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FORECASTING LABOR DEMAND FOR INDUSTRIAL DEVELOPMENT IN ETHNIC MINORITY AND MOUNTAINOUS REGIONS > DUONG HUONG LAM ASBTRACT: IndusQrial development is an important orientation for the so

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FORECASTING LABOR DEMAND

FOR INDUSTRIAL DEVELOPMENT IN ETHNIC MINORITY AND MOUNTAINOUS REGIONS

> DUONG HUONG LAM

ASBTRACT:

IndusQrial development is an important orientation for the social-economic development of ethnic minority and mountainous regions in Vietnam in the coming period However, the industrial development in these regions have faced many challenges due to the sparse population and lower literacy levels compared to other regions Therefore, forecasting labor demand is especially important for local managers to have appropriate pohcies to prepare human resources for the industrial development in the near fumre This study forecasts the industrial labor demand of ethnic minonty and mountainous regions up to 2030 by using the forecast model and data of Liu et

al in the period 1986-2016 The dependent variable of this model is the namral logarithm of labors using in the region's industries while the independent variables are the industrial production value and the labor demand in the previous year The study's findings show diat the industrial labor demand of ethnic minority and mountainous regions by 2030 tends to increase By 2030, it is forecasted that the demand for industrial labor will increase to 3,136,549 in the scenario of the highest growth of industrial production value

Keywords: Industry, forecast, labour needs, development, ethnic minority and mountainous

regions

1 Introduction

Ethnic mountainous areas have rugged terrain

and mostly high mountains Travel is very difficult

and the industrial development of this region is

not simple However, with the spillover of the

remaining areas for the ethnic mountainous areas,

the industrial development of these regions will

he increasingly strengthened in the near future

Workforce is one of the important factors

contributing to Ihe output of the production

process that ensures success m business Therefore, human resource planning for development is indispensable in all economic development processes in general

Because of the importance of human resource planning for industrial development in the future the core subject of the research is focused on the forecasting the demand of industrial labor markets

in ethnic mountainous areas to 2030 Forecast results shown that the industrial labor demands in

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ethnic mountainous areas increased by an average

of 7.4% from 2017 to 2030 During this period, the

industrial labor supply still met the demand

However, in 2030, the gap between supply and

demand will significantly narrow Therefore, the

plan to develop and steady the labor supply for the

increased demand is an urgent requirement that

must be addressed

2 Forecasting model

To forecast the labor demands for industrial

development in ethnic minority and mountainous

areas, the author used the forecast model that Liu

et al (2016) used to forecast the human resource

demand for the health sector until 2030 of all

countries around the world The dependent

variable of the model is the natural logarithm of

labor using in the region's industry, and the

independent variables included in the model are

the industrial production value and labor demand

in the previous year The labor demand in this

year depends on the business results in the

previous year and the number of employees hired

from the previous year, Other variables could also

be included in the model, such as labor

productivity and wages However, because of the

absence of data on these two variables, the author

only include the previous two variables The

forecasting model is as Equation 1

In which "In labor," is the natural logarithm of

labors working in the industry of ethnic minority

and mountainous areas in year t, "In labor,,/'" is

the natural logarithm of labors working in

industries in ethnic minonty and mountainous

areas in year t-1, and "In vo/we,./' is natural

logarithms of industrial production value of region

in year t-1, et the interference factor of the model;

OQ, P|, p2 ^r^ the parameters that need to be

estimated in the model

3 Forecasting results

The industtial production value of the region

was actually collected until 2016 from the

Vietnam General Statistics Office, because in the

model it was assumed to be exogenous variable

so the remaining values from 2017 to 2030 were calculated based on the Vietnam Industrial Development Strategy to 2025 The vision to 2035 was approved under Decision No 879/QD-TTg of June 9, 2014 The Vietnam Industnal Development Strategy to 2025 and vision to 2035 set specific industrial value growth targets as follows: the growth rate of industrial production value in the period to 2020 reaches 12, 5-13.0% each year, the period of 2021-2025 reaches 11.0-I2.57f each year and die period of 2026-2035 reaches 10.5'7c -11.0% each year We also propose a scenario assuming that the industry of the ethnic minority and mountainous regions also grows at a rate equal to the country's industrial growth rate as set out in the Strategy

The average growth rate of industrial production value from 1985 to 2016 of ethnic minority and mountainous areas reached 10.34%; Meanwhile, the whole country in this period was 12.36% The growth rate of industrial production value of ethnic minority and mountainous region

is 2.02% lower than that of the whole country Therefore, the author proposed a second scenario

to maintain the growth rate of production value of ethnic minority and mountainous areas lower than the whole country by 2.02% in the period after

