| Literature DB >> 35206169 |
Peng Xu1, Xinyue Yao1, Lan Lan1, Ke Xu1, Cunkuan Bao1.
Abstract
Identifying the path and effectiveness of governance tools is the key to environmental NIMBY (not in my back yard) event governance. However, there are limited studies on the path between effective governance tools and environmental NIMBY events. Based on the theory of emotional catharsis, we establish an analytical framework for the evolution of the environmental NIMBY event and analyze the effectiveness of the current main governance tools. The results show that government solicitation of opinions (GSOs) governance tools are insignificant in the governance of resistance behavior. The effects of public demand communication (PDC) governance tools and compensation negotiation (CN)governance tools on resistance behaviors all show a significant negative correlation; negative emotions play an intermediary role in their governance tools. The overall performance is that the greater the compensation, the lower the willingness to engage in resistance behavior. The establishment of a reasonable compensation system can effectively reduce the public's willingness to engage in resistance behavior. Through the evaluation of the effectiveness of governance tools in environmental NIMBY events, this study helps to improve governance tools and has important practical significance for solving the environmental NIMBY dilemma.Entities:
Keywords: effectiveness; environmental NIMBY events; governance tools; mediating effect
Mesh:
Year: 2022 PMID: 35206169 PMCID: PMC8872225 DOI: 10.3390/ijerph19041985
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Theoretical analysis framework.
Measurement and design of variables.
| Variable Name | Items | Value |
|---|---|---|
| Psychological loss (PL) | PL 1: Does negative news coverage worry you? | 1–5 scale; |
| PL 2: Does it worry you that environmental protection facilities such as waste incineration plants are harmful? | ||
| PL 3: Do you feel anxious about the unavoidable risks of environmental facilities such as waste incineration plants? | ||
| PL 4: Would it be unfair for waste incineration plants to be built near your home rather than somewhere else? | ||
| Actual loss (AL) | AL 1: The construction of waste incineration plants around your home will cause health damage to yourself and your future generations | |
| AL 2: The construction of waste incineration plants around your home will lead to the depreciation of accessory properties | ||
| Compensation negotiation (CN) | CN 1: Are you willing to accept refuse incineration plants if reasonable financial compensation is provided? | |
| CN 2: Would you agree to live near a NIMBY facility if there are schools, hospitals, parks, subway, shopping malls, or other public service facilities in the vicinity? | ||
| CN 3: Would you agree to live near a NIMBY facility if the government or enterprise regularly provides free physical examinations and psychological counseling services? | ||
| Government solicitation of opinions (GSO) | GSO 1: Participated in the opinion solicitation in the EIA stage | 1–5 scale; |
| GSO 2: Participated in project hearings and demonstration meetings organized by the government | ||
| Public demand communication (PDC) | PDC 1: There is access to government information | |
| PDC 2: There is a platform for voicing concerns | ||
| PDC 3: There are ways to participate in and influence government decisions | ||
| Resistance behavior (RB) | RB 1: If the government builds waste incineration plants, will you sign a joint letter against the project construction? | 0–1 scale; |
| RB 2: If the government builds waste incineration plants, will you spread negative information to other residents or the public through media, Internet, and other means to encourage other residents to resist? | ||
| RB 3: If the government builds waste incineration plants, will you participate in protests organized by others against the project? | ||
| RB 4: If the government builds waste incineration plants, will you take the initiative to initiate and organize other residents to boycott the project construction? |
Demographic structure of the sample.
| Attributes | S |
| Percent (%) |
|---|---|---|---|
| Gender | Male | 488 | 48.6 |
| Female | 517 | 51.4 | |
| Age | ≤18 | 111 | 11.0 |
| 18–34 | 400 | 39.8 | |
| 35–44 | 185 | 18.4 | |
| 45–60 | 134 | 13.3 | |
| 60 | 175 | 17.4 | |
| Level of education | primary school | 59 | 5.9 |
| junior middle school | 230 | 22.9 | |
| high school and technical secondary education | 246 | 24.5 | |
| college and undergraduate education | 430 | 42.8 | |
| master’s or higher | 40 | 4.0 | |
| Annual household income | ≤100,000 yuan | 400 | 39.8 |
| 100,000–300,000 yuan | 468 | 46.6 | |
| 300,000–600,000 yuan | 105 | 10.4 | |
| 600,000 yuan | 23 | 2.3 | |
| ≥1,000,000 yuan | 9 | 9 | |
| Housing nature | Renter | 276 | 27.5 |
| Resettlement house | 207 | 20.6 | |
| Commercial housing | 502 | 50.0 | |
| others | 20 | 2.0 | |
| Facility distance | ≤500 m | 6 | 0.6 |
| 500–1000 m | 217 | 21.6 | |
| 1000–2000 m | 360 | 35.8 | |
| 2000–3000 m | 388 | 38.6 | |
| ≥3000 m | 34 | 3.4 |
Risk levels of various NIMBY facilities.
| Variables | (1) | (2) | (3) |
|---|---|---|---|
| Resistance Behavior | Negative Emotion | Resistance Behavior | |
| GSO | |||
| Public participation in EIA | −0.428 | −0.263 ** | −0.320 |
| (0.175) | (0.582) | (0.175) | |
| Hearing system | −0.276 | −0.086 | −0.376 |
| (0.178) | (0.639) | (0.177) | |
| PDC | |||
| Government information | −0.896 ** | −0.745 ** | −0.146 * |
| (0.129) | (0.077) | (0.130) | |
| Communication platform | −0.215 | −0.304 * | −0.178 * |
| (0.120) | (0.431) | (0.120) | |
| Decision-making channel | −0.660 | −0.102 ** | −0.518 ** |
| (0.124) | (0.488) | (0.124) | |
| CN | |||
| Economic compensation | −0.306 | −0.445 * | −0.252 * |
| (0.995) | (0.355) | (0.997) | |
| Environmental compensation | −0.568 ** | −0.719 * | −0.485 * |
| (0.107) | (0.0391) | (0.107) | |
| Health compensation | −0.191 *** | −0.250 *** | −0.110 *** |
| (0.101) | (0.361) | (0.104) | |
| Sex | 0.505 | 0.337 | −0.536 |
| (0.299) | (0.104) | (0.301) | |
| Age | 0.282 | 0.103 | 0.070 |
| (0.105) | (0.382) | (0.106) | |
| Edu | −0.371 * | −0.132 ** | −0.485 * |
| (0.139) | (0.498) | (0.140) | |
| Income | 0.182 * | 0.590 * | 0.301 * |
| (0.166) | (0.603) | (0.166) | |
| Housing | 0.383 | −0.516 | 0.383 |
| (0.165) | (0.596) | (0.165) | |
| Distance | −0.177 ** | −0.348 * | −0.181 * |
| (0.166) | (0.601) | (0.166) | |
| Negative emotion | −0.790 *** | ||
| (0.0873) | |||
| Constant | 2.022 * | 6.108 *** | 2.516 ** |
| (1.184) | (0.438) | (1.309) | |
| Observations | 1005 | 1005 | 1005 |
| R-squared | 0.648 | 0.707 | 0.598 |
Standard errors in parentheses *** p < 0.01, ** p < 0.05, * p < 0.1.