Submitted:
07 June 2023
Posted:
07 June 2023
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Literature Review and Theoretical Framework
2.1. Literature review
2.1.1. Connotation and dimension of high-quality production of grain
2.1.2. Relationship between agricultural production trusteeship and high-quality production of grain
2.1.3. Shortcomings of existing literatures and the main contributions of this paper
2.2. Theoretical framework
2.2.1. Contributing to the high efficiency of grain production
2.2.2. Contributing to the premiumization of grain production
2.2.3. Contributing to the greenization of grain production
2.2.4. Contributing to the branding of grain production

3. Data Sources, Research Methods and Variable Selection
3.1. Data sources
3.2. Research methodology
3.3. Variable selection and descriptive statistics
3.3.1. Explained variable
3.3.2. Core explanatory variable
3.3.3. Control variables
4. Empirical Results and Analysis
4.1. Estimation of the decision-making model of the farm households to choose agricultural production trusteeship
4.2. Common support domain and balance test
4.2.1. Common support domain
4.2.2. Balance test
4.3. Overall promotion effect of agricultural production trusteeship on high-quality production of grain
4.4. Heterogeneity analysis of agricultural production trusteeship in promoting high-quality production of grain
4.4.1. Heterogeneity of different trusteeship services in promoting high-quality grain production
4.4.2. Heterogeneity of promotion effects for farm households with different factor endowments
5. Conclusions and Insights
- Agricultural production trusteeship can promote high-quality production of grain through promoting high efficiency, premiumization, greenization and branding of grain production, with promotion of premiumization the most effective, followed by that of high efficiency, greenization and branding.
- The promotion effects of different trusteeship services on high-quality production of grain differ, with agricultural material supply services being the most effective, followed by post-production services, and then production management and ploughing, seeding and harvesting services. Specifically, agricultural material supply services, ploughing, seeding and harvesting services and post-production services are the most effective on promoting premiumization of grain production, and production management services have the most significant driving effect on greenization of grain production.
- Compared to farm households with better resource endowments, the agricultural production trusteeship has a better promotion effect on the high-quality production of grain by the small farm holders with a small number of labor force, a small scale of operation and fewer types of agricultural machinery.
- Agricultural production trusteeship can effectively promote high-quality production of grain and help secure grain security of China. Hence, the government should strongly support the development of agricultural production trusteeship and enrich the content of agricultural production trusteeship.
- Given the differences in the effectiveness of different trusteeship services in promoting high-quality production of grain, the government should focus on supporting the service links with significant promotion effect.
- Given the fact that agricultural production trusteeship has a better driving effect on small farm households, and that small farm households are still the mainstay of grain cultivation in China. Hence, it is important to raise the awareness of agricultural production trusteeship of the small holders and to guide more small holders to choose agricultural production trusteeship.
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Conflicts of Interest
References
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| 1 | In China, the statistical standard for land area is usually "mu" (1 mu=666.67 square meters), so the land area in this article is expressed in mu. |
| 2 | See China’s Ministry of Agriculture and Rural Affairs - Bearing Steady the Heavy Responsibility of Grain Production for Consolidating the Foundation of a Strong Nation. http://www.ghs.moa.gov.cn/xczx/202210/t20221021_6413824.htm
|
