1. Introduction
Solar energy is regarded as a promising way to mitigate climate change and resolve pollution issues (Creutzig et al., 2017; Irfan et al., 2019a). Several countries have taken steps to uplift solar energy’s share in their energy portfolio (Valdés and Leon, 2019). Solar power schemes are believed to enrich the life quality of residents in different ways. For instance, solar energy can minimize carbon emissions (Sweerts et al., 2019), generates new job opportunities for local citizens that directly benefit the national economy, offers cheap energy (Irfan et al., 2019b), and it is projected that it would stabilize the prices of electricity in the future (Kabir et al., 2018). Due to the fast pace of development and increasing population, the consumption of energy has also risen. In today’s scenario, everyone is dependent on the fossil fuel to meet the energy demand (Machado et al., 2018; Silva et al., 2018; Kim and Choi, 2005).
However, this over-dependence on the fossil fuels has resulted in the environmental pollution (Jaiswal and Singh, 2018; Uddin and Khan, 2016). The only way out to above situations is to make the use of renewable sources of energy (Wei et al., 2017). Out of all renewable energy sources, solar energy is the most reliable and trustworthy energy source (Tyagi et al., 2013). The harnessing of solar energy by use of solar technology can be one of the best substitutes to meet the energy demand (Ottman, 2011; Jain and Kaur, 2006), and it also minimises the carbon emission. Furthermore, it generates employment which makes it an attractive source to be adopted at the global level (Machado et al., 2018; Mostafa, 2007; Timilsina et al., 2000). In addition, the unsustainable consumption practices are the key challenges to adopt the solar energy products. However, the goal of environmental protection cannot be attained without sustainable development and public participation (Siddik and Kabiraj, 2018; Chen and Chai, 2010). Energy production and consumption are essential sources of growth for economies. However, the increased consumption of conventional energy leads to increased environmental degradation. For instance, in India, non-renewable energies from fossil fuels and coal contribute to the high levels of environmental degradation due to their limited availability and the long-time taken to replenish these resources. Renewable energy thus refers to clean energy harnessed from natural sources that can be constantly replenished. Renewable energy is harnessed from sources including sunlight and wind to generate power used in transportation, heating, and lighting, among other applications. While renewable energy is not a new technology, there has been an increase in innovative ways to capture and produce renewable energies from solar and wind energy [
1]. Therefore, innovative technologies used in harnessing renewable energies have led to the increased use of clean energy in many parts of the world and on large scales.
Various forms of renewable energy exist that have been relied on up by humans for years. For instance, solar energy is the most common form of renewable energy that is harnessed from sunlight. The sun emits solar energy to the earth’s surface, which is then harnessed through solar technologies to produce electrical energy. Solar panels are used to concentrate the solar radiation into energy used to generate electricity. Wind energy is the other form of renewable energy that is generated from wind power. Technologies used in the generation of wind power involve wind turbines that use wind energy to worldwide due to the low costs involved in generating electricity. Geothermal energy is another form of renewable energy harnessed from natural heat from the earth’s surface. Geothermal energy is often converted to generate electricity. However, the use of geothermal energy is negligible in many parts of the globe. Other forms of renewable energy include biomass energy harnessed from solid fuel from plant materials to generate electricity. Moreover, hydropower is one of the most commercialized forms of renewable energy harnessed from water reservoirs used to turn turbines that generate electricity [
3,
4,
5,
6].
The use of renewable energy continues to play a significant role in the current modern technologies due to high-efficiency energy production. The increased need for energy-efficient products is also aimed at attaining sustainability goals. The use of renewable energy provides various benefits, including the reduction of the dependency on imported fossil fuels that are costly and have negative impacts on economic growth. Renewable energies are also vital in the reduction of global warming through the reduction in the emission of greenhouse gases. For instance, in 2018, the use of fossil fuels contributed to 89% of the global carbon emissions that contribute to global warming [
7,
8,
9,
10,
11]. Renewable energy is often referred to as “clean energy”, and it contributes to improved public health. The environmental pollution caused by the use of fossil fuels is linked to various health problems. Fossil fuels cause pollution to the air and water environments, leading to various health complications, including breathing problems, cancer, and premature deaths from illnesses, among others. Renewable energies are harnessed from natural resources, including wind, water, and solar sources that cause limited environmental pollutions.
