Food Safety Incident, Public Health Concern, and Risk Spillover Heterogeneity: Avian Influenza Shocks as Natural Experiments in China’s Consumer Markets
Abstract
:1. Introduction
- Q1:Theoretically, how could the causal pathways be interpreted in terms of information communication?
- Q2:Empirically, how does food price risk spill over in a setting with heterogeneous food safety risk levels?
2. Literature Review and Hypotheses
2.1. Related Literature
2.2. Conceptual Framework of Decomposition
2.3. Theoretical Framework of Causality
2.4. Theoretical Hypotheses
- H1:Food safety incident has negative local and spatial spillovers to food price risk, which is heterogeneous in low- and high-risk food.
- H2:Public health concern over food safety has nonlinear local and spatial spillovers to food price risk, which is heterogeneous in low- and high-risk food: (i) on average, public health concern over food safety has negative local and spatial spillovers to food price risk, which is heterogeneous in low- and high-risk food; and (ii) in general, public health concern over food safety has inverse U-shaped local and spatial spillovers to food price risk, which is heterogeneous in low- and high-risk food.
- H3:Food safety incident negatively moderates the negative local and spatial spillovers of public health concern over food safety to food price risk, which is heterogeneous in low- and high-risk food and incidents.
- H4:Public health concern over food safety mediates the negative local and spatial spillovers of food safety incident to food price risk, which is heterogeneous in low- and high-risk food and incidents.
3. Materials and Methods
3.1. Research Design: Avian Influenza Shocks as Natural Experiments
3.2. Data
3.3. Variables
3.3.1. Dependent Variables: Food Price Risk
3.3.2. Key Independent Variables: Food Safety Incident and Public Health Concern
3.3.3. Control Variables
3.3.4. Spatial Weighting Matrices: Interregional Horizontal Price Transmission
3.4. Research Methods
3.4.1. Empirical Strategy
3.4.2. Specifications of Heterogeneous Food Price Risk Nonlinearity: Hypotheses H1–H2
3.4.3. Specifications of heterogeneous food price risk moderation: hypothesis H3
3.4.4. Specifications of Heterogeneous Food Price Risk Mediation: Hypothesis H4
4. Results
4.1. Summary Statistics
4.2. Benchmark Analysis of Heterogeneous Food Price Risk Nonlinearity: Hypotheses H1–H2
4.3. Further Analysis of Heterogeneous Food Price Risk Mechanism: Hypotheses H3–H4
4.3.1. Further Analysis of Heterogeneous Food Price Risk Moderation: Hypothesis H3
4.3.2. Further Analysis of Heterogeneous Food Price Risk Mediation: Hypothesis H4
5. Discussion
5.1. Discussion on Heterogeneous Food Price Risk Nonlinearity: Hypotheses H1–H2
5.2. Discussion on Heterogeneous Food Price Risk Mechanism: Theoretical H3–H4
5.2.1. Discussion on Heterogeneous Food Price Risk Moderation: Hypothesis H3
