Regional Regulations and Public Safety Perceptions of Quality-of-Life Issues: Empirical Study on Food Safety in China
Abstract
:1. Introduction
2. Theoretical Framework and Hypothesis
2.1. Food Safety Perceptions and Determinants
2.2. Provincial Regulations and Public Perceptions of Food Safety
3. Data and Methods
4. Model and Analysis of Results
5. Discussion and Conclusions
5.1. Discussion
5.2. Future Directions
Author Contributions
Funding
Conflicts of Interest
References
- Liu, R.; Pieniak, Z.; Verbeke, W. Consumers’ attitudes and behaviour towards safe food in China: A review. Food Control 2013, 33, 93–104. [Google Scholar] [CrossRef]
- Yan, Y. Food Safety and Social Risk in Contemporary China. J. Asian Stud. 2012, 71, 705–729. [Google Scholar] [CrossRef]
- Kantar World Panel, Bain & Company. China Shopper Report. Available online: https://www.kantarworldpanel.com/cn-en/publications/Reports (accessed on 13 August 2020).
- Lin, C.-T.J. Demographic and Socioeconomic Influences on the Importance of Food Safety in Food Shopping. Agric. Resour. Econ. Rev. 1995, 24, 190–198. [Google Scholar] [CrossRef] [Green Version]
- Wu, X.; Yang, D.L.; Chen, L. The Politics of Quality-of-Life Issues: Food Safety and Political Trust in China. J. Contemp. China 2017, 26, 601–615. [Google Scholar] [CrossRef]
- Dosman, D.M.; Adamowicz, W.L.; Hrudey, S.E. Socioeconomic determinants of health-and food safety-related risk perceptions. Risk Anal. 2001, 21, 307–318. [Google Scholar] [CrossRef] [PubMed]
- Smith, D.; Riethmuller, P. Consumer concerns about food safety in Australia and Japan. Int. J. Soc. Econ. 1999, 26, 724–742. [Google Scholar] [CrossRef]
- Yeung, R.M.; Morris, J. Consumer perception of food risk in chicken meat. Nutr. Food Sci. 2001, 31, 270–279. [Google Scholar] [CrossRef]
- Slovic, P.; Fischhoff, B.; Lichtenstein, S. Rating the Risks. Environment 1979, 21, 14–39. [Google Scholar]
- Sandman, P.M. Risk communication: Facing public outrage. EPA J. 1987, 13, 21–22. [Google Scholar] [CrossRef] [Green Version]
- Hodgson, A.; Hitchings, R. Urban air pollution perception through the experience of social practices: Talking about breathing with recreational runners in London. Health Place 2018, 53, 26–33. [Google Scholar] [CrossRef]
- Panzini, R.G.; Mosqueiro, B.P.; Zimpel, R.R.; Bandeira, D.R.; Da Rocha, N.S.; Fleck, M.P. Quality-of-life and spirituality. Int. Rev. Psychiatry 2017, 29, 263–282. [Google Scholar] [CrossRef] [PubMed]
- Liu, P.; Ma, L. Food scandals, media exposure, and citizens’ safety concerns: A multilevel analysis across Chinese cities. Food Policy 2016, 63, 102–111. [Google Scholar] [CrossRef]
- Kang, Y. Food safety governance in China: Change and continuity. Food Control. 2019, 106, 106752. [Google Scholar] [CrossRef]
- Wahl, T.; Seale, J.; Bai, J. Chinese Urban Consumers Perception of the Chinese Urban Consumers Perception of the Determinants of Food Safety; International Association of Agricultural Economists (IAAE): Vancouver, BC, Canada, 2018. [Google Scholar]
- Wang, E.; Gao, Z.; Heng, Y.; Shi, L. Chinese consumers’ preferences for food quality test/measurement indicators and cues of milk powder: A case of Zhengzhou, China. Food Policy 2019, 89, 101791. [Google Scholar] [CrossRef]
- Liu, R.; Gao, Z.; Snell, H.A.; Ma, H. Food safety concerns and consumer preferences for food safety attributes: Evidence from China. Food Control 2020, 112, 107157. [Google Scholar] [CrossRef]
- Wike, R.; Parker, B. Corruption, Pollution, Inequality Are Top Concerns in China: Many Worry about Threats to Traditions and Culture; Pew Research Center: Washington, DC, USA, 2015. [Google Scholar]
