Pakistan’s agricultural sector growth is dwindling from the last several years due to insufficient foreign direct investment (FDI) and a drastic climate change-induced raise in temperature, which are severely affecting agricultural production. The FDI has paramount importance for the economy of developing countries as well as the improvement of agricultural production. Based on the time series data from 1984 to 2017, this paper aims to highlight the present situation of the agriculture sector of Pakistan and empirically analyze the short-run and long-run impact of Chinese foreign direct investment (CFDI), climate change, and CO2 emissions on agricultural productivity and causality among the variables. The Autoregressive Distributed Lag Model (ARDL) model and Granger Causality test were employed to find out the long-run, short-run, and causal relationships among the variables of interest. Furthermore, we have employed the Error Correction Model (ECM) to know the convergence of the equilibrium path. The bound test results verified the existence of a long-run association, and the empirical findings confirmed that Chinese FDI has a significant and positive impact, while climate change and CO2 emissions has negative impact on the agricultural growth of Pakistan both in the short-run and long-run. Granger Causality test results revealed that variables of interest exhibit bi-directional and uni-directional causality. The sector-wise flow of FDI reveals that the agriculture sector of Pakistan has comparatively received a less amount of FDI than other sectors of the economy. Based on the findings, it was suggested to the Government of Pakistan and policymakers to induce more FDI in the agriculture sector. Such policies would be helpful for the progress of the agriculture sector as well as for the economic growth of Pakistan.
19 May 2022 in Environmental Science and Pollution Research
Objective: To determine the presence and severity of depression and anxiety in patients with tinnitus. Study Design: Cross sectional study. Place and Duration of Study: This study was conducted at department of Psychiatry, Combined Military Hospital Multan in collaboration with ENT department, Combined Military Hospital Multan, from Sep 2019 to Mar 2020. Methodology: All diagnosed cases of tinnitus in ENT out-patient department Tinnitus Handicap inventory (THI) was applied to assess the severity of tinnitus. Diagnosis of depression and Anxiety was done based on diagnostic criteria of ICD10 of WHO and symptom severity was assessed using Beck Depressive Inventory (BDI) for depression and Beck Anxiety Inventory (BAI) for Anxiety. Results: A total of 88 participants were included in this study. Fifty-three (60.2%) were male, 35 (39.7%) were females. Twentythree (20.2%) ranged between 18-40 years of age, 65 (57.2%) participants ranged between 41-60 years of age. Seven (12.5%) participants scored less than 38 on tinnitus handicap inventory showing mild severity of tinnitus, 3 (5.3%) individuals scored moderate while 19 (33.9%) had severe level of tinnitus. Thirty-three (37%) participants had depression 55 (62%) out of total 88 participants had anxiety. Conclusion: Studies show presence of anxiety and depression in patients with tinnitus so it seems prudent to screen all patients of tinnitus for psychiatric co morbidity. A multidisciplinary approach is required for the treatment of patients with tinnitus so that physical as well as psychiatric/psychological management of these patients is provided well in time.