5.2.2. Discussion on Heterogeneous Food Price Risk Mediation: Hypothesis H4
6. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Subsection | Summary |
---|---|
Research Background | Food safety incident arouses public health concern, causing food price risk |
Research Motivations | To understand how food safety risk affects food price risk |
Research Questions | (i) Causal effects with information communication; (ii) heterogeneous food price risk spillover |
Research Methods | (i) Variable decomposition and theoretical framework; (ii) avian influenza shocks as natural experiments |
Research Significance | Filling the knowledge gaps on theory and evidence |
Defining Terms | Defining certain key terms |
Research Objectives | Stating the purpose of research |
Article Structure | Providing an overview of the article structure |
Category | Concept | Variable Name | Measurement | Indicator | Source |
---|---|---|---|---|---|
Dependent variable | Food price risk | lnlrfp | Low–risk food price risk | Log dressed broiler price | CAAA |
(Food price risk spillover) | lnhrfp | High–risk food price risk | Log live broiler price | CAAA | |
Key independent variable | Food safety incident | lrid | Low–risk food safety incident | Poultry infection with avian influenza incident dummy | Official Veterinary Bulletin |
(Food safety risk) | hrid | High–risk food safety incident | Human infection with avian influenza incident dummy | Disease Surveillance | |
lnlric | Low–risk food safety case (robustness) | Log poultry infection with avian influenza case | Official Veterinary Bulletin | ||
lnhric | High–risk food safety case (robustness) | Log human infection with avian influenza case | Disease Surveillance | ||
Public health concern | lnphcb | Public health concern by Baidu | Log Baidu search volume on avian influenza | Baidu Search | |
lnphcb2 | Squared public health concern by Baidu | Squared log Baidu search volume on avian influenza | Baidu Search | ||
lnphcg | Public health concern by Google (robustness) | Log Google search volume on avian influenza | Google Search | ||
lnphcg2 | Squared public health concern by Google (robustness) | Squared log Google search volume on avian influenza | Google Search | ||
Price control variable | lnfp | Feed price | Log broiler feed price | CAAA | |
(Industrial vertical price transmission) | lncp | Chick price | Log broiler chick price | CAAA | |
lnhrfp | Live broiler price (robustness) | Log live broiler price | CAAA | ||
lnlrfp | Dressed broiler price (robustness) | Log dressed broiler price | CAAA | ||
lnpp | Pork price | Log pork price | CAAA | ||
Supply and demand control variable | lno | Aggregate poultry output | Log aggregate poultry output | EPS China Data | |
(Market supply and demand) | lnu | Urban poultry consumption | Log urban poultry consumption | EPS China Data | |
lnr | Rural poultry consumption | Log rural poultry consumption | EPS China Data | ||
