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This study documents the impact of Covid-19 on the E-Business in Pakistan.COVID-19 has a significant influence on public health and induces hasty changes in way of life, social distancing and home alienation, with social and economic implications. This indicates the socioeconomic expansion in the country has deteriorated. It's now messed up all sorts of industry on a global scale including the e-commerce sector. Big retailers had their stores turned off temporarily. In addition, due to declining footfalls, medium-sized and smallsized retailers are battling the situation. For fact, online companies are not off the list as well. Pakistan is also heavily impacted by them. Several e-commerce firms depend on China for most of their goods. In China, lockdown restrictions drastically decreased the production of goods, Thus it is expected to have a big impact on the Pakistan online sector, in particular Chinese goods. Primary research through a sample survey analysis is executed to boost outcomes.The result shows that because China is the biggest producer and the largest number of industries are locked. That's why all the shipping processes which have hampered domestic economic growth are hindered by the influence of corona viruses.

Major objective of the present study is estimate regression model and Correlation coefficient. The data were collected from the wheat section, Agriculture Research Institute (ARI) Tandojam, regarding various factors influencing on the wheat production. The survey result show that yield has significant positive correlation with the parameters such as the number of tillers per plant, number of seed per spike, length of spike in cm, the number of spikes let per, tiller per hectare and plant height cm. The parameter of wheat number of tillers per plant meter square standard error is (0.569), coefficient is (0.816). T-value is (1.43) and with positively significant is (0.018). The parameter of number of seed per spike standard error is (0.107) coefficient is (0.0811) To determine the effect of dependent and independent T-value of (0.75) with significant (0.4724).The parameter of wheat is length of spike in cm is standard error is (1.704), Coefficient is (1.092), T-value is (0.64) with the positively significant is (0.029) T-value is (2.20) and with positively significant is (0.039).The parameter of tiller per hectare is standard error is (0.026), standardized The Number of spike let per spike with standard error of this parameter (0.5172)coefficient is (1.135), the coefficients beta is (0.041), and T-value of this parameter is (1.73) and with the positively significant value is (0.121). The parameter of wheat is day of heading cm with the standard error is (0.650), the standardized coefficient beta is negative (1.426), the T – value of this parameter is (-2.19) with the weak significant of (0.059). The parameter of wheat is plant height cm standard error is (0.203), with standardized coefficient beta is (0.081), T-value of this parameter is (0.40) with the significant value is (0.697). The parameter of lodging score per hector centimeter with standard error is (0.662), the standard coefficient of beta is (-0.504), T-value of this parameter is (-0.76), with the significant of (0.468).The parameter of number of grains weight in grams with standard error is (0.245) standardized coefficient of beta is (0.106), T-value is (0.43) with the significant value is (0.677). The parameter of wheat is seed index 1000 grains weight with standard error is (3.437) , coefficient is (0.384) , T-value is (0.11) With the significant value is (0.913).The parameter of wheat is plot yield gram with standard error is (0.0215), with coefficients is (-0.036), is T-value of this parameter is (-1.72) with the significant value is (0.124). The Parameter of wheat is nitrogen per hector kilogram with standard error is (0.168), coefficient is (0.1688), is T-value is (1.00) with the significant of (0.345).The parameter of Phosphorus per hack Kg with standard error is (0.333), coefficient of is (-0.138), T-value is this parameter is (-0.42) with the significant of (0.688). It is suggested that the more factors can be studied and different statistical techniques, agronomics practices and different doses of fertilizer can be applied for the high production of wheat crop.

The present study is an attempt to forecast the wheat production in Sindh province of Pakistan using sophisticated statistical techniques. The secondary data regarding area, production and yield of wheat crop were collected for the last thirty years (1984-85 to 2013-14) for estimation and forecasting purposes using time series techniques such as moving averages and exponential smoothing. The estimates for three, five and seven-years moving averages for area were found to have a minimum value of 849.87,863.04, and 890.09 hectares and maximum value of 1129.4,1111.58, and 1109.6 hectares respectively. Likewise, for production, these estimates were found as 2065.57, 2117.7, 2154.3 and 3917.50, 3740.8, 3469.4 tons respectively. So, for as the yield is concerned, the above-mentioned estimates for minimum and maximum were found as 2071.7, 2107.8, 2121 and 3574.0, 3520, and 3414 respectively. Based on the findings of the present study, it is concluded that during the last thirty years the area, production and yield under wheat cultivation showed an increasing trend. In case of forecasting, the area and production under wheat cultivation was increase in the coming year, but the yield under wheat cultivation was considerably decreased due to shortage of irrigation water.

Aim: This research aims to define equities determinants in maternal and child care in Punjab, a Pakistan province. The study focuses on the impact on Reproductive/ Maternal/ Newborn/ Child Adolescent Health (RMNCAH), introduced in 2016 through the Investment Case (IC) approach. Methodology: A complex-sample-analysis modified the weight of the sample. Weighted disaggregated data were produced by cross-tableting with Confidence Interval (CI). A DiD analysis was performed based on a linear model of regression. Finally, the effect of the involvement was calculated by multivariate linear regression. Principal Findings: The results show that changes had been measured in both the involvement and reference areas in involvement and no significant associations in the variables. Changes in involvement and contrast areas were similar. Also, there was no substantial improvement in aggregate outcomes from the multivariable regression analysis. In most developing countries, the IC approach is successful. Following the IC's introduction, some MNCH indicators such as ANC and the delivery of expert delivery of assistant birth showed improvements in involvement and contrast districts. Applications of this study: The research will provide a proper guideline for the policymaker to design a need-based policy for equitable admission to child health care and maternal facilities Novelty/Originality of this study: This study first analyzed the influence of investment- case in the RMNCAH program in Punjab.