Assessing public perception and willingness to pay for renewable energy in Pakistan through the theory of planned behavior

With growing urbanization and increasing world population, energy demand also increases. A significant portion of the world’s energy comes from fossil fuels, and these sources of energy are declining rapidly at the current consumption rate. There are also growing environmental concerns on the use of fossil fuels increasing greenhouse gas emissions. In this regard, renewable energy (RE) shows promising solutions which are both sustainable and environmentally friendly. Developed countries and leading organizations are investing heavily in the RE sector. However, the developing world has anxieties over social acceptability and people’s willingness to pay for renewable energy. This study is conducted in Pakistan to understand the public perception and willingness to pay. The Theory of Planned Behavior (TPB) was utilized with background factors such as awareness, perceived advantages, perceived challenges, and moral obligations to examine its influence on people’s willingness to pay. In addition to this, the study also assessed the indirect effects of background factors (awareness, perceived advantages, and perceived challenges) on willingness to pay through public attitude. Furthermore, the indirect relationship between background factors (awareness and moral obligation) and willingness to pay through subjective norms was also examined. A total of 512 samples were gathered from participants and were analyzed through partial least square–structural equation modeling (PLS-SEM) and SPSS. The study findings are very interesting and back up our hypotheses that the background factors (awareness, perceived advantages, and perceived challenges) are positively associated with public attitude and have an indirect effect on willingness to pay through public attitude. Similarly, variables such as awareness and moral obligation are negatively and positively associated with subjective norms, respectively. However, the variables, awareness and moral obligation, have no indirect relationship with willingness to pay through subjective norms. Additionally, the study reveals that the components (attitude and perceived behavior control) of TPB have a significantly positive effect on willingness to pay. The study also concludes that the participants having formal education and knowledge about climate change and renewable energy are inclined toward green energy and are willing to pay, and they are hardly influenced by others' opinions. Furthermore, the study also provides insights for policymakers, suggestions, and recommendations for the future.

[1]  Jian Tian,et al.  The Influence of Consumers’ Purchase Intention Factors on Willingness to Pay for Renewable Energy; Mediating Effect of Attitude , 2022, Frontiers in Energy Research.

[2]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[3]  J. Dewulf,et al.  Understanding Attitudes towards Renewable Energy Technologies and the Effect of Local Experiences , 2021, Energies.

[4]  Jyh-Hone Wang,et al.  Factors influencing consumers’ behavioral intentions to use renewable energy in the United States residential sector , 2021, Energy Reports.

[5]  Muhammad Ayaz Shirazi,et al.  Renewable Energy Perspectives of Pakistan and Turkey: Current Analysis and Policy Recommendations , 2021, Sustainability.

[6]  Xiaohui Liu,et al.  Adoption of Energy-Efficient Home Appliances: Extending the Theory of Planned Behavior , 2020, Sustainability.

[7]  Sunčica Rogić,et al.  Analysis of public attitudes and perceptions towards renewable energy sources in Montenegro , 2020 .

[8]  I. Ajzen The theory of planned behavior: Frequently asked questions , 2020, Human Behavior and Emerging Technologies.

[9]  D. Pearson,et al.  Intention-behaviour gap and perceived behavioural control-behaviour gap in theory of planned behaviour: moderating roles of communication, satisfaction and trust in organic food consumption , 2020 .

[10]  O. Fatoki Factors Influencing the Purchase of Energy-Efficient Appliances by Young Consumers in South Africa , 2020 .

[11]  A. Nizami,et al.  Untapped renewable energy potential of crop residues in Pakistan: Challenges and future directions. , 2019, Journal of environmental management.

[12]  Zhaohua Wang,et al.  Purchasing intentions of Chinese consumers on energy-efficient appliances: Is the energy efficiency label effective? , 2019, Journal of Cleaner Production.

[13]  Galit Shmueli,et al.  Predictive model assessment in PLS-SEM: guidelines for using PLSpredict , 2019, European Journal of Marketing.