Spatial weighting matrix | Ws | Squared idistance matrix | Squared inverse-distance spatial weighting matrix | GADM data | |
(Interregional horizontal price transmission) | We | Exponential idistance matrix (robustness) | Exponential inverse-distance spatial weighting matrix | GADM data |
VarName | Obs | Mean | SD | Min | P25 | Median | P75 | Max | Skewness | Kurtosis |
---|---|---|---|---|---|---|---|---|---|---|
lnlrfp | 3630 | 0.0000 | 0.9960 | −5.0843 | −0.7234 | 0.0618 | 0.7480 | 3.4881 | −0.2304 | 3.0000 |
lnhrfp | 3630 | 0.0000 | 0.9960 | −4.9214 | −0.6609 | 0.1223 | 0.7346 | 5.0134 | −0.4542 | 3.9352 |
lrid | 3630 | 0.0146 | 0.1200 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 1.0000 | 8.0935 | 66.5054 |
hrid | 3630 | 0.0752 | 0.2638 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 1.0000 | 3.2215 | 11.3780 |
lnlric | 3630 | −11.2445 | 2.2159 | −11.5129 | −11.5129 | −11.5129 | −11.5129 | 7.6728 | 8.1912 | 68.4502 |
lnhric | 3630 | −10.5739 | 3.3019 | −11.5129 | −11.5129 | −11.5129 | −11.5129 | 2.3026 | 3.2515 | 11.6488 |
lnphcb | 3630 | 0.0000 | 0.9960 | −6.3867 | −0.3994 | −0.0225 | 0.3263 | 4.3000 | −0.3670 | 9.5866 |
lnphcb2 | 3630 | 0.9917 | 2.9065 | 0.0000 | 0.0359 | 0.1282 | 0.3453 | 40.7897 | 5.8380 | 51.1054 |
lnphcg | 3630 | 0.0000 | 0.9960 | −2.4759 | −0.7836 | −0.1782 | 0.7888 | 3.0215 | 0.2770 | 2.3000 |
lnphcg2 | 3630 | 0.9917 | 1.1309 | 0.0000 | 0.1977 | 0.6172 | 1.3560 | 9.1292 | 2.0964 | 8.8429 |
lnfp | 3630 | 0.0000 | 0.9960 | −2.9780 | −0.6490 | 0.1504 | 0.7813 | 3.5090 | −0.4305 | 2.4208 |
lncp | 3630 | 0.0000 | 0.9960 | −3.2307 | −0.7185 | 0.0805 | 0.7172 | 3.3564 | −0.1455 | 2.6085 |
lnpp | 3630 | 0.0000 | 0.9960 | −2.6673 | −0.6637 | 0.0067 | 0.7602 | 2.3435 | −0.2028 | 2.6035 |
lno | 3630 | 0.0000 | 0.9960 | −3.8941 | −0.8146 | 0.2220 | 0.8382 | 3.4258 | −0.4913 | 2.4515 |
lnu | 3630 | 0.0000 | 0.9960 | −4.9970 | −0.8544 | 0.2819 | 0.7217 | 2.7168 | −0.9854 | 4.3730 |
lnr | 3630 | 0.0000 | 0.9960 | −3.2582 | −0.8385 | −0.0496 | 0.8958 | 1.8784 | 0.0948 | 1.8955 |
Variable | (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) |
---|---|---|---|---|---|---|---|---|
L_dynSDM_1 | L_dynSDM_2 | L_dynSAR_1 | L_dynSAR_2 | H_dynSDM_1 | H_dynSDM_2 | H_dynSAR_1 | H_dynSAR_2 | |
lrid (β1) | 0.0093 | 0.0108 | 0.0108 | 0.0177 | −0.1110 * | −0.1146 * | −0.1088 * | −0.1045 * |
hrid (β2) | −0.0228 | −0.0194 | −0.0334 | −0.0254 | −0.0951 ** | −0.0948 ** | −0.1044 ** | −0.0999 ** |
lnphcb (β3) | −0.0236 *** | −0.0259 *** | −0.0337 *** | −0.0380 *** | −0.0177 * | −0.0156 | −0.0266 *** | −0.0293 *** |
lnphcb2 (β4) | −0.0057** | −0.0081 *** | −0.0018 | −0.0049 ** | ||||
Wy (ρ) | 0.4913 *** | 0.4809 *** | 0.5019 *** | 0.4931 *** | 0.4693 *** | 0.4583 *** | 0.4790 *** | 0.4739 *** |
SR_Direct_lrid | −0.0069 | −0.0034 | 0.0114 | 0.0197 | −0.1220 * | −0.1226 ** | −0.1158 * | −0.1104 * |