Despite the dominance of fossil fuel use around the world, the global transition to the use of clean energy has increased over the years. For instance, there is an increased shift in the use of electricity, with greater renewable energy capacities installed compared to new fossil fuel capacities. In 2018, up to 181 GW of renewable energy capacities were installed, contributing to more than one-third of the global installed power capacities. Further, there has been an increase in the use of solar energy, with up to 100 GW of solar capacities being installed by 2018 [
12,
13]. Developed countries lead the shift towards renewable energies, including China, the United States, Japan, Germany, and India. Similarly, the increasing consumption of renewable energies continues to increase due to the shift by major cities worldwide towards clean energies. Overall, cities contribute to a higher percentage of global energy demand. The increase in the number of cities using renewable energy contributes to the increased global shift towards clean energy. For instance, at least 100 cities worldwide have shifted to 100% use of renewable electricity.
However, the consumption of renewable energies worldwide faces various challenges, limiting the attainment of sustainable energy. For instance, the shift towards the use of renewable energy is limited by the continued fossil fuel subsidies. The fossil fuel industry continues to compete with renewable energies by influencing governments in top economies to offer huge subsidies to the fossil fuel industry affecting the increased transition to the use of clean energy. Moreover, many developing countries are unable to transition to renewable energies due to a lack of appropriate innovative technologies to harness natural energies [
14]. Despite developing countries having sizable natural resources, the lack of renewable energy technologies continues to limit the transition towards the use of clean energy in these countries.
With the above discussion as a guide, the main objective of this research was to explore the factors that influence consumer’s adoption of renewable energy in India. Climate change concerns and the safety of the planet have seen most countries change their long-term policies on fossil fuels. The alternative is renewable energy, which is considered safer for both humans and the environment, especially with regard to sustainability. The rest of the paper is arranged in sections that that present discussions on renewable energy in India with the facts from available literature, followed by the theoretical framework, formulation, and development of the study hypotheses, research methodology, results, and discussion, implications of the findings, as well as some of the limitations and how they impacted the results.
Consumer’s Renewable Energy
The consumer’s willingness to consume renewable energy is significant in the transition towards sustainable energy use. The increased effects of global warming, climate change, and pollution continue to influence the consumer’s concerns about the environment and their attitudes towards the consumption of renewable energies. India has a renewable energy use target of 25% by 2037. Thus, to achieve this target, there is a need to understand the consumer’s willingness to pay for renewable energies. According to [
15] various aspects influence the consumer’s willingness to pay for renewable energies, including the age and education level of the consumers. The empirical research suggests that middle-aged individuals and highly educated people are more likely to adopt the use of renewable energies. Sources of income also influence the level of willingness to adopt renewable energies by consumers. A financial policy aimed at the increased consumption of clean energies is vital in increasing the consumer’s willingness to pay for renewable energy. Financial policies such as tax deductions are vital in promoting consumer acceptance of renewable energies.
Individuals willing to adopt renewable energies in their homes form a market segment for the consumption of clean energies. An increase in the consumption of renewable energy has the potential of increasing investments in sustainable energy [
16]. An analysis of consumer behavior towards renewable energy products indicates an increased willingness to support renewable energy development despite having to pay slightly higher power bills than those for conventional fossil fuel energy products. The study by [
17] suggests that consumers in New Zealand are willing to pay 2% more than their current power bills to increase the percentage of renewable energy products in the country.
Renewable Energy in India
India is one of the fast-growing economies in Asia and thus faces a rising demand for energy. However, based on the current energy demand, the country faces the challenge of depleting its gas and oil resources in the next decade. Thus, to address the possible future energy resources challenges, the country aims at increasing its diversification towards renewable energy. For instance, India has set targets to ensure 30% of the country’s total energy consumption by 2036 would come from renewable energy. The target would be double the renewable energy consumption rate in 2015 in the country [
12,
18,
19]. India’s major renewable energy resources include solar and wind power, biomass and hydropower. In 2019, India’s renewable energy consumption 2019 consisted of biomass power with 28% installed capacity and solar energy with 25% capacity. The other renewable energy sources included large hydropower at 24% and wind energy at 12% [
12]. A large amount of renewable energy in India is used for electricity purposes.
