124 research outputs found
ΠΠ΅ΡΠΎΠ΄ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΡΠΊΡΡΡΡΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠΈΠ½Π°ΠΏΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π΄Π°Π½Π½ΡΡ ΠΈΠ½Π³ΠΈΠ±ΠΈΡΠΎΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°
Nowadays neuroscience strongly demands application of the mathematical methods for description of many neurophysiological and neurochemical processes among which the synaptic transmission outstands. One of the main problems in synaptic transmission modelling is the lack of the accurate values of dynamic parameters of biomolecules and complexes taking part in this process.The goal of this study is to elaborate the method for evaluation of synaptic transmission parameters that cannot be measured directly (so-called hidden parameters) and apply its results for investigation of the main stages of synaptic transmission in neuronets of hippocampus.The method is based on the parametric identification of the synaptic transmission deterministic model, which includes equations for description of inhibitors action on the main biochemical participants. We used three inhibitors: cilnidipine, 1.2-Β Β Β Β Β Β Β bis(2-aminophenoxy)ethane-N,N,N',N'-tetraacetic acid tetrakis(acetoxymethyl ester) (BAPTA-AM), 6-cyano-7-nitroquinoxaline-2,3-dione (CNQX). The parametric identification was performed by minimization of deviation of modeled field excitatory postsynaptic potential from those measured in rat hippocampus slices with microelectrode technique when inhibitors were applied.The results of the parametric identification of proposed model show that the model can adequately describe the generation of field excitatory postsynaptic potentials and their inhibition. The elaborated method afforded to evaluate the numerical meanings of eleven synaptic transmission hidden parameters. Using these parameters we have modelled the key synaptic transmission stages and got the time courses of the main biochemical participants: calcium ions in presynaptic bouton, SNARE complexes, synaptic vesicles in different states, glutamate in the synaptic cleft and open channels of AMPA receptor on the postsynaptic membrane. Thus, we propose method of hidden parameters evaluation that can be applied for different synaptic contacts in the brain of mammalians.ΠΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ ΡΠΈΠ³Π½Π°Π»Π° Π² ΡΠΈΠ½Π°ΠΏΡΠ°Ρ
ΠΎΡΠΊΡΡΠ²Π°Π΅Ρ ΡΠΈΡΠΎΠΊΠΈΠ΅ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ Π² ΠΈΠ·ΡΡΠ΅Π½ΠΈΠΈ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡ ΡΠΎΠ±ΡΠ°ΡΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΌΠ½ΠΎΠ³ΠΎΡΠΈΡΠ»Π΅Π½Π½ΡΡ
ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π² Π΅Π΄ΠΈΠ½ΡΡ ΠΌΠΎΠ΄Π΅Π»Ρ. Π‘ΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ Π·Π°ΡΡΡΠ΄Π½Π΅Π½ΠΈΡ ΠΏΡΠΈ ΡΠ°ΠΊΠΎΠΌ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π΅ Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡΡ Π²ΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠ΅ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΠΌΠ½ΠΎΠ³ΠΎΡΡΠ°ΠΏΠ½ΠΎΡΡΠΈ ΡΠΈΠ½Π°ΠΏΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ, Π½ΠΎ ΠΈ ΠΎΡΡΡΡΡΡΠ²ΠΈΡ ΡΠΎΡΠ½ΡΡ
ΡΠΈΡΠ»Π΅Π½Π½ΡΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΌΠ½ΠΎΠ³ΠΈΡ
Π΅Π΅ ΡΡΠ°ΡΡΠ½ΠΈΠΊΠΎΠ².Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ - ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°ΡΡ ΠΌΠ΅ΡΠΎΠ΄ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠΈΠ½Π°ΠΏΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ, Π½Π΅Π΄ΠΎΡΡΡΠΏΠ½ΡΡ