- Leikas, S.; Lindeman, M.; Roininen, K.; Lähteenmäki, L. Food risk perceptions, gender, and individual differences in avoidance and approach motivation, intuitive and analytic thinking styles, and anxiety. Appetite 2007, 48, 232–240. [Google Scholar] [CrossRef]
- Liu, P.; McGuire, W. One Regulatory State, Two Regulatory Regimes: Understanding dual regimes in China’s regulatory state building through food safety. J. Contemp. China 2015, 24, 119–136. [Google Scholar] [CrossRef]
- Lee, H.F.; Boccalatte, M. Food safety in China from North American and European perspectives. Asian Geogr. 2019, 36, 143–164. [Google Scholar] [CrossRef]
- Schroeder, T.C.; Tonsor, G.T.; Pennings, J.M.; Mintert, J. Consumer Food Safety Risk Perceptions and Attitudes: Impacts on Beef Consumption across Countries. B.E. J. Econ. Anal. Policy 2007, 7. [Google Scholar] [CrossRef] [Green Version]
- Bearth, A.; Cousin, M.-E.; Siegrist, M. The consumer’s perception of artificial food additives: Influences on acceptance, risk and benefit perceptions. Food Qual. Prefer. 2014, 38, 14–23. [Google Scholar] [CrossRef]
- Rossi, M.D.S.C.; Stedefeldt, E.; Da Cunha, D.; De Rosso, V.V. Food safety knowledge, optimistic bias and risk perception among food handlers in institutional food services. Food Control 2017, 73, 681–688. [Google Scholar] [CrossRef]
- Hilverda, F.; Kuttschreuter, M.; Giebels, E. Social media mediated interaction with peers, experts and anonymous authors: Conversation partner and message framing effects on risk perception and sense-making of organic food. Food Qual. Prefer. 2017, 56, 107–118. [Google Scholar] [CrossRef] [Green Version]
- Han, G.; Liu, Y. Does Information Pattern Affect Risk Perception of Food Safety? A National Survey in China. Int. J. Environ. Res. Public Health 2018, 15, 1935. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Vilella-Vila, M.; Costa-Font, J. Press media reporting effects on risk perceptions and attitudes towards genetically modified (GM) food. J. Soc. Econ. 2008, 37, 2095–2106. [Google Scholar] [CrossRef]
- Houghton, J.R.; Van Kleef, E.; Rowe, G.; Frewer, L.J. Consumer perceptions of the effectiveness of food risk management practices: A cross-cultural study. Health Risk Soc. 2006, 8, 165–183. [Google Scholar] [CrossRef]
- Milte, R.K.; Bradley, C.; Miller, M.D.; Farrer, O.; Crotty, M. How Widely are Supportive and Flexible Food Service Systems and Mealtime Interventions Used for People in Residential Care Facilities? A Comparison of Dementia-Specific and Nonspecific Facilities. Healthcare 2018, 6, 140. [Google Scholar] [CrossRef] [Green Version]
- Hohl, K.; Gaskell, G.D. European Public Perceptions of Food Risk: Cross-National and Methodological Comparisons. Risk Anal. 2008, 28, 311–324. [Google Scholar] [CrossRef] [Green Version]
- Siegrist, M.; Gutscher, H.; Earle, T.C. Perception of risk: The influence of general trust, and general confidence. J. Risk Res. 2005, 8, 145–156. [Google Scholar] [CrossRef]
- Zhang, A.; Mankad, A.; Ariyawardana, A. Establishing confidence in food safety: is traceability a solution in consumers’ eyes? J. Consumer Prot. Food Safety 2020, 15, 99–107. [Google Scholar] [CrossRef]
- De Jonge, J.; Van Trijp, J.; Van Der Lans, I.A.; Renes, R.; Frewer, L. How trust in institutions and organizations builds general consumer confidence in the safety of food: A decomposition of effects. Appetite 2008, 51, 311–317. [Google Scholar] [CrossRef]