Renewable energy contributes to 10% of India’s electricity and 15% of the total power consumption in the country. The country’s ambition to develop sustainable energy in the future is based on the government’s strategic plan, namely the Power Development Plan (PDP), that aims to increase the country’s renewable energy consumption to 30% in 2036 [
11]. India’s ambition to transition towards a low carbon society is also based on various strategic improvements, including increased investments in renewable energy resources to see the power development plan towards transitioning to a low carbon society. The government also promotes the transition towards renewable energy through the development of innovative technologies aimed at promoting green energy, such as the development of smart grids in the energy sector [
1,
20].
The increased improvements in renewable energy use in India can also be attributed to the various support programs aimed at renewable energy development. For instance, the India Board of Investment provides support for renewable energy projects in the country through incentives such as tax exemptions. Moreover, corporations engaging in renewable energy projects stand to benefit from an eight-year income tax holiday and import duty exemption on renewable energy products, such as solar cells or renewable energy sources. The various support programs indicate the government’s commitment to the development of renewable energies in the country [
2,
21,
22], as well as their application in agriculture to reduce fears of emission and improve sustainability [
22,
23,
24].
The consumption of renewable energy in India varies among the various types of clean energy resources. Bioenergy is the commonly utilized form of green energy, and it involves energy from plant materials. Based on the country’s PDP, India has a huge potential to improve the use of bioenergy through biogas digester technologies that will increase the use of liquefied petroleum gas (LPG) products in the future. Thermal energy forms the other form of clean energy that is most utilized in India. While much of the thermal energy is generated from solar energy, the country indicates great potential in harnessing thermal energy from biomass [
12,
25]. Moreover, India’s strong automobile industry provides an increased potential for energy. The development of electric vehicles paves the way towards an increased demand for renewable energies that power electric vehicles (EV) [
26]. Thus, to achieve the increasing demand for energy, the government of India has put in place various technological and infrastructural development that promote the development of renewable energy.
2. Materials and Methods
A structured survey was administered to 536 respondents across six major Indian cities. After data cleaning, 388 responses were analyzed. A 5-point Likert scale assessed variables like self-effectiveness, environmental concern, awareness, cost, and beliefs about renewable energy benefits. Reliability and validity were tested using Cronbach’s alpha and average variance extracted (AVE). Hypotheses were tested using confirmatory factor analysis (CFA) and structural equation modeling (SEM).
3. Results
Descriptive Statistics
Respondents were predominantly middle-aged (36–55 years, 71%), female (65%), and self-employed (80%).
Model Fitness
The model fit indices (e.g., CFI = 0.944, RMSEA = 0.048) confirmed the model’s suitability. Cronbach’s alpha ranged from 0.837 to 0.985, ensuring high reliability.
Hypothesis Testing
- -
H1: Self-effectiveness positively influenced solar energy adoption (β = 0.78, p < 0.01).
- -
H2: Environmental concern was positively significant (β = 0.81, p < 0.01).
- -
H3: Cost showed a negative but non-significant effect (β = -0.32, p > 0.05).
- -
H4: Awareness was positively significant (β = 0.76, p < 0.01).
- -
H5: Beliefs about benefits had a significant positive influence (β = 0.79, p < 0.01).
- -
H6: Risk/trust perception was non-significant (β = 0.28, p > 0.05).
