What Affects the Production Technology of Labor-Intensive Agricultural Industries in the Context of Labor Aging? An Empirical Study Based on the Garlic Production in Lanling

While the aging of agricultural labor force and its impact on agricultural production have been attracting extensive attention, little is known about the relationship between aging of agricultural labor force and technical efficiency in the garlic production. Based on the survey data of garlic growers in Lanling County, Shandong Province, the Data envelopment analysis（DEA）model is used to measure the production technical efficiency of garlic growers in 84 villages in Lanling County, Shandong Province, with the aging of the labor force. The distribution characteristics and changing trends of garlic production technology efficiency are analyzed in terms of family characteristics and garlic planting characteristics, and regression analysis is performed on the differences of the results. The study found the following: (1) Garlic growers in Lanling County, Shandong Province, accounted for a high proportion of laborers over 60 years old, and their physical health status was weaker than that of young laborers, which reduced the technical efficiency of garlic planting and production. (2) The number of garlic varieties grown by garlic growers and the number of garlic planted in acres have a significant negative impact on the technical efficiency of garlic planting by farmers. (3) There is a significant positive correlation between the annual household income of farmers and the production technology efficiency of garlic growers; when the number of garlic training is not more than three times, it has a positive impact on the production technology efficiency of garlic planting by farmers, and more than three times are related to garlic production technology. The efficiency is negatively correlated.

An overview of pruning and harvesting manipulators

Purpose The motivation for robotics research in the agricultural field has sparked in consequence of the increasing world population and decreasing agricultural labor availability. This paper aims to analyze the state of the art of pruning and harvesting manipulators used in agriculture. Design/methodology/approach A research was performed on papers that corresponded to specific keywords. Ten papers were selected based on a set of attributes that made them adequate for review. Findings The pruning manipulators were used in two different scenarios: grapevines and apple trees. These manipulators showed that a light-controlled environment could reduce visual errors and that prismatic joints on the manipulator are advantageous to obtain a higher reach. The harvesting manipulators were used for three types of fruits: strawberries, tomatoes and apples. These manipulators revealed that different kinematic configurations are required for different kinds of end-effectors, as some of these tools only require movement in the horizontal axis and others are required to reach the target with a broad range of orientations. Originality/value This work serves to reduce the gap in the literature regarding agricultural manipulators and will support new developments of novel solutions related to agricultural robotic grasping and manipulation.

Transformation of Personnel Training for Rural Economy

Currently, a modern young specialist is expected to meet the market forming criteria for the selection in the agricultural labor market and have a risk-oriented thinking. It is necessary to upd ate the structure of the development of an effective mechanism for the training of highly qualified personnel on the basis of specialized universities in the region. The relevance of the topic of the study is explained by the fact that the agricultural labor market is experiencing a shortage of young highly qualified IT specialists in digital agriculture. This article raises the problem of personnel training that meets the modern requirements of dynamically developing agriculture in the conditions of digitalization of the country in the post-pandemic period. The purpose of the study is to analyze the tasks facing an agricultural university in training of young specialists for agriculture as a branch of the digital economy of Russia. The objectives of the article are to develop a model for partnerships and promotion of employment of young specialists in the post-pandemic economy in order to develop optimal variants for covering personnel deficit in the agriculture; to suggest measures on the regulation of the labor market for young specialists. The solution of the tasks se t in the article will allow training highly qualified young specialists with all the necessary competencies and capable of meeting the requirements of the modern agricultural labor market. The article discusses the concepts, the departmental program “Digital Agriculture”, the areas of training and additional training of young specialists in the agriculture. The implementation of modern goals facing agricultural universities will improve the algorithm for training highly qualified young specialists who would be able to meet all the selection criteria in the agricultural labor market.