[14]  M. Shamsudin,et al.  Transforming to a low carbon society; an extended theory of planned behaviour of Malaysian citizens , 2019, Journal of Cleaner Production.

[15]  Wenyu Zhang,et al.  Extending the Theory of Planned Behavior to Explain the Effects of Cognitive Factors across Different Kinds of Green Products , 2019, Sustainability.

[16]  Syed Ali Fazal,et al.  Green vehicle adoption behavior among low-income households: evidence from coastal Malaysia , 2019, Environmental Science and Pollution Research.

[17]  Ricardo de Araújo Kalid,et al.  A new model for assessing industrial worker behavior regarding energy saving considering the theory of planned behavior, norm activation model and human reliability , 2019, Resources, Conservation and Recycling.

[18]  O. Kaya,et al.  Renewable Energy Perception by Rural Residents of a Peripheral EU Region , 2019, Sustainability.

[19]  Waheed Akhtar,et al.  Determinants of Consumer Intentions to Purchase Energy-Saving Household Products in Pakistan , 2019, Sustainability.

[20]  Joseph F. Hair,et al.  When to use and how to report the results of PLS-SEM , 2019, European Business Review.

[21]  W. Florkowski,et al.  Clean, accessible, and cost-saving: Reasons for rural household investment in solar panels in Poland , 2018, Resources, Conservation and Recycling.

[22]  Mohd Rosli Bin Mohamad,et al.  Intention and behavior towards green consumption among low-income households. , 2018, Journal of environmental management.

[23]  L. Dossey,et al.  The Helper's High. , 2018, Explore.

[24]  W. Florkowski,et al.  Food waste in rural households support for local biogas production in Lubelskie Voivodship (Poland) , 2018, Resources, Conservation and Recycling.

[25]  Syed Ali Fazal,et al.  Recycling Intention and Behavior among Low-Income Households , 2018, Sustainability.

[26]  Miltiadis Chalikias,et al.  Public Perceptions and Willingness to Pay for Renewable Energy: A Case Study from Greece , 2018 .

[27]  Shankar Purbey,et al.  Impact of culture, behavior and gender on green purchase intention , 2018 .

[28]  Karolina Dmochowska-Dudek,et al.  A profile of the Polish rural NIMBYist , 2018 .

[29]  M. S. Khalil,et al.  An overview of implemented renewable energy policy of Pakistan , 2018 .

[30]  Muhammad Kamran,et al.  Current status and future success of renewable energy in Pakistan , 2018 .

[31]  Elizabeth A. Minton,et al.  The subjective norms of sustainable consumption: A cross-cultural exploration , 2018 .

[32]  Eunil Park,et al.  What motivations drive sustainable energy-saving behavior?: An examination in South Korea , 2017 .

[33]  Yen-Nee Goh,et al.  A moral extension of the theory of planned behavior to predict consumers’ purchase intention for energy-efficient household appliances in Malaysia , 2017 .

[34]  Heesup Han,et al.  Cognitive, affective, normative, and moral triggers of sustainable intentions among convention-goers , 2017 .

[35]  Marko Sarstedt,et al.  Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods , 2017, Journal of the Academy of Marketing Science.

[36]  Heesup Han,et al.  What Motivates Delegates’ Conservation Behaviors While Attending a Convention? , 2017 .

[37]  J. Henseler Partial least squares path modeling , 2017 .

[38]  Shanyong Wang,et al.  Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model , 2016 .

[39]  Caterina De Lucia,et al.  Social acceptance of on-shore wind energy in Apulia Region (Southern Italy) , 2015 .

[40]  Viatcheslav Kafarov,et al.  Barriers to social acceptance of renewable energy systems in Colombia , 2015 .

[41]  A. Kowalczyk-Juśko,et al.  Assessment of the Ecological and Energy Awareness of the Citizens in Rural Communes , 2015, Barometr Regionalny. Analizy i Prognozy.