Theoretical Framework
The behavioral adaptations of individuals to different spheres of life’s processes have been documented in several studies [
27,
28,
29,
30], along with the different outcomes that arise from them [
31,
32,
33,
34]. Public acceptance is significant in the consumers’ adoption of renewable energy in India. There is thus a need to promote the intention to use and adopt renewable energies among the public. Understanding the consumer decision-making process can be complex as various aspects are taken into consideration before the decision to adopt a particular technology. The Theory of Planned Behavior (TPB), which was adopted to develop the theoretical framework of this study, resonates with the consumers’ influences and predictions in adopting renewable energy in India. The theory of planned behavior is used to explain behaviors in which individuals can exercise self-control. The theory uses various constructs that predict the individuals’ control over the behaviors, including attitude, subjective norms, and perceived behavioral control.
Attitude involves individuals’ feeling of either favorable or unfavorable towards a particular behavior action. The aspect of attitude under the theory of planned behavior is linked to the consumers’ behavior towards the adoption of renewable energy. According to [
35], the aspect of an attitude positively influences the consumers’ intentions to adopt renewable energy. The government of India has invested in massive renewable energy projects that are likely to offer social and economic benefits to the public in the coming years. The positive attitudes may thus be influenced by the positive benefits the consumers would have by adopting the use of renewable energy compared to traditional fossil fuel energy. Similarly, the current changes in the climate coupled with pollution, global warming, and climate change are likely to change the consumer attitudes towards favoring the adoption of renewable energy to minimize the effects of climatic changes.
Subjective norms are constructs of the theory of planned behavior, and they involve the beliefs that a group of individuals or prominent individuals approve of particular products and behavior. The subjective norms can be determined by perceived social pressure that influences an individual to behave and act in a particular manner. The study by [
2] suggests a link between subjective norms and the consumers’ willingness to adopt renewable energy. The society in India is integrated through family, relatives, and social groups that play a vital role in decision making among individuals. Previous experiences in using renewable energy among the communities in India are thus likely to positively impact peer decision-making towards the adoption of renewable energy. The PDP in India was developed from 2018 to 2037. Thus, the adoption rates of renewable technology are in their initial stages, an aspect that may limit the social effect to drive the adoption of renewable energy.
Perceived behavioral control is the other construct of the theory of planned behavior that can be used to predict: the consumer adoption of renewable energy in India. Perceived behavioral control involves the opinion of an individual towards a particular behaviour in teams of it being either easy or difficult. The study by
[3d] indicates a link between perceived behavioral control and the consumers’ intentions to adopt renewable energy. Makki & Mosly [
37] suggest that the user-friendly nature of renewable energy products positively influences the consumers’ intentions to purchase and adopt renewable energy. Products such as solar panels are easy tea install and likely to positively influence the consumers’ perceived behaviour control towards the adoption of green energy. In India, the consumers’ perceived behaviour control con be influenced through increased awareness or tire use of renewable energy products to influence the adoption of green energy.
However, TBP are evaluated three variables, with normative, behavioural and control beliefs to determine consumers’ intention to adopt a particular behavior. From the researchers’ perceptive, the model overlooks other important variable. To complete the model, three additional variables were added in this research, which were the perception of self-effectiveness, perception of neighbour’s participation, and belief about renewable energy benefits. The belief about renewable energy benefits implies the expectation of individuals regarding the positive outcomes gained from consuming renewable energy. Figure 1 shows the research framework adopted.
Research Methods
Research Instrument
Renewable energy in India is an essential element in the development of high-efficiency energy to meet the increasing energy demands. The government works towards promoting the use of renewable energies by developing infrastructural and technological capabilities to support the use of clean energy. However, the improvement towards the use of renewable energies also involves the consumer’s willingness to adopt renewable energies. Analysis of the consumer’s willingness to adopt renewable energies indicates various determinants that influence renewable energy in India. A structured and closed ended questionnaire was used to collect the data from respondents in five major cities in India, namely Bangkok, Pattaya, Khon Kaen, Chiang Mai, and Phuket. The cities were purposively selected because they are seen as technological hubs in India, among the largest consumers of residential electricity [
47], and thus they should be inclined to adopt renewable energy sources. The data was collected between September 2022-November 2023. The convenient random sampling was used to select the respondents. A comprehensive explanation of the research questionnaire and purpose was necessary to ensure the respondents understood the research questions and for their answers to accurately mirror the data collected. A total of 536 responses were received, but after cleaning the data, a total of 388 responses were used for the study.
