Study on the Influencing Factors of Farmers’ Adoption of Conservation Tillage Technology in Black Soil Region in China: A Logistic-ISM Model Approach

Evaluation of emergency drills effectiveness by center of disease prevention and control staff in Heilongjiang Province, China: an empirical study using the logistic-ISM model

Introduction

Emergency drills are critical practices that can improve the preparedness for crisis situations. This study aims to comprehend the evaluation of emergency drill effectiveness by the staff at the Centers for Disease Control and Prevention (CDC) in Heilongjiang Province, China. It identifies potential factors that could influence the personnel's appraisal of outcomes throughout the emergency drill procedure.

Methods

A cross-sectional survey was conducted among public health professionals from various CDCs in Heilongjiang, a northeastern Chinese province. The binary logistic regression analysis identified the factors associated with the CDC staff's assessment of emergency drill efficacy, while the Interpretative Structural Modeling (ISM) elucidated the hierarchical structure among the influencing factors.

Results

53.3% (95% CI = 50.6-55.4) of participants perceived the emergency drills' effectiveness as low. Binary logistic regression analysis revealed that the following adverse factors associated with the emergency drills increased the risk of a lower evaluation: lack of equipment and poor facilities (OR = 2.324, 95% CI = 1.884-2.867), poor training quality (OR = 1.765, 95% CI = 1.445-2.115), low leadership focus (OR = 1.585, 95% CI = 1.275-1.971), insufficient training frequency (OR = 1.539, 95% CI = 1.258-1.882), low skill in designing emergency drill plans (OR = 1.494, 95% CI = 1.180-1.890), lack of funding (OR = 1.407, 95% CI = 1.111-1.781), and poor coordination between departments (OR = 1.335, 95% CI = 1.085-1.641). The ISM revealed the hierarchical relationship of the influential factors, which were classified into three levels: Surface, Middle and Bottom. The Surface Level factors were training frequency, training quality, leaders' focus, and inter-departmental coordination. The Middle Level factors were equipment availability and skill in designing emergency drill plans. The Bottom Level factor was funding guarantee.

Discussion

This survey revealed that over half of the CDC staff rated the effectiveness of public health emergency drills as low. The Logistic-ISM Model results indicated that the evaluation of drill effectiveness was negatively influenced by insufficient facility and equipment support, financial constraints, lack of departmental coordination, and inadequate leadership attention. Among these factors, funding guarantee was the most fundamental one. Therefore, this calls for strategic decisions to increase funding for equipment, leadership training support, and effective emergency coordination.

Study on the influence mechanism of adoption of smart agriculture technology behavior

Smart agricultural (SA) technology has become a technological support for modern agriculture. By exploring the decision-making process and psychological motivation of farmers in adopting SA technology, it is conducive to achieving the popularisation of SA technology and promoting the modernisation of agriculture. Based on microscopic research data, a Structural Equation Model (SEM) is used to analyse the influencing factors and extent of cotton farmers' adoption of SA technologies, using Deconstructive Theory of Planned Behavior (DTPB) as the analytical framework. This was combined with in-depth interviews to further reveal the motivations and influencing mechanisms of cotton farmers' adoption of SA technologies. The results show that under the behavioural belief dimension, cotton farmers value the positive effect of perceived usefulness even though the risk of the technology itself has a dampening effect on adoption intentions. Under the normative belief dimension, superior influence influenced the willingness to adopt SA technologies to a greater extent than peer influence. Under the control belief dimension, factors such as self-efficacy and information channels influence willingness to adopt technology and behaviour. In addition, behavioural attitudes, subjective norms, and perceived behavioural control all contribute to cotton farmers' willingness to adopt SA technologies, and can also influence behaviour directly or indirectly through willingness to adopt. Policy and technology satisfaction positively moderate the transition from willingness to behaviour. Therefore, preferential policies are proposed to reduce the cost of adopting SA technologies; to continuously improve the level of SA technologies; to establish SA technology test plots to provide a reference base; and to increase knowledge training on SA and expand access to information.

Measuring the Cultivated Land Use Efficiency in China: A Super Efficiency MinDS Model Approach

Cultivated land is a vital strategic resource to ensure human survival and development. It is pertinent to introduce the environmental constraint index into the study of cultivated land use efficiency and promote the coordinated development of environmental and economic benefits. Based on the construction of the evaluation index system of cultivated land use efficiency, including carbon emission as the undesired output, this paper used the super efficiency MinDS model to measure the cultivated land use efficiency of China by using the data from 2009 to 2019. The results show the following. (1) During 2009-2019, the overall use efficiency of cultivated land in China showed a tendency to fluctuate and increase, ranging from 0.871 to 0.948, indicating high use efficiency. Eleven provinces had an average land use efficiency of more than 1. (2) Among the input-output indicators, the carbon emission indicator showed the largest average percentage of improvement at 15.21%, followed by the pesticide index and agricultural machinery index, and the smallest average improvement was the irrigation indicator at 3.55%. (3) There were apparent differences in the average relaxation and improvement proportion of input-output indicators of cultivated land use in the provinces. (4) China's cultivated land use efficiency has absolute σ-convergence, absolute β-convergence and conditional β-convergence, which means that the difference in cultivated land use efficiency between provinces has a tendency to decrease, and that China's cultivated land use efficiency will stabilize. This paper provides a clear direction for the promotion and improvement of cultivated land use efficiency in China.

What Influences Farmers' Adoption of Soil Testing and Formulated Fertilization Technology in Black Soil Areas? An Empirical Analysis Based on Logistic-ISM Model

Along with the increasing prominence of environmental risks such as soil surface source pollution and declining quality grade of arable land, the issues of how to address irrational fertilizer application and enhance the safety of agricultural products have attracted widespread attention. In this context, clarifying the main factors affecting farmers' use of soil testing and formulated fertilization technology (STFFT) can further improve the technology adoption rate and fertilizer utilization efficiency, promote standardized agricultural production and maintain the health and stability of soil ecology in black soil areas. This is of great significance to the construction of green agriculture, national dietary health and national food security. This study builds an "external environmental stimuli-perceived characteristics-adoption behavior" theoretical framework to investigate the decision-making and the dynamic influence mechanisms of farmers' adoption behavior of STFFT. Based on farmer survey data, the logistic-ISM model has been applied. The main findings are as follows. First, five types of influencing factors, namely individual characteristics, family characteristics, business characteristics, cognitive characteristics and external environmental characteristics, had significant "push" effects on farmers' STFFT adoption behavior. Among them, planting scale and technical training are the key factors influencing farmers' adoption of scientific fertilizer application technology. Second, both farmers' perceived ease of use and perceived usefulness play a significant role in farmers' decision-making process, and the easier farmers perceive STFFT to be to master and the greater the benefits it brings, the more pronounced the tendency to adopt the technology, all other influencing conditions being equal. Third, the main influencing factors of farmers' STFFT adoption behavior are intrinsically related and divided into four categories based on the magnitude of influence: deep-rooted, medium indirect, shallow indirect and superficial direct. In order to reduce further degradation of black soil caused by farmers' irrational production habits and to improve resource utilization efficiency, this study recommends the government to further regulate the land transfer market, strengthen the propagation of soil-conservation-type technologies in black soil areas, expand the breadth of agricultural technology training and enhance farmers' understanding and trust in STFFT. Thus, the maintenance of soil ecosystem in black soil areas, effective guarantee of food security and sustainable development of agriculture can be achieved.