- Han, G.; Yan, S. Does Food Safety Risk Perception Affect the Public’s Trust in Their Government? An Empirical Study on a National Survey in China. Int. J. Environ. Res. Public Health 2019, 16, 1874. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Slovic, P. Perceived Risk, Trust, and Democracy. Risk Anal. 1993, 13, 675–682. [Google Scholar] [CrossRef] [Green Version]
- Liu, Z.; Liu, P. The Antecedents of Restructuring of Regulatory Agencies: An Empirical Study of Prefecture-Level Food Regulation Departments in China. China Policy J. 2020, 2. [Google Scholar] [CrossRef]
- Xu, G.; Huo, L. From Administrative Domination to Administrative Leadership: The Evolution of Food Safety Collaborative Regulation in China. China Policy J. 2020, 2. [Google Scholar] [CrossRef]
- Ma, L.; Liu, P. Missing links between regulatory resources and risk concerns: Evidence from the case of food safety in China. Regul. Gov. 2017, 13, 35–50. [Google Scholar] [CrossRef]
- Slovic, P. The Perception of Risk; Routledge: London, UK, 2016; pp. 16–19. [Google Scholar]
- Van Kleef, E.; Frewer, L.J.; Chryssochoidis, G.; Houghton, J.R.; Korzen-Bohr, S.; Krystallis, T.; Lassen, J.; Pfenning, U.; Rowe, G. Perceptions of food risk management among key stakeholders: Results from a cross-European study. Appetite 2006, 47, 46–63. [Google Scholar] [CrossRef]
- Guo, Z.; Bai, L.; Gong, S. Government regulations and voluntary certifications in food safety in China: A review. Trends Food Sci. Technol. 2019, 90, 160–165. [Google Scholar] [CrossRef]
- Pettigrew, K.E.; Durrance, J.C.; Unruh, K.T. Facilitating community information seeking using the Internet: Findings from three public library-community network systems. J. Am. Soc. Inf. Sci. Technol. 2002, 53, 894–903. [Google Scholar] [CrossRef]
- An, Y. Evaluating the “Monitoring Space” in Food Safety Regulation: A Comparison Between China and the United Kingdom. China Policy J. 2020, 2. [Google Scholar] [CrossRef]
- Ha, T.M.; Shakur, S.; Pham-Do, K.H. Consumer concern about food safety in Hanoi, Vietnam. Food Control 2019, 98, 238–244. [Google Scholar] [CrossRef]
- Phillips, A.; Borry, P.; Shabani, M. Research ethics review for the use of anonymized samples and data: A systematic review of normative documents. Account. Res. 2017, 24, 483–496. [Google Scholar] [CrossRef] [PubMed]
- Carvalho, P.V.; Vidal, M.C.; De Carvalho, E.F. Nuclear power plant communications in normative and actual practice: A field study of control room operators’ communications. Hum. Factors Ergon. Manuf. Serv. Ind. 2006, 17, 43–78. [Google Scholar] [CrossRef]
- Rico, A.; Brock, T.C.; Daam, M.A. Is the Effect Assessment Approach for Fungicides as Laid Down in the European Food Safety Authority Aquatic Guidance Document Sufficiently Protective for Freshwater Ecosystems? Environ. Toxicol. Chem. 2019, 38, 2279–2293. [Google Scholar] [CrossRef] [Green Version]
- Liu, T.; Zhang, H.; Li, X.; Zhang, H. Individual factors influencing risk perceptions of hazardous chemicals in China. Environ. Res. 2020, 186, 109523. [Google Scholar] [CrossRef] [PubMed]
- Tiozzo, B.; Mari, S.; Ruzza, M.; Crovato, S.; Ravarotto, L. Consumers’ perceptions of food risks: A snapshot of the Italian Triveneto area. Appetite 2017, 111, 105–115. [Google Scholar] [CrossRef] [PubMed]
- Benthin, A.; Slovic, P.; Severson, H. A Psychometric study of adolescent risk perception. J. Adolesc. 1993, 16, 153–168. [Google Scholar] [CrossRef] [Green Version]
- Devaney, L. Good governance? Perceptions of accountability, transparency and effectiveness in Irish food risk governance. Food Policy 2016, 62, 1–10. [Google Scholar] [CrossRef]