[42]  Véronique Vasseur,et al.  The adoption of PV in the Netherlands: A statistical analysis of adoption factors , 2015 .

[43]  M. Sarstedt,et al.  A new criterion for assessing discriminant validity in variance-based structural equation modeling , 2015 .

[44]  Götz Walter,et al.  Determining the local acceptance of wind energy projects in Switzerland: The importance of general attitudes and project characteristics , 2014 .

[45]  B. Mroczek,et al.  Social Attitudes towards Wind Farms and other Renewable Energy Sources in Poland , 2014 .

[46]  Shwu-Ing Wu,et al.  A Model of Green Consumption Behavior Constructed by the Theory of Planned Behavior , 2014 .

[47]  Susanna Mancinelli,et al.  Two Shades of (Warm) Glow: multidimensional intrinsic motivation, waste reduction and recycling , 2014 .

[48]  Jukka Paatero,et al.  Hybrid application of biogas and solar resources to fulfill household energy needs: A potentially viable option in rural areas of developing countries , 2014 .

[49]  Marko Sarstedt,et al.  PLS-SEM: Looking Back and Moving Forward , 2014 .

[50]  J. Quinton,et al.  Keeping agricultural soil out of rivers: evidence of sediment and nutrient accumulation within field wetlands in the UK. , 2014, Journal of environmental management.

[51]  Y. Wang,et al.  What affects green consumer behavior in China? A case study from Qingdao , 2014 .

[52]  Mohd Talib Latif,et al.  Evaluating the Role of Energy Efficiency Label on Consumers’ Purchasing Behaviour , 2014 .

[53]  Mei‐Fang Chen,et al.  Developing an extended Theory of Planned Behavior model to predict consumers’ intention to visit green hotels , 2014 .

[54]  G. Antonides,et al.  The Norm Activation Model: An exploration of the functions of anticipated pride and guilt in pro-environmental behaviour , 2013 .

[55]  J. Short,et al.  The effect of entrepreneurial rhetoric on microlending investment: : An examination of the warm-glow effect , 2013 .

[56]  Can Wang,et al.  Rural public acceptance of renewable energy deployment: The case of Shandong in China (Online first) , 2013 .

[57]  Hong-Youl Ha,et al.  Predicting consumer intentions to purchase energy‐efficient products , 2012 .

[58]  Patrick Hartmann,et al.  Consumer attitude and purchase intention toward green energy brands: The roles of psychological benefits and environmental concern , 2012 .

[59]  Gholamreza Zahedi,et al.  Greener energy: Issues and challenges for Pakistan-hydel power prospective , 2012 .

[60]  Prabodh Bajpai,et al.  Hybrid renewable energy systems for power generation in stand-alone applications: A review , 2012 .

[61]  Sharmila Pudaruth,et al.  Analysing the impact of green marketing strategies on consumer purchasing patterns in Mauritius , 2012 .

[62]  Firdaus Muhammad-Sukki,et al.  An evaluation of the installation of solar photovoltaic in residential houses in Malaysia: Past, present, and future , 2011 .

[63]  Przemysław Kulawczuk,et al.  Climate Change, Employment and Local Development in Poland , 2011 .

[64]  Timothy F. Smith,et al.  The influence of consumers' environmental beliefs and attitudes on energy saving behaviours , 2011 .

[65]  Gholamreza Zahedi,et al.  Greener energy: Issues and challenges for Pakistan--Biomass energy prospective , 2011 .

[66]  Julie M Schoenung,et al.  Environmental and risk screening for prioritizing pollution prevention opportunities in the U.S. printed wiring board manufacturing industry. , 2011, Journal of hazardous materials.

[67]  B. Cook,et al.  Repurposing climate reconstructions for drought prediction in Southeast Asia , 2011 .

[68]  A. H. Lizawati Aman,et al.  The influence of environmental knowledge and concern on green purchase intention. The role of attitude as mediating variable. , 2011 .

