The framework recently proposed by Nieto-García et al. (2023) presents a provocative critique of tourism research, identifying “researcher myopia” as a systematic failure to measure actual behavior. This commentary, through empirical validation with a large-scale tourism monitoring project, reveals the limitations of stated intentions, and highlights the necessity of behavioral measurement (i.e., Real Data) as a foundation for effective tourism policy.
Recent discussions on the future of European Union governance highlight a growing
emphasis on integrated policy frameworks that align agricultural, territorial, and socioeconomic
development objectives within unified strategic planning systems. One of the
proposed innovations for the next EU programming period is the introduction of National
and Regional Partnership Plans (NRPPs), which aim to coordinate several EU funding
instruments within a single national planning framework.
Green credit is a financial tool stimulating environmental protection by allocating credit funds for cleaner and
energy-efficient activities. However, the mechanisms of credit allocation can affect the effectiveness of green
credit. This study discusses the concepts of lending discrimination and endogenous clean technology based on the
economic growth model with environmental constraints. This allows explaining the mechanism through which
lending discrimination and green innovation influence the effect of green credit on (reduction of) environmental
impact.
2026-04-08
Abstract
This paper examines how rural development support was associated with changes in
Lithuania’s agri-food sector between 2000 and 2025 across successive Common Agricultural
Policy (CAP) programming periods. Integrating complementary theoretical perspectives,
the study assesses whether policy interventions were linked to structural transformation,
market upgrading, partial innovation deepening, and sustainability-oriented change, or
whether they primarily reinforced existing agri-food development paths.
This study investigates whether digital technology adoption can drive both sustainable financial performance and enhanced corporate energy efficiency, which has received limited attention in previous research. Grounded in dynamic capability theory and upper echelons theory, and utilizing a two-way fixed-effects regression model, this study analyzes panel data from publicly listed Chinese firms from 2010 to 2022. We assess the “win–win” potential of digital technology adoption on financial and energy outcomes, with a focus on the moderating role of chief digital officers.
Given that structural efficiency serves as a significant instrument, this paper applies a novel approach to measure structural efficiency levels within Chinese banks from the perspective of potential improvement. To further investigate the patterns of structural efficiency, the overall structural efficiency is disaggregated into a series of variable-specific structural efficiencies. It reveals that fixed assets and non-interest incomes constitute the primary sources of structural inefficiency during the study period.
Renewable energy investment evaluation continues to rely predominantly on technoeconomic
and environmental criteria, while equity-related considerations remain weakly
embedded within formal decision-support frameworks. Although recent research increasingly
acknowledges social impacts, spatial constraints, policy uncertainty, and financing
structures, these dimensions are rarely integrated in a systematic and operational manner
into investment appraisal.
Despite the practical relevance of many tourism research studies, organizations and policymakers often struggle to integrate them due to time constraints, language barriers, limited resources, and interaction challenges. Generative artificial intelligence (GenAI) offers new capabilities to overcome these barriers. We propose a GenAIenabled knowledge translation process with three stages: (i) research curation to identify and translate relevant literature; (ii) content creation to produce materials; and (iii) market research using synthetic guests to pre-test
their effectiveness.
Benefit of the doubt (BoD) models are widely used for multicriteria analysis. A BoD model allows the weights of
criteria to vary across observations based on the observed data; however, this can reduce the discriminatory
power and induce rank reversal. The common weight BoD was developed to mitigate these issues at the expense
of the “benefit of the doubt” itself because a degree of weight flexibility is lost.
Reducing energy consumption and improving energy efficiency are particularly important
for mitigating climate change. The main motives for saving energy and improving
energy efficiency are economic and environmental. It is also necessary to implement the
environmental policy. Thus, this paper aims to analyse attitudes towards ecological policy
and the impact of economic and environmental factors on energy consumption and energy
efficiency behaviours in European Union (EU) countries in 2022.