Promoting green and low-carbon development in agriculture is the key to achieving high-quality development, in
which financial expenditure on agriculture is an essential means to support its green development. This study
first estimates the green productivity of twenty corn-growing provinces by the by-production model with
Luenberger total factor productivity indicator in China from 2004 to 2018. Then the impact of fiscal spending on
its green productivity growth and its mechanism are investigated by the econometric models
A rapidly expanding field, sustainable agriculture aims to produce food and energy for
people today and future generations. The sustainability concept is different in every field; thus, the indicators are unique in any area and country. Sustainable agriculture contains three main dimensions: economic, environmental, and social. Sustainable agriculture has been the focus of researchers for the past twenty-five years and has attracted much attention.
The examination of “smart” growth in various economic and societal development areas and contexts has spread around the globe, in both scientific and policy discourse, with a recent focus on transformations concerning “smart” green growth, “smart” regional development, and green transformation, including “smart” villages. However, until recently, much confusion has existed regarding different understandings of “smartness” for different communities in different contexts.
The development of climate-smart agriculture (CSA) is crucial in ensuring the creation of a low-carbon society and mitigation of climate change. These tasks require concerted actions from multiple stakeholders since the very concept of CSA is rather complex and requires multi-dimensional consideration. This study defines and applies various indicators to evaluate the development of CSA in the European Union (EU).
The shadow prices, or marginal abatement cost, of pollutants is a useful measure of environmental performance. Unlike much of the previous studies focusing on only one kind of pollutants, this paper applies the (multiplier) by-production approach to measure the shadow prices of carbon emission, sulfur emission, and dust. The case of regional economies in China is considered.
The production of high-quality seeds and planting material is the basis for increasing the efficiency and sustainability of crop production. The main aim of this article is to develop proposals to ensure that supply meets the demand in the seed and planting material market Ukraine. The future prospects are also discussed. The paper uses statistical and comparative analysis. The patterns of foreign trade in seeds and planting material to and from Ukraine are analyzed. The high level of import dependence of Ukraine leads to excessive exposure to instability in the world seed market. The development of seed production in Ukraine is discussed and analyzed along with the ways for improving commercial circulation of seeds and planting materials.
Authors:dr. Tomas BaležentisIERDdr. Dalia ŠtreimikienėIERDOleksandr Zakharchuk Andrii Hutorov Vyshnevetska Oksana Vitalii Nitsenko
This paper focuses on the state-of-the-art analysis of the concepts relevant to the functioning of agricultural supply chains. The viable supply chains concept is considered to be the most comprehensive one that encompasses sustainability, agility and resilience. However, this concept has scarcely been applied to agricultural supply chains. Thus, we discuss the theoretical foundations and empirical manifestations of the related concepts and propose a framework for analysis of agricultural supply chain viability.
Authors:dr. Tomas BaležentisIERDdr. Dalia ŠtreimikienėIERDdr. Mangirdas MorkūnasIERDdr. Agnė ŽičkienėIERDdr. Artiom VolkovIERDdr. Vida DabkienėIERD Erika RibašauskienėIERD
This paper presents a framework for decomposition of changes in farm profitability with regards to structural, activity and intensity (efficiency) effects. The Index Decomposition Analysis (IDA) is adapted for isolation of the effects of profit margin, asset turnover, leverage, capital intensity and structure. The proposed approach complements the regression-based analysis as the IDA allows combining data from different levels of aggregation and taking the structural change into account.
Sustainable development of marine economy requires strengthening the marine environmental monitoring and management. Conductivity-Temperature-Depth (CTD) realises multi-dimensional monitoring of marine environment by measuring the traits of seawater.
The Lithuanian agricultural system survived paramount structural changes after the country had joined the EU. This paper investigates the case of peas. The study applies qualitative and quantitative methods in order to identify the potential of this raw material and map the most important solutions that allow to increase value added by introducing new products.