- Liu, P. Tracing and periodizing China’s food safety regulation: A study on China’s food safety regime change. Regul. Gov. 2010, 4, 244–260. [Google Scholar] [CrossRef]
- Pfeffer, J.; Salancik, G.R. The External Control of Organizations: A Resource Dependence Perspective; Stanford University Press: California, CA, USA, 2003. [Google Scholar]
- Yasuda, J. Response to Henry Thomson’s Review of On Feeding the Masses: An Anatomy of Regulatory Failure in China. Perspect. Politics 2020, 18, 570. [Google Scholar] [CrossRef]
- Walsh, C.; Leva, M.C. A review of human factors and food safety in Ireland. Saf. Sci. 2019, 119, 399–411. [Google Scholar] [CrossRef]
- Visschers, V.H.M.; Siegrist, M. Differences in Risk Perception between Hazards and between Individuals. In Psychological Perspectives on Risk and Risk Analysis; Springer: Berlin, Germany, 2018; pp. 63–80. [Google Scholar]
- Dermience, M.; Mathieu, F.; Li, X.W.; Vandevijvere, S.; Claus, W.; De Maertelaer, V.; Dufourny, G.; Bin, L.; Yangzom, D.; Lognay, G.C. Minerals and Trace Elements Intakes and Food Consumption Patterns of Young Children Living in Rural Areas of Tibet Autonomous Region, P.R. China: A Cross-Sectional Survey. Healthcare 2017, 5, 12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Wang, H.; Ma, L. Media Coverage and Citizens’ Perceptions of Food Safety in Urban China. China Policy J. 2020, 2. [Google Scholar] [CrossRef]
- Landry, P.F.; Shen, M. Reaching migrants in survey research: the use of the global positioning system to reduce coverage bias in China. Polit. Anal. 2015, 13, 1–22. [Google Scholar] [CrossRef]
- Liu, A.-J.; Niyongira, R. Chinese consumers food purchasing behaviors and awareness of food safety. Food Control 2017, 79, 185–191. [Google Scholar] [CrossRef]
- Taillie, L.S. Who’s cooking? Trends in US home food preparation by gender, education, and race/ethnicity from 2003 to 2016. Nutr. J. 2018, 17, 41. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Lee, L.E.; Niode, O.; Simonne, A.H.; Bruhn, C. Consumer perceptions on food safety in Asian and Mexican restaurants. Food Control 2012, 26, 531–538. [Google Scholar] [CrossRef]
- Northrop, J.; Roseman, M.; Kurzynske, J. Do Food Safety Behaviors Differ among Married and Non-Married Individuals? J. Acad. Nutr. Diet. 2009, 109, A65. [Google Scholar] [CrossRef]
- Rothstein, H.; Irving, P.; Walden, T.; Yearsley, R. The risks of risk-based regulation: Insights from the environmental policy domain. Environ. Int. 2006, 32, 1056–1065. [Google Scholar] [CrossRef]
- Christensen, T.; Laegreid, P.; Rykkja, L.H.; Lægreid, P. Organizing for Crisis Management: Building Governance Capacity and Legitimacy. Public Adm. Rev. 2016, 76, 887–897. [Google Scholar] [CrossRef]
- Rafaty, R. Perceptions of corruption, political distrust, and the weakening of climate policy. Glob. Environ. Politics 2018, 18, 106–129. [Google Scholar] [CrossRef]
- Yee, W.-H.; Liu, P. Control, Coordination, and Capacity: Deficits in China’s Frontline Regulatory System for Food Safety. J. Contemp. China 2019, 29, 503–518. [Google Scholar] [CrossRef]
- Porumbescu, G.A. Using Transparency to Enhance Responsiveness and Trust in Local Government. State Local Gov. Rev. 2015, 47, 205–213. [Google Scholar] [CrossRef]
- Chen, Y.; Cheong, P. “Airpocalyse” and the China Smog Crisis: Examining Online and Offline Civic Engagement Motives, Attention and Actions. Int. J. Commun. 2019, 13, 22. [Google Scholar]
- The State Council of China, National Government Website Census. Available online: http://www.gov.cn/wzpc/2015/2015-08/07/content_2909856.htm (accessed on 15 June 2020).
