Economic Resilience in Bangladesh: Analyzing Household Well-Being amidst Price Hikes through ANOVA and Paired Sample t-Test Insights

This study delves into the multifaceted impact of price hikes on the standard of living in Bangladesh, with a specific focus on distinct socioeconomic segments. Amidst Bangladesh’s economic growth, the challenges of rising inflation and increased living costs have become pressing concerns. Employing a mixed-methods approach combines quantitative data from a structured survey with qualitative insights from in-depth interviews and focused group discussions to analyze the repercussions of price hikes. Stratified random sampling ensures representation across affluent, middle-class, and economically disadvantaged groups. Utilizing data [1] from 2020 to November 2023 on the yearly change in retail prices of essential commodities, analysis reveals significant demographic shifts, occupational changes, and altered asset ownership patterns among households. The vulnerable population, including daily wage laborers and low-income individuals, is disproportionately affected by adjustments in consumption, income generation, and living arrangements. Statistical analyses, including One-Way ANOVA and Paired Sample t-tests, illuminate significant mean differences in strategies employed during price hikes. Despite challenges, the prioritization of education remains evident, emphasizing its resilience in the face of economic hardships. The result shows that price hikes, especially in essential items, lead to substantial adjustments in living costs, with items like onions, garlic, and ginger experiencing significant increases of 275%, 108%, and 483%, respectively.

Analysis on Technical Efficiency of Rice Farms and Its Influencing Factors in South-western of Niger

The present study focused on analyzing the technical efficiency office farms in southwest of Niger. The data from January to March 2015 survey of 148 ms in three districts of south-western of Niger were analyzed by using DEA-Tobit two-step method. In the f＇ust step, data envelopment analysis （DEA） was applied to estimate technical, pure technical and scale efficiency. In the second step, Tobit regression was used to identify factors affecting technical efficiency. The results showed that rice producers in southwest of Niger could reduce their inputs by 52% and still produce the same level of rice output. The Tobit regression showed that factors, such as farm size, experience in rice farming, membership of cooperative, main occupation and land ownership had a direct impact on technical efficiency.

Co-application of compost or inorganic NPK fertilizer with biochar influences soil quality,grain yield and net income of rice

Most agricultural soils in sub-Saharan Africa are degraded,compromising the grain yield of rice and farmers return on investment.A 3-year field study was undertaken to explore the effect of the application of compost or inorganic NPK fertilizer applied alone or in combination with biochar on soil quality,grain yield of rice and net income.The five treatments were laid out using a randomized complete block design with four replications.The treatments were applied to supply approximately 75 kg N ha–1.The best fertilizer input was compost+biochar which resulted in the greatest improvement in soil physico-chemical properties by reducing bulk density and increasing porosity and moisture retention,organic matter content,percent nitrogen,available phosphorus and cation exchange capacity.Apart from treatment with inorganic fertilizer alone,treated soils showed a decrease in pH.Bacterial and fungal counts and basal respiration decreased in soils in the following order:compost+biochar>compost only>inorganic NPK fertilizer+biochar>inorganic NPK fertilizer>control.The increase in pooled grain yield and net income in response to treatment followed the order:compost+biochar>NPK+biochar>NPK>compost>control.The findings suggest that the use of compost or NPK alone might improve soil quality and increase grain yield and net income,but it is greatly recommended to co-apply these fertilisers with biochar.

Optimal Scheme Selection of Agricultural Production Structure Adjustment——Based on DEA Model; Punjab(Pakistan)

This paper used the modern evaluation method of DEA （Data Envelopment Analysis） to assess the comparative efficiency and then on the basis of this among multiple schemes chose the optimal scheme of agricultural production structure adjustment. Based on the results of DEA model, we dissected scale advantages of each discretionary scheme or plan. We examined scale advantages of each discretionary scheme, tested profoundly a definitive purpose behind not-DEA efficient, which elucidated the system and methodology to enhance these discretionary plans. At the end, another method had been proposed to rank and select the optimal scheme. The research was important to guide the practice if the modification of agricultural production industrial structure was carded on.

An Assessment of Determinants Responsible for Low Mango Productivity in District Muzzafargarh, Pakistan

Mango which is also known as the king of fruits in the country is the second largest growing fruit after citrus in Pakistan. Although mango is being grown in more than hundred countries none of them is comparable to Pakistani mango which is famous for its unique taste all over the world. Pakistan＇s per hectare production is much lower than its potential. The purpose of this study was to assess those factors which are preventing mango growers from getting its potential yield. For this major mango producing area, Muzzaffargarh was selected. The 110 randomly selected farmers were interviewed with a well-designed questionnaire. The mango growers were divided into three categories on the basis of landholding. The Cobb-Douglas model was used to assess the effect of different factors on the productivity. The education level and age of large farmers was found highest among small and medium farmers. Large farmers were enjoying significant high profit per acre with US$519.58 as compared to medium farmers （US$454.15） and small farmers （US$395.10）. The independent variables were explaining almost 89 percent variation in productivity of mango. The significant positive effect of orchard experience, access to extension services, the quantity of NPK, quantity of pesticides and labour cost was found. The age and intercropping practices in mango orchard had a significant negative effect on mango production. Credit facilities must be made available at lower interest rate and the range of extension services must be enhanced to increase the productivity of mango.

一个动态植被模型在欧洲森林碳水循环模拟中的适应性评估研究

对动态全球植被模型M-SDGVM（Modified Sheffield Dynamic Global Vegetation Model）,在1996～1998年15个欧洲森林通量站碳通量和水汽通量的季节和年际变化进行模拟和评估研究,总的来说,模型能够合理再现各个站点春、夏季节碳的吸收,秋、冬季节碳的释放,以及水汽释放的季节变化趋势,其中,对水汽通量的模拟更为理想。对模型的上述适应性评估研究表明,改进后的M-SDGVM有能力研究不同气候条件下欧洲森林生态系统碳、水循环过程及其响应机制,但是,模型对部分站点的模拟仍存在不确定性,通过对这些偏差及其可能的产生机理进行分析,有助于模型的进一步发展和应用研究。

U.S. red meat production from foreign-born animals

The North American Free Trade Agreement (NAFTA) propelled the integration of livestock markets among the United States, Mexico, and Canada. Along with vertical integration within the respective industries, different sectors of the cattle and hog industries have shifted their production locations based on resource efficiencies. Imports of live cattle and hogs, as well as beef and pork, in the United States have been steadily increasing since the implementation of NAFTA, except during the restrictions on cattle and beef imports from Canada due to bovine spongiform encephalopathy (bse) discoveries there in 2003. There are limited empirical sources that relate the importation of livestock to the domestic U.S. production of meats. This paper introduces a methodology to estimate the amount of U.S. beef and pork production that can be attributed to foreign-born cattle and hogs. The procedure uses official U.S. trade data to quantify livestock imported at various weights and stages of production and projects the final production date and weight using existing data and literature.