Tourism–growth nexus in Pakistan: Evidence from ARDL bounds tests

This study is an attempt to test the long run relationship between international tourism and economic growth of Pakistan by using Autoregressive Distributed Lag (ARDL) models over the period of 1972 to 2011. The initial results show that the causality runs from tourism to economic growth. Furthermore, the estimated growth regression clearly indicates that the international tourism has a significantly positive impact on the economic growth of Pakistan along with other variables like physical capital and international trade. This implies that the improvement in the tourism sector may enhance the economic growth activities in Pakistan.     

Does corruption impede economic growth in Pakistan?

The present study reinvestigates the impact of corruption on economic growth by incorporating financial development and trade openness in growth model in case of Pakistan. We have used time series data over the period of 1987–2009. We have applied structural break unit root test to test the integrating order of the variables. The structural break cointegration has also been applied to examine the long run relationship between the variables.The long run relationship between the variables is validated in case of Pakistan. We find that corruption impedes economic growth. Financial development adds in economic growth. Trade openness stimulates economic growth. The causality analysis has exposed the feedback effect between corruption and economic growth and same inference is drawn for trade openness and corruption. Trade openness and economic growth are interdependent. Financial development Granger causes economic growth implying supply-side hypothesis in case of Pakistan.     

Short- and long-run relationships between natural gas consumption and economic growth: Evidence from Pakistan

This paper examines the dynamic relationship between natural gas consumption and economic growth in Pakistan using a multivariate model by including capital and labor as control variables for the period between 1972QI and 2011QIV. The results of the ARDL bound testing indicate the presence of cointegration relationships among the variables. The estimated long-run impact of gas consumption on economic growth is greater than other factor inputs suggesting that energy is a critical driver of production and growth in Pakistan. Furthermore, the results of causality test suggest that natural gas consumption and economic growth are complements. Given that natural gas constitutes to the primary source of energy in Pakistan, the implication of this study is that natural gas conservation policies could harm growth and, therefore, requires the policy makers to improve the energy supply efficiency as well as formulate appropriate policies to attract investment and establish public–private partnership initiatives.     

A revalidation of the savings–growth nexus in Pakistan

The aim of this study is to understand the relationship between savings and economic growth in Pakistan over the period 1971–2011. The cointegration and the Granger causality tests are adopted to examine the relationship between the variables. The results confirm the existence of long-run equilibrium among the variables of interest. Meanwhile, savings have positively affected economic growth in both the short run and long run. The Granger results also show that savings Granger-cause economic growth. Based upon these findings, we confirm that savings is a catalyst of growth for the Pakistani economy. Additionally, our results seem more likely to support the capital fundamentalists because the long run estimation as well as the Granger causality results also indicates that savings growth can effectively spur economic growth in Pakistan.     

Linkages between inflation,economic growth and terrorism in Pakistan

This paper investigates the linkages between inflation, economic growth and terrorism using annual frequency data over the period of 1971–2010, the maximum time period for which consistent data is available for Pakistan. The ARDL bounds testing approach to cointegration has been applied while robustness of long run relationship is established by using rolling window approach. The empirical evidence confirms the cointegration between inflation, economic growth and terrorism in Pakistan. An increase in inflation raises terrorist attacks while economic growth is also a major contributor to terrorism. Moreover, bidirectional causality is found between inflation and terrorism as investigated by the VECM Granger-causality approach while variance decomposition approach also supports the findings by the VECM Granger causality analysis. Our results therefore points to benefits of pursuing sustainability of low inflation in reducing terrorism. However, it also implies some difficulties for policy-makers in Pakistan in their pursuit for economic growth as latter would result in an increase in terrorism activities crowding out some of the benefits of economic growth.     

An empirical investigation of the relationship between education and growth in Pakistan

In this paper we try to examine the impact of education on growth in Pakistan for the time period of 1973–2001. Education, measured as gross enrollments and total expenditures, is broken down into primary, secondary and tertiary as well as by gender in each of the above categories. Time series techniques are used to determine whether education, for each category, has a causal impact on growth. The robustness of these results is then examined using the Levine–Renelt (1992) methodology. We find that secondary and higher education has a strong and robust impact on growth, whereas, at the primary level only initial female enrolments show a causal but not robust impact on growth.     

