| Literature DB >> 36011812 |
Bingbing Huang1, Hui Kong2, Jinhong Yu3, Xiaoyou Zhang3.
Abstract
The relationship and mechanism between agricultural low-carbon technology application and farm household returns are not yet clear, especially the lack of evidence from developing countries. This paper takes large-scale farming households in Jiangxi Province, China, from 2019 to 2020 as the research object, and obtains relevant data from field research to explore the intrinsic impact of agricultural low-carbon technology application on the returns of large-scale farming households. Based on the relevant theoretical analysis, the division dimensions of agricultural low-carbon technologies were proposed, and agricultural low-carbon technologies were subdivided into ten specific low-carbon technologies according to six dimensions: tillage system, breeding, fertilization, irrigation, medicine application, and waste treatment. Relevant questions were designed and researched to obtain data on the application status of low-carbon technologies in agriculture and the income cost status of large-scale farmers. Based on the theoretical analysis, the research hypotheses were proposed, and an empirical analysis was conducted based on the obtained data from large-scale farmers. The application of seven low-carbon technologies in agriculture: conservation tillage system, direct sowing technology, selection of compound fertilizer/organic fertilizer/controlled-release fertilizer, soil formula fertilization technology, deep fertilization/irrigation fertilization, sprinkler/drip irrigation/wet irrigation/intermittent irrigation, and straw resourceization significantly improved the income level of large-scale farmers. Furthermore, the application of biodegradable agricultural membranes, biopesticides, and new pesticide-controlled release technologies did not have significant effects on the income level of large-scale farmers, due to their low application and penetration rate. Based on the findings of the paper, the government should strengthen the promotion and subsidies of agricultural low-carbon technologies, especially those technologies that have no significant impact on large-scale farmers' income, such as biodegradable agricultural membranes, biopesticides, and new pesticide controlled-release technologies, so as to achieve a win-win situation of reducing carbon emissions and increasing farmers' income.Entities:
Keywords: Jiangxi Province; agricultural low-carbon technologies; large-scale farmers; returns
Mesh:
Substances:
Year: 2022 PMID: 36011812 PMCID: PMC9408784 DOI: 10.3390/ijerph191610177
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Distribution of the sample.
| Region | County/District | Sample Size | Subtotal |
|---|---|---|---|
| Fuzhou city | Dongxiang county | 27 | 131 |
| Linchuan county | 34 | ||
| Nanfeng county | 14 | ||
| Linchuan county | 24 | ||
| Nanfeng county | 18 | ||
| Le’an county | 14 | ||
| Ganzhou city | Ningdu county | 19 | 114 |
| Shicheng county | 18 | ||
| Xingguo county | 23 | ||
| Xinfeng county | 33 | ||
| Ningdu county | 21 | ||
| Jiujiang city | De’an county | 13 | 13 |
| Nanchang city | Jinxian county | 18 | 33 |
| Anyi county | 15 | ||
| Xinyu city | Yushui district | 17 | 17 |
| Yichun city | Fengxin County | 14 | 14 |
| Aggregate | 322 | 322 | |
Variable definitions.
| Variable Type | Variable Code | Variable Name | Calculation Method |
|---|---|---|---|
| Implicit Variable |
| Margins | Profit per acre |
| Independent variable |
| Cropping systems | No-till, minimum tillage = 1; conventional tillage = 0 |
|
| Direct sowing | Adopted = 1; not adopted = 0 | |
|
| Agricultural membranes | Degradable agricultural membranes = 1; non-degradable agricultural membranes = 0 | |
|
| Type of fertilizer | Ammonium phosphate type fertilizer/organic fertilizer/controlled release fertilizer = 1; other fertilizers = 0 | |
|
| Fertilizer application method | Deep fertilization/irrigation fertilization = 1; spreading open fertilizer = 0 | |
|
| Soil testing and fertilization | Use = 1; no use = 0 | |
|
| Irrigation method | Wet, intermittent irrigation/sprinkler, drip = 1; conventional irrigation = 0 | |
|
| Type of pesticide | Biopesticides = 1; traditional pesticides = 0 | |
|
| Pesticide control technology | Use = 1; no use = 0 | |
|
| Straw resourceization | Compost to field/over belly to field = 1; incineration/other = 0 | |
| Control variables |
| Family size | Family size |
|
| Age of head of household | Age of head of household | |
|
| Education level of head of household | Elementary and below = 1; middle school = 2; high school = 3; college = 4; graduate and above = 5 | |
|
| Head of household party cadres | Yes = 1; No = 0 | |
|
| Planting scale | Planted area |
Figure 1Scale of cultivation and production by large-scale farmers.
