| Literature DB >> 26418161 |
Fei Han1, Dingyang Zhou2, Xiaoxia Liu1, Jie Cheng3, Qingwen Zhang4, Anthony M Shelton5.
Abstract
Transgenic Bt cotton has been planted in China since 1997 and, in 2009, biosafety certificates for the commercial production of Bt rice and phytase corn were issued by the Chinese government. The public attitude in China toward agricultural biotechnology and genetically modified (GM) crops and foods has received considerable attention worldwide. We investigated the attitudes of consumers, Bt cotton farmers and scientists in China regarding GM crops and foods and the factors influencing their attitudes. Data were collected using interview surveys of consumer households, farmer households and scientists. A discrete choice approach was used to elicit the purchase intentions of the respondents. Two separate probit models were developed to examine the effect of various factors on the choices of the respondents. Bt cotton farmers had a very positive attitude because Bt cotton provided them with significant economic benefits. Chinese consumers from developed regions had a higher acceptance and willingness to pay for GM foods than consumers in other regions. The positive attitude toward GM foods by the scientific community will help to promote biotechnology in China in the future. Our survey emphasized that educational efforts made by government officials, the media and scientists can facilitate the acceptance of GM technology in China. Further educational efforts will be critical for influencing consumer attitudes and decisions of government agencies in the future. More effective educational efforts by government agencies and public media concerning the scientific facts and safety of GM foods would enhance the acceptance of GM crops in China.Entities:
Mesh:
Year: 2015 PMID: 26418161 PMCID: PMC4587862 DOI: 10.1371/journal.pone.0139114
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1The attitudes of Chinese consumers about GM foods (2007–2008, 2010).
There were 1,416 and 1,759 respondents in 2007–2008 and 2010, respectively. (A) Attitude of consumers whether GM foods should be sold, (B) Percentage of consumers who believed they had purchased GM foods.
Attitudes, knowledge and sources of information for Chinese consumers on GM foods (2007–2008, 2010).
| Interviewees' response | Year (total number of interviewees) | Percentage responding to each category | ||||||
|---|---|---|---|---|---|---|---|---|
| 1. Awareness of GM foods | ||||||||
| Very familiar | Understand a little | Know the basics | No knowledge | |||||
| 2007–2008, (1,416) | 5.30% | 46.60% | 28.30% | 19.80% | ||||
| 2010, (1,759) | 6.30% | 35.50% | 52.20% | 6.00% | ||||
| 2. Main ways of learning about GM foods | ||||||||
| TV/radio | Print media | Internet | Introduction by family or friends | Street or store promotion | Work or study | Other | ||
| 2007–2008, (1,416) | 50.00% | 26.30% | 15.80% | 15.60% | 6.00% | 15.20% | 7.70% | |
| 2010, (1,759) | 51.10% | 27.70% | 22.10% | 17.60% | 6.50% | 28.50% | 1.90% | |
| 3. Considered to provide credible and fair information about GM foods | ||||||||
| TV/radio | Print media | Internet | Introduction by family or friends | Street or store promotion | Work or study | Other | ||
| 2010, (1,759) | 52.00% | 24.50% | 8.00% | 7.10% | 2.20% | 29.20% | 2.70% | |
| 4. Weight on environmental or economic factor | ||||||||
| 1 | 2 | 3 | 4 | 5 | ||||
| 2010, (1,759) | 56.30% | 17.00% | 21.90% | 2.30% | 2.50% | |||
1 This variable was a multiple-choice test question.
2 When consumers were asked about the importance of different factors in agriculture, a value of 1 indicated that protection of the environment was important whereas a value of 5 indicated that economic development was more important.