Is energy consumption effective to spur economic growth in Pakistan? New evidence from bounds test to level relationships and Granger causality tests

The present study investigates the relationship between energy (renewable and nonrenewable) consumption and economic growth using Cobb–Douglas production function in case of Pakistan over the period of 1972–2011. We have used the ARDL bounds testing and Gregory and Hansen (1990) structural break cointegration approaches for long run while stationarity properties of the variables have been tested applying Clemente-Montanes-Reyes (1998) structural break unit root test.Our results confirm cointegration between renewable energy consumption, nonrenewable energy consumption, economic growth, capital and labor in case of Pakistan. The findings show that both renewable and nonrenewable energy consumption add in economic growth. Capital and labor are also important determinants of economic growth. The VECM Granger causality analysis validates the existence of feedback hypotheses between renewable energy consumption and economic growth, nonrenewable energy consumption and economic growth, economic growth and capital.     

Does export variety determine economic growth in Pakistan?

This study explores the impact of export variety on economic growth in Pakistan. Export variety is decomposed into export related (within sector) and unrelated variety (between sectors) to examine the long run effect of export related variety and unrelated variety on economic growth. For this purpose, we incorporated export related variety and unrelated variety into the production function. The result of cointegration test shows that variables of the study are cointegrated in the long run. The result of fully modified ordinary least squares confirms the positive and significant effect of export related variety and unrelated variety on economic growth. Furthermore, the long run estimates show that the magnitude of export related variety is more than export unrelated variety. This study also finds the positive and significant effect of human capital on economic growth in the long run. It can be deduced from the results of the study that a specific sector shock will not disturb the economic pace of Pakistan.     

Export-led Growth in South Asia: A Panel Cointegration Analysis

Abstract

In this paper, we attempt to examine the export-led and manufacturing export-led growth hypothesis for four South Asian Countries; namely, India, Pakistan, Bangladesh and Sri Lanka, using Pedroni’s panel cointegration technique for the period 1980–2002. In this context we estimate growth accounting equations to investigate the impact of exports, manufacturing exports and other important physical and human capital variables on both total GDP and non-export GDP. The study finds long-run equilibrium relationship between GDP (and non-export GDP) and exports along with other variables supporting export-led growth hypothesis. The results also substantiate the existence of manufacturing export-led growth hypothesis. Further, we find that export, fixed capital formation, public expenditure on health and education have statistically significant coefficients re-emphasizing the importance of these variables for higher economic growth.     

Estimation of the spillover effect between patents and innovation using the GARCH–BEKK model

This study examines the mean and variance spillovers between patents filed and total factor productivity in Pakistan during the period lasting from 1964 to 2015. Using the multivariate generalized autoregressive conditionally heteroskedastic–Baba, Engle, Kraft and Kroner (GARCH–BEKK) model, we find no evidence of mean spillover effects between patents filed and productivity growth. However, the results support the existence of the variance spillover effect, which illustrates that the innovations may affect productivity in the long‐run. Moreover, bidirectional causality in the mean and variance between innovation and productivity growth is non‐existent. We find that R&D/GDP, skilled labour force and economic freedom are the significant factors affecting technological advancements in the country. We also determine that R&D/GDP and economic freedom are the important factors affecting patent activities in Pakistan. Our findings suggest that the government needs to emphasize the regulations of the patent system to safeguard the interests of investors, which ultimately promotes economic growth.     

政府教育支出的经济增长效应研究

政府教育支出的经济增长效应是经济学界研究的重要问题。文章首先建立一个包含政府教育支出的两部门内生增长模型,对中国政府教育支出的经济增长效应进行分析,实证结论是:长时期内中国政府教育支出的经济增长效应是正。因此,应进一步增加政府教育支出,并通过改进投资结构和进度,使之对长期经济增长起到更为重要的促进作用。     

Monetary and fiscal policies' effect on agricultural growth: GMM estimation and simulation analysis

The concept of sustainable economic growth is closely linked with the agricultural growth. This is especially true in the context of under-developed countries. Pakistan is a typical under-developed country that has huge labor force employed in conventional rural economy and more than half of the population relies on agriculture for subsistence. The study examines the agricultural growth through developing a model using the data from agricultural sector of Pakistan for the period 1972–2010. The model is primarily based on input–output reduced form structural equations approach. It is then estimated by GMM, validated and used for deterministic simulation analyses. Finally the validated model is used to critically analyze the impact of fiscal, monetary and energy policies on the agricultural output. We conluded that recent fiscal and monetary policies should be continued, while the energy policy needs to be modified in order to improve the agricultural GDP and reduce the rural poverty situation in the country.     