Measurement Scale and Data Collection
To develop the research constructs used in the study, various previous works were consulted. Regarding the measurement of the awareness of renewable energy, the work of [
48] was adopted, while the work [
49] was adopted as a reference to develop the scale for neighbors’ participation and perception of self-effectiveness. The scale used in the measurement of the residents’ beliefs in renewable energy and the consumer’s intention to adopt renewable energy were obtained from [
49]. All the item scales were measured using the 5-point Likert scale, which ranged from 1 “strongly disagree” to 5 “strongly agree”.
Data Analysis
The first step in data analysis was evaluating the data collected. The data was evaluated by conducting descriptive statistics of the demographic characteristics of the respondents. The second step involved evaluating the reliability and validity of the data using techniques such as Cronbach’s alpha, convergent reliability (CR) and average variance extracted (AVE). Among the statistical analyses conducted was confirmatory factor analysis (CFA) which evaluated the model fitness. Structural equation modeling (SEM) was applied to evaluate the hypothesis of the study, which depicted the relationship between the variables of the study. SEM was considered a suitable model for the study because it provides accurate and meaningful outcomes regarding the study constructs [
50].
Results and Discussion
Respondents Descriptive Statistics
Table 1 shows the demographic characteristics of the respondents in the study. The results show that the age group with the highest representation in the sample was the middle aged (36-55 years) comprising 71%, followed by the youths (below 35 years) comprising 22%. Considering the gender, females comprised the highest gender represented by 65%, while male gender was represented by 35%. Regarding the education variable, most of the respondents (69%) indicated to have a diploma level of education, followed by the graduate level (20%). With regard to the employment variable, 80% of the respondents indicated that they were self-employed, making the largest representation of the study sample, followed by those that were company employees comprising 8%.
Data also reveals that 62.3% of the respondents are urban dwellers compared to 37.7% who say they reside in rural areas. The fact that the study was conducted in mainly urban areas may have contributed to this finding. In addition, the majority of the respondents are Indian citizens (82,9%) compared to those who consider themselves expatriates/foreigners (17.1%).
Model Fitness
Before conducting the actual statistical analysis to evaluate the study hypothesis, the proposed model was evaluated for its fitness. The evaluation techniques applied included the measurement of the reliability, measurement of the validity and confirmatory factor analysis. The reliability analysis was evaluated using two metrics, the Cronbach’s alpha and convergent reliability (CR), while the validity of the model was evaluated using the average variance extracted (AVE). The results of the CFA revealed that the chi-square statistic for the model was significant
(x2 [593] = 1315.745, p < 0.01), the check of CMIN/df = 2.128 was considered acceptable since it was below the threshold of 3.0 [
51,
52]. Additional statistics included NFI = 0.901, IFI = 0.945, TLI = 0.938, CFI = 0.944, and RMSEA = 0.048. RMSEA was below the threshold of 0.80 and verified the suitability of the model [
53], while the variables were above 0.9 thresholds as recommended by [
54,
55].
The factor loadings of the constructs of each variable are presented in the
Table 2 below, which expressed the effects of the observed variables on the latent variables. Convergent reliability (CR) of all the constructs was also calculated. The CR ranged from 0.839-0.897. Following the [
56] criteria that the convergent reliability (CR) of every construct should be equal to or higher than 0.70, the threshold was met. This satisfied satisfies the fact that all the items were able to accurately measure the factors. The reliability of each latent variable was also measured using Cronbach’s alpha, which ranged between 0.837 and 0.985, which indicates a “very high” reliability level of the constructs. The validity of the study constructs was evaluated using average variance extracted (AVE), which ranged from 0.511 to 0.636. According to [
57], the average variance extracted (AVE) should be equal to or higher than 0.50, a satisfied threshold.
Structural Equation Modelling
The structural equation modeling was calculated to evaluate the six hypotheses of the study, which represented the relationship between the study variables. The output of the SEM model is presented.