Π΄Π»Ρ ΠΏΡΡΠΌΠΎΠ³ΠΎ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ (ΡΠΊΡΡΡΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ²), ΠΈ Π°ΠΏΡΠΎΠ±ΠΈΡΠΎΠ²Π°ΡΡ Π΅Π³ΠΎ Π² ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΡΡΠ°ΠΏΠΎΠ² Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° Π² Π½Π΅ΠΉΡΠΎΠ½Π½ΡΡ
ΡΠ΅ΡΡΡ
Π³ΠΈΠΏΠΏΠΎΠΊΠ°ΠΌΠΏΠ°.ΠΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌΡΠΉ Π² Π΄Π°Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄ ΠΎΡΠ½ΠΎΠ²Π°Π½ Π½Π° ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠΈ Π΄Π΅ΡΠ΅ΡΠΌΠΈΠ½ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΠΎΠΏΠΈΡΡΠ²Π°ΡΡΠ΅ΠΉ Π³Π΅Π½Π΅ΡΠ°ΡΠΈΡ ΠΏΠΎΠ»Π΅Π²ΠΎΠ³ΠΎ Π²ΠΎΠ·Π±ΡΠΆΠ΄Π°ΡΡΠ΅Π³ΠΎ ΠΏΠΎΡΡΡΠΈΠ½Π°ΠΏΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΈΠ½Π³ΠΈΠ±ΠΈΡΠΎΡΠΎΠ² (ΡΠΈΠ»Π½ΠΈΠ΄ΠΈΠΏΠΈΠ½Π°, 1.2-Β Π±ΠΈΡ(2-Π°ΠΌΠΈΠ½ΠΎΡΠ΅Π½ΠΎΠΊΡΠΈ) ΡΡΠ°Π½- N,N,Nβ²,Nβ² ΡΠ΅ΡΡΠ°ΡΠΊΡΡΡΠ½ΠΎΠΉ ΠΊΠΈΡΠ»ΠΎΡΡ ΡΠ΅ΡΡΠ°ΠΊΠΈΡ(Π°ΡΠ΅ΡΠΎΠΊΡΠΈΠΌΠ΅ΡΠΈΠ»ΠΎΠ²ΠΎΠ³ΠΎ ΡΡΠΈΡΠ°), 6-ΡΠΈΠ°Π½ΠΎ-7-Π½ΠΈ-ΡΡΠΎΠΊΠΈΠ½ΠΎΠΊΡΠ°Π»ΠΈΠ½-2,3-Π΄ΠΈΠΎΠ½Π°), ΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ Π΄Π°Π½Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π½Π° Π·Π°ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΌΠΈΠΊΡΠΎΡΠ»Π΅ΠΊΡΡΠΎΠ΄Π½ΠΎΠΉ ΡΠ΅Ρ
Π½ΠΈΠΊΠΈ ΠΏΠΎΠ»Π΅Π²ΡΡ
Π²ΠΎΠ·Π±ΡΠΆΠ΄Π°ΡΡΠΈΡ
ΠΏΠΎΡΡΡΠΈΠ½Π°ΠΏΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π°Ρ
Π² ΡΡΠ΅Π·Π°Ρ
Π³ΠΈΠΏΠΏΠΎΠΊΠ°ΠΌΠΏΠ° ΠΊΡΡΡΡ. ΠΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»Π°ΡΡ ΠΏΡΡΠ΅ΠΌ ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ ΠΎΡΠΊΠ»ΠΎΠ½Π΅Π½ΠΈΡ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΡΠ΅ΠΌΠΎΠ³ΠΎ ΡΠΈΠ³Π½Π°Π»Π° ΠΎΡ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΎ Π·Π°ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ. ΠΠ»Ρ ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ ΡΠ΅Π»Π΅Π²ΠΎΠΉ ΡΡΠ½ΠΊΡΠΈΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈ Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π»Π³ΠΎΡΠΈΡΠΌ.Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ»ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Ρ Π²ΡΡΠΎΠΊΠΎΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΡΡ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΡ Π²ΠΎΡΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΡ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΠ»Π΅Π²ΡΡ
Π²ΠΎΠ·Π±ΡΠΆΠ΄Π°ΡΡΠΈΡ
ΠΏΠΎΡΡΡΠΈΠ½Π°ΠΏΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΠΎΠ² ΠΈ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅ΠΌΠΎΠ΅ Π½Π° Π½ΠΈΡ
Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ ΠΈΠ½Π³ΠΈΠ±ΠΈΡΠΎΡΠΎΠ². Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Ρ ΡΠΈΡΠ»Π΅Π½Π½ΡΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΠΎΠ΄ΠΈΠ½Π½Π°Π΄ΡΠ°ΡΠΈ ΡΠΊΡΡΡΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠΈΠ½Π°ΠΏΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ. Π‘ ΠΏΠΎΠΌΠΎΡΡΡ Π΄Π°Π½Π½ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΠΊΠ»ΡΡΠ΅Π²ΡΡ
ΡΡΠ°ΡΡΠ½ΠΈΠΊΠΎΠ² ΡΠΈΠ½Π°ΠΏΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ: ΠΈΠΎΠ½ΠΎΠ² Ca2+ Π² ΠΏΡΠ΅ΡΠΈΠ½Π°ΠΏΡΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΎΠΊΠΎΠ½ΡΠ°Π½ΠΈΠΈ, SNARE-ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠΎΠ², ΡΠΈΠ½Π°ΠΏΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π²Π΅Π·ΠΈΠΊΡΠ» Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠΎΡΡΠΎΡΠ½ΠΈΡΡ
, Π³Π»ΡΡΠ°ΠΌΠ°ΡΠ° Π² ΡΠΈΠ½Π°ΠΏΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Π»ΠΈ, Π΄ΠΎΠ»ΠΈ ΠΎΡΠΊΡΡΡΡΡ
ΠΊΠ°Π½Π°Π»ΠΎΠ² ΠΠΠ Π-ΡΠ΅ΡΠ΅ΠΏΡΠΎΡΠΎΠ² Π½Π° ΠΏΠΎΡΡΡΠΈΠ½Π°ΠΏΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½Π΅. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΠΌΠ΅ΡΠΎΠ΄, ΠΊΠΎΡΠΎΡΡΠΉ ΡΠ΅Π»Π΅ΡΠΎΠΎΠ±ΡΠ°Π·Π½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ Π΄Π»Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΡΠΊΡΡΡΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠΈΠΏΠΎΠ² ΡΠΈΠ½Π°ΠΏΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΊΠΎΠ½ΡΠ°ΠΊΡΠΎΠ² Π² Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠΌ ΠΌΠΎΠ·Π³Π΅ ΠΌΠ»Π΅ΠΊΠΎΠΏΠΈΡΠ°ΡΡΠΈΡ
