The Impact of Organizational Support, Environmental Health Literacy on Farmers’ Willingness to Participate in Rural Living Environment Improvement in China: Exploratory Analysis Based on a PLS-SEM Model
Abstract
:1. Introduction
2. Theoretical Analysis
2.1. Organizational Support and Farmers’ Willingness to Participate in Rural living Environment Improvement
2.1.1. Impact of Government Support on Farmers’ Willingness to Participate in Improving Living Environment
2.1.2. Impact of Village Committee Support on Farmers’ Willingness to Participate in Improving Living Environment
2.2. Relationship between Environmental Health Literacy and the Farmers’ Willingness to Participate in Improving their Living Environment
2.3. Mediating Role of Environmental Health Literacy
3. Materials and Methods
3.1. Research Methods
Statistical Indicators | Jiangsu | Gansu | Total | Statistical Indicators | Jiangsu | Gansu | Total | ||
---|---|---|---|---|---|---|---|---|---|
Gender | Female | 313 | 291 | 604 | Age | <18 | 1 | 119 | 120 |
Male | 227 | 394 | 621 | 18–25 | 16 | 16 | 32 | ||
Education level | Illiterate | 8 | 18 | 26 | 26–30 | 41 | 18 | 59 | |
Know some words | 13 | 23 | 36 | 31–40 | 114 | 101 | 215 | ||
Primary Schools | 91 | 122 | 213 | 41–50 | 131 | 271 | 402 | ||
Junior high school | 223 | 243 | 466 | 51–60 | 153 | 118 | 271 | ||
High School | 160 | 231 | 391 | >60 | 84 | 42 | 126 | ||
University and graduate students | 45 | 48 | 93 | Household expenditure (Unit: RMB 10,000) | <1 | 2 | 62 | 64 | |
Resident status | Village officials | 6 | 24 | 6 | 1–3 | 239 | 292 | 531 | |
Villagers’ representatives | 0 | 15 | 0 | 3–6 | 104 | 220 | 324 | ||
Communist Party member | 24 | 54 | 24 | 6–10 | 139 | 84 | 223 | ||
General villagers | 510 | 592 | 510 | >10 | 56 | 27 | 83 |
3.2. Data Sources
3.3. Variable Selection
3.3.1. Farmers’ Willingness to Participate in Rural Living Environment Improvement
3.3.2. Organizational Support
3.3.3. Environmental Health Literacy
4. Results
4.1. Measurement Model Estimation
4.1.1. Validity Test
4.1.2. Covariances Diagnosis
4.2. Model Goodness of Fit Test
4.3. Estimation of the Structural Model
5. Discussion
5.1. Comparison with Literature
5.2. Limitations and Future Research
6. Conclusions
6.1. Conclusions
6.2. Implications
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
References
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Variable Name and Question Item | Assignment | ||
---|---|---|---|
Farmers’ willingness to participate in living environment improvement program (WP) | Very reluctant = 1; Reluctant = 2; Fairly = 3; Willing = 4; Very willing = 5. | ||
WWS | Are you willing to sort your household waste? | ||
WWC | Are you willing to throw garbage at a fixed location, such as a garbage container? | ||
WRS | Are you willing to reduce the discharge of domestic sewage? | ||
WDS | Are you willing to separate the discharge of domestic sewage? | ||
