Modern rice technology and regional wage differentials in the Philippines

Fear has been widely expressed that the modern rice varieties have created large disparities in regional income distribution, as the productivity gap between favorable and unfavorable rice-production environments widened due to differential technology adoption throughout South and Southeast Asia over the last two decades. Technology affects the income of farm population directly through its effects on productivity and factor use, and indirectly through its effect on factor prices. In particular, the ultimate distributional impact of modern varieties will critically depend on the interregional labor-market adjustments through migration in response to regional wage differentials created by the differential technology adoption, since labor is the main resource of the majority of the rural population. We studied favorable and unfavorable rice-growing villages in the Philippines, and found that adoption of modern varieties during the 1970s was positively related to population growth rate. Contrary to popular belief, no association was observed between wage rates and adoption of modern varieties as of 1986. These findings support the hypothesis that the differential adoption of modern rice varieties induced interregional labor migration toward equalization of wage income across different production environments.     

ADOPTION OF MODERN VARIETIES AND FERTILIZER USE ON RICE IN THE EASTERN TARAI OF NEPAL

Factors influencing the adoption of MV (modern variety) rices and fertilizer in the Tarai of southeastern Nepal were examined through multivariate probit (varietal adoption) and tobit (fertilizer adoption and use rates) regression models. This study reaffirms the finding that the adoption of modern rice technology is highest where irrigation exists. Tenure status and access to credit were significantly related to varietal adoption but family and farm size and the operator's education were not. Similar variables, in addition to fertilizer price, influenced the probability of fertilizer adoption and use rates on rice.     

THE MODERN SEED-FERTILISER TECHNOLOGY AND ADOPTION OF LABOUR-SAVING TECHNOLOGIES: THE PHILIPPINE CASE*

While intervillage differences in the adoption of modern rice varieties (MVs) are explained mainly by environmental variables, rather than by socioeconomic factors, relative factor prices are the most important determinants of the adoption oflabour-saving technologies. There is no indication that MV adoption is correlated with the adoption of tractors and threshers as well as cropping intensities. Adoption of direct seeding, however, appears to be associated with MV adoption.     

Impact of land fragmentation and resource ownership on productivity and efficiency: The case of rice producers in Bangladesh

The paper analyzes the impact of land fragmentation and ownership of resources on productivity and technical efficiency in rice production in Bangladesh using farm level survey data. Results reveal that land fragmentation has a significant detrimental effect on productivity and efficiency as expected. The elasticity estimates of land fragmentation reveal that a 1% increase in land fragmentation reduces rice output by 0.05% and efficiency by 0.03%. On the other hand, ownership of key resources (land, family labour, and draft animals) significantly increases efficiency. The mean elasticity estimates reveal that a 1% increase in family labour and owned draft animal improve technical efficiency by 0.04% and 0.03%, respectively. Also, a 1% increase in the adoption of modern technology improves efficiency by 0.04%. The mean technical efficiency in rice production is estimated at 0.91 indicating little scope to improve rice production per se using existing varieties. Policy implications include addressing structural causes of land fragmentation (e.g., law of inheritance and political economy of agrarian structure), building of physical capital (e.g., land and livestock resources), improvements in extension services and adoption of modern rice technology.     

Modern variety adoption and risk management in drought prone areas: insights from the sorghum farmers of eastern Ethiopia

Adoption rates of improved or modern varieties (MV) of sorghum in eastern Ethiopia are generally low. Although these MV may represent an effective means of coping with droughts, given their early maturing traits, landraces could prove to be more drought‐tolerant and better adapted to marginal production conditions. Whether MV adoption is a risk reducing technology is very much an empirical question which this article investigates using a unique dataset from eastern Ethiopia in a year of extreme weather conditions. Results show that risk‐factors coupled with access to markets and social capital drive farmers’ decisions to adopt MVs. On the one hand, it appears that farmers use MVs to mitigate moderate risks. On the other hand, farmers who have been most vulnerable to extreme weather events are less likely to use MVs suggesting that MV adoption does not necessarily represent an effective means of coping with drought. Finally, findings show that MV growers are more likely to be affected by sorghum failure once controlling for exogenous production factors.     