| 3 | Henan, Shandong, Anhui, Jiangsu and Hebei are the top 5 provinces in the country in terms of wheat production. In 2019, the wheat sowing area and total production of these 5 provinces were 17,213.43 thousand hectares and 107,316.6 thousand tons respectively, accounting for 72.55% and 80.33% of the national wheat sowing area and national production respectively. |
| 4 | By the end of 2019, the area under agricultural production trust in Hebei, Anhui, Shandong and Henan provinces had all exceeded 100 million mus or more, and the area under agricultural production trust in Jiangsu province had reached more than 50 million mus. |
| 5 | According to data from the third agricultural census, China now has 230 million farm households, with an average household scale of operation of 7.8 mus, and of these farm households, 210 million are small-scale ones operating on less than 10 mus of cultivated land, accounting for more than 98% of agricultural operation entities. |

| Dimension indexes | Element indexes | Measurement method |
|---|---|---|
| High efficiency of grain production (0.15308) |
Efficiency of farm machinery operation (0.05696) |
Relative to average level of operation, the agricultural operators’ assessment of the operational efficiency of the agricultural machinery they use: very low=1, relatively low=2, fairly average=3, a little bit higher=4, much higher=5 |
| Efficiency of land output (0.04942) |
Yield of wheat per mu in 2020(kg/mu) | |
| Efficiency of resource utilization (0.04669) |
Relative to average use, the agricultural operators’ assessment of the amount of agricultural inputs used: much more=1, more=2, fairly average=3, less=4, much less=5 |
|
| Premiumization of grain production (0.49035) |
Use of high-quality seeds (0.32074) |
Whether high-quality seeds are used: yes=1, no=0 |
| Standardized production (0.16961) |
The number of the four links of unified seed supply, unified farm machinery operation, unified land management and unified marketing which the farm households have used: 0,1, 2, 3 or 4 |
|
| Greenization of grain production (0.32883) |
Use of green inputs (0.27415) |
Types of green pesticides (including biopesticides, pollution-free pesticides, etc.) and green fertilizers (including organic fertilizers, green fertilizers, etc.) used: 0, 1 or 2 |
| Use of green production technology (0.05468) |
The number of the 6 green agricultural production techniques of seed coating, deep tillage and subsoiling, soil testing formula fertilization, green prevention and control techniques, sprinkler and drip irrigation, and straw returning used: 0, 1, 2, 3, 4, 5 or 6 |
|
| Branding of grain production (0.02774) |
High quality and good price mechanism (0.02774) |
The agricultural operator’s assessment of the price of wheat sold relative to the market price: low=1, slightly lower=2, fairly average=3, slightly higher=4, much higher=5 |
| Variable name | Variable definition and assignment | Mean | Standard deviation |
|---|---|---|---|
| High-quality production of grain | This is the high-quality grain production index, the higher the value of which, the higher the high-quality grain production level | 0.461 | 0.256 |
| High efficiency of grain production | This is the efficient grain production index, the higher the value of which, the higher the grain production efficiency level | 0.527 | 0.174 |
| Premiumization of grain production | This is the premium grain production index, the higher the value of which, the higher the grain production premiumization level | 0.477 | 0.379 |
| Greenization of grain production | This is the green grain production index, the higher the value of which, the higher the grain production greenization level | 0.396 | 0.308 |
| Branding of grain production | This is the branding index of grain production, the higher the value of which, the higher the branding level of grain production | 0.569 | 0.189 |
| Whether participating in the agricultural production trusteeship | Whether or not farm households were under agricultural production trusteeship in 2020: yes=1, no=0 | 0.497 | 0.5 |
| Age | This is the age of grain production decision-makers (years) | 56.5 | 10.347 |
| Education background | This is the educational background of grain production decision-makers: primary school and below=1, junior high school=2, senior high school=3, college=4, undergraduate and above=5 | 1.814 | 0.792 |
| Number of agricultural labor force | This was the number of household agricultural labour force in 2020 (persons) | 1.884 | 0.557 |
