Autarky and the Promotion of Photovoltaics for Sustainable Energy Development: Prosumer Attitudes and Choices
Abstract
:1. Introduction
- embedding considerations and research in the social trend of sustainable energy development—most analyses regarding solar energy are technological or economic in nature;
- closing the research gap regarding previously unexplored behavioral aspects of prosumerism, i.e., the importance of autarky and the effectiveness of photovoltaics promotion;
- identifying the importance of autarky in decisions regarding installing a photovoltaic installation;
- identifying the most effective ways to promote sustainable energy;
- assessing the differences in prosumers’ attitudes towards autarky and the promotion of renewable energy sources due to the age and place of residence of prosumers, and the age of the property;
- formulating recommendations for implementing the energy transformation in emerging and developing economies.
2. Literature Studies
2.1. Contemporary Trends in the Analysis of Sustainable Energy
2.2. Motives for Using Photovoltaic Technologies from a Social Perspective
2.3. Autarky as a Social Motive for the Use of Photovoltaic Technologies
2.4. Promoting Renewable Energy Sources
3. Materials and Methods
3.1. Justification for Undertaking the Research and Research Questions
3.2. Survey as a Research Tool
- fraction size: 0.5;
- 4% maximum error defining the scale of the difference between the results obtained in the sample and the population;
- 97% confidence percentage that determines the certainty of the results obtained.
- Internet,
- TV,
- press,
- professional industry literature,
- companies installing photovoltaics,
- government photovoltaic-related materials,
- other, please specify:
3.3. Statistical Tools in the Analysis of Survey Results
- respondents’ age (below 30 years old; 31–50 years old; above 50 years old);
- age of the property (below 5 years; 6–10 years; 11–20 years; above 20 years);
- place of residence (rural; city area).
- Currently, three generations (X, Y and Z) are active decision-makers in the electricity market; they differ significantly in values and attitudes [96,97,98], which, in turn, influence the choices and decisions they make. Therefore, the age of prosumers was considered a feature that may also significantly affect the behavior of these generations on the electricity market.
- The age of the property is closely related to the heating systems used and energy efficiency [99,100,101]. The older the property, the more difficult it is (for technical and economic reasons) to adapt it to the use of modern, pro-ecological energy solutions. Taking the above regularities into account, this feature was included in the specification in order to verify whether it differentiates between prosumers in matters related to energy independence and the promotion of photovoltaics.
- The place of residence (rural area or city) may, in turn, influence both the technical capabilities of the photovoltaic installation, as well as access and intensity of information promoting renewable energy [102,103]. For these reasons, this feature was included in the data as a potential determinant of various attitudes and behaviors of prosumers.
- the Mann-Whitney U test for two unrelated samples comparing the median of the distributions (used for the place of residence: rural/city area);
- the Kruskal-Wallis test for more than two unrelated samples comparing the variance of distributions (used for the age of the property and the age of the respondents).
4. Results
4.1. The Importance of Autarky in Prosumer Attitudes
4.2. The Importance of Autarky in Prosumer Attitudes
5. Discussion
5.1. Autarky in the Development of the Photovoltaics Market
5.2. Promotion in the Development of the Photovoltaics Market
- encouraging the use of photovoltaics by highlighting and increasing the energy independence of prosumers;
- striving to develop and implement technical and infrastructure solutions for autarky;
- taking into account the identified hierarchy of forms of promotion, in which the most important are online and business channels and so-called word-of-mouth marketing, in the process of the dissemination of renewable energy sources;
- developing government strategies for promoting renewable energy sources in line with the expectations of potential prosumers;
- strengthening prosumers’ trust in government institutions;
- depoliticizing and stabilizing the process of sustainable energy transformation, promoting a sense of security among the prosumer community.
5.3. Research Conclusions and Renewable Energy Development Policy in Poland
- Strengths and weaknesses refer to the attitudes and behaviors of Polish prosumers observed in the research;
- Opportunities and threats of the renewable energy development policy result directly from the identified strengths and weaknesses and refer to the entire prosumer sector.
