scholarly journals A Correlative Analysis of Modern Logistics Industry to Developing Economy Using the VAR Model: A Case of Pakistan

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Salman Hanif ◽  
Dong Mu ◽  
Saranjam Baig ◽  
Khalid Mehmood Alam
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Developing Countries ◽  
Economic Development ◽  
Developing Economies ◽  
Series Data ◽  
Var Model ◽  
Modern Logistics ◽  
Logistics Industry ◽  
Sustainable Economic Development

The modern logistics industry has opened new strategic perspectives in establishing its interrelation with economic growth. In recent years, understanding such an overlap has become a policy issue considering ever-increasing factors and their influence on this relation. Most existing studies have explored this interaction from a general perspective, or for developed countries. This paper explores time-series analysis of the dynamic variables and their inter-related influence in both the short and long run on the relationship between modern logistic industry and economic growth—a more specific perspective, particularly for developing countries. Accordingly, we exemplify our analysis by employing the vector autoregression (VAR) model to the most updated time series data of investment in the logistics industry and the economic growth of Pakistan from 1990 to 2018. The empirical findings endorse the previous studies’ outcomes and recognize the importance of sustainable economic development concerning continuously improving the logistics industry. However, a unidirectional relation is observed that economic growth leads to developing the logistics industry—economic growth exerts a significant demand-pull effect on Pakistan’s logistics. It implies that logistic industrial development is comparatively quicker in the geographical areas where economic growth is higher than those areas where economic growth is low. To conclude this study’s findings, logistics industry reforms should prioritize the selected geographical areas in improving the economy that would lead to the modern logistics industry’s development. As the model adopts Pakistan’s context, the overall statistical analysis can be generalized to other developing economies. These results would be of particular interest to strategy makers working in developing countries and help them design and develop modern transportation and logistics, coupled with interlinked technological factors, which would attract investment in the logistics industry for sustainable economic development.

scholarly journals A Review of the Strength of Trade Polices in Emerging Economies towards their Goals of Sustainable Economic Development

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Rahat Sabah
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Economic Development ◽  
Trade Policy ◽  
Developing Economies ◽  
Trade Policies ◽  
Economic Sectors ◽  
Sustainable Economic Development ◽  
Policy Tool ◽  
Infant Industry

Purpose: The study aims to offer a review of trade policies and Export Processing Zones (EPZs) policies and their outcomes in developing economies. The EPZs are presented as a trade policy tool by using which the developing economies trying to pursue export-led growth policy can also achieve the goals of sustainable economic development. Design/Methodology/Approach: The study has followed qualitative research design using literature review logical and qualitative text analysis to critically summarize the trade theories, policies and growth theories specially the EPZs based trade policy in developing countries. Finding: The study has revealed that the developing countries are enhancing their economic growth and expanding their economic sectors through international trade. The mercantilist trade policies under infant industry argument or others have not been much successful in spurring long term growth. EPZs are identified as a strategic trade policy tool by which developing countries can achieve economic growth and sustainable development goals (SDGs). Implications/Originality/Value: It is concluded that the infant-industry idea has not helped developing countries regarding economic growth and development. The findings presented herein are useful for political leaders and economic managers in developing countries aspiring to achieve economic growth and SDGs.

scholarly journals Application of Multi-Criteria Decision-Making Model and GM (1,1) Theory for Evaluating Efficiency of FDI on Economic Growth: A Case Study in Developing Countries

2019 ◽  
Vol 11 (8) ◽  
pp. 2389 ◽  
Author(s):  
Wang ◽  
Le
Keyword(s):  
Economic Growth ◽  
Decision Making ◽  
Developing Countries ◽  
Economic Development ◽  
Exchange Rate ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Sustainable Economic Development ◽  
Sustainable Economic Growth