SR_Direct_hrid | −0.0240 | −0.0177 | −0.0350 | −0.0253 | −0.1026 ** | −0.0983 ** | −0.1111 ** | −0.1044 ** |
SR_Direct_lnphcb | −0.0279 *** | −0.0296 *** | −0.0349 *** | −0.0393 *** | −0.0205 ** | −0.0180 | −0.0270 *** | −0.0297 *** |
SR_Direct_lnphcb2 | −0.0069 *** | −0.0085 *** | −0.0030 | −0.0050 ** | ||||
SR_Indirect_lrid | −0.2843 | −0.2694 | 0.0116 | 0.0181 | −0.1672 | −0.1313 | −0.0986 * | −0.0929 |
SR_Indirect_hrid | −0.0323 | 0.0028 | −0.0314 | −0.0215 | −0.1217 | −0.0822 | −0.0974 * | −0.0898 * |
SR_Indirect_lnphcb | −0.0868 *** | −0.0801 *** | −0.0321 *** | −0.0347 *** | −0.0706 *** | −0.0696 *** | −0.0227 *** | −0.0243 *** |
SR_Indirect_lnphcb2 | −0.0223 *** | −0.0076 *** | −0.0246 *** | −0.0040 ** | ||||
LR_Direct_lrid | 0.0361 | 0.0541 | 0.0577 | 0.0989 | −2.0319 | −1.2032 | −1.8116 | −1.5079 |
LR_Direct_hrid | −0.1200 | −0.0948 | −0.1776 | −0.1273 | −1.5385 | −1.0353 | −1.7073 | −1.3615 |
LR_Direct_lnphcb | −0.1269 *** | −0.1365 *** | −0.1768 *** | −0.1978 *** | −0.1787 | −0.1394 | −0.4184 | −0.3589 |
LR_Direct_lnphcb2 | −0.0307 ** | −0.0430 *** | 0.0024 | −0.0661 | ||||
LR_Indirect_lrid | −0.9297 | −0.8769 | 0.0230 | 0.0228 | 0.7158 | 0.0348 | 0.8705 | 0.6167 |
LR_Indirect_hrid | −0.0540 | 0.0539 | −0.0237 | −0.0101 | 0.4889 | 0.2091 | 0.7307 | 0.4989 |
LR_Indirect_lnphcb | −0.2346 * | −0.2030 * | −0.0316 | −0.0302 | −0.2137 | −0.2340 | 0.2098 | 0.1497 |
LR_Indirect_lnphcb2 | −0.0590 ** | −0.0067 | −0.1204 | 0.0306 | ||||
BIC | 3260.1037 | 3290.8175 | 3245.2175 | 3270.1863 | 3138.4065 | 3171.9346 | 3119.6369 | 3154.9565 |
turning_lnphcb | −2.3420 | −2.9651 |
Variable | (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) |
---|---|---|---|---|---|---|---|---|
L_dynSAR_1 | L_dynSAR_2 | L_dynSAR_3 | L_dynSAR_4 | H_dynSAR_1 | H_dynSAR_2 | H_dynSAR_3 | H_dynSAR_4 | |
lnphcb (β1) | −0.0348 *** | −0.0342 *** | −0.0336 *** | −0.0251 *** | −0.0301 *** | −0.0292 *** | −0.0278 *** | −0.0190 ** |
lrid (β2) | 0.0092 | 0.0654 | −0.1140 * | −0.0319 | ||||
lrid*lnphcb (β3) | −0.0616 | −0.0899 | ||||||
hrid (β4) | −0.0332 | 0.0648 * | −0.1059 ** | −0.0017 | ||||
hrid*lnphcb (β5) | −0.1056 *** | −0.1122 *** | ||||||
Wy (ρ) | 0.5027 *** | 0.5030 *** | 0.5018 *** | 0.4990 *** | 0.4849 *** | 0.4857 *** | 0.4793 *** | 0.4747 *** |
SR_Direct_lrid*lnphcb | −0.0635 | −0.0933 | ||||||
SR_Direct_hrid*lnphcb | −0.1117 *** | −0.1187 *** | ||||||
SR_Indirect_lrid*lnphcb | −0.0607 | −0.0808 | ||||||
SR_Indirect_hrid*lnphcb | −0.1011 *** | −0.0990 *** | ||||||
LR_Direct_lrid*lnphcb | −0.3208 | −1.7027 | ||||||
LR_Direct_hrid*lnphcb | −0.5676 *** | −0.6126 | ||||||
LR_Indirect_lrid*lnphcb | −0.0773 | 0.9411 | ||||||
LR_Indirect_hrid*lnphcb | −0.0946 | −0.3591 |
Variable | (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | (11) | (12) |
---|---|---|---|---|---|---|---|---|---|---|---|---|
lnlrfp_L | lnphcb_L | lnlrfp_L | lnlrfp_H | lnphcb_H | lnlrfp_H | lnhrfp_L | lnphcb_L | lnhrfp_L | lnhrfp_H | lnphcb_H | lnhrfp_H | |
