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Intro -- Preface -- Contents -- About the Authors -- Chapter 1: Introduction -- 1.1 What Is Cybernetics? -- 1.2 Evolution of Cybernetics -- 1.2.1 Cybernetics, Wiener 1948 -- 1.2.2 Engineering Cybernetics, Tsien 1954 -- 1.2.3 Cybernetics Specialization and Advancement -- 1.3 Agricultural Cybernetics -- 1.3.1 Evaluation from Mechanized to Smart Agriculture through Precision Agriculture -- 1.3.2 Control and Communication in Agricultural Production Systems -- 1.4 Outline of the Book -- Chapter 2: Mathematics, Statistics, and Representations for Cybernetic Systems -- 2.1 Mathematical Methods -- 2.1.1 Linear Algebra Methods -- 2.1.1.1 Orthogonal Vector and Orthogonal Matrix -- 2.1.1.2 Eigenvector and Eigenvalue -- 2.1.1.3 Singular Value Decomposition -- 2.1.2 Vector Calculus for Gradient -- 2.1.3 Optimization Techniques -- 2.2 Statistical Methods -- 2.2.1 Bayesian Analysis -- 2.2.2 Markov and Hidden Markov Processes -- 2.3 Information Entropy -- 2.4 Representations of Cybernetic Systems -- 2.4.1 Block Diagram Presentation of Cybernetic Systems -- 2.4.2 Mathematical Expression and Transformations -- 2.4.3 Presentations of Agricultural Cybernetic Systems -- 2.4.4 Basic System Configurations and Analysis -- 2.4.5 More Complicated Configurations -- Chapter 3: Control and Communication Characteristics of Agricultural Production Systems -- 3.1 Mathematical Expression of Agricultural Production Systems -- 3.2 Dynamics of Agricultural Production Systems -- 3.3 Systems Parameters and Measurements in Crop Production -- 3.4 Variations, Uncertainties, and Uncontrollable Factors in Crop Production -- 3.5 Controllable Windows of Crop Production Systems -- 3.6 Multi-Stage, Adaptive Control in Crop Production -- 3.6.1 A Raised Problem -- 3.6.2 Stage-Specific Windows of Control in Crop Production -- 3.6.3 Adaptive Control.

This article uses the "Green Finance Reform and Innovation Pilot Zone" promulgated in 2017 as an example to construct a quasi-natural experiment and uses the difference-in-difference method to test the impact of the implementation of the "Green Finance Reform and Innovation Pilot Zone" on the green innovation activities. It was found that the policy promotes the quantity and quality of corporate green innovation. The mechanism test showed that policy promotes the R&D investment and expands the credit scale. The study further found that green finance policies enhance the green innovation of enterprises as government environmental regulation is strengthened. Finally, green innovation by state-owned enterprises is more strongly promoted in the pilot green finance reform and innovation zones, and green innovation by enterprises in non-polluting sectors is more sensitive to the policy, with a heterogeneous pattern of policy effects in eastern and non-eastern China. Therefore, green finance policies should be promoted to achieve an effective combination of financial resource allocation and corporate green innovation to promote the construction of ecological civilization.

This article uses the "Green Finance Reform and Innovation Pilot Zone" promulgated in 2017 as an example to construct a quasi-natural experiment and uses the difference-in-difference method to test the impact of the implementation of the "Green Finance Reform and Innovation Pilot Zone" on the green innovation activities. It was found that the policy promotes the quantity and quality of corporate green innovation. The mechanism test showed that policy promotes the R&D investment and expands the credit scale. The study further found that green finance policies enhance the green innovation of enterprises as government environmental regulation is strengthened. Finally, green innovation by state-owned enterprises is more strongly promoted in the pilot green finance reform and innovation zones, and green innovation by enterprises in non-polluting sectors is more sensitive to the policy, with a heterogeneous pattern of policy effects in eastern and non-eastern China. Therefore, green finance policies should be promoted to achieve an effective combination of financial resource allocation and corporate green innovation to promote the construction of ecological civilization.

AbstractKnowledge mobilization (KMb) takes a programmatic approach to empower and motivate scholars to connect research with policy‐making through disseminating research to knowledge users, acquiring information from practitioners, and responding to the acquired information. The present study aims to investigate the influence of institutional‐level factors on researchers' KMb activities. One hundred fifty‐five researchers in the field of public administration across China participated in an online survey study. The participants reported their KMb activities, perceived institutional support, and relational capital. The results demonstrate that both the strength of institutional support and relational capital are positively associated with researchers' KMb activities. Moreover, the effect of institutional support tends to be stronger when an institution has more relational capital. The study highlights that research institutions should take programmatic approaches to empower their researchers to be actively involved in the knowledge co‐production process and make a systematic effort at the institutional level to build a well‐developed collaborative network.

Due to concerns about consequences to public health, the ecosystem, the natural landscape etc., the planning and construction of waste incineration plants always gives rise to a reaction and even protests from local communities. This study aims to investigate the determinants affecting public acceptance of waste incinerators. We contribute to the existing knowledge in the following ways: (1) this study undertook a qualitative analysis on community acceptance of nimby facilities in the context of China for the first time ; (2) through qualitative interview analysis, we emphasize the impact of interactions among multiple factors regarding the acceptance of waste incinerators ; (3) we finally construct a framework to systematically explain the formation mechanism of community acceptance of waste incineration plants. Employing in-depth interviews with 22 representative residents, the results indicate that from the perspective of externality, risk perception has a significant negative impact, whereas the effects of benefit perception are positive. In terms of interaction between government and citizen, both justice perception and political efficacy are positive. Social situational factors positively promote community acceptance. Lastly, the impact of individual cognition is mixed. This study has the potential to make a significant difference in better community governance and environment-friendly cities.

Due to concerns about consequences to public health, the ecosystem, the natural landscape etc., the planning and construction of waste incineration plants always gives rise to a reaction and even protests from local communities. This study aims to investigate the determinants affecting public acceptance of waste incinerators. We contribute to the existing knowledge in the following ways: (1) this study undertook a qualitative analysis on community acceptance of nimby facilities in the context of China for the first time; (2) through qualitative interview analysis, we emphasize the impact of interactions among multiple factors regarding the acceptance of waste incinerators; (3) we finally construct a framework to systematically explain the formation mechanism of community acceptance of waste incineration plants. Employing in-depth interviews with 22 representative residents, the results indicate that from the perspective of externality, risk perception has a significant negative impact, whereas the effects of benefit perception are positive. In terms of interaction between government and citizen, both justice perception and political efficacy are positive. Social situational factors positively promote community acceptance. Lastly, the impact of individual cognition is mixed. This study has the potential to make a significant difference in better community governance and environment-friendly cities.