减量增效技术的选择性采纳与集成推广策略

[目的]基于农户“选择性采纳”特征开展减量增效技术的系统集成与打包推广,是降低推广成本、提高推广效率的重要途径。[方法]文章运用2017—2018年浙江省638户稻农调研数据,基于列联分析、Order Probit与Multivariate Probit模型,从采纳强度和采纳结构两个方面,分析了农户化肥减量增效技术选择性采纳特征及其影响因素。[结果]农户选择性采纳现象十分普遍,且技术属性与资源禀赋共同塑造了选择性采纳特征：（1）采纳强度较低,减肥技术平均采纳强度为1.74项。（2）虽然总体上农户更加偏好资金密集型技术,但采纳结构差异明显,多项减肥技术采纳决策中同时存在替代与互补关系。（3）禀赋约束是决定农户选择性采纳的重要因素,其中劳动力数量、家庭收入等经济禀赋决定了劳动力密集型与资本密集型技术的取舍进而影响了采纳强度与采纳结构,而参与技术培训、加入合作社等社会禀赋则有助于缓解经济禀赋约束。[结论]减量增效技术的集成推广应基于农户资源禀赋异质性,制定更为灵活化、差异化的推广方案。     

Climate-resilient practices and welfare impacts on rice-cultivating households in Vietnam: Does joint adoption of multiple practices matter?

Farmers have a long history of adjusting their production practices in response to changing production conditions. Using a multinomial endogenous treatment effects model that accounts for observable and unobservable heterogeneity, this study investigates the adoption and welfare impacts of climate-resilient practices on Vietnamese rice-cultivating households. We found evidence of clear and positive welfare impacts from the adoption of canal irrigation (CI) and the joint adoption of agricultural conservation practices (CP) and CI as the main adaptation strategies to increase water stress. More importantly, although farmers with access to CI systems obtained the highest returns, the joint adoption of multiple practices still had substantially high adoption rates and significantly positive effects on rice yield, rice revenue and household income. Our findings indicate that farms' and farmers' characteristics, market information and climatic conditions are generally the main factors driving rice farmers' decisions to adopt climate-resilient technologies, both individually and jointly. Follow-up policy interventions should focus on improving CI systems and promoting the joint adoption of climate-resilient technologies to improve rice farmers' well-being and enhance their resilience capacity to cope with incoming climatic uncertainty.     

Impact of training on the intensification of rice farming: evidence from rainfed areas in Tanzania

Agricultural development is indispensable for poverty reduction and food security in sub‐Saharan Africa (SSA). This study investigates the impact of rice production training in a modified version of the System of Rice Intensification (SRI) on the performance of small‐scale rice farmers in a rainfed area of Tanzania. Utilizing the plot level variation, we employ propensity score matching (PSM) to assess the impact of training on technology adoption, productivity, and profitability. We also estimate a difference‐in‐differences model with plot fixed effects using recall panel data covering the periods before and after training. We found that trainees achieved an average paddy yield of 4.7 tons per hectare and rice profit of 191.5 USD per hectare on the plots where new technologies were adopted, which is higher by about 1.3–1.8 tons and 119–137 USD per hectare than on the other plots. Our study suggests the high potential of transforming favorable rainfed rice growing areas in SSA so as to achieve a rice Green Revolution through training in modern input use and improved agronomic practices.     