| Part-time business | Whether or not the agricultural labor force was working or doing business during the agricultural leisure time in 2020: yes=1, no=0 | 0.653 | 0.476 |
| Total household income | This was the total household income in 2020: less than RMB 50,000 =1, between RMB 50,000 and RMB 100,000= 2, RMB100,000 or above=3 | 1.973 | 0.76 |
| Proportion of grain income | This is the proportion of grain income in total household income in 2020: below 20%=1, 20% or between 20% and 50%=2, 50% or between 50% and 80%=3, 80% or above=4 | 2.225 | 1.081 |
| Market distance | This is the distance between farm households and large agricultural markets (km) | 3.959 | 2.514 |
| Scale of Operation | This was the household Area of wheat planted in 2020 (mu) | 21.488 | 151.374 |
| Degree of land fragmentation | This was the number of patches of land/scale of operation in 2020 | 0.476 | 0.489 |
| Types of agricultural machinery | This is the household types of farm machinery, including ploughing machinery, subsoiler, seeder (or seed and fertilizer co-sowing machine), fertilizing machinery, motor-driven pesticide application equipment, watering equipment, harvester, agricultural conveyor and thresher, calculated in round-off numbers | 1.383 | 1.437 |
| Traffic conditions | This is the accessibility of large agricultural machinery to the cultivated land: very inconvenient=1, not very convenient=2, general=3, relatively convenient=4, very convenient=5 | 4.118 | 0.865 |
| Information acquisition channels | These are the six channels for farm households to get access to agricultural information, including relatives and friends, television, mobile phone or computer, cooperatives and other organizations, village committees or government departments, and agricultural materials distributors, calculated in round-off numbers | 3.423 | 1.301 |
| Availability of farm machinery household resources | Whether or not farm households have farm machinery household resources: yes=1, no=0 | 0.794 | 0.405 |
| Membership of cooperative organizations | Whether or not farm households joined organizations such as cooperatives: yes=1, no=0 | 0.491 | 0.5 |
| Government publicity situation | This is the number of agricultural production trusteeship publicity campaigns targeted by government departments in a year | 3.428 | 1.921 |
| Professional cultivation guidance | This is the number of on-site cultivation instruction by professional technicians within a year | 2.501 | 2.073 |
| Variable Name | Estimated value of coefficient | Standard deviation | Z value |
|---|---|---|---|
| Age | 3.068*** | 0.507 | 6.05 |
| Education background | 0.327*** | 0.1 | 3.27 |
| Number of agricultural labor force | -0.515*** | 0.143 | -3.61 |
| Part-time business | 0.652*** | 0.197 | 3.3 |
| Total household income | 0.719*** | 0.119 | 6.06 |
| Proportion of grain income | 0.177** | 0.083 | 2.12 |
| Market distance | 0.305* | 0.168 | 1.82 |
| Scale of operating | -0.056 | 0.12 | -0.47 |
| Degree of land fragmentation | -0.667*** | 0.226 | -2.95 |
| Type of agricultural machinery | -0.313*** | 0.061 | -5.18 |
| Traffic conditions | 0.556*** | 0.116 | 4.81 |
| Channels of information acquisition | 0.241*** | 0.083 | 2.91 |
| Availability of farm machinery household resources | -0.418** | 0.179 | -2.33 |
| Membership of cooperative organizations | 0.470** | 0.204 | 2.3 |
| Government publicity campaigns | 0.324*** | 0.044 | 7.38 |
| Professional cultivation guidance | 0.144*** | 0.039 | 3.68 |
| Constant term | -18.370*** | 2.303 | -7.98 |
| LR statistics | 483.397*** | ||
| Pseudo | 0.297 | ||
| Sample size | 1174 | ||
| Matching methods | LR statistics | P-value | Mean deviation (%) | Median deviation (%) | |
|---|---|---|---|---|---|
| Before matching | 0.299 | 486.15 | 0.000 | 35.3 | 28.5 |
| K-nearest neighbor matching | 0.013 | 20.7 | 0.19 | 4.9 | 5.4 |
| Caliper matching | 0.013 | 20.2 | 0.211 | 3.9 | 3.1 |
| Core matching | 0.013 | 20.33 | 0.206 | 4.1 | 3.8 |
| Local linear regression matching | 0.013 | 20.35 | 0.205 | 4.3 | 3.6 |
| Spline matching | 0.013 | 20.35 | 0.205 | 4.3 | 3.6 |
| Matching method | K-nearest neighbor matching |
Caliper matching |
Core matching |
Local linearity regression matching |
Spline matching |
Average |
|---|---|---|---|---|---|---|
| High-quality grain production | ||||||
| Experimental group | 0.626 | 0.626 | 0.626 | 0.626 | 0.626 | 0.626 |
| Control group | 0.327 | 0.334 | 0.335 | 0.334 | 0.34 | 0.334 |
