Climate change is persistently causing adverse effects to the agriculture sector of developing countries, specifically in Asia. Pakistan is no exception to this effect and is ranked among the top 10 countries, which are most vulnerable to climate change. A huge upcoming challenge is to sustain an equilibrium among production and environmental protection. In this context, adaptation to climate change is considered as a win-win strategy for agriculture sectors in developing countries. However, numerous studies have focused on current farm-level adaptation while a scant interest has been shown on the role of physiological factors in the process of shaping small livestock herders' intentions towards environmental enrichment measures. A possible explanation of their lagging intentions is particular significance as they may comply with requisite climate adaptation measures or not. For deeper understanding, the current study investigates different psychological factors that affect the small livestock herder's intentions on adopting climate smart practices by using theory of planned behavior (TPB) with additional constructs (moral norms, risk perception, and social attributes). To this end, 405 small livestock herders from Punjab, Pakistan, were selected on the basis of multistage random sampling. The results of structural equation model showed that all constructs accounted for 57% of the variances in small livestock herders' adoption intentions. The outcome of this research offers a new indication regarding the interrelationship of numerous variables which are crucial to understand behavioral changes and psychological interventions. Overall attitude was the most prominent construct in the extended TPB model, which is mainly influenced by risk perception awareness. The results suggest that veterinary experts and extension agents should focus on psychological factors to explore different prospects to increase the involvement of livestock herders in environmental enrichment measures with little effort rather than tackling with traditional practices because it will be more likely to affect people's consideration of the external obstructions to act. Findings also offer public and private intervention for enabling technical and policy environment and strengthen social networks to keep livestock herders on track of updates of running government policies to ensure them to adopt climate change measures for their prosperous future.

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Eradicating poverty is a strategic priority in the pursuit of Sustainable Development Goals. This study intends to identify and quantify the elements affecting the Characteristic Agriculture Development (CAD) project implemented in area of Chinese poverty and reveals the interrelationships between those elements. First-hand data for the structural modeling were collected through semi-structured interviews with a group of selected experts. As a result, this study has identified seventeen representative elements, and the interrelationships between them have been examined based on the Interpretive Structural Modeling (ISM) method. Furthermore, these elements were further categorized into four categories depending on their driving power and dependence power by using the cross-impact matrix multiplication applied to classification (MICMAC) analysis. The combination result of the elements identification, ISM modeling and MICMAC analysis provide a conceptual framework for designing, implementing, and managing CAD projects conducted in rural China. Finally, we suggest that an appropriate approach should be applied to empower the poor, promote target group participation, optimize the regional agriculture structure, and increase the agro value chain competiveness in CAD project implementation.

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