Foreign direct investment (FDI) and corporate social responsibility (CSR) spending are one of the major factors in improving sustainable economic development of a country. Therefore, this study focuses on the multi criteria application of FDI and sustainability factors (CSR spending) in various developing countries to explore its impact and decision making for sustainable economic growth. The study uses a case study methodology whereby FDI, exchange rate, and CSR expenditure data from 20 countries were used to assess the efficiency in sustainable economic growth. Data were collected from the World Bank for 20 Asian and African developing countries during 2012–2017 and analyzed using GM (1,1), mean absolute percentage error (MAPE), Malmquist productivity index (MPI)-data envelopment analysis (DEA), and the slacks-based measure of efficiency (SBM) model. Correlation analysis is used to find the relationship for FDI, CSR, exchange rate, gross domestic product (GDP), and GDP per capita (GDPPC). The results of the Malmquist productivity index and the frontier effect clearly highlight that a few countries have witnessed a great improvement in terms of productivity and technological progression. Therefore, the decision makers must adopt the model of those countries with respect to sustainable development of the nation. This study helps developing nations as well as researchers to benchmark efficient countries and follow their strategies to develop a new one for utilizing FDI and CSR spending in sustainable economic development. The study also helps policy makers in multi criterion application of FDI and CSR for decision making in economic development.

INCOME EQUALITY IN A COURSE OF INDONESIAN DEVELOPMENT

2014 ◽  
Vol 59 (01) ◽  
pp. 1450006
Author(s):  
SUSUMU HONDAI
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Development ◽  
Poverty Reduction ◽  
Time Series Data ◽  
Series Data ◽  
Income Equality ◽  
Left Behind ◽  
Long Run ◽  
Run Time

Indonesia has done remarkably well in the areas of both economic growth and poverty reduction. However, the economic situations differ significantly among Indonesian provinces. Some provinces have already developed well, while the rest have been left behind. The variation in the situations will generate a synthetic long-run time series data of economic development as a whole and enable us to find out when income equality starts to improve in a course of economic development.

scholarly journals ANALISIS PERTUMBUHAN DAN PERGESERAN SRUKTUR EKONOMI KABUPATEN INDUK DI PROVINSI BENGKULU

2020 ◽  
Vol 2 (1) ◽  
pp. 54-69
Author(s):  
Sunoto Sunoto ◽  
Bertha Iin Esti Indraswanti ◽  
Edy Rahmantyo Tarsilohadi
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Development ◽  
Economic Performance ◽  
Time Series Data ◽  
Economic Structure ◽  
Series Data ◽  
Location Quotient ◽  
Dynamic Location ◽  
Secondary Time

The purpose of this research was to analyze economic growth and shifting of economic structure of the origin district in Bengkulu Province. Base on BPS secondary time series data (2001-2017), descriftive analysis was used to analyze economic growth and shifting economic structure, specialty after the region otonomous era (OTDA).  The DLQ and SSA method was used to determine the potential and leading sectors to increase economic performance. The result of this research was conclude that expansion of the the region in Bengkulu Provinsi has positif impact on economic development for the origin district. The economis structure was shifting from premier sector to secondary and tertier sector. The potential and leading sector after OTDA become more than before (from 4 or 5 sector to 7 untul 9 sector).  Keywords :  Dynamic Location Quotient 1, Shift Share Analysis 2, Economic Growth 3, Economic Structure 4, Potential and Leading Sector 5

scholarly journals An Evaluation of the Determinants of Remittances: Evidence from Nigeria

2015 ◽  
Vol 1 (2) ◽  
Author(s):  
Temitope Laniran ◽  
◽  
Daniel Adeniyi
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Capital Accumulation ◽  
Time Series Data ◽  
Developing Economies ◽  
Growth Models ◽  
Series Data ◽  
Macroeconomic Factors ◽  
Financial Flows ◽  
High Level