WRT | Are you willing to carry out sanitary toilet renovation? | ||
Organizational support | |||
Government support | |||
Performance of local government departments in living environment improvement. | |||
Government emotional support (GES) | Not at all = 1; Not quite get to = 2; General = 3; Almost there = 4; Exactly equal to = 5 | ||
GES1 | a. Fair and reasonable distribution of remediation materials | ||
GES2 | b. Fair selection of beautiful villages, model villages, etc. | ||
GES3 | c. Try to solve the difficulties encountered in environmental management in the region | ||
Government instrumental support (GIS) | |||
GIS1 | d. Try to provide funds and the required infrastructure and equipment | ||
GIS2 | e. Responsible for environmental management and providing technical guidance | ||
GIS3 | f. Publicize environmental regulation norms through posters and public numbers | ||
GIS4 | g. Township government department staff to inspect the township | ||
Villages Committee Support | |||
Performance of village committee departments in living environment improvement. | |||
Village committee emotional support (VES) | Not at all = 1; Not quite get to = 2; General = 3; Almost there = 4; Exactly equal to = 5 | ||
VES1 | a. Can respect the rights and interests of each person and value individual opinions | ||
VES2 | b. Care about the needs of villagers and provide assistance | ||
VES3 | c. act according to rules and regulations and do not seek personal gain | ||
Village committee instrumental support (VIS) | |||
VIS1 | d. Promote relevant knowledge and skills through radio and WeChat groups | ||
VIS2 | e. Set the requirements and the time and personnel arrangement of activities | ||
VIS3 | f. Organize and mobilize villagers to make their yards and public areas hygiene | ||
VIS4 | g. Supervise the environmental behavior of villagers and carry out hygiene evaluation | ||
Environmental health literacy (EHL) | |||
Do you agree with the following statements? | |||
EHI1 | a. Clear water and green mountains are important guarantees for health | Strongly disagree = 1; Disagree = 2; General = 3; Agree = 4; Strongly agree = 5 | |
EHI2 | b. Rural garbage and sewage and village appearance need to be treated | ||
EHI3 | c. The village environment can be destroyed as long as the income can be improved * | ||
EHI4 | d. The village sanitary environment depends on the consciousness of each person | ||
EHI5 | e. Farmers participate in living environment remediation more efficiently than the government | ||
EHK1 | f. Children, pregnant women, and the elderly are more sensitive to harmful factors. | ||
EHK2 | g. Extreme weather has directly affected human life and health | ||
EHK3 | h. Heart and lung diseases may be acquired in a seriously polluted place for a long time | ||
EHK4 | i. Rational disposal of domestic waste is good for health and environmental protection | ||