- Bilal, M.; Yu, Z.; Song, S.; Wang, C. Evaluate Accessibility and Usability Issues of Particular China and Pakistan Government Websites. In Proceedings of the 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD), Guangzhou, China, 25 May2019. [Google Scholar]
- CNNIC, China Internet Network Information Center. 2015 Statistical Report on the Development of China’s Internet. Available online: http://www.cac.gov.cn/2016-01/22/c_1117858695.htm (accessed on 21 June 2020).
- Slovic, P.; Ball, D.J.; Ball, P.D.J. The Feeling of Risk: New Perspectives on Risk Perception. Energy Environ. 2011, 22, 835–836. [Google Scholar] [CrossRef] [Green Version]
- Turgeon, L.; Gagnon, A.G. Bureaucratic Language Regimes in Multilingual States: Comparing Belgium and Canada. In State Traditions and Language Regimes; McGill-Queen’s University Press: Quebec, Canada, 2015. [Google Scholar]
- Alford, R.R. The Political Language of the Nonprofit Sector. In Language, Symbolism, and Politics; Westview Press: San Francisco, CA, USA, 2019. [Google Scholar]
Province | Scores for Food Safety Perception | Province | Scores for Food Safety Perception |
---|---|---|---|
Anhui | 5.383 | Jilin | 5.5 |
Beijing | 5.176 | Jiangsu | 4.96 |
Fujian | 5.421 | Jiangxi | 5.552 |
Gansu | 6.222 | Liaoning | 5.162 |
Guangdong | 5.364 | Inner Mongolia | 4.655 |
Guangxi | 5.735 | Shandong | 5.923 |
Guizhou | 6.547 | Shanxi | 5.673 |
Hainan | 5.18 | Shaanxi | 4.94 |
Hebei | 4.196 | Shanghai | 4.875 |
Henan | 5.144 | Sichuan | 5.585 |
Heilongjiang | 5.648 | Yunnan | 6.888 |
Hubei | 5.598 | Zhejiang | 5.071 |
Hunan | 5.568 | Chongqing | 5.421 |
Variance | 0.314 | SD. | 0.549 |
Variable | Definition | Frequency | Percentage (%) |
---|---|---|---|
Gender | Female = 0 | 1660 | 49.64 |
Male = 1 | 1686 | 50.36 | |
Age group | 18–29 years = 1 | 610 | 18.40 |
30–39 years = 2 | 507 | 15.16 | |
40–49 years = 3 | 711 | 21.17 | |
50–59 years = 4 | 655 | 19.54 | |
60 years and above = 5 | 863 | 25.73 | |
Marriage | Unmarried, widowed, separated or divorced = 0 | 564 | 17.00 |
Married or cohabiting = 1 | 2782 | 83.00 | |
Child | No | 1939 | 57.90 |
Yes | 1407 | 42.10 | |
Education level | Primary school and below = 1 | 1303 | 38.89 |
Secondary middle school = 2 | 1059 | 31.65 | |
Senior high school = 3 | 566 | 16.92 | |
College and above = 4 | 418 | 12.54 | |
Household registration (Hukou) | Rural household registration = 1 | 2480 | 74.10 |
Urban household registration = 2 | 866 | 25.90 |
Variables | Min | Max | Average | Standard Deviation |
---|---|---|---|---|
Normative documents (docs) | 1 | 32 | 9.35 | 7.29 |
