Research ArticleOpen accessPhrase in the titleA VAR Model for Forecasting Land Market Value in USALei WangForecasts of the future tendency of economic variables such as GDP, inflation rate and unemployment rate, arise many interests from business and government. Also, Modeling the land market at the national level can capture rich dynamic presenting in interdependent economies. In this paper, we studied a Vector Auto-regression (VAR) of Land Market Value and five US macroeconomic variables. We employed … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 1 Jan 2018 · 7,639 accessesView PDFCite
Research ArticleOpen accessPhrase in the titlePrediction on Land Market Value Based on the Real Estate Market in USALei WangThe Land Market Value, defined as the total value of land price and quantity data are derived from data on housing values, is an important factor in the estimation of structure costs using price indexes for housing and construction costs. In this study, we gather and analyze 34 years' national data on past and present real estate transaction. According to … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 23 May 2017 · 7,555 accessesView PDFCite
Review ArticleOpen accessIn the abstractEvaluating the Production and Marketing Assessment of Selected Vegetables in BangladeshFatima Khatun, Mashrat Jahan, Shahadat HossainThe prosperity of Bangladesh depends upon agricultural development. In addition to that, vegetables play a significant role in the economy of Bangladesh. The present study aims to overview the production and marketing of vegetables. The study also attempts to highlight the value chains and channels of vegetable marketing and the problems related to the production and selling of vegetables. Conspicuously, … …American Journal of Agricultural and Biological Sciences, Vol. 17, Issue 1 · 26 Mar 2022 · 6,790 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Multivariate Time Series Forecasting ModelsMiss Lei WangIn this study, the focus is to collect and summarize various advanced forecasting models for multivariate time series dataset. We have discussed about the inherent forecasting strengths and weaknesses related to these time series modelings. Also, the main section deal with the experience of using such data in econometric analysis. Besides, the implementation of SAS and R softwares improve the … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 21 Dec 2018 · 7,316 accessesView PDFCite
EditorialOpen accessIn the abstractAn Opportunity for the Agricultural Sector: The Renewable Energy SourcesRiccardo Testa, Salvatore TudiscaToday, among the most important issue for energy decisions by policymakers, there are security challenges and environmental impacts on climate change and economic aspects. Since the seventies, in fact, global warming and environmental issues have had an increasing importance in international debate, attracting the attention of several scientific studies (Landi and Benelli, 2016). Many of these studies denoted that over … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 3 · 6 Sep 2016 · 8,092 accessesView PDFCite