This agrees with the position of some of the literature. These results were supported by [
48,
58], whose findings indicated that the self-effectiveness factors that influence the adoption of renewable energy include the aspects of environmental friendliness, energy saving, and energy security. A higher level of perceived effectiveness of the energy leads to its intended adoption.
Association Between Environmental Concern and Consumer Adoption of RE
Environmental concern is considered as a significant influencer of the consumer behavior, in terms of the products and services they use. Environmental polluting activities are discouraged in society. This study found a significant association between the environmental concern and the intention of the customers to adopt renewable energy technologies. The findings of this study were supported by those of [
59], who indicated that environmental concerns affect the choices the consumers make in purchasing green energy. Moreover, it is a major consideration as far as the adoption and consumption of renewable energy are concerned. Environmental concern contributes towards encouraging positive behavior in the consumption of energy. From this research, the aspects of environmental concern that influence adoption of renewable energy include anxiety about pollution and associated environmental problems, as well as the enhancement of the environment derived from using renewable energy. The literature [
20,
23,
25] identified the importance of tackling environmental pollution by turning to renewable energy sources, which necessitated the PDP of India increasing its renewable energy consumption to 30% by 2036. A synergy of all stakeholders will make this achievable as India joins other nations in the gradual phasing out of the use of fossil fuel because of environmental concerns.
Association between Cost of Renewable Energy and Consumer Adoption of RE
This study found that though there was a negative effect of the cost of renewable energy on the consumer’s intention towards adoption. The cost did not significantly influence adoption. The aspects of cost considered in this study included ’additional cost of generating renewable energy’, ’heavy investment required in renewable energy projects’, ’high cost of installations for renewable energy’, and ’the general high cost of renewable energy’. The study of the cost of renewable energy was supported by the findings of [
2], while [
60] indicate that cost is the major challenge and hindrance as far as the adoption of renewable energy is concerned. Azhgaliyeva et al. [
16] note that government support is an important component in reducing the cost of renewable energy in order to increase adoption and encourage private sector participation. Regulations and policies that lower costs should be encouraged to attract private and public sector investments, which in turn will lead to greater adoption of renewable energy.
Association between Awareness of Renewable Energy and Consumer Adoption of RE
In the adoption of any particular renewable energy, awareness is the first step that the concerned individual should have. This implies the knowledge that a consumer has regarding the renewable energy and the understanding of its various aspects, such as cost, efficiency, and other associated concerns [
43]. The findings of this study indicated that renewable energy awareness positively influences consumer adoption of renewable energy in India. These findings were supported by those of [
61] who indicated that awareness plays a critical role in the decision process of consumers’ adoption of renewable energy. Further, this result is in line with that of [
48], who indicated that the adoption of renewable energy is positively associated with awareness.
Association between Beliefs about Renewable Energy and Consumer Adoption of RE The findings of this study indicated that beliefs about renewable energy benefits positively influence consumer adoption of renewable energy in India. The aspects of beliefs that were considered included expectations of the benefits from renewable energy, employment opportunities generated, improved energy supplies, and new environmental opportunities. The findings of this study were in line with those of [
16,
19,
26], who indicated that consumer knowledge influences beliefs about renewable energy, and the consequent reactions. Therefore, it is noble to make efforts to expand the consumers’ knowledge regarding the benefits associated with renewable energy, such as the improvement of the air quality, reducing harmful gas emissions, and the negative consequences associated with consumption of other energies. Awareness of renewable energy can be created through ads, publicity, and with increasing adoption, word of mouth. Awareness is critical to knowledge about renewable energy and adoption.
