پژوهش ها و چشم اندازهای اقتصادی

پژوهش ها و چشم اندازهای اقتصادی

پیشران‌های رشد بهره‌وری فعالیت‌های معدنی ایران

نویسندگان
1 دانشجوی دکتری، گروه اقتصاد، واحد فیروزکوه، دانشگاه آزاد اسلامی، فیروزکوه، ایران
2 دانشیار، گروه اقتصاد، واحد فیروزکوه، دانشگاه آزاد اسلامی، فیروزکوه، ایران
3 استادیار،گروه اقتصاد، واحد فیروزکوه، دانشگاه آزاد اسلامی، فیروزکوه، ایران
چکیده
هدف از نگارش این مقاله، تجزیه منابع رشد بهره‌وری کل عوامل تولید 36 فعالیت معدنی بر حسب سه جزء پیشرفت فنی، تغییرات کارآیی فنی و تغییر کارآیی مقیاس در دوره 1400-1391 است. برای برآورد تابع تولید از تابع تولید ترانسلوگ و برای برآورد کارآیی، از مدل مرزی تصادفی استفاده شده است. یافته‌ها نشان می‌دهد، برای تمامی فعالیت‌ها، کشش نیروی کار بیش از کشش تولیدی سرمایه است. متوسط کشش تولیدی نیروی کار 99/0 و کشش تولیدی سرمایه 28/0 برآورد می‌شود و بنابراین، بازدهی نسبت به مقیاس در صنعت معدن فزاینده است. افزون بر این، نتایج نشان می‌دهد، رشد بهره‌وری روند صعودی داشته و از 012/0- درصد در سال 1392 به 493/0 درصد در سال 1400 افزایش یافته است. متوسط رشد بهره‌وری فعالیت‌های معدنی 207/0 درصد بوده و از این مقدار، 193/0 درصد پیشرفت فنی، 003/0 درصد تغییر کارآیی فنی و 011/0 درصد اثرات مقیاس است. بنابراین، پیشران رشد بهره‌وری فعالیت‌های معدنی، پیشرفت فنی بوده، همچنین، رشد بهره‌وری کل در تمامی فعالیت‌ها مثبت است. بیشترین رشد بهره‌وری مربوط به فعالیت استخراج سنگ آهن (277/0 درصد) و کمترین رشد مربوط به فعالیت سنگ‌های قیمتی و نیمه‌قیمتی (138/0 درصد) است. 18 فعالیت بیش از متوسط (207/0 درصد) رشد داشته‌اند. در همه فعالیت‌ها، پیشرفت فنی، مهم‌ترین محرک رشد بهره‌وری بوده است. 
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Drivers of Productivity Growth in Iran’s Mining Sector

نویسندگان English

mohammad javad haddadi 1
Mahmood Mahmoodzadeh 2
Masoud Soufimajidpour 3
1 Ph.D. Candidate, Department of Economic, Fi.C., Islamic Azad University, Firoozkooh, Iran
2 Associate Professor, Department of Economic, Fi.C., Islamic Azad University, Firoozkooh, Iran
3 Assistant Professor, Department of Economic, Fi.C., Islamic Azad University, Firoozkooh, Iran
چکیده English

This study analyzes the drivers of total factor productivity (TFP) growth across 36 mining activities in Iran from 2012 to 2021 (1391–1400 in the Iranian calendar). TFP growth is decomposed into technical progress, technical efficiency change, and scale efficiency change using a translog production function and a stochastic frontier model. The results show that labor elasticity (0.99) exceeds capital elasticity (0.28), indicating a labor-intensive structure and increasing returns to scale. TFP growth increased from –0.012% in 2013 to 0.493% in 2021, with an average annual growth rate of 0.207%. Technical progress was the primary contributor (0.193%), followed by scale efficiency change (0.011%) and technical efficiency change (0.003%). Iron ore mining recorded the highest TFP growth (0.277%), while precious and semi-precious stone extraction had the lowest (0.138%). Overall, technical progress emerged as the dominant driver of productivity improvements across all sectors.

Aim and Introduction

The mining sector is strategically vital to Iran's economic development due to its abundant mineral resources. However, its contribution to GDP remains limited compared to industry and agriculture. This study examines the determinants of TFP growth in 36 mining activities between 2012 and 2021, decomposing productivity into technical progress, technical efficiency change, and scale efficiency change. The findings aim to support evidence-based policymaking and strategic investment planning in the sector.

Methodology

To estimate TFP growth and its components, a translog production function was specified and estimated using panel data from 36 mining activities. A stochastic frontier model was applied to assess technical and scale efficiency. The analysis covers the period 2012–2021 and utilizes data on labor, capital, and output levels for each activity. Productivity growth was decomposed into:


Technical Progress: Technological improvements and advancements in production processes;
Technical Efficiency Change: Changes in the effectiveness of converting inputs into outputs using existing technology;
Scale Efficiency Change: Gains or losses due to deviations from optimal production scale.


Results and Discussion

The results indicate that Iran’s mining sector is labor-intensive, with labor elasticity (0.99) significantly higher than capital elasticity (0.28). TFP growth showed an upward trend, rising from –0.012% in 2013 to 0.493% in 2021, averaging 0.207% annually. Decomposition analysis reveals that technical progress contributed 0.193% per year, scale efficiency change contributed 0.011%, and technical efficiency change contributed 0.003%. Among the mining activities, iron ore mining achieved the highest TFP growth (0.277%), while precious and semi-precious stone extraction had the lowest (0.138%). Eighteen activities exceeded the average TFP growth rate. The sector’s labor-intensive nature and vulnerability to external shocks, such as international sanctions and commodity price fluctuations, are also discussed.

Conclusion

Technical progress is the main driver of TFP growth in Iran’s mining sector, while technical and scale efficiency changes played minor roles. To enhance productivity, the sector should focus on technological adoption, workforce development, and infrastructure improvements.

Recommendations


Technology Adoption: Promote modern mining technologies and automation to boost operational efficiency.
Workforce Development: Enhance labor skills through training programs to support advanced machinery use.
Policy Support: Implement policies encouraging innovation, private investment, and sustainable practices.


Infrastructure Development: Upgrade transport, energy, and communication systems to facilitate efficient mining operations

کلیدواژه‌ها English

mining
Productivity
Scale Efficiency
Technical efficiency
Technical Progress
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