EHK5 | j. Burning garbage and dumping sewage pollute the environment and increase health risks | ||
EHS1 | k. Reduce going out or wearing masks in heavy pollution and dust storms | ||
EHS2 | l. Learn and master how to separate household garbage | ||
EHS3 | m. Learn about environmental information in their location through TV and the internet | ||
EHS4 | n. Have the ability to report to the relevant authorities if a company damages the environment |
Potential Variables | Observations Variables | Weights | Potential Variables | Observations Variables | Weights | ||||
---|---|---|---|---|---|---|---|---|---|
Jiangsu | Gansu | All Samples | Jiangsu | Gansu | All Samples | ||||
GES | GES1 | 0.448 *** | 0.430 *** | 0.428 *** | VES | VES1 | 0.531 *** | 0.411 *** | 0.469 *** |
GES2 | 0.457 *** | 0.448 *** | 0.447 *** | VES2 | 0.346 *** | 0.335 *** | 0.334 *** | ||
GES3 | 0.334 *** | 0.449 *** | 0.406 *** | VES3 | 0.400 *** | 0.424 *** | 0.405 *** | ||
GIS | GIS1 | 0.503 *** | 0.511 *** | 0.517 *** | VIS | VIS1 | 0.135 ** | 0.236 *** | 0.196 *** |
GIS2 | 0.179 *** | 0.169 *** | 0.171 *** | VIS2 | 0.266 *** | 0.233 *** | 0.234 *** | ||
GIS3 | 0.313 *** | 0.304 *** | 0.296 *** | VIS3 | 0.124 ** | 0.303 *** | 0.226 *** | ||
GIS4 | 0.336 *** | 0.232 *** | 0.262 *** | VIS4 | 0.682 *** | 0.427 *** | 0.550 *** | ||
EHI | EHI1 | 0.352 *** | 0.274 *** | 0.299 *** | EHS | EHS1 | 0.397 *** | 0.327 *** | 0.351 *** |
EHI2 | 0.299 *** | 0.325 *** | 0.294 *** | EHS2 | 0.271 *** | 0.252 *** | 0.256 *** | ||
EHI3 | 0.261 *** | 0.330 *** | 0.280 *** | EHS3 | 0.333 *** | 0.255 *** | 0.284 *** | ||
EHI4 | 0.130 ** | 0.130 *** | 0.162 *** | EHS4 | 0.297 *** | 0.346 *** | 0.327 *** | ||
EHI5 | 0.255 *** | 0.123 | 0.185 *** | WP | WWS | 0.137 *** | 0.175 *** | 0.167 *** | |
EHK | EHK1 | 0.473 *** | 0.205 *** | 0.325 *** | WWC | 0.285 *** | 0.253 *** | 0.259 *** | |
EHK2 | 0.314 *** | 0.244 *** | 0.310 *** | WRS | 0.300 *** | 0.224 *** | 0.255 *** | ||
EHK3 | 0.174 *** | 0.174 *** | 0.151 *** | WDS | 0.150 *** | 0.208 *** | 0.176 *** | ||
EHK4 | 0.232 *** | 0.206 *** | 0.194 *** | WRT | 0.301 *** | 0.274 *** | 0.287 *** | ||
EHK5 | 0.128 *** | 0.337 *** | 0.240 *** |
Cross-Loadings | WP | EHS | GIS | GES | VIS | VES | EHI | EHK |
---|---|---|---|---|---|---|---|---|
VIS1 | 0.518 | 0.490 | 0.550 | 0.457 | 0.736 | 0.562 | 0.479 | 0.434 |
VIS2 | 0.546 | 0.532 | 0.582 | 0.507 | 0.777 | 0.607 | 0.489 | 0.463 |
VIS3 | 0.543 | 0.524 | 0.578 | 0.506 | 0.768 | 0.601 | 0.489 | 0.449 |
VIS4 | 0.628 | 0.601 | 0.630 | 0.559 | 0.910 | 0.645 | 0.602 | 0.549 |
GIS1 | 0.633 | 0.593 | 0.881 | 0.580 | 0.614 | 0.612 | 0.564 | 0.522 |
GIS2 | 0.509 | 0.471 | 0.694 | 0.460 | 0.484 | 0.497 | 0.435 | 0.402 |
GIS3 | 0.555 | 0.512 | 0.778 | 0.497 | 0.595 | 0.570 | 0.516 | 0.459 |
GIS4 | 0.522 | 0.507 | 0.744 | 0.478 | 0.551 | 0.544 | 0.505 | 0.417 |
EHS1 | 0.712 | 0.863 | 0.577 | 0.608 | 0.572 | 0.579 | 0.699 | 0.618 |
