Quantitative evaluation of China’s cultivated land protection policies based on the PMC-Index model

Kuang, Bing; Jing, Han; Lu, Xinhai; Zhang, Xupeng; Fan, Xiangyu

doi:10.1016/j.landusepol.2020.105062

Cited by 94 publications

(53 citation statements)

References 43 publications

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“…Li et al [15] used the PMC-Index model to quantitatively evaluate policies about China's pork industry. Scholars Kuang [52] and Peng [16] verified that the PMC-Index model could be applied to study China's long-term care insurance policy and farmland protection policy, showing strong practical application value.…”

Section: Literature Reviewmentioning

confidence: 97%

How Effective Is the Green Development Policy of China’s Yangtze River Economic Belt? A Quantitative Evaluation Based on the PMC-Index Model

Dai

Zhang

Zong

et al. 2021

IJERPH

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Although many countries around the world, especially China, highlight the strategy of green development, there has been little research evaluating the effectiveness of green development policies in local area. This study explores 16 policy texts with the theme of green development in the Yangtze River Economic Belt in China. Using the Policy Modeling Consistency Index (PMC-Index) model, the paper establishes a multi-input–output policy table and scientifically and systematically evaluates these policies. The results show that the average PMC index of the 16 policy texts is 6.83, indicating a high overall quality of policy texts. The index identifies two states of policy effectiveness as being good and excellent; 50% of the total texts fall into these categories and do not fall into the category of having a low level of policy effectiveness. Five indicators, including policy timeliness, social benefits, policy audience scope, and incentives and constraints, significantly impact the PMC-Index of the policy. Six representative policy samples were selected and analyzed. The advantages and disadvantages of the policy can be more fully understood by the degree of depression of the PMC’s three-dimensional curved surface (PMC-Surface) model. Finally, the paper provides theoretical recommendations for the optimization of the green development policies.

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Section: Literature Reviewmentioning

confidence: 97%

How Effective Is the Green Development Policy of China’s Yangtze River Economic Belt? A Quantitative Evaluation Based on the PMC-Index Model

Dai

Zhang

Zong

et al. 2021

IJERPH

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“…Policy documents, reflecting governments’ decisions, have become analytical objects increasingly used in many topics of policy research, such as policy topics evolution [ 56 ], policy change [ 16 ], policy diffusion [ 57 ], and policy evaluation [ 58 ]. On the basis of policy documents, scholars have developed a unique research method by drawing on content analysis and text analysis, which is generally called policy document analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

Characterizing the Dynamic Evolution of Interagency Collaborative Decision-Making Networks in Response to COVID-19 in China: A Policy Document Analysis

Cheng

Zheng

et al. 2022

Healthcare

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Collaborative decision-making across multiple government agencies is considered a critical and effective strategy to combat public health crisis; however, we know little about how the collaborative decision-making works and evolves during periods of crisis. To fill this lacuna, this study uncovers the structure and evolving dynamics of the network by employing a policy document analysis. Based on the policy documents, jointly issued by the agencies of Chinese central government in four phases regarding COVID-19 control, we first constructed a co-occurrence matrix of policy-issuing agencies to outline the network structure, then drew a breadth–depth matrix to identify the role evolution of agencies, and lastly built a two-mode network consisting of policy topics and agencies to determine the evolution mechanisms of policy attentions for each agency. It was found that the network structure of interagency collaboration involves three forms: discrete structure in the early phase, subgroup structure in the middle phase, and connected structure in the latter phase. Agencies embedded in the network can be categorized into three types: leading agencies, key agencies, and auxiliary agencies, with their constituent members changed as the pandemic risks are gradually becoming under control. Furthermore, each type has its own primary policy attentions, but shares some common foci in all four phases and shifts attention in the emergency management process. This study contributes to shedding light on the formation of and variations in collaborative networks in health emergencies and provides policy implications for other countries that have struggled against COVID-19.

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“…As an external factor, policy tools will directly act on the agent's perceptions, thereby changing the knowledge base of the farmer. In the context of information-induced policy tools, the government provides technical information to farmers through demonstration, publicity, education, etc., which can enhance farmers' technical awareness and farmland protection awareness, and achieve the purpose of promoting technology [23,24]. They can provide farmers with technical information.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…The results show that farmer behavior is affected by internal characteristics and external key factors [17][18][19][20]. In terms of policy tools, scholars often study the impact of policy tools on macro land use changes [21][22][23][24] or explore a specific incentive policy [25][26][27][28]; some scholars also research the effect of policy stimuli, proving that policies can effectively stimulate farmers' behavior [14,22,27,28]. In terms of the use of research methods, generally, simple linear regression models such as logistic regression [29] or structural equation models [30] are used for quantitative analysis.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Policy Tools’ Effects on Farmers’ Adoption of Conservation Tillage Technology: An Empirical Analysis in China

Liu

Gao

et al. 2021

Land

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Conservation tillage technology (CTT) provides a new solution to the problem of cultivated land protection. Using effective policy tools to ensure that farmers adopt conservation tillage technology is crucial to the sustainable utilization of cultivated land resources and the development of agricultural modernization. This study aims to explore the decision-making and the dynamic influence mechanism involved in using policy tools to influence farmers’ technology adoption behaviors by constructing a theoretical framework. Based on survey data of farmers in Liaoning Province, China, the Agent Belief–Desire–Intention (BDI) model is applied. The results show that the implementation of policy tools promotes farmers’ adoption of CTT, but different types of policy tools have different impacts on the decision-making behavior of farmers; a change in the intensity of the policy tools will also cause differences in farmers’ behavioral responses. In addition, policy tools must be implemented in a timely manner, as the number of farmers adopting CTT reaches the maximum within 2-3 years. Based on the above research results, in order to effectively promote farmers’ adoption of CTT, the government should pay attention to the role of information-inducing policy and set flexible policy subsidies and punishment standards.

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Quantitative evaluation of China’s cultivated land protection policies based on the PMC-Index model

Cited by 94 publications

References 43 publications

How Effective Is the Green Development Policy of China’s Yangtze River Economic Belt? A Quantitative Evaluation Based on the PMC-Index Model

How Effective Is the Green Development Policy of China’s Yangtze River Economic Belt? A Quantitative Evaluation Based on the PMC-Index Model

Characterizing the Dynamic Evolution of Interagency Collaborative Decision-Making Networks in Response to COVID-19 in China: A Policy Document Analysis

Simulation of Policy Tools’ Effects on Farmers’ Adoption of Conservation Tillage Technology: An Empirical Analysis in China

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