Acceptance of Chinese consumers for different GM foods (2010).
| Interviewees' response | Percentage responding to each category | |||||
|---|---|---|---|---|---|---|
| Fully accepted | Accepted | Neutral | Opposed | Strongly opposed | Do not know | |
| Non-edible products of GM crops | 32.3% | 41.6% | 19.2% | 3.9% | 1.3% | 1.7% |
| Edible products of GM crops | 8.5% | 34.7% | 32.9% | 17.1% | 5.1% | 1.7% |
| Transgenic animal products | 4.4% | 18.8% | 34.8% | 28.4% | 10.2% | 3.4% |
| Transgenic fish | 4.7% | 17.7% | 33.9% | 27.9% | 11.8% | 4.0% |
| GM-Bt rice | 12.4% | 38.2% | 28.4% | 14.4% | 3.9% | 2.7% |
| Fully Willing | Willing | Neutral | Unwilling | Strongly unwilling | Do not know | |
| Willingness to pay for GM-Bt rice | 8.1% | 33.9% | 29.4% | 22.7% | 5.9% | 0 |
Fig 2The attitudes of Chinese consumers about providers of information about GM crops and food (2010).
There were 1,759 respondents.
Attitudes of Chinese farmers about GM foods (2007–2008).
| Interviewee response | Percentage responding to each category | |||
|---|---|---|---|---|
| 1. Willingness to plant Bt cotton | ||||
| Long-term cultivation | Short-term cultivation | Continue not to grow | Undecided | |
| 83.80% | 13.00% | 0.80% | 2.40% | |
| 2. Attitude about distributing GM plants in China in the future | ||||
| Support | Support if helpful to make money | Do not support | Undecided | |
| 60.70% | 26.60% | 1.20% | 11.50% | |
| 3. Main method of learning about Bt cotton technology | ||||
| Neighbors | TV | Print media | Local agricultural extension workers | |
| 26.10% | 12.70% | 4.30% | 56.90% | |
Fig 3The attitudes of Chinese scientists about GM foods and large-scale production of GM crops (2007–2008).
There were 254 respondents.
Analysis of factors influencing consumers’ willingness to purchase GM foods from 2007 to 2008 and 2010.
Two binary probit models were used to estimate the model coefficients. Source: Authors’ survey.
| Probit model in 2007 to 2008 | Probit model in 2010 | ||||||
|---|---|---|---|---|---|---|---|
| Independent variables | Mean | Coefficient | z-Statistic | Independent variables | Mean | Coefficient | z-Statistic |
| Awareness | 2.81±0.81 | 0.4071*** | 8.5054 | Awareness | 2.42±0.70 | 0.3953*** | 8.4790 |
| Attitudes | 2.58±1.12 | 0.3067*** | 4.0857 | Attitudes | 0.33±0.47 | 0.2181*** | 3.3051 |
| Ln (Income) | 0.83±0.56 | 0.2874*** | 3.6393 | Ln(Income) | 8.46±0.65 | 0.0897* | 1.7887 |
| Gender | 0.51±0.5 | -0.1467* | -1.9334 | Gender | 0.51±0.50 | -0.1377** | -2.2080 |
| Age | 34.66±12.87 | -0.0012 | -0.3718 | Age | 33.42±13.21 | 0.0045* | 1.8936 |
| Eastern Region | 0.59±0.49 | 0.3784*** | 3.7773 | Eastern Region | 0.30±0.46 | 0.2286*** | 2.7569 |
| Central Region | 0.14±0.35 | 0.3102** | 2.3233 | Central Region | 0.27±0.44 | 0.2823*** | 3.2747 |
| Northeast | 0.15±0.36 | 0.6164*** | 3.4249 | Northeast | 0.16±0.37 | 0.6319*** | 6.5096 |
| Intercept | -1.8639*** | -9.8330 | Intercept | -2.2946*** | -5.1945 | ||
| Log likelihood = —771.5402 McFadden R-squared = 0.0807 | Log likelihood = -1128.741 McFadden R-squared = 0.0584 | ||||||
Values are the means ± SD. The symbols *, ** and *** denote significance at P = 10%, 5% and 1% level, respectively.
Analysis of factors influencing farmers’ long-term willingness to plant Bt cotton from 2007 to 2008.