Hawk Eyes II: Diurnal Raptors Differ in Head Movement Strategies When Scanning from Perches
Background
Relatively little is known about the degree of inter-specific variability in visual scanning strategies in species with laterally placed eyes (e.g., birds). This is relevant because many species detect prey while perching; therefore, head movement behavior may be an indicator of prey detection rate, a central parameter in foraging models. We studied head movement strategies in three diurnal raptors belonging to the Accipitridae and Falconidae families. Methodology/Principal Findings
We used behavioral recording of individuals under field and captive conditions to calculate the rate of two types of head movements and the interval between consecutive head movements. Cooper\u27s Hawks had the highest rate of regular head movements, which can facilitate tracking prey items in the visually cluttered environment they inhabit (e.g., forested habitats). On the other hand, Red-tailed Hawks showed long intervals between consecutive head movements, which is consistent with prey searching in less visually obstructed environments (e.g., open habitats) and with detecting prey movement from a distance with their central foveae. Finally, American Kestrels have the highest rates of translational head movements (vertical or frontal displacements of the head keeping the bill in the same direction), which have been associated with depth perception through motion parallax. Higher translational head movement rates may be a strategy to compensate for the reduced degree of eye movement of this species. Conclusions
Cooper\u27s Hawks, Red-tailed Hawks, and American Kestrels use both regular and translational head movements, but to different extents. We conclude that these diurnal raptors have species-specific strategies to gather visual information while perching. These strategies may optimize prey search and detection with different visual systems in habitat types with different degrees of visual obstruction
Hawk Eyes I: Diurnal Raptors Differ in Visual Fields and Degree of Eye Movement
BACKGROUND: Different strategies to search and detect prey may place specific demands on sensory modalities. We studied visual field configuration, degree of eye movement, and orbit orientation in three diurnal raptors belonging to the Accipitridae and Falconidae families. METHODOLOGY/PRINCIPAL FINDINGS: We used an ophthalmoscopic reflex technique and an integrated 3D digitizer system. We found inter-specific variation in visual field configuration and degree of eye movement, but not in orbit orientation. Red-tailed Hawks have relatively small binocular areas (βΌ33Β°) and wide blind areas (βΌ82Β°), but intermediate degree of eye movement (βΌ5Β°), which underscores the importance of lateral vision rather than binocular vision to scan for distant prey in open areas. Cooper's Hawks' have relatively wide binocular fields (βΌ36Β°), small blind areas (βΌ60Β°), and high degree of eye movement (βΌ8Β°), which may increase visual coverage and enhance prey detection in closed habitats. Additionally, we found that Cooper's Hawks can visually inspect the items held in the tip of the bill, which may facilitate food handling. American Kestrels have intermediate-sized binocular and lateral areas that may be used in prey detection at different distances through stereopsis and motion parallax; whereas the low degree eye movement (βΌ1Β°) may help stabilize the image when hovering above prey before an attack. CONCLUSIONS: We conclude that: (a) there are between-species differences in visual field configuration in these diurnal raptors; (b) these differences are consistent with prey searching strategies and degree of visual obstruction in the environment (e.g., open and closed habitats); (c) variations in the degree of eye movement between species appear associated with foraging strategies; and (d) the size of the binocular and blind areas in hawks can vary substantially due to eye movements. Inter-specific variation in visual fields and eye movements can influence behavioral strategies to visually search for and track prey while perching
Political Capitalism: The Interaction between Income Inequality, Economic Freedom and Democracy
In this contribution we study the relationship between income inequality and economic freedom for a panel of 100 countries for the 1971-2010 period. From a panel causality study we find that income inequality has a negative causal effect on economic freedom, while causation does not run in the opposite direction. We argue that the negative effect of inequality on economic liberty is due to the eliteβs political power stemming from its disproportionate control over a countryβs economic resources. The elite uses this power to curtail economic freedom to defend its economic interests by discouraging innovation, competition and protecting its rents. Running a series of dynamic panel estimations, we show that the negative effect of income inequality on economic freedom is robust to different sets of controls and estimation techniques. Finally, we show that the dynamics of the inequality-freedom nexus are to some extent conditional upon a countryβs political regime. When inequality is low, democracies enjoy comparatively higher levels of economic liberty, in line with the interests of a large middle-class. By contrast, economic freedom is lower in democracies (compared to strongly autocratic regimes with the same income distribution) when inequality is high. We argue that the latter finding corresponds to a system of political capitalism or captured democracy, where a powerful economic elite cooperates with politicians and bureaucrats for their mutual benefit
Environmentalism in the EU-28 context: the impact of governance quality on environmental energy efficiency
Environmental policies are a significant cornerstone of a developed economy, but the question that arises is whether such policies lead to a sustainable growth path. It is clear that the energy sector plays a pivotal role in environmental policies, and although the current literature has focused on examining the link between energy consumption and economic growth through an abundance of studies, it does not explicitly consider the role of institutional or governance quality variables in the process. Both globalization and democracy are important drivers of sustainability, while environmentalism is essential for the objective of gaining a βbetter world.β Governance quality is expected to be the key, not only for economic purposes but also for the efficiency of environmental policies. To that end, the analysis in this paper explores the link between governance quality and energy efficiency for the EU-28 countries, spanning the period 1995 to 2014. The findings document that there is a nexus between energy efficiency and income they move together: the most efficient countries are in the group with higher GDP per capita. Furthermore, the results show that governance quality is an important driver of energy efficiency and, hence, of environmental policies.University of Granad
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