生态种养模式采纳对农户农业劳动力质量的影响研究——以稻虾共作模式为例

目的 基于江汉平原地区1 023份农户微观调查数据，探讨生态种养模式采纳者是否能拥有更高的农业劳动力质量，以期为如何缓解我国农业劳动力质量约束提供可参考的建议。方法 文章采用内生转换模型，在“反事实”分析框架下分析农户生态种养模式采纳决策对农业劳动力质量的影响。进一步运用工具变量法探究农户生态种养模式采纳强度对农业劳动力质量的影响。结果 （1）采纳生态种养模式需要更高的家庭农业劳动力质量水平，具体表现为在“反事实”假设下，采纳生态种养模式的农户比其未采纳时农业劳动力质量高23.65%。（2）从采纳强度上看，采纳生态种养模式强度越高的农户拥有的农业劳动力质量越高。结论 政府应针对不同地区的自然资源禀赋，因地制宜地加大生态种养模式研发与推广的力度，引导农户适度采纳生态种养模式，吸引高质量劳动力回流，助力农业高质量发展。     

Resource use efficiency under self‐selectivity: the case of Bangladeshi rice producers

The paper jointly evaluates the determinants of switching to modern rice and its productivity while allowing for production inefficiency at the level of individual producers. Model diagnostics reveal that serious selection bias exists, justifying the use of a sample selection framework in stochastic frontier models. Results revealed that modern variety selection decisions are influenced positively by the availability of irrigation and gross return from rice and negatively by a rise in the relative wage of labour. Adoption of modern rice is higher in underdeveloped regions. Seasonality and geography/location does matter in adoption decisions. Stochastic production frontier results reveal that land, labour and irrigation are the significant determinants of modern rice productivity. Decreasing returns to scale prevail in modern rice production. The mean level of technical efficiency (MTE) is estimated at 0.82. Results also demonstrate that the conventional stochastic frontier model significantly overestimates inefficiency by three points (MTE = 0.79). Policy implications include measures to increase access to irrigation, tenurial reform and keeping rice prices high to boost farm returns and offset the impact of a rise in the labour wage which will synergistically increase the adoption of modern rice as well as farm productivity.     

Early adoption,experience, and farm performance of GM corn seeds

The current article explores the characteristics that distinguish early from late adopters of GM corn and measures the productivity impacts of early adoption, for a sample of farmers in Minnesota and Wisconsin. The results of the adoption analysis confirm that size, education as well as specialization are positively correlated with early adoption. In addition, these results also show that farms that are mostly worked by family labor but hire some off‐farm labor are more likely to adopt GM seeds earlier in the diffusion process. The productivity analysis demonstrates the superiority of stacked varieties. At the same time, we find no evidence of a direct impact of experience on yields. Given the previously documented impact of early adoption on the use of stacked varieties, we conclude that experience plays a role through the adoption of these new technologies but does not play a role in allowing the producer to use the technology more efficiently, once it has been adopted.     

Cooperative membership and adoption of green pest control practices: Insights from rice farmers

Reducing the use of chemical pesticide while preserving crop yield is a practical strategy that makes agricultural production economically, socially and environmentally sustainable. Although the adoption of green pest control practices can help achieve such a goal, its adoption rate remains quite low. This study explores whether membership in agricultural cooperatives improves smallholder farmers' adoption of green pest control practices, utilising farm-level data surveyed from rice farmers in China. To enrich our understanding, we also investigate how the adoption of green pest control practices mediates the effects of cooperative membership on chemical pesticide expenditures. An endogenous switching probit model and a bootstrap-based mediation method are employed to achieve these goals. The empirical results show that cooperative membership significantly increases the probability of adopting physical pest control practices (e.g. pest-killing lamps or sticky plate traps) and biological pest control practices (e.g. biopesticides) by 6% and 19%, respectively. Cooperative membership significantly reduces chemical pesticide expenditures through its mediation effect on improving the probability of adopting biological pest control practices. There is also a complementary relationship between physical and biological pest control practices in pest management of rice production. The adoption of physical pest control practices significantly increases rice yield, while the adoption of biological pest control practices does not.     