2016 to forecast labor demand of the region's industry On that basis, the author gave three prediction values of industrial labor demand of the region with corresponding names of low, medium and high growth Low growth is that the author takes the two margins of the growth of the country's industrial production value under the Strategy and adds up the average to divide by 2.027f to add the industrial growth value of ethnic minority and mountainous region with the low growth scenario; the average growth is equal to the lower boundary value of Vietnam's industrial growth as outlined in the Strategy; and high growth IS as high as the upper growth rate of the Strategy After proceeding with estimating Equation 1, the author got the results as in Table 1

So 17-Thang 7/2020 215

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Table 1 Estimating labor demand in Industry

in ethnic minority and mountainous region

1 m

VARIABLES

ln/abor(.,

Ln/afaor

0 842™

(0.0896) Inra/uệj

Constant

Obsen/ations

R-squared

0.0984"

(0.0470)

1 177 (0.772)

31 0.973

Note: Standard errors in parentheses, *** and ** mean

reliable statistical values at 99% and 95%; In is natural

logarithm: observations are ihe total number of

observations: R-squared is the square of the smallest

error

Source: Author's Calculation

Based on the estimation results, it is clear that

the industrial labor demand of ethnic minority and

mountainous areas depends on two factors: the

industrial production value of the previous year

and the hired labor of the previous year with

dependence such as after:

- The labor demand of the next year increases

when the labor demand of the previous year

increases and the corresponding increase is

0.842% That is, when the labor demand of the

previous year increased by 1%, the labor demand

of the following year increased by 0.842%,

- The labor demand of the next year increases

when the industrial production value of the

previous year increases and the corresponding

increase is 0.0984% That is, when the industrial

production value of the previous year increased

by 1% the industrial labor demand of the

following year increased b\ 0.0984%

Especially, the least squared enor value of the model is up to 97.3% close to the value of 1, proving that the model was built in accordance with the data set usmg regression run up to 97.3% The square R level is very high, reasonable to forecast the industrial labor demand of the region until 2030 The indusuial value of the region from

2017 to 2030 based on the above scenarios was calculated and shown in Table 2

Table 2 Growth scenarios of industrial production value in ethnic minority and mountainous regions till 2030

Unit: %

Year

2017

2018

2019

2020

2021

2022

2023

2024

2025

2026

2027

2028

2029

2030

Low growth

10,73 10,73 10,73 10,73 9,73 9,73 9,73 9,73 9,73 8,73 8,73 8,73 8,73 8,73

AveiBge growth

12,6 12,5 12,5 12,5

11

11

11

11

11 10,6 10,5 10,5 10,6 10,5

High growth

13

13

13

13 12,5 12,5 12,6 12,5 12,5

11

11

11

11

11

Source: Author's Calculation

With the scenarios of industrial production value as above and based on the estimation results

of equation I, the author forecast Ihe region's industrial labor demand as follows (forecast results are provided in Figure 1)

From the industrial labor demand forecasts in ethnic minority and mountainous areas, the author compared the industrial labor market of this

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Figure 1: Forecast of industrial labor demand in ethnic minority and mountainous areas by 2030

(Unit: person)

2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030

• Scenario 1 - Low growth ^ ^ ^ Scenario 2 - Average growth — — Scenario 3 - High growdi

region with these regions with

the given scenarios The

comparison helps us to

determine whether in the period

from now to 2030, the region's

industrial labor market will be

under pressure from a lack of

supply or a lack of demand in

order to develop the labor

market most effectively

Detailed data on industrial labor

demand forecast is presented in

Table 3

4 Conclusion

Labor is one of the important

input factors for production, the

more labor force increases, the

more value of production

increases Accurate

determination of labor demand

to ensure a continuous and

highly efficient production

process is a necessary

component in a region's

socio-Source: Author's Calculation

Table 3 Forecast of industrial labor demand In ethnic minority and mountainous areas till 2030 with 3 scenarios

Unit: Persons

Year

2017

2018

2019

2020

2021

2022

2023

2024

2026

2026

2027

2028

2029

2030

Low growth 1.163.153 1.249.732 1.360778 1.456.703 1.567.966 1.683 606

1 803.781 1.929.241 2.060.359 2.197.634 2.339.476

2 486.378 2.638 840 2.797.386

Average growth

1 153.153 1.261 684 1.356 782 1.469.015 1.588.994 1.713 679 1.843.230 1.978.441 2.119 738 2.267.676 2.423.916 2.589 099 2.763.906 2.949.043

High growth 1.153.153 1.252.231 1.358.467 1.472.477

1 594.928 1.725.780

1 866.748 2.015.592 1 2.176.130 2.348.238 2.529.608 2.720.742 2.922.790 3.136.550

Source: Author's Calculation

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economic development plan The paper has scenario of the highest growth of industrial forecast industrial labor demand of ethnic production value With the prediction of industrial minority areas with the results: industrial labor labor supply and demand for ethnic minority and demand of ethnic minority and mountainous mountainous areas, the audior hopes this forecast regions by 2030 tends to increase By 2030, it is will be a useful reference for policy makers on forecasted that the demand for industrial labor planning for industrial development in ethnic will increase to 3,136,549 according to the minority and mountainous areas in die future!