EHS2 | 0.643 | 0.778 | 0.507 | 0.552 | 0.507 | 0.529 | 0.625 | 0.546 |
EHS3 | 0.656 | 0.819 | 0.561 | 0.589 | 0.581 | 0.570 | 0.675 | 0.599 |
EHS4 | 0.660 | 0.815 | 0.552 | 0.592 | 0.535 | 0.562 | 0.678 | 0.608 |
EHI1 | 0.655 | 0.637 | 0.526 | 0.578 | 0.531 | 0.522 | 0.814 | 0.568 |
EHI2 | 0.663 | 0.698 | 0.554 | 0.599 | 0.552 | 0.552 | 0.836 | 0.631 |
EHI3 | 0.611 | 0.623 | 0.506 | 0.553 | 0.500 | 0.513 | 0.770 | 0.592 |
EHI4 | 0.677 | 0.677 | 0.518 | 0.579 | 0.527 | 0.533 | 0.828 | 0.624 |
EHI5 | 0.668 | 0.705 | 0.549 | 0.603 | 0.538 | 0.540 | 0.837 | 0.608 |
EHK1 | 0.616 | 0.622 | 0.492 | 0.542 | 0.512 | 0.542 | 0.620 | 0.861 |
EHK2 | 0.606 | 0.604 | 0.501 | 0.511 | 0.506 | 0.534 | 0.607 | 0.842 |
EHK3 | 0.544 | 0.551 | 0.443 | 0.480 | 0.465 | 0.494 | 0.567 | 0.767 |
EHK4 | 0.567 | 0.588 | 0.476 | 0.524 | 0.469 | 0.512 | 0.610 | 0.806 |
EHK5 | 0.566 | 0.576 | 0.456 | 0.469 | 0.469 | 0.480 | 0.592 | 0.778 |
VES1 | 0.609 | 0.584 | 0.614 | 0.558 | 0.612 | 0.849 | 0.548 | 0.535 |
VES2 | 0.561 | 0.528 | 0.550 | 0.499 | 0.598 | 0.786 | 0.515 | 0.502 |
VES3 | 0.594 | 0.576 | 0.595 | 0.518 | 0.630 | 0.836 | 0.547 | 0.523 |
GES1 | 0.583 | 0.549 | 0.516 | 0.783 | 0.493 | 0.524 | 0.565 | 0.490 |
GES2 | 0.577 | 0.548 | 0.482 | 0.776 | 0.482 | 0.474 | 0.563 | 0.481 |
GES3 | 0.579 | 0.578 | 0.528 | 0.781 | 0.499 | 0.498 | 0.542 | 0.483 |
WGC | 0.871 | 0.706 | 0.617 | 0.645 | 0.627 | 0.635 | 0.692 | 0.635 |
WGP | 0.895 | 0.735 | 0.630 | 0.658 | 0.587 | 0.630 | 0.734 | 0.642 |
WRS | 0.869 | 0.699 | 0.631 | 0.653 | 0.635 | 0.618 | 0.697 | 0.607 |
WDS | 0.852 | 0.707 | 0.613 | 0.643 | 0.616 | 0.607 | 0.662 | 0.593 |
WRT | 0.877 | 0.715 | 0.631 | 0.647 | 0.593 | 0.630 | 0.701 | 0.644 |
Statistical Test Volume | Jiangsu | Gansu | All Samples | ||||||
---|---|---|---|---|---|---|---|---|---|
SRMR | d_G | NFI | SRMR | d_G | NFI | SRMR | d_G | NFI | |
Adaptive criteria or critical values | <0.08 | <0.95 | >0.9 | <0.08 | <0.95 | >0.9 | <0.08 | <0.95 | >0.9 |
Test results | 0.042 | 0.306 | 0.913 | 0.061 | 0.327 | 0.933 | 0.051 | 0.242 | 0.943 |
Model fitness judgment | acceptable | Adaptation | acceptable | Good | acceptable | acceptable | Good | acceptable | acceptable |
Variables | R2 (R2adj) | ||
---|---|---|---|
Jiangsu | Gansu | All Samples | |
WP | 0.792 (0.789) | 0.762 (0.760) | 0.777 (0.775) |
EHI | 0.609 (0.606) | 0.593 (0.590) | 0.602 (0.601) |
EHK | 0.552 (0.549) | 0.473 (0.470) | 0.495 (0.493) |
EHS | 0.597 (0.594) | 0.634 (0.632) | 0.628 (0.626) |
Effectiveness | Path | Jiangsu | Gansu | All Samples | Effectiveness | Path | Jiangsu | Gansu | All Samples |
---|---|---|---|---|---|---|---|---|---|
Direct effect | GES -> EHI | 0.414 *** | 0.384 *** | 0.410 *** | Indirect effects | GES -> EHI -> WP | 0.071 *** | 0.088 *** | 0.088 *** |
GES -> EHK | 0.323 *** | 0.295 *** | 0.299 *** | GES -> EHK -> WP | 0.028 ** | 0.032 *** | 0.029 *** | ||
GES -> EHS | 0.434 *** | 0.334 *** | 0.374 *** | GES -> EHS -> WP | 0.108 *** | 0.095 *** | 0.100 *** | ||