Sampling test (tests) | 1152 | 32,594 | 8885.12 | 6749.98 |
Fiscal expenditure on food safety (per capita) | 137 | 7309 | 1494.38 | 2670.92 |
Perception of food safety status quo | 4.32 | 6.65 | 5.41 | 0.54 |
Variables | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 |
---|---|---|---|---|---|---|
Normative documents | −0.003 | −0.016 | ||||
(0.007) | (0.009) | |||||
Sample inspection | 0.183 * | 0.222 * | ||||
(0.088) | (0.085) | |||||
Fiscal expenditure (per capita) | 0.175 | 0.126 | ||||
(0.158) | (0.146) | |||||
Gender | 0.312 *** | 0.312 *** | 0.312 *** | 0.31 *** | 0.312 *** | |
(0.078) | (0.077) | (0.077) | (0.077) | (0.076) | ||
Age | 0.261 *** | 0.21 *** | 0.26 *** | 0.261 *** | 0.26 *** | |
(0.044) | (0.044) | (0.044) | (0.044) | (0.044) | ||
Marital status | −0.26 | −0.264 | −0.24 | −0.259 | −0.259 | |
(0.150) | (0.151) | (0.141) | (0.149) | (0.145) | ||
Number of children | −0.027 | −0.026 | −0.028 | −0.028 | −0.027 | |
(0.036) | (0.037) | (0.037) | (0.036) | (0.037) | ||
Education level | −0.452 *** | −0.451 *** | −0.452 *** | 0.452 *** | −0.45 *** | |
(0.04) | (0.040) | (0.041) | (0.041) | (0.04) | ||
Hukou | −0.673 *** | −0.675 *** | −0.651 *** | −0.68 *** | −0.656 *** | |
(0.146) | (0.144) | (0.146) | (0.146) | (0.146) | ||
Intercept of fixed effects | 5.45 *** | 6.751 *** | 6.712 *** | 5.053 *** | 6.763 *** | 4.898 *** |
(0.101) | (0.295) | (0.284) | (0.794) | (0.29) | (0.776) | |
Level-II variance component | 0.206 | 1.182 | 1.204 | 1.144 | 1.205 | 1.246 * |
Level-I variance component | 6.111 | 5.393 | 5.393 | 5.389 | 5.392 | 5.389 |
Level 1 Units | 3358 | 3358 | 3358 | 3358 | 3358 | 3358 |
Level 2 Units | 26 | 26 | 26 | 26 | 26 | 26 |
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Han, G.; Yan, S.; Fan, B. Regional Regulations and Public Safety Perceptions of Quality-of-Life Issues: Empirical Study on Food Safety in China. Healthcare 2020, 8, 275. https://doi.org/10.3390/healthcare8030275
Han G, Yan S, Fan B. Regional Regulations and Public Safety Perceptions of Quality-of-Life Issues: Empirical Study on Food Safety in China. Healthcare. 2020; 8(3):275. https://doi.org/10.3390/healthcare8030275
Chicago/Turabian StyleHan, Guanghua, Simin Yan, and Bo Fan. 2020. "Regional Regulations and Public Safety Perceptions of Quality-of-Life Issues: Empirical Study on Food Safety in China" Healthcare 8, no. 3: 275. https://doi.org/10.3390/healthcare8030275
APA StyleHan, G., Yan, S., & Fan, B. (2020). Regional Regulations and Public Safety Perceptions of Quality-of-Life Issues: Empirical Study on Food Safety in China. Healthcare, 8(3), 275. https://doi.org/10.3390/healthcare8030275