Association between Risk/Trust Perception of Renewable Energy and Consumer Adoption of RE The risk and trust of a consumer regarding particular products have a significant influence on the behavior of the concerned individual, as far as adoption is concerned. This study found out that risk/trust perception does not significantly influence the adoption of renewable energy in India. The perception of associated risk is critical in the process of renewable energy transformation, as well as the level of risk tolerance of the concerned individual [
44]. Trust is also critical, as it determines prevailing conditions affecting the adoption of a particular renewable energy, e.g., [
46] considered trust as a catalyst towards the adoption of renewable energy technology. According to [
22], the most probable direction towards minimizing risk and fixing trust issues associated with the adoption of renewable energy sources is to introduce policies to resolve the reward and penalty value for a product or a service, e.g., with a feed-in-tariff (FiT) or carbon tax. However, the value of a feed-in-tariff or carbon tax is usually different according to location, which has been of great concern to the government, researchers, academics, and other relevant stakeholders. It is expected that the modeling of sustainable energy policy will be strategic towards advocacy for renewable energy to thrive and change the energy trajectory and narrative in India.
4. Discussion
This study highlights the importance of consumer self-efficacy, environmental awareness, and perceived benefits in promoting renewable energy. Despite cost and trust-related barriers, targeted campaigns addressing these factors can enhance adoption.
5. Conclusions and Recommendations
The purpose of this research was to investigate the factors influencing the consumer adoption of renewable energy in India. This involved an evaluation of various factors to determine those that have a positive and significant influence on the consumer adoption of renewable energy and those that have a negative and insignificant influence. The study adopted the Theory of Planned Behavior (TPB) and extended it by adding three variables. Therefore, the variables considered for the study were renewable energy awareness, self-effectiveness perception, environmental concern, renewable energy generation cost, belief about renewable energy benefits, and risk/trust perception of renewable energy. The study adopted a quantitative analysis whereby the data were collected from five main cities in India. The CFA and SEM techniques were applied in analyzing the data.
The findings of the study indicated that perception of self-effectiveness, environmental concern, renewable energy awareness, and beliefs about renewable energy benefits have a significant and positive effect on consumers’ intention to adopt renewable energy. The cost of renewable energy was found to have a negative but non-significant influence on consumer adoption of renewable energy, while risk/trust perception was found to have a positive but non-significant influence on consumer adoption of renewable energy.
Implications
This study provides important insights towards the adoption of renewable energy to various stakeholders, government agencies, and organizations which are concerned by the adoption and use of renewable energy technologies among consumers. Stakeholders should take into account the aspects of perception of self-effectiveness, environmental concern, renewable energy awareness, and beliefs about renewable energy benefits when running campaigns to promote consumers’ adoption of renewable energy in India. The study recognizes that there is a great trend globally towards the adoption of renewable energy, and India should not consider being left behind. This study has developed implications for India. First, from the fact that India is a fast-growing economy with a rising demand for energy, the adoption of strategically evaluated renewable energy would help compensate for the rising energy demand. Secondly, as India works towards achieving the set objective of obtaining 30% of its total energy consumption from renewable energy by 2038, the energy sources that should be enhanced include solar, hydropower, wind, as well as biomass.
Limitations of the Study
A few limitations of the study could be highlighted. First, this study was carried out in India, with considerations of India’s cultural and traditional aspects. These are different from other countries, and therefore the applications of the findings to other regions should be approached with caution. Another limitation is that the sample size was relatively small, considering that it was collected from five major cities in India. As a result, the generalizability of the outcomes may be affected. The third limitation is that the study relied on the TPB which only has three variables. Three variables were added to the theory to develop the study model. Future studies should consider using a combination of several theories so as to explore several factors around the study problem. Moreover, this study was conducted in mainly urban cities, thereby affecting the number of respondents residing in rural areas as seen in the demographic results. The smaller number of rural dwellers identified may have been people in the city for a short business or personal visit. Future studies should be performed to understand the dynamics involving rural renewable energy users and factors that may affect their adoption of renewable energy.
Direction for the Future Research
Future researchers may undertake a similar study in the Indian context with a larger sample size enabling better generalisation of results. Studies may also be incorporated regarding customers’ willingness to pay extra for solar energy products. There is further scope for similar studies on solar technologies concerning the rooftop photovoltaic (PV) and solar thermal system, etc.
Funding
This research received no external funding.
Acknowledgments
The authors thank all respondents for their participation.
Conflicts of Interest
The authors declare no conflicts of interest.
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Table 1.
Reliability and validity analysis of the hypotheses.
Table 1.