6. Conclusions
6.1. Summary of Research Results
6.2. Research Strengths and Limitations
6.3. Further Research Directions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Stage | Research Question | Research Tools |
---|---|---|
Assessment of the tendency to autarky | RQ1: What proportion of Polish prosumers are interested in gaining full energy independence? | A survey question about interest in autarky rated on a 5-point Likert scale. Measures of central tendency and diversity. |
Identification of the determinants of autarky. | RQ2: Is there a relationship between the individual characteristics of prosumer households (place of residence, age of the property owner, age of the property) and the level of autarky? | The use of three demographic questions and a survey question about interest in autarky. The Mann-Whitney U test for two unrelated samples. The Kruskal-Wallis test for more than two unrelated samples. |
Assessment of the effectiveness of photovoltaic technologies promotion channels. | RQ3: What promotional channels are the most effective form of popularizing photovoltaic technologies? | Survey questions about the effectiveness of photovoltaic technologies information sources rated on a 5-point Likert scale. Measures of central tendency and diversity. |
Identification of connections between individual characteristics of households and the choice of channel for obtaining information about photovoltaic technologies. | RQ4: Are the individual characteristics of prosumer households (place of residence, age of the property owner, age of the property) related to decisions about the choice of channel for obtaining information about photovoltaic technologies? | The use of three demographic questions and a survey question on the effectiveness of information sources about photovoltaics. The Mann-Whitney U test for two unrelated samples. The Kruskal-Wallis test for more than two unrelated samples. |
Linking research results with RES development policy in Poland. | - | SWOT analysis |
Variable | Rank Sum for the City | Rank Sum for the Rural Area | Z | p-Value |
---|---|---|---|---|
Autarky | 164,063 | 120,572 | 2.2348 | 0.0254 * |
Group | Mean | Median | Dominant | Dominant Quantity | Standard Deviation | Coefficient of Variation |
---|---|---|---|---|---|---|
All | 3.6499 | 4.0000 | 4.0000 | 271 | 1.0771 | 29.51% |
City | 3.7218 | 4.0000 | 4.0000 | 159 | 1.0783 | 28.97% |
Rural area | 3.5608 | 4.0000 | 4.0000 | 112 | 1.0704 | 30.06% |
Information Source | Statistical Measures | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Mean | Median | Dominant | Dominant Quantity | Minimum | Maximum | Standard Deviation | Coefficient of Variation | Skewness | Kurtosis | |
Internet | 3.8793 | 4.0000 | 4.0000 | 285 | 1.0000 | 5.0000 | 1.0860 | 27.994 | −0.9442 | 0.360 |
TV | 2.8634 | 3.0000 | 3.0000 | 228 | 1.0000 | 5.0000 | 1.2587 | 43.957 | 0.1187 | −0.935 |
press | 2.6233 | 3.0000 | 3.0000 | 234 | 1.0000 | 5.0000 | 1.2169 | 46.386 | 0.2721 | −0.802 |
professional industry literature | 2.9257 | 3.0000 | 3.0000 | 200 | 1.0000 | 5.0000 | 1.2676 | 43.324 | −0.0642 | −1.049 |
companies installing photovoltaics | 3.6645 | 4.0000 | 4.0000 | 263 | 1.0000 | 5.0000 | 1.1150 | 30.427 | −0.6131 | −0.307 |
government photovoltaic-related materials | 2.8647 | 3.0000 | 3.0000 | 236 | 1.0000 | 5.0000 | 1.2402 | 43.292 | −0.0015 | −0.941 |