农机社会化服务对农业劳动生产率的影响研究

[目的]农业劳动生产率的提高是中国农业现代化的重要特征,进一步探讨农机社会化服务对农业劳动生产率的作用效果具有现实意义。[方法]文章基于2019年全国13省份玉米种植户调查数据,采用OLS回归模型与倾向得分匹配法,分析了农机社会化服务对农业劳动生产率的影响效应,探讨影响效应在不同地形条件、兼业程度的组群差异,并考察了不同环节农机社会化服务对农业劳动生产率的影响差异。[结果]（1）农机社会化服务正向显著影响农业劳动生产率,采纳农机社会化服务会促使农户农业劳动生产率显著提高18.8%。但农户采纳农机社会化服务的作用效果具有环节异质性。采纳耕整地、播种、灌溉排水和收获环节农机社会化服务会促使农户农业劳动生产率分别显著提高21.2%、17.4%、22.9%和18.3%;(2)而农户采纳植保环节农机社会化服务对农业劳动生产率并不具有显著影响。农户采纳农机社会化服务对劳动生产率的影响效应还存在禀赋差异,平地农户采纳农机社会化服务使其农业劳动生产率显著提高21.9%,而坡地山地农户采纳农机社会化服务对农业劳动生产率没有表现出显著的影响。（3）纯农业户与兼业农户采纳农机社会化服务都会对农业劳动生产率产...     

政府培训、技术认知与农户生态农业技术采纳行为——以稻虾共养技术为例

[目的]农户作为生态农业技术最直接的采纳者,其对生态农业技术有着独立的选择权,农户是否采纳生态农业技术直接影响到该技术的推广效率。稻虾共养技术实现了水稻种植和小龙虾养殖相协调,该技术符合生态农业技术的要求。因此,文章以稻虾共养技术为例,通过分析江苏省和湖北省稻虾共养技术推广情况,以期提高农户对稻虾共养技术的采纳行为,并重点从政府培训、农户技术认知、农户个体特征、家庭经营特征和社会网络等五方面研究其对农户采纳稻虾共养技术的影响。[方法]运用二元Logistic模型和Bootstrap方法,基于江苏省和湖北省共612份农户的微观调研数据,实证分析了政府培训、技术认知对农户稻虾共养技术采纳行为的影响及其内在作用机制。[结果](1)政府培训次数和政府培训有效性对农户稻虾共养技术采纳行为有显著的正向影响,政府培训及时性对农户稻虾共养技术采纳行为的影响效果不显著;(2)其内在作用机制主要体现在,政府培训有效性可以提高农户技术认知水平,降低其技术应用风险,最终促使农户产生技术采纳行为;(3)户主是否村干部、是否加入合作社等对农户采纳稻虾共养技术有显著的正向影响,而户主年龄和耕地块数对其技术采纳行为有显著的负向影响。[结论]政府培训能够提高农户对生态农业技术的采纳行为,并且政府通过技术培训,可以提高农户对生态农业技术的认知,进而对农户技术采纳行为产生显著的正向影响。     

Socioeconomic aspects of rice‐fish farming in Bangladesh: opportunities,challenges and production efficiency*

In spite of the potential for rice‐fish farming in Bangladesh, it has been adopted by relatively few farmers because of socioeconomic, environmental, technological and institutional constraints. Rice monoculture remains the main farming system in Bangladesh even though integrated rice‐fish farming is the best farming system in terms of resource utilisation, diversity, productivity, production efficiency and food supply. Only a small number of farmers involve in integrated rice‐fish farming. This study concludes that rice‐fish farming is as production efficient as rice monoculture and that integrated performs better in terms of cost and technical efficiency compared with alternate rice‐fish farming. Integrated rice‐fish farming can help Bangladesh keep pace with the current demand for food through rice and fish production. However, a lack of technical knowledge of farmers, high production costs and risks associated with flood and drought are inhibiting more widespread adoption of the practice.     