International remittances have grown to become an integral source of finance for development. Existing literature posits that there is an association between remittances and growth in developing countries. Economic growth models highlight the importance of capital accumulation and high level financial flows, the inadequacy of which characterizes developing countries and often explains their fate. It is argued that remittances will provide a panacea to the serious poverty experienced in such developing economies by increasing financial flows and household income, which in turn stimulates consumption, savings, economic growth and ultimately development. The robustness of this relationship is, however, often questioned. Indeed, the propensity of remittances to achieve these aspirations very much hinges on the determining factors motivating the remitters and the magnitude of the remittances. Hence, given the significant flows of remittances to the developing countries, this study attempts an analysis of the determinants of remittances to Nigeria. Key macroeconomic variables with theoretical potentials of influencing the level of remittances received were subjected to econometric model testing using time series data from 1980 to 2013. The results indicate that the level of remittances received is more a function of portfolio motives than other macroeconomic factors.

scholarly journals PENGGUNAAN METODE ARIMA DALAM MERAMAL PERGERAKAN INFLASI

2017 ◽  
Vol 18 (1) ◽  
pp. 1-10
Author(s):  
Hartati Hartati
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Developing Countries ◽  
Time Series Data ◽  
Moving Average ◽  
Series Data ◽  
Autoregressive Integrated Moving Average

Inflation is a problem which haunts the economy of each country. Its development is which continually increasing make a drag on economic growth to a better direction. Inflation tends to occur in developing countries like Indonesia which is an agricultural country. To overcome the instability of inflation, one way to do is to predict the time series data. Methods Autoregressive Integrated Moving Average (ARIMA) has the ability to capture the necessary information about the wood as well as able to cope with the instability of inflation of inflation. This is because ARIMA is a method of forecasting time series are suited to predict the number of variables in a fast, simple, inexpensive, accurate, and only requires the data variables to be predicted. Inflasi merupakan suatu masalah yang menghantui perekonomian setiap negara. Perkembangannya yang terus-menerus mengalami peningkatan menjadi hambatan pada pertumbuhan ekonomi ke arah yang lebih baik. Perubahan laju inflasi cenderung terjadi pada negara-negara berkembang seperti halnya Indonesia yang merupakan negara agraris. Untuk menanggulangi terjadinya ketidakstabilan laju inflasi, salah satu cara yang dapat dilakukan adalah dengan meramalkan data time series. Metode Autoregressive Integrated Moving Average (ARIMA) memiliki kemampuan untuk menangkap informasi-informasi yang diperlukan mengenai laju inflasi serta mampu menanggulangi ketidakstabilan dari laju inflasi. Hal ini dikarenakan ARIMA merupakan suatu metode peramalan time series yang cocok digunakan untuk meramal sejumlah variabel secara cepat, sederhana, murah, dan akurat serta hanya membutuhkan data variabel yang akan diramal.

scholarly journals Contracting Institutions, Property Rights and Economic Growth in the Post-90s Albania

2018 ◽  
Vol 14 (1) ◽  
pp. 176 ◽  
Author(s):  
Mario Curcija
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Development ◽  
Property Rights ◽  
Time Series Data ◽  
Series Data ◽  
Significant Positive Effect ◽  
The Difference ◽  
Positive Effect

Economists often emphasize the role of institutions in order to explain the difference in wealth and development among different countries and in their researches they mark correlation between institution and economic development. This paper tests the validity of these models referring to Albania using time-series data from 1993 to 2015. There is evidence of significant positive effect of property rights on economic growth and credit to private sector, while there is evidenced insignificant impact of contracting institutions on economic outputs. A plausible explanation of these differences may be the different flexibility towards changes on property right institution rather than contracting institutions.

scholarly journals Asean dan Pembangunan Ekonomi Maritim Kepulauan Riau – Indonesia

2021 ◽  
Vol 1 (2) ◽  
pp. 16-27
Author(s):  
Akhirman Akhirman
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Development ◽  
World Bank ◽  
Time Series Data ◽  
The Philippines ◽  
Series Data ◽  
Brunei Darussalam ◽  
National Economic ◽  
Asean Countries