lrid (β1) | −0.0097 | 0.5345 *** | 0.0092 | −0.1304 ** | 0.5383 *** | −0.1140 * | ||||||
hrid (β2) | −0.0473 | 0.2655 *** | −0.0332 | −0.1173 ** | 0.2713 *** | −0.1059 ** | ||||||
lnphcb (β3) | −0.0348 *** | −0.0336 *** | −0.0301 *** | −0.0278 *** | ||||||||
Wy (ρ) | 0.5151 *** | 0.4723 *** | 0.5027 *** | 0.5134 *** | 0.4652 *** | 0.5018 *** | 0.4946 *** | 0.4716 *** | 0.4849 *** | 0.4876 *** | 0.4644 *** | 0.4793 *** |
SR_Direct_lrid | −0.0050 | 0.5758 *** | 0.0097 | −0.1306 ** | 0.5795 *** | −0.1215 * | ||||||
SR_Direct_hrid | −0.0469 | 0.2844 *** | −0.0353 | −0.1191 ** | 0.2905 *** | −0.1131 ** | ||||||
SR_Direct_lnphcb | −0.0361 *** | −0.0347 *** | −0.0308 *** | −0.0283 *** | ||||||||
SR_Indirect_lrid | −0.0041 | 0.4703 *** | 0.0100 | −0.1186 * | 0.4731 *** | −0.1059 | ||||||
SR_Indirect_hrid | −0.0441 | 0.2276 *** | −0.0312 | −0.1075 ** | 0.2322 *** | −0.0985 ** | ||||||
SR_Indirect_lnphcb | −0.0331 *** | −0.0317 *** | −0.0267 *** | −0.0238 *** | ||||||||
LR_Direct_lrid | −0.0251 | 0.7182 *** | 0.0491 | −1.7689 | 0.7196 *** | −0.9735 | ||||||
LR_Direct_hrid | −0.2379 | 0.3511 *** | −0.1788 | −1.6648 | 0.3568 *** | −1.0412 | ||||||
LR_Direct_lnphcb | −0.1826 *** | −0.1762 *** | −0.3998 | −0.3014 | ||||||||
LR_Indirect_lrid | 0.0035 | 1.0511 *** | 0.0184 | −0.7855 | 1.0281 *** | 0.0892 | ||||||
LR_Indirect_hrid | −0.0356 | 0.4871 *** | −0.0188 | 0.6168 | 0.4818 *** | 0.1334 | ||||||
LR_Indirect_lnphcb | −0.0299 | −0.0297 | 0.1676 | 0.0861 | ||||||||
ME | −0.0162 | −0.0075 | ||||||||||
MR | 0.1245 | 0.0644 |
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Yi, L.; Tao, J.; Zhu, Z.; Tan, C.; Qi, L. Food Safety Incident, Public Health Concern, and Risk Spillover Heterogeneity: Avian Influenza Shocks as Natural Experiments in China’s Consumer Markets. Int. J. Environ. Res. Public Health 2019, 16, 4182. https://doi.org/10.3390/ijerph16214182
Yi L, Tao J, Zhu Z, Tan C, Qi L. Food Safety Incident, Public Health Concern, and Risk Spillover Heterogeneity: Avian Influenza Shocks as Natural Experiments in China’s Consumer Markets. International Journal of Environmental Research and Public Health. 2019; 16(21):4182. https://doi.org/10.3390/ijerph16214182
Chicago/Turabian StyleYi, Lan, Jianping Tao, Zhongkun Zhu, Caifeng Tan, and Le Qi. 2019. "Food Safety Incident, Public Health Concern, and Risk Spillover Heterogeneity: Avian Influenza Shocks as Natural Experiments in China’s Consumer Markets" International Journal of Environmental Research and Public Health 16, no. 21: 4182. https://doi.org/10.3390/ijerph16214182
APA StyleYi, L., Tao, J., Zhu, Z., Tan, C., & Qi, L. (2019). Food Safety Incident, Public Health Concern, and Risk Spillover Heterogeneity: Avian Influenza Shocks as Natural Experiments in China’s Consumer Markets. International Journal of Environmental Research and Public Health, 16(21), 4182. https://doi.org/10.3390/ijerph16214182