| ATT | 0.3*** (0.022) |
0.292*** (0.02) |
0.291*** (0.02) |
0.292*** (0.025) |
0.286*** (0.02) |
0.292 |
| High efficiency of grain production | ||||||
| Experimental group | 0.661 | 0.661 | 0.661 | 0.661 | 0.661 | 0.661 |
| Control group | 0.425 | 0.426 | 0.427 | 0.425 | 0.431 | 0.427 |
| ATT | 0.236*** (0.011) |
0.235*** (0.011) |
0.234*** (0.011) |
0.237*** (0.013) |
0.23*** (0.01) |
0.234 |
| Premiumization of grain production | ||||||
| Experimental group | 0.684 | 0.684 | 0.684 | 0.684 | 0.684 | 0.684 |
| Control group | 0.297 | 0.312 | 0.314 | 0.311 | 0.32 | 0.311 |
| ATT | 0.388*** (0.037) |
0.372*** (0.034) |
0.37*** (0.033) |
0.373*** (0.042) |
0.364*** (0.033) |
0.373 |
| Greenization of grain production | ||||||
| Experimental group | 0.52 | 0.52 | 0.52 | 0.52 | 0.52 | 0.52 |
| Control group | 0.311 | 0.31 | 0.311 | 0.313 | 0.314 | 0.312 |
| ATT | 0.209*** (0.029) |
0.21*** (0.026) |
0.21*** (0.026) |
0.207*** (0.034) |
0.206*** (0.023) |
0.208 |
| Branding of grain production | ||||||
| Experimental group | 0.657 | 0.657 | 0.657 | 0.657 | 0.657 | 0.657 |
| Control group | 0.498 | 0.499 | 0.499 | 0.498 | 0.503 | 0.499 |
| ATT | 0.159*** (0.014) |
0.158*** (0.014) |
0.158*** (0.013) |
0.159*** (0.017) |
0.153*** (0.014) |
0.158 |
| Types of Trusteeship services | High-quality grain production | High efficiency of grain production | Premiumization of grain production | Greenization of grain production | Branding of grain production | ||
|---|---|---|---|---|---|---|---|
| Agricultural material supply | Experimental group | 0.614 | 0.618 | 0.701 | 0.482 | 0.619 | |
| Control group | 0.327 | 0.463 | 0.269 | 0.333 | 0.558 | ||
| ATT | 0.287*** (0.015) |
0.155*** (0.01) |
0.433*** (0.022) |
0.149*** (0.021) |
0.06*** (0.013) |
||
| Ploughing, seeding and harvesting services |
Experimental group | 0.558 | 0.613 | 0.597 | 0.467 | 0.63 | |
| Control group | 0.418 | 0.479 | 0.392 | 0.421 | 0.511 | ||
| ATT |
0.139*** (0.025) |
0.134*** (0.015) |
0.205*** (0.039) |
0.046*** (0.03) |
0.119*** (0.015) |
||
| Production management services | Experimental group | 0.597 | 0.621 | 0.62 | 0.546 | 0.676 | |
| Control group | 0.439 | 0.516 | 0.479 | 0.337 | 0.514 | ||
| ATT | 0.158*** (0.017) |
0.105*** (0.011) |
0.141*** (0.027) |
0.208*** (0.021) |
0.162*** (0.012) |
||
| Post-harvest services | Experimental group | 0.685 | 0.676 | 0.759 | 0.573 | 0.743 | |
| Control group | 0.455 | 0.536 | 0.47 | 0.388 | 0.549 | ||
| ATT | 0.23*** (0.017) |
0.14*** (0.012) |
0.29*** (0.026) |
0.185*** (0.025) |
0.194*** (0.015) |
||
| Grouping variables | High-quality grain production |
High efficiency of grain production | Premiumization of grain production | Greenization of grain production |
Branding of grain production | |
|---|---|---|---|---|---|---|
| Number of labor force | ||||||
| 3 persons or less | Experimental group | 0.62 | 0.662 | 0.655 | 0.544 | 0.665 |
| Control group | 0.309 | 0.411 | 0.248 | 0.337 | 0.505 | |
| ATT | 0.311*** (0.026) |
0.25*** (0.014) |
0.408*** (0.043) |
0.207*** (0.035) |
0.16*** (0.016) |
|
| More than 3 persons | Experimental group | 0.62 | 0.645 | 0.732 | 0.441 | 0.623 |
| Control group | 0.375 | 0.436 | 0.434 | 0.248 | 0.495 | |
| ATT | 0.245*** (0.039) |
0.209*** (0.019) |
0.298*** (0.068) |
0.193*** (0.049) |
0.127*** (0.029) |
|
| Scale of operation | ||||||
| 10 mus or less | Experimental group | 0.613 | 0.654 | 0.663 | 0.514 | 0.662 |
| Control group | 0.297 | 0.406 | 0.252 | 0.296 | 0.484 | |
| ATT | 0.316*** (0.026) |
0.248*** (0.014) | 0.411*** (0.043) |
0.218*** (0.034) |
0.178*** (0.017) |
|
| More than 10 mus | Experimental group | 0.648 | 0.673 | 0.714 | 0.538 | 0.653 |
| Control group | 0.385 | 0.446 | 0.381 | 0.352 | 0.52 | |
| ATT | 0.263*** (0.033) |
0.227*** (0.017) |
0.333*** (0.065) |
0.186*** (0.047) |
0.132*** (0.027) |
|
| Types of agricultural machinery | ||||||
| 1 type or less | Experimental group | 0.621 | 0.656 | 0.652 | 0.555 | 0.652 |
| Control group | 0.328 | 0.426 | 0.277 | 0.346 | 0.277 | |
| ATT | 0.293*** (0.026) |
0.23*** (0.014) |
0.375*** (0.044) |
0.209*** (0.037) |
0.375*** (0.044) |
|
| More than 1 type | Experimental group | 0.619 | 0.664 | 0.717 | 0.449 | 0.646 |
| Control group | 0.355 | 0.436 | 0.361 | 0.296 | 0.506 | |
| ATT | 0.264*** (0.028) |
0.229*** (0.014) |
0.355*** (0.046) |
0.153*** (0.036) |
0.139*** (0.02) |
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