Scientific publications

Forecasting hotel occupancy during external shocks is particularly challenging due to their disruptive effects. This study develops a forecasting framework that integrates multisource data using a time-varying parameter state-space model (TVP-SSM). In this framework, search engine data (SED) are used to construct exogenous variables, intervention variables are used to reflect the severity of external shocks, and holiday and weekend dummy variables are used to capture the seasonal effect.

Purpose – The prices and rents of land depend on its marginal productivity and a number of other factors (the range of economic and policy-related factors). Significant changes in the European Union (EU) agricultural policy and changes in productivity models in recent years have influenced land market dynamics. To properly understand the dynamics in the land market and relate it to changes in agricultural production and policy, it is important to establish a multi-factor model that would allow the main factors determining changes in land rental prices in the EU to be assessed.

This paper presents a novel hybrid methodology combining the COPRAS and TOPSIS multi-criteria decision-making (MCDM) approaches with gradient vector field analysis to identify strategic pathways for socio-economic development across BRICS countries (Brazil, Russia, India, China, and South Africa). By leveraging weighted Positive Ideal Solutions (PIS) and gradient directions, the study evaluates the contribution of 31 socioeconomic criteria to utility maximization at the national level.

Exploring the coupling coordination degree (CCD) of the energy-economy-environment-society (3E1S) system is crucial for achieving sustainable regional development. This study develops an evaluation index system for the 3E1S system’s CCD, by comprehensively considering the factors of energy transition, high-quality economic development, environmental protection, and social progress from an energy transition perspective. The CCD model is applied to assess the CCD of the 3E1S system across 280 cities and four regions in China from 2005 to 2021. Additionally, spatial correlation analysis elucidates the spatiotemporal evolution characteristics of the CCD in China’s urban 3E1S system, and its main influencing factors are discussed.

The sponge city pilot policy (SCPP) launched by the Chinese government is a forward-looking measure that takes into account both urban development and environmental protection. This study uses data from 284 Chinese cities spanning the period from 2007 to 2023 and employs the difference-indifferences (DID) method to examine the impact of the SCPP on urban ecological resilience (UER).

Financial instability has continued to unleash unparalleled challenges upon public listed agricultural food companies in Lithuania. Food supply chains experienced disruptions, consumer demand waned and the economy endured a downturn. Major public listed agricultural food companies confronted declines in total assets and book value of total assets as the pandemic disrupted their operations and eroded revenues. While the government supportive measures have provided relief, challenges such as soaring energy prices and inflation persist, consequently hindering investment in the agricultural food companies in Lithuania.

Forest bathing has gained growing attention for its psychological and physiological benefits; however, its economic dimension remains underexplored. This study addresses this gap by examining the relationships between forest bathers' socio-demographic and behavioral characteristics and their economic impact. The research was conducted on two forest trails in Lithuania, namely “Along the Lakes through Ethnographic Villages” and “Getting to Know Kazlų Rūda and Ažuolai Būda.”

As global energy demand continues to rise and geopolitical uncertainties intensify, developing renewable energy has emerged as a crucial strategic approach to enhancing national and regional energy security. Adopting an energy saving and emission reduction fiscal policy is a vital strategy to accelerate green transformation and promote renewable energy utilization. However, empirical examination of the impact of this type of policy on renewable energy development is nonexistent. This study is the first to systematically investigate how this policy influences renewable energy development using a staggered difference-in-differences model.

Agriculture is undergoing a shift driven by the need to address sustainability challenges linked to environmental degradation, resource inefficiency, and uneven technological access across farm structures. This study examines how the twin transformation is defined as the concurrent adoption of digital technologies and ecological practices and supports the development of a sustainable bioeconomy.

The development of urban public transportation (UPT) is an important component of sustainable production and consumption. This paper constructs an optimal UPT structure model based on multi-objective constraints including traffic supply and demand, external environment, and travel experience. Taking 12 Chinese cities as samples, this study calculates the optimal proportion of UPT travel under existing urban traffic conditions.