A binary probit model was used to estimate the model coefficients. Source: Authors’ survey.
| Independent variables | Mean | Coefficient | z-Statistic |
|---|---|---|---|
| Cultivating area (ha) | 2.05±2.82 | 0.5330*** | 4.5935 |
| Age | 42.86±8.89 | 0.0147* | 1.8336 |
| Fields proportion (%) | 67.98±31.62 | 0.0016 | 0.4897 |
| Agri-income proportion (%) | 2.25±0.78 | -0.2720*** | -2.8444 |
| Years of cultivation | 2.78±0.70 | -0.5131*** | -4.6237 |
| Gender | 0.86±0.35 | -0.7007 *** | -3.1013 |
| Education level | 3.12±0.71 | -0.0058 | -0.0555 |
| Family-income change (RMB) | 4623.83±5289.72 | 0.0001 *** | 3.4514 |
| Pesticide change (kg/ha) | -21.58±31.56 | -0.0028 | -0.9397 |
| Production change (kg/ha) | 804.84±686.85 | 0.0004** | 2.9993 |
| Artificial-input change | -140.66±140.05 | 0.0003 | 0.4617 |
| Yellow-River Basin | 0.50±0.50 | 0.9676 *** | 3.0508 |
| Yangtze-River Basin | 0.11±0.31 | 1.0735** | 2.3175 |
| Intercept | 1.1939 | 1.4084 | |
| Log likelihood = -203.2356 McFadden R-squared = 0.3808 | |||
Values are the means ± SD. The symbols *, ** and *** denote significance at P = 10%, 5% and 1% level, respectively.
Distribution of samples and sampling methods in the survey of opinions regarding GM plants and foods in China.
Data are from the study survey.
| Interviewees | Sampled regions | Number of samples | Core content | |
|---|---|---|---|---|
|
| ||||
| Farmers planting Bt cotton in China | The Yellow River Basin, The Yangtze River Basin, Xinjiang | The Yellow River Basin: 371 (50.2%); The Yangtze River Basin: 78 (10.6%); Xinjiang: 290 (39.2%) | Indicator of the farmer’s willingness to cultivate GM plants for the long-term. | |
| Consumers who may purchase GM foods in China | Coverage of 25 provinces or municipalities in China | Eastern Region: 840; Western Region: 169; Central Region:197; The Northeast: 210 | Willingness to buy GM food. | |
| China's scientific community | Academicians | 254: Division of Mathematics and Physics, Chemistry, Life Sciences and Medical Sciences, Earth Sciences, Information Technology Sciences, Technological Sciences, Mechanical and Vehicle Engineering, Information and Electronic Engineering, Chemical, Metallurgical and Materials Engineering, Energy and Mining Engineering, Civil, Hydraulic and Architecture Engineering, Environment & Light and Textile Industries Engineering, Agriculture, Medical and Health, Engineering Management | Attitude on distributing GM crops and GM foods sold in the future in China. | |
|
| ||||
| Consumers who may purchase GM foods in China | Coverage of 18 provinces or municipalities in China | Eastern Region: 528; Central Region:471; Western Region: 471; The Northeast: 289 | Willingness to buy GM food. | |
1 The Yellow River Basin, Yangtze River Basin and the Xinjiang region are the three largest cotton-producing areas in China. Farmers began planting Bt cotton in 1997–1998 in the Yellow River and Yangtze River Basins and approximately 5 years later in Xinjiang.
2 The Chinese Academy of Sciences and Chinese Academy of Engineering consisted of 719 and 699 members in 2008, and 745 and 804 in 2014, respectively. The members represent the highest level of scientific and engineering technology research in China.
3 These 18 provinces were included in the first sample of 25 provinces in 2007–2008. These provinces are typical representatives of the four administrative regions. The sampling locations in these 18 provinces were similar to the 2007–2008 sample, and the respondents in these areas increased in 2007–2008.