GIS -> EHI | 0.220 *** | 0.095 ** | 0.154 *** | GIS -> EHI -> WP | 0.037 *** | 0.022 ** | 0.033 *** | ||
GIS -> EHK | 0.137 *** | 0.052 | 0.099 *** | GIS -> EHK -> WP | 0.012 * | 0.006 | 0.010 ** | ||
GIS -> EHS | 0.167 *** | 0.131 *** | 0.163 *** | GIS -> EHS -> WP | 0.042 *** | 0.037 *** | 0.044 *** | ||
VES -> EHI | 0.162 *** | 0.160 *** | 0.158 *** | VES -> EHI -> WP | 0.028 *** | 0.037 *** | 0.034 *** | ||
VES -> EHK | 0.271 *** | 0.261 *** | 0.264 *** | VES -> EHK -> WP | 0.023 ** | 0.028 *** | 0.025 *** | ||
VES -> EHS | 0.162 *** | 0.235 *** | 0.208 *** | VES -> EHS -> WP | 0.040 *** | 0.067 *** | 0.056 *** | ||
VIS -> EHI | 0.100 ** | 0.236 *** | 0.163 *** | VIS -> EHI -> WP | 0.017 ** | 0.054 *** | 0.035 *** | ||
VIS -> EHK | 0.127 *** | 0.171 *** | 0.141 *** | VIS -> EHK -> WP | 0.011 * | 0.019 ** | 0.014 *** | ||
VIS -> EHS | 0.121 *** | 0.207 *** | 0.162 *** | VIS -> EHS -> WP | 0.030 *** | 0.059 *** | 0.043 *** | ||
GES -> WP | 0.236 *** | 0.084 *** | 0.158 *** | Total effect | GES -> WP | 0.442 *** | 0.299 *** | 0.375 *** | |
GIS -> WP | 0.117 *** | 0.149 *** | 0.126 *** | GIS -> WP | 0.208 *** | 0.214 *** | 0.212 *** | ||
VES -> WP | 0.106 *** | 0.106 *** | 0.095 *** | VES -> WP | 0.197 *** | 0.238 *** | 0.211 *** | ||
VIS -> WP | 0.078 ** | 0.039 | 0.059 ** | VIS -> WP | 0.136 *** | 0.170 *** | 0.151 *** | ||
EHI -> WP | 0.170 *** | 0.230 *** | 0.216 *** | ||||||
EHK -> WP | 0.086 ** | 0.109 *** | 0.096 *** | ||||||
EHS -> WP | 0.249 *** | 0.283 *** | 0.268 *** |
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Wang, J.; Ding, X.; Li, D.; Li, S. The Impact of Organizational Support, Environmental Health Literacy on Farmers’ Willingness to Participate in Rural Living Environment Improvement in China: Exploratory Analysis Based on a PLS-SEM Model. Agriculture 2022, 12, 1798. https://doi.org/10.3390/agriculture12111798
Wang J, Ding X, Li D, Li S. The Impact of Organizational Support, Environmental Health Literacy on Farmers’ Willingness to Participate in Rural Living Environment Improvement in China: Exploratory Analysis Based on a PLS-SEM Model. Agriculture. 2022; 12(11):1798. https://doi.org/10.3390/agriculture12111798
Chicago/Turabian StyleWang, Jing, Xiang Ding, Dongjian Li, and Shiping Li. 2022. "The Impact of Organizational Support, Environmental Health Literacy on Farmers’ Willingness to Participate in Rural Living Environment Improvement in China: Exploratory Analysis Based on a PLS-SEM Model" Agriculture 12, no. 11: 1798. https://doi.org/10.3390/agriculture12111798
APA StyleWang, J., Ding, X., Li, D., & Li, S. (2022). The Impact of Organizational Support, Environmental Health Literacy on Farmers’ Willingness to Participate in Rural Living Environment Improvement in China: Exploratory Analysis Based on a PLS-SEM Model. Agriculture, 12(11), 1798. https://doi.org/10.3390/agriculture12111798