Promotional Source | Kruskal-Wallis Test | p-Value |
---|---|---|
Internet | 6.3037 | 0.0428 * |
Companies installing photovoltaics | 12.0555 | 0.0024 * |
Government photovoltaic-related materials | 6.7412 | 0.0344 * |
Group | Mean | Median | Dominant | Dominant Quantity | Standard Deviation | Coefficient of Variation |
---|---|---|---|---|---|---|
Internet | ||||||
Up to 30 years | 3.6078 | 4.0000 | 4.0000 | 22 | 1.0598 | 29.37% |
From 31 to 50 years | 3.8626 | 4.0000 | 4.0000 | 161 | 1.1104 | 30.81% |
Over 51 years | 3.9613 | 4.0000 | 4.0000 | 102 | 1.0776 | 27.20% |
Companies installing photovoltaics | ||||||
Up to 30 years | 3.3921 | 4.000000 | 4.0000 | 20 | 1.0407 | 30.68% |
From 31 to 50 years | 3.6036 | 4.000000 | 4.0000 | 152 | 1.1104 | 30.81% |
Over 51 years | 3.8224 | 4.000000 | 4.0000 | 91 | 1.1203 | 29.30% |
Government photovoltaic-related materials | ||||||
Up to 30 years | 3.0588 | 3.0000 | 3.0000 | 19 | 1.0847 | 35.46% |
From 31 to 50 years | 2.7027 | 3.0000 | 3.0000 | 75 | 1.2041 | 40.99% |
Over 51 years | 2.7024 | 3.0000 | 3.0000 | 75 | 1.3150 | 48.65% |
Variable | Rank Sum for the City | Rank Sum for the Rural Area | Z | p-Value |
---|---|---|---|---|
TV | 163.423 | 121.212 | 2.0195 | 0.0382 * |
Press | 166.630 | 118.005 | 3.0980 | 0.0014 * |
Professional industry literature | 169.868 | 114.766 | 4.1871 | 0.0000 * |
Government photovoltaic-related materials | 173.061 | 111.574 | 5.4094 | 0.0000 * |
Group | Mean | Median | Dominant | Dominant Quantity | Standard Deviation | Coefficient of Variation |
---|---|---|---|---|---|---|
TV | ||||||
All | 2.8634 | 3.0000 | 3.000000 | 228 | 1.2586 | 43.95% |
City | 2.9496 | 3.0000 | 3.000000 | 132 | 1.2325 | 41.78% |
Rural area | 2.7567 | 3.0000 | 3.000000 | 96 | 1.2841 | 46.58% |
Press | ||||||
All | 2.6233 | 3.0000 | 3.0000 | 234 | 1.2168 | 46.38% |
City | 2.7458 | 3.0000 | 3.0000 | 146 | 1.1899 | 43.33% |
Rural area | 2.4718 | 2.0000 | 1.0000 | 95 | 1.2344 | 49.93% |
Professional industry literature | ||||||
All | 2.9257 | 3.0000 | 3.0000 | 200 | 1.2675 | 43.32% |
City | 3.1007 | 3.0000 | 4.0000 | 126 | 1.2439 | 40.11% |
Rural area | 2.7091 | 3.0000 | 3.0000 | 92 | 1.2647 | 46.68% |
Government photovoltaic-related materials | ||||||
All | 2.8647 | 3.0000 | 3.0000 | 236 | 1.240208 | 43.29% |
City | 3.0791 | 3.0000 | 3.0000 | 137 | 1.193319 | 38.75% |
Rural area | 2.5994 | 3.0000 | 3.0000 | 99 | 1.247521 | 47.99% |
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Jonek-Kowalska, I.; Grebski, W. Autarky and the Promotion of Photovoltaics for Sustainable Energy Development: Prosumer Attitudes and Choices. Energies 2024, 17, 3919. https://doi.org/10.3390/en17163919
Jonek-Kowalska I, Grebski W. Autarky and the Promotion of Photovoltaics for Sustainable Energy Development: Prosumer Attitudes and Choices. Energies. 2024; 17(16):3919. https://doi.org/10.3390/en17163919
Chicago/Turabian StyleJonek-Kowalska, Izabela, and Wieslaw Grebski. 2024. "Autarky and the Promotion of Photovoltaics for Sustainable Energy Development: Prosumer Attitudes and Choices" Energies 17, no. 16: 3919. https://doi.org/10.3390/en17163919
APA StyleJonek-Kowalska, I., & Grebski, W. (2024). Autarky and the Promotion of Photovoltaics for Sustainable Energy Development: Prosumer Attitudes and Choices. Energies, 17(16), 3919. https://doi.org/10.3390/en17163919