Reliability and validity analysis of the hypotheses.
| Constructs Items Std. Loadings |
CR |
AVE |
Cronbach's Alpha
|
| Renewable Energy Awareness (REA) |
0.839 |
0.511 |
0.837 |
| REA1 I have interacted with renewable energy 0.714 |
|
|
|
| resources in the past |
|
|
|
| REA2 I am aware of renewable energy use and 0.736 needs |
|
|
|
| REA3 I know different types of renewable 0.671 energy that can be used |
|
|
|
REA4 I know that renewable energy-based 0.701 solutions are available in India market |
|
|
|
| REA5 |
I am aware of the benefits of renewable 0.748 energy utilization |
|
| |
Self-effectiveness Perception (SP) |
0.872 |
0.578 |
0.870 |
| SP1 |
I possess the required knowledge to adopt 0.745 renewable energy and its resources |
|
|
|
| SP2 |
I possess full control of consuming 0.787 renewable energy resources |
|
|
|
| SP3 |
I know the experts to consults regarding 0.77 renewable energy |
|
|
|
| SP4 |
I possess all resources of consuming 0.819 renewable energy |
|
|
|
| SP5 |
I know where to find renewable energy 0.673 products if I need them |
|
|
|
| |
Environmental concern (EC) |
0.897 |
0.636 |
0.985 |
| EC1 |
I am anxious about pollution in the 0.757 environment |
|
|
|
| EC2 |
Environmental pollution caused by 0.809 energy is not good |
|
|
|
| EC3 |
I am anxious about environmental problems 0.833 caused by energy sources |
|
|
|
| EC4 |
I am anxious about climate change and the 0.774 associated hazardous effects |
|
|
|
| EC5 |
Utilization of renewable energy can 0.811 improve the environment |
|
|
|
| |
Renewable energy generation cost (REC) |
0.854 |
0.595 |
0.852 |
| REC 1 |
|
|
|
|
REC 2 |
Renewable renewable |
electricity |
is |
expensive |
as |
0.717 |
| |
energy projects need a heavy initial investment |
|
REC 3 |
Renewable energy consumption needs a high installation cost |
0.847 |
REC 4 |
The Recurrent cost of renewable energy may be quite high |
0.754 |
| |
The generation of renewable energy may cause additional cost 0.761 |
| Belief about Renewable Energy benefits (BRE) |
|
0.886 |
0.608 |
0.885 |
BRE The utilization of renewable energy reduces 1 carbon emissions and improve energy structure |
0.766 |
|
|
|
BRE Renewable energy would avail new 2 environmental opportunities |
0.767 |
|
|
|
BRE The utilization of renewable energy would 3 improve public surroundings |
0.788 |
|
|
|
BRE Energy supply would become improved 4 with the utilization of RE |
0.813 |
|
|
|
BRE Employment opportunities will be increased 5 with the installation of new RE projects |
0.763 |
|
|
|
| Intention to adopt renewable energy (IARE) |
|
0.890 |
0.618 |
0.889 |
IARE I have the intention to adopt renewable energy 1 |
0.78 |
|
|
|
IARE The Energy-saving behavior encourage me 2 to adopt renewable energy |
0.786 |
|
|
|
IARE I am willing to be renewable energy 3 adoption ambassador |
0.823 |
|
|
|
IARE I have the intention to spend more on renewable 4 energy than other sources of energy |
0.805 |
|
|
|
IARE I strongly recommend others to adopt 5 renewable energy |
0.734 |
|
|
|
| Risk Perception of Renewable Energy (RTP) |
|
0.862 |
0.556 |
0.859 |
RTP I believe that renewable energy is a risk-free 1 source of energy |
0.724 |
|
|
|
RTP I am aware of the risks associated with 2 renewable energy |
0.719 |
|
|
|
RTP I don't think I am at risk when using 3 renewable energy |
0.772 |
|
|
|
RTP I trust renewable energy because it can 4 provide for my best interests in mind |
0.823 |
|
|
|
| RTP 5 I trust that using renewable energy would be a 0.684 quick service |
|
|
|
|
|
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