Figure 2The cost of income for large-scale farming households.
Classification of low carbon technology dimensions in agriculture.
| Segment (of Annelid Worms) | Low Carbon Technologies in Agriculture |
|---|---|
| Cropping systems | No-till, low-till |
| Sow seeds | 1. Direct sowing |
| Apply fertilizer | 1. Fertilizer type: ammonium phosphate fertilizer (nitrogen and phosphorus compound fertilizer), organic fertilizer, slow-release fertilizer |
| Irrigate | Moist irrigation, intermittent irrigation, sprinkler irrigation, drip irrigation |
| Apply medicine | 1. Type of pesticide: application of biopesticides |
| Litter | Straw resourceization |
Figure 3Average status of low-carbon technology applications in agriculture.
Model fit.
| Models | R | R2 | Adjusted R2 | Errors in Standard Estimates |
|---|---|---|---|---|
| 1 | 0.883 | 0.779 | 0.743 | 0.229 |
Analysis of Variance Table.
| Models | Square | Degrees of Freedom | Mean Square | F | Saliency |
|---|---|---|---|---|---|
| Return to | 16.872 | 15 | 1.125 | 21.400 | 0.000 |
| Residual | 4.783 | 91 | 0.053 | / | / |
| Aggregate | 21.655 | 322 | / | / | / |
Regression Analysis.
| Models | Non-Standardized Coefficient | Standardization Factor | t | Saliency | Covariance Statistics | ||
|---|---|---|---|---|---|---|---|
| B | Standard Error | Beta | Allowable | VIF | |||
| (Constant) | 5.341 | 0.656 | / | 8.140 | 0.000 | / | / |
|
| 0.280 | 0.056 | 0.311 | 4.975 | 0.000 | 0.622 | 1.606 |
|
| 0.215 | 0.050 | 0.237 | 4.291 | 0.000 | 0.794 | 1.259 |
|
| −0.020 | 0.051 | −0.020 | −0.393 | 0.695 | 0.962 | 1.039 |
|
| 0.218 | 0.062 | 0.185 | 3.511 | 0.001 | 0.873 | 1.145 |
|
| 0.248 | 0.050 | 0.269 | 4.987 | 0.000 | 0.835 | 1.197 |
|
| 0.250 | 0.055 | 0.266 | 4.557 | 0.000 | 0.713 | 1.402 |
|
| 0.222 | 0.054 | 0.240 | 4.089 | 0.000 | 0.704 | 1.421 |
|
| 0.032 | 0.095 | 0.018 | 0.341 | 0.734 | 0.889 | 1.125 |
|
| 0.072 | 0.061 | 0.061 | 1.184 | 0.240 | 0.916 | 1.091 |
|
| 0.124 | 0.060 | 0.110 | 2.067 | 0.042 | 0.864 | 1.158 |
| 0.005 | 0.079 | 0.003 | 0.057 | 0.955 | 0.816 | 1.225 | |
| 0.163 | 0.151 | 0.062 | 1.080 | 0.283 | 0.737 | 1.357 | |
|
| −0.022 | 0.028 | −0.046 | −0.778 | 0.439 | 0.696 | 1.438 |
|
| −0.047 | 0.051 | −0.052 | −0.924 | 0.358 | 0.778 | 1.286 |
| −0.082 | 0.040 | −0.107 | −2.036 | 0.045 | 0.875 | 1.143 | |