Self‐protection from weather risk using improved maize varieties or off‐farm income and the propensity for insurance

We investigate how self‐protection from the adoption of Improved Maize Varieties (IMV) and off‐farm income affects risk premiums for smallholder maize producers in Uganda. To unbundle these effects, we specify the cost of risk to explicitly capture four risk components—mean, variance, skewness, and kurtosis. Using unique plot‐level panel data for Uganda, we estimate and test moments of a flexible production function based on an expanded form of the Johnson S_U family distribution and proceed to simulate the degree of responsiveness of risk premiums and welfare estimates to marginal changes in the share of land under IMV and off‐farm income. Scenarios of joint adoption of IMV accompanied with low and high application of inorganic fertilizer, and the effect of off‐farm income when there is high and low supply of farm labor are examined. Results show that the use of IMV and off‐farm income substantially reduces risk premiums and the individual effect is much higher under low fertilizer application and high supply of farm labor, respectively. Thus implying that self‐protection is likely to reduce the propensity for index insurance especially if its design fails to consider the reduction in downside risk.     

Impact of Genetically Engineered Varieties on the Cost Structure of Corn and Soybean Production in Canada

This paper investigates the impact of genetically engineered (GE) varieties on the cost structure of corn and soybean production in Canada. Employing an adoption index for each farm and a time trend with farm‐level data on production costs of grain corn and soybeans from 2000 to 2007, a translog cost function and the associated input‐share equations are estimated. The use of the adoption index improves the estimates of technological change and multifactor productivity (MFP) growth. The results demonstrate that the adoption of GE corn and soybean reduced the variable costs of production by 0.62% per year. The MFP of corn and soybean grew by 2.0% per year during the study period, and 31% of this growth is attributable to GE varieties of these crops. The results also reveal that the adoption of GE varieties reduced the cost shares of fertilizer, herbicides and pesticides, and machinery in corn and soybean production. While the adoption of GE varieties increased the cost shares of seeds and custom works including labor, only the former was statistically significant.     

Productivity and Land Enhancing Technologies in Northern Ethiopia: Health, Public Investments, and Sequential Adoption

The adoption of more efficient farming practices and technologies that enhance agricultural productivity and improve environmental sustainability is instrumental for achieving economic growth, food security, and poverty alleviation in sub-Saharan Africa. Our research examines the interaction between public investments, community health, and adoption of productivity and land enhancing technologies by households in the northern Ethiopian state of Tigray. Agricultural technology adoption decisions are modeled as a sequential process where the timing of choices can matter. We find that time spent sick and opportunity costs of caring for sick family members are significant factors in adoption. Sickness, through its impact on household income and labor allocation decisions for healthcare and other activities, significantly reduces the likelihood of technology adoption. Our findings suggest that agencies working to improve agricultural productivity and land resource conservation should consider not only the financial status of potential adopters, but also their related health situation.     

The complex dynamics of smallholder technology adoption: the case of SRI in Madagascar

This article explores the dynamics of smallholder technology adoption, with particular reference to a high‐yielding, low external input rice production method in Madagascar. We present a simple model of technology adoption by farm households in an environment of incomplete financial and land markets. We then use a probit model and symmetrically censored least squares estimation of a dynamic tobit model to analyze the decisions to adopt, expand, and disadopt the method. We find that seasonal liquidity constraints discourage adoption by poorer farmers. Learning effects—both from extension agents and from other farmers—exert significant influence over adoption decisions.     

Resource saving and productivity enhancing impacts of crop management innovation packages in Ethiopia

Crop management innovations are often not discrete fixed stand‐alone options—and their adoption may imply various combinations and adaptations. This potentially confounds their impact assessment. This article assesses the resource saving and productivity enhancing impacts of a crop management package revolving around minimum tillage in maize‐based farming systems in northwest Ethiopia. An endogenous switching regression model was applied to plot‐ and household‐level survey data collected from 290 rural households operating 590 maize plots during the 2012 production year. Controlling for variations in plot and household characteristics, the average effect of minimum tillage package (minimum tillage package) on maize productivity is 0.44 t/ha. Compared to conventional practice (CP), adoption of the MTP decreased the average male and female labor use in maize production by 14.4 and 8.2 person‐days per ha, respectively. Similarly, MTP adoption decreased draft power use for land preparation by 13.2 pair of oxen‐days per ha. Compared to CP, in general, there is a considerable short‐run maize productivity gain and reduction in labor and draft power use under MTP.