This study aims to find out the Maritime Economic Development of ASEAN Countries and Riau Islands - Indonesia. ASEAN which was established on August 8, 1967 through the Bangkok Declaration by Indonesia, the Philippines, Malaysia, Singapore, and Thailand. Then in 1984 he joined the State of Brunei Darussalam, in 1995 followed by the country of Vietnam, in 1997 the countries of Laos and Myanmar, and in 1998 joined the country of Cambodia. ASEAN in the Indonesian language known as Perbara or Perhimpunan Nations of Southeast Asia is a collaborative organization in the field of economy and geo-politics. The variables used in this study are Economic Growth, Export Rate. Inflation, and IPM. The data used is time series data, namely from 2014-2016. The analytical method used in this study is descriptive and econometric analysis. World Bank data, in 2017, predicts that there are three countries, namely Cambodia, Laos and Myanmar, which are predicted to have the most expansive economic growth after India in 2017-2019, and it is estimated that economic growth can reach 7%. while Indonesia in Quarter II 2017 grew 5.1 percent (BPS, 2017), while in 2013 it grew 5.58 percent. Riau Islands, a small town that captures part of NKRI in 2015 6.02 percent (yoy) economic growth, in the second quarter of 2017 must be willing with the lowest number two national economic growth, which is 2.02 percent which was the highest in Sumatra exceed national figures of 4.79 percent. (yoy). Suggestions given in this study include the need to think about a policy strategy that has potential economic areas to support sustainable export growth so that it can improve economic growth better.

scholarly journals Does Greenfield Foreign Direct Investment Inflow contribute in Socioeconomic Development? Empirical Evidence from Developing Countries

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Shahid Akbar ◽  
Ali Raza ◽  
Zahid Raza
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Economic Development ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Developing Economies ◽  
Dependent Variables ◽  
Socio Economic Development ◽  
The Impact ◽  
Positive Effect

This study aims to assess the impact of Greenfield-Foreign Direct Investment (FDI) inflows on the socio-economic development of ten developing countries. Developing economies rely on investment from developed countries, especially Greenfield investment. Greenfield investment is the new capital inflow to the host country's economy that helps to improve economic activities, boosts economic growth, and improves socio-economic welfare. This study has used Greenfield investment as the target-independent variable and other controlled variables remittances, aid, inflation, population, and trade openness. At the same time, socio-economic development, health, economic growth, and education are dependent variables. For this purpose, Pooled Mean Group (PMG) technique/Panel Autoregressive-Distributed Lag (ARDL) has applied for estimation purposes from 1990 to 2017. The empirical findings have shown that Greenfield-FDI has a long-term statistically significant and positive effect on economic growth, health, education, and socio-economic development. In comparison, remittances and official development assistance have positive and negative impacts on the study's dependent variables. The population also has a positive effect, whereas inflation and trade have mixed results. Outcomes of this study advise that policymakers should adopt attractive investment policies to enhance more foreign investment and utilize it efficiently, thereby promoting sustainable development. The government should announce firms to invest in human capital, which will impact productivity.   

scholarly journals Growth Effects of Remittance: A Case of Turkey Diaspora

2021 ◽  
Vol 58 (1) ◽  
pp. 690-698
Author(s):  
Dr. Caterina De Lucia Et al.
Keyword(s):  
Time Series ◽  
Economic Development ◽  
Time Series Data ◽  
Developing Economies ◽  
Human Life ◽  
Economic Indicator ◽  
Series Data ◽  
World Economic ◽  
The Government

In the age of globalization, remittances are an essential part of human life. This analysis's key objective is to examine the effect of remittances in developing economies like Turkey on economic development. The 1980 to 2020 time-series data used in this analysis which use numerous time series estimating techniques. Sending data is given by the Banks of Turkey and in a million dollars. Simultaneously, economic development or GDP data are provided by world economic indicator, the World Bank, and the new US dollar. The findings indicated that there are both short-term and long-term ties between transactions and economic development in Turkey. Therefore, results indicate that Turkey's transition flows positively affect Turkey's person and Turkey's macroeconomic scenario. The government should implement policies that allow Turkey in overseas countries to submit transmissions through official channels.

Sign in / Sign up

Export Citation Format

Share Document