Comparison of Diesel Tractor Emissions in Korea

Due to the shortage of agricultural labor forces and rapid aging of farmers, the utilization of tractors is becoming popular and essential in Korea. Tractors can be classified into two types, a walking tractor called as a power tiller and a riding tractor. In this study, agricultural tractors including walking and riding types were categorized into 4 levels by rated output power. And diesel emission inventory of tractors was established and analyzed using 2011 and 2019 survey data in Korea. Emission inventory including CO, NOx, SOx, TSP(PM10), PM2.5, VOCs and NH3 were established using Tier 3 methodology. The total amount of emission using agricultural tractors was decreased about 13% from 2011 to 2019. The number of walking tractors were decreased by about 19% in 8 years, on the other hand that of riding tractors were increased by about 12%. However, the emission reduction is about 48% for walking tractors and the emission increment is about 5% for riding tractors. Thus, the total emission from agricultural tractors was decreased by about 16% in those periods. It is due to the decrease of 21% and 15% in the hours of use of walking and riding tractors, respectively, in 2019. Walking tractors mainly emit air pollutants from spraying and transporting. Riding tractors mainly 61% of total air pollutants emits from soil preparation and transporting operations. Geographic information system (GIS) was used to spatially assign air pollutants variables into 17 provinces and metropolitan cities in Korea. High emission generating regions and changes of emissions during 8 years were clearly seen in GIS analysis. High air pollutant emitting regions are mainly located in the western and southern regions of Korea, which have plenty of arable areas compared to other regions in Korea.

The Influence Paths of Agricultural Mechanization on Green Agricultural Development

For sustainable agricultural development, increasing efforts are put on promoting agricultural mechanization and green agricultural development all over the world. Based on the panel data of Chinese provincial agriculture from 2002 to 2018, the System Generalized Method of Moments model and mediation model are constructed to explore the paths of agricultural mechanization affecting green agricultural development. The results show that agricultural mechanization can not only promote the green agricultural development directly but also indirectly by transferring the agricultural labor force and increasing fertilizer input. However, because of the surge of pesticide demand, agricultural mechanization also leads to serious pollution indirectly. With the development of large-scale agricultural machinery, the direct promotion of agricultural machinery on green agricultural development will be more significant. However, it will be less efficient to substitute more agricultural labor force with machinery power. The problem of pesticide abuse will also become more serious. Therefore, it is important for green agricultural development to encourage human capital investment in agricultural mechanization. In addition, more attention should be paid to improving the input efficiency of fertilizers and pesticides so that agriculture will be sustainable in production and the ecological environment.

Analysis on the Spatio-Temporal Evolution and Influencing Factors of China's Grain Production

The rapid economic development and climate change have accelerated the changes in China's food production and have a potential impact on food security. In this paper, the grain sown area from 2001 to 2019 was selected to analyze the spatio-temporal evolution and driving factors of China's grain production through spatial autocorrelation analysis and geographically weighted regression. Our findings were as follows: (1) From the perspective of time characteristics, China's grain production from 2001 to 2019 experienced four stages: rapid decline, rapid growth, steady growth, and slow decline, although with an overall upward trend. (2) From the perspective of spatial characteristics, the overall spatial pattern had a significant positive correlation. The high values were mainly concentrated in Shandong, Anhui and Jilin, and moved to the northeast China as time went on. (3) In terms of influencing factors, the positive impact of agricultural labor force on the grain production gradually decreased, showing a decreasing trend from southwest to northeast. The promotion of agricultural mechanization on the grain production increased year by year, with the spatial distribution characteristics of high in the northeast and low in the southwest. Besides, the coefficient of water resources endowment was negative, showing a spatial distribution pattern of high north and low south.

BLESSING OR CURSE? THE IMPACTS OF NON-AGRICULTURAL PART-TIME WORK OF THE LARGE FARMER HOUSEHOLDS ON AGRICULTURAL LABOR PRODUCTIVITY

This study analyzes the mechanism of coexistence of non-agricultural part-time work of farmer households and large-scale cultivation of cultivated land, and the effect of non-agricultural part-time work of the large farmer households on the agricultural labor productivity. Results indicate that non-agricultural part-time work of large farmer households promotes the agricultural labor productivity, particularly for those with higher non-agricultural incomes, younger age, higher education level and shorter distance between working places in urban sectors and rural residence. At the mean value of the samples, non-agricultural part-time work of the large farmer households will improve agricultural labor productivity by 27.1%. These results remain consistent after we experiment several robustness checks and the instrumental variable method. Further, it is worth stressing that non-agricultural part-time work inhibits the agricultural production for farmer households with labors less than three, while it exhibits positive effects for those with labors more than three. Finally, analysis of mechanism suggests that non-agricultural part-time work of large farmer households enhances the productivity via entering the agricultural association, increasing farm mechanization degree, and promoting the centralized production and farm management on the transferred farmland. It’s suggestive to maintain total area of the transferred farmland to avoid the reverse effects and then the optimal total cultivated area within the range of (100, 200) Mu. Policy implications of our work are discussed.