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Distinguishing between mental and non-mental phenomena requires clear marks. This article examines one perspective on the marks of the mental phenomena. Tuomas K. Pernu offers a "cluster" approach to identifying the marks of the mental phenomena. To differentiate between mental and physical phenomena, which serves as his guide in identifying mental characteristics, Pernu introduces the notions of intentionality, consciousness, free will, teleology, and normativity. After presenting Pernu’s view, this article critically examines his approach. The relationship of this perspective to essentialistic investigations of the mind is assessed, and several questions and critiques regarding his view are raised and addressed. Pernu’s proposed list is deemed incomplete. Furthermore, the article examines how the last three marks on Pernu’s list can be understood as characteristics of mental phenomena. Finally, a methodological proposal is presented to refine the process of discovering the features of mental states.
 

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Households need to have a smooth level of consumption in order to maximize their utility. Among the factors influencing consumption smoothing are: the existence of a perfect capital market, lack of liquidity constraints and access to financial resources, so that individuals are able to borrow and lend in order to prevent their income and consumption fluctuations. This paper attempts to investigate the excess sensitivity of household consumption with emphasis on liquidity constraints in Iran using panel data related to two recessionary periods of 2013-2015 and the pre-recessionary period of 2010-2012. The results show that the excess sensitivity of consumption to current income is significant. This finding rejects the permanent income hypothesis based on rational expectations in Iran. The asymmetric impacts of the positive and negative growth rates of income on consumption confirm the liquidity constraints of households. Identification of the socioeconomic characteristics of households with higher sensitivity, especially during the recession of 2013-2014, suggests that households without access to or inadequate access to bank loans, the elderly-headed households, families headed by non-governmental employees, low-income and rural households are more sensitive to income in comparison to the other households.
 

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Along with the increased trade integration of countries and the expansion of international production fragmentation, Global Value Chains (GVCs) amount to a huge part of trade today, and participation in a network of trade partners at downstream and upstream of the value chains brings about considerable potentials such as the improvement of the flow of knowledge and more advanced production technologies and techniques, particularly for developing countries. It would not be unexpected for GVCs and participating in them from an environmental aspect to have potential benefits for countries as well.
In this regard, the present study discusses the role that GVCs play in countries' environmental performance. For this purpose, a sample of 65 developing and 36 developed countries was investigated using spatial panel data econometrics, conditional convergence, spatial auto-correlation, and GVCs participation spillover and direct impacts for countries in the form of south-south, north-south, and north-north bilateral added-value trade. The results indicated that there was spatial auto-correlation and conditional convergence based on GVCs for all countries although they are more intense in the case of north-north trade in developed countries. Besides, participation in GVCs has spillover impacts on the trading partner countries if developed countries are included in the bilateral value-added trade but this impact is not statistically acceptable in south-south trade of developing countries according to estimations. Thus, establishing trading relations with developed countries through GVCs is a potentially beneficial policy to improve developing countries’ environmental performance.