REFERENCES:

[1] Tong Cue Thong kg, Cong nghjgp Viet Nam 20 nam doi mdi \i phit tri^n 1986-2005 https://www.gso.gov.vn/defauli.aspx?tahid=418&ltemlD=4326, truy cap ngay 15/05/2020

[2] Tdng cue Thong ke (2016), Kit qud Diiu tra ca sd sdn xudt kinh doanh cd the phi nong nghidp giai dogn 2005-2015 Nha xuat ban Thong ke

[3] Tong cue Tho'ng ke, Niem gi^m thong ke c5c nam til nam 2005 de'n nam 2017, hitps.V/www.gso.gov.vn tmy

cap ngay 15/05/2020

[4] Vi6n Nghidn cflu phat trien/trung tam phan tich va dif bao (2003), Suphdt Irien kinh ticua cde ddn tgc thieu

sd d Viet Nam

[5] UNDP, tJy ban Dan toe (2010), Nghien cu'u thUc trang ngu6n nh§n luc vQng dan tpc thieu so (DTTS) v^ dl xuS.'t c5c gidi phdp phat trien nguon nhan life viing DT& MN, Ha N6i

[6J UNDP (2017), Irish Aid, Uy ban D3n toe, Tong quan thuc trgng kinh ti - xa h^i cua 53 ddn loc thieu sd,

Ha Noi

[7] 1 Liu, J., Goryakin, Y., Maeda, A., Bruckner, T and a Schefer, R (2016), "Global Health Workforce Labor Market Demand Projections for 2030", Policy Research Working Paper, Health Nutrition and Population Global

Practice Group, World Bank Group

[8] Jerrell, M.E, and Morgan , JM (1988), Modehng Labor Demand in a State Econometric Model The Review

of Regional Studies, 18(3), 31-40

[9] Vereen, S.C, Rasdorf, W., and Hummer, J.E (2016) Application and Results of a Skilled Labor Demand

Forecast Model for the US Constmction Industry International Journal of Engineering Science Invention, 5( 10),

37-48

Received date: July 1,2020

Reviewed date: July 14,2020

Accepted date: July 30, 2020

Author information:

DUONG HUONG LAM

Thai Nguyen University of Technology

Thai Nguyen University

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DV BAO NHU CAU LAO DONG CHO PHAT TRIEN

C 6 N G N G H I E P VUNG DAN TOC THIEU SO

VA MIEN NUI TAI VIET NAM

• ThS, DUONG HUdNG LAM

Dgi hoc Ky thugt Cong nghidp Dqi hoc Thdi Nguyen

TOM TAT:

Phdt tnen cong nghi6p la dinh hifdng quan trpng de phat trien kinh te - xa hoi vung dan

tpc thieu so va miln nui Viet Nam trong giai doan s^p tdi Trong khi do, dan cd thUa thdt vh c6 trinh dp dan cd tha'p hPn cic khu vifc khac lu6n la mpt trong nhu'ng thach thiJ'c gSy nhilu kh6 khan cho phat trien cong nghidp d khu vyc nay, Vi vay, dif bdo nhu cau nhSn lUc cho phat trien c6ng nghidp IS dac biet quan trpng di cde nhd quan Iy dia phifdng c6 nhffng ehinh sach

phii hdp de chu^n bi tot ngu6n nhdn life cho qua trinh phat trien cong nghiep d giai doan s^p tdi Bai viet da dif bao nhu clu lao ddng cdng nghiep d viing dan tgc diieu so' vd miln ndi

dd'n ndm 2030 biing cdch su" dung mo hinh dijf bao ci5a Liu va cpng s\i va dff lidu trong giai

doan 1986-2016 Bid'n phu thupc cua mo hinh Id logarit tff nhien cua lao dpng sijf dung trong ngdnh cua khu vffc vd cde bie'n dpc lap trong md hinh la gia tri san xua't cong nghiep vd nhu cau lao dpng trong nam tnfdc Ke't qua nghien cffu da chi ra rdng: Nhu cau Iao dpng cdng nghidp tai vung dan tgc thid'u sd va mien niii tdi ndm 2030 cd xu hffdng tang Dd'n ndm 2030,

dff bdo nhu ciu lao dOng edng nghidp se tang Idn 3.136.549 ngffdi dieo kich ban tdng trffdng

cao nha't cua gid tri sdn xua't cdng nghiep

Tiif khoa: Cdng nghiep, dff bdo, nhu cau lao ddng, phat triin, vung dan tdc thieu so' vd miln nui

So 17-Thang 7/2020 219

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