Does Chinese FDI, Climate Change, and CO2 Emissions Stimulate Agricultural Productivity? An Empirical Evidence from Pakistan

被引:29
|
作者
Ahmad, Shakeel [1 ,2 ]
Tariq, Muhammad [3 ]
Hussain, Touseef [4 ]
Abbas, Qasir [1 ,2 ,5 ]
Elham, Hamidullah [1 ,2 ]
Haider, Iqbal [6 ]
Li, Xiangmei [1 ,2 ]
机构
[1] Nanjing Agr Univ, Coll Econ & Management, Nanjing 210095, Peoples R China
[2] Nanjing Agr Univ, China Ctr Food Secur Studies, Nanjing 210095, Peoples R China
[3] Southeast Univ, Sch Econ & Management, 2 Dongnandaxue Rd, Nanjing 211189, Peoples R China
[4] Nanjing Agr Univ, Coll Publ Adm, Nanjing 210095, Peoples R China
[5] Univ Agr Faisalabad, Inst Agr & Resource Econ, Faisalabad 38000, Pakistan
[6] Univ Sargodha, Business Sch Econ & Management, Sargodha 40100, Pakistan
关键词
agricultural growth; Chinese FDI; climate change; carbon emissions; ARDL; FOREIGN DIRECT-INVESTMENT; FARM-LEVEL; COUNTRIES; GROWTH; DETERMINANTS; PERCEPTIONS; PERFORMANCE; ADAPTATION; MITIGATION; ECONOMIES;
D O I
10.3390/su12187485
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页数:20
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