beijing city China. Appl Energy 100:277e284

    Google Scholar 

  • Wang S, Yu H, Song M (2018) Assessing the efficiency of environmental regulations of large-scale enterprises based on extended fuzzy data envelopment analysis. Ind Manag Data Syst 118(2):463–479

    Google Scholar 

  • Wong CW, Miao X, Cui S, Tang Y (2018) Impact of corporate environmental responsibility on operating income: moderating role of regional disparities in China. J Bus Ethics 149(2):363–382

    Google Scholar 

  • Worthington RL, Whittaker TA (2006) Scale development research a content analysis and recommendations for best practices. Couns Psychol 34:806–838

    Google Scholar 

  • Xu B, Lin B (2016) Reducing carbon dioxide emissions in China's manufacturing industry: a dynamic vector autoregression approach. J Clean Prod 131:594e606

    Google Scholar 

  • Xu L, Prybutok V, Blankson C (2019) An environmental awareness purchasing intention model. Ind Manag Data Syst 119(2):367–381

    Google Scholar 

  • Yu W, Ramanathan R, Nath P (2017) Environmental pressures and performance: an analysis of the roles of environmental innovation strategy and marketing capability. Technol Forecast Soc Chang 117:160–169. https://doi.org/10.1016/j.techfore.2016.12.005

    Article  Google Scholar 

  • Zhang B, Chen X, Guo H (2018) Does central supervision enhance local environmental enforcement? Quasi-experimental evidence from China. J Public Econ 164:70–90

  • Zhao X, Sun B (2016) The influence of Chinese environmental regulation on corporation innovation and competitiveness. J Clean Prod 112:1528–1536

    Google Scholar 

  • Zhao X, Zhao Y, Zeng S, Zhang S (2015) Corporate behavior and competitiveness: impact of environmental regulation on Chinese firms. J Clean Prod 86:311–322

    Google Scholar 

  • Zhao X, Fan Y, Fang M, Hua Z (2018) Do environmental regulations undermine energy firm performance? An empirical analysis from China’s stock market. Energy Res Soc Sci 40:220–231

    Google Scholar 

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Funding

One of the authors wishes to acknowledge the receipt of a PhD scholarship from Petroleum Technology Development Fund (PTDF).

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Abba came up with the research idea and conducted the fieldwork. Abdulsalam analyzed the data. Natrah wrote the report.

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Correspondence to Abba Ya’u.

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Ya’u, A., Saad, N. & Mas’ud, A. Validating the effects of the environmental regulation compliance scale: evidence from the Nigerian oil and gas industry. Environ Sci Pollut Res 28, 13570–13580 (2021). https://doi.org/10.1007/s11356-020-11608-z

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