人力资本结构对经济增长贡献率的实证分析

建立人力资本结构对经济增长贡献率的计量模型,采用相关数据对该模型进行实证分析。结果表明：中等教育对我国经济增长的贡献率较高,高等教育相对较小。因此,建立模型分析不同受教育年限的人力资本对经济增长的贡献率就非常具有现实意义。     

我国的政府教育支出与经济增长——基于1980—2011年的数据分析

对于政府教育支出与经济增长的关系实证研究并没有确定的结论。本文利用我国1980-2011年的时间序列数据分析了政府教育支出对经济增长的影响。实证研究表明,无论是在长期还是短期内政府教育支出都对经济增长具有正的显著的影响,即我国的政府教育支出能够促进经济增长。 Granger因果检验表明,我国的政府教育支出与经济增长之间存在双向因果关系。另外,长期中政府教育支出对经济增长的影响效果大于短期。这说明政府教育支出对经济增长的影响是个长期的累积过程,因而教育投入不应该是一种短期行为。目前我国政府的教育支出仍处于相对较低的水平,具有较大的提升空间,从而具有推动经济增长的巨大潜力。因此,为保持经济的持续增长,在近期和长期内不断加大政府对教育的投入、优化教育资源的配置应是一项极其重要的教育政策。     

高等教育对四川经济增长贡献的实证研究

高等教育作为教育的重要组成部分,对推动经济增长具有重要的作用。本文运用柯布-道格拉斯生产函数并通过实证研究方法推算出了高等教育对四川经济增长的贡献率为8.92%。研究发现,这一比例在西部地区是比较突出的,发展教育与发展经济具有内函关联关系。文章还对比分析影响高等教育对四川经济增长贡献的原因并提出对策建议。     

Export and economic growth: Further time series evidence from less-developed countries

The purpose of this paper is to examine the role of export-growth linkage in India, Pakistan, the Philippines, Malaysia, and Thailand on the basis of time series data from 1973 to 1993. The empirical results indicate that exports have a positive and significant impact on economic growth when a country has achieved some level of economic development. The result also signifies the importance of liberal market policies by pursuing export expansion strategies and by attracting foreign investments.     

出口贸易、教育投入与经济增长:理论模型与经验证据

笔者借鉴获得性技能模型思想,研究教育投入通过影响外贸发展间接影响经济增长的路径,并重点考察两者对经济增长的联合影响机制.利用2004年～2009年31个省市数据进行实证分析,结果表明:教育投入对经济增长的边际影响为负且教育行业投入与出口贸易对经济增长的联合影响正向显著.可见教育投入对经济增长的直接促进作用,远远小于其通过促进外贸发展间接促进经济增长的作用.     

Is energy consumption sensitive to foreign capital inflows and currency devaluation in Pakistan?

This study investigates the relationship between foreign capital inflows and energy consumption by incorporating economic growth, exports and currency devaluation in energy demand function for the case of Pakistan. The long-run and short-run effects are examined via ARDL bounds testing procedure. Foreign capital inflows and currency devaluation (economic growth and exports) decrease (increase) energy consumption in long-run. The results confirm a feedback effect between foreign capital inflows and energy consumption. These findings would be helpful to policy makers in designing comprehensive economic and energy policies for utilizing foreign capital inflows as a tool for optimal use of energy sources to enhance economic development in long run.     

河北省高等教育与经济增长关系的实证分析

利用河北省1990～2006年数据对高等教育规模与经济增长之间的关系进行研究,建立了协整方程和误差修正模型,进行了格兰杰因果关系检验,得出的主要结论是:河北省经济增长和高校教育规模之间存在长期的协整关系,高等教育在校生人数每增加1个百分点,GDP增加0.64个百分点;经济增长和高等教育互为格兰杰因果关系,表明经济增长对高等教育的促进以及高等教育很好地发挥了人力资本的作用,带动了经济增长;误差修正模型表明经济增长在短期内主要受其自身的影响,误差修正项系数为负,符合反向修正机制。     

Narrowing the gender digital divide in Pakistan: Mobile phone ownership and female labor force participation

The unprecedented growth in access to mobile phones and smartphones has opened up new possibilities in the way people live and work. However, women in developing countries are unable to take advantage of this growth due to certain factors and socio-cultural norms that give rise to the gender digital divide. In this study, using the nationally representative Pakistan Social and Living Standards Measurement Survey (2019–2020), we investigate the gender and rural–urban (female) digital divide in a country with one of the most considerable digital divides. Furthermore, we employ an instrumental variable approach to study the effect of mobile or smartphone ownership on female labor force participation. The results indicate that institutional and sociocultural norms explain most of the ownership gap of mobile or smartphones between men and women. The instrumental variable approach demonstrates that mobile or smartphone ownership increases the participation of women in the labor force. We also find that the differences between observable characteristics, especially literacy and education, explain the rural–urban digital divide among females. Considering the importance of mobile or smartphone ownership in facilitating women's labor supply decisions, providing women with digital tools and upskilling them has wider implications for their economic well-being.