[69]  P. Carvalho,et al.  Biogas/photovoltaic hybrid power system for decentralized energy supply of rural areas , 2010 .

[70]  J. Eiser,et al.  Local Wind or Russian Gas? Contextual Influences on Polish Attitudes to Wind Energy Developments , 2010 .

[71]  G. Whitwell,et al.  Why Ethical Consumers Don’t Walk Their Talk: Towards a Framework for Understanding the Gap Between the Ethical Purchase Intentions and Actual Buying Behaviour of Ethically Minded Consumers , 2010 .

[72]  Natacha Raffin,et al.  Life Expectancy and the Environment , 2010, SSRN Electronic Journal.

[73]  Morris B. Holbrook,et al.  The Conceptualisation and Measurement of Consumer Value in Services , 2008 .

[74]  S. Bamberg,et al.  Social context, personal norms and the use of public transportation: Two field studies , 2007 .

[75]  Yoshiki Yamagata,et al.  Factoring out natural and indirect human effects on terrestrial carbon sources and sinks , 2007 .

[76]  Rolf Wüstenhagen,et al.  Social acceptance of renewable energy innovation: An introduction to the concept , 2007 .

[77]  Patrick Devine-Wright,et al.  Reconsidering Public Acceptance of Renewable Energy Technologies: a Critical Review , 2007 .

[78]  Rolf Wüstenhagen,et al.  Green Energy Market Development in Germany: Effective Public Policy and Emerging Customer Demand , 2006 .

[79]  G. Kok,et al.  A strategy to encourage housing associations to invest in energy conservation , 2005 .

[80]  Paul Ekins,et al.  Step changes for decarbonising the energy system: research needs for renewables, energy efficiency and nuclear power , 2004 .

[81]  Jay Zarnikau,et al.  Consumer demand for ‘green power’ and energy efficiency , 2003 .

[82]  S. Bamberg How does environmental concern influence specific environmentally related behaviors? A new answer to an old question , 2003 .

[83]  I. Ajzen Constructing a TpB Questionnaire: Conceptual and Methodological Considerations , 2002 .

[84]  B. Roe,et al.  US consumers' willingness to pay for green electricity , 2001 .

[85]  A. Rustichini,et al.  Pay Enough or Don't Pay at All , 2000 .

[86]  P. Stern New Environmental Theories: Toward a Coherent Theory of Environmentally Significant Behavior , 2000 .

[87]  D. Trafimow,et al.  The Importance of Subjective Norms on Intentions to Perform Health Behaviors , 1999 .

[88]  Jeffrey M. Wooldridge,et al.  Introductory Econometrics: A Modern Approach , 1999 .

[89]  Michel Laroche,et al.  The Influence of Culture on Pro-Environmental Knowledge, Attitudes, and Behavior: a Canadian Perspective , 1996 .

[90]  P. Rietveld,et al.  Road transport and the environment in Europe , 1993 .

[91]  I. Ajzen The theory of planned behavior , 1991 .

[92]  I. Ajzen,et al.  Predicting dishonest actions using the theory of planned behavior , 1991 .

[93]  J. Andreoni IMPURE ALTRUISM AND DONATIONS TO PUBLIC GOODS: A THEORY OF WARM-GLOW GIVING* , 1990 .

[94]  J. Andreoni Giving with Impure Altruism: Applications to Charity and Ricardian Equivalence , 1989, Journal of Political Economy.

[95]  P. Stern,et al.  Personal and contextual influences on househould energy adaptations. , 1985 .

[96]  W. Bach Impact of increasing atmospheric CO2 concentrations on global climate: Potential consequences and corrective measures , 1979 .

[97]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[98]  Henry L. Tosi,et al.  Organizational behavior and management , 1975 .

[99]  John P. Gilbert,et al.  Statistical Power Analysis for the Behavioral Sciences. Jacob Cohen. Academic Press, New York, 1969